mfe.json

{
  "swagger": "2.0",
  "info": {
    "title": "Azure Machine Learning Workspaces",
    "version": "2022-10-01"
  },
  "host": "management.azure.com",
  "schemes": [
    "https"
  ],
  "paths": {
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/batchEndpoints": {
      "get": {
        "tags": [
          "BatchEndpoint"
        ],
        "summary": "Lists Batch inference endpoint in the workspace.",
        "operationId": "BatchEndpoints_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "query",
            "name": "count",
            "description": "Number of endpoints to be retrieved in a page of results.",
            "type": "integer",
            "format": "int32"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/BatchEndpointTrackedResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Batch Endpoint.": {
            "$ref": "./examples/BatchEndpoint/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/batchEndpoints/{endpointName}": {
      "delete": {
        "tags": [
          "BatchEndpoint"
        ],
        "summary": "Delete Batch Inference Endpoint (asynchronous).",
        "operationId": "BatchEndpoints_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Inference Endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          },
          "204": {
            "description": "No Content"
          }
        },
        "x-ms-examples": {
          "Delete Batch Endpoint.": {
            "$ref": "./examples/BatchEndpoint/delete.json"
          }
        },
        "x-ms-long-running-operation": true
      },
      "get": {
        "tags": [
          "BatchEndpoint"
        ],
        "summary": "Gets a batch inference endpoint by name.",
        "operationId": "BatchEndpoints_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Name for the Batch Endpoint.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/BatchEndpointTrackedResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Batch Endpoint.": {
            "$ref": "./examples/BatchEndpoint/get.json"
          }
        }
      },
      "patch": {
        "tags": [
          "BatchEndpoint"
        ],
        "summary": "Update a batch inference endpoint (asynchronous).",
        "operationId": "BatchEndpoints_Update",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Name for the Batch inference endpoint.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Mutable batch inference endpoint definition object.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/PartialMinimalTrackedResourceWithIdentity"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/BatchEndpointTrackedResource"
            }
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          }
        },
        "x-ms-examples": {
          "Update Batch Endpoint.": {
            "$ref": "./examples/BatchEndpoint/update.json"
          }
        },
        "x-ms-long-running-operation": true
      },
      "put": {
        "tags": [
          "BatchEndpoint"
        ],
        "summary": "Creates a batch inference endpoint (asynchronous).",
        "operationId": "BatchEndpoints_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Name for the Batch inference endpoint.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Batch inference endpoint definition object.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/BatchEndpointTrackedResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/BatchEndpointTrackedResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/BatchEndpointTrackedResource"
            },
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Azure-AsyncOperation": {
                "description": "URI to poll for asynchronous operation status.",
                "type": "string"
              }
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Batch Endpoint.": {
            "$ref": "./examples/BatchEndpoint/createOrUpdate.json"
          }
        },
        "x-ms-long-running-operation": true
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/batchEndpoints/{endpointName}/deployments": {
      "get": {
        "tags": [
          "BatchDeployment"
        ],
        "summary": "Lists Batch inference deployments in the workspace.",
        "operationId": "BatchDeployments_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Endpoint name",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "query",
            "name": "$orderBy",
            "description": "Ordering of list.",
            "type": "string"
          },
          {
            "in": "query",
            "name": "$top",
            "description": "Top of list.",
            "type": "integer",
            "format": "int32"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/BatchDeploymentTrackedResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Batch Deployment.": {
            "$ref": "./examples/BatchDeployment/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/batchEndpoints/{endpointName}/deployments/{deploymentName}": {
      "delete": {
        "tags": [
          "BatchDeployment"
        ],
        "summary": "Delete Batch Inference deployment (asynchronous).",
        "operationId": "BatchDeployments_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Endpoint name",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "deploymentName",
            "description": "Inference deployment identifier.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          },
          "200": {
            "description": "Success"
          },
          "204": {
            "description": "No Content"
          }
        },
        "x-ms-examples": {
          "Delete Batch Deployment.": {
            "$ref": "./examples/BatchDeployment/delete.json"
          }
        },
        "x-ms-long-running-operation": true
      },
      "get": {
        "tags": [
          "BatchDeployment"
        ],
        "summary": "Gets a batch inference deployment by id.",
        "operationId": "BatchDeployments_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Endpoint name",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "deploymentName",
            "description": "The identifier for the Batch deployments.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/BatchDeploymentTrackedResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Batch Deployment.": {
            "$ref": "./examples/BatchDeployment/get.json"
          }
        }
      },
      "patch": {
        "tags": [
          "BatchDeployment"
        ],
        "summary": "Update a batch inference deployment (asynchronous).",
        "operationId": "BatchDeployments_Update",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Inference endpoint name",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "in": "path",
            "name": "deploymentName",
            "description": "The identifier for the Batch inference deployment.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Batch inference deployment definition object.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/BatchDeploymentTrackedResource"
            }
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          }
        },
        "x-ms-examples": {
          "Update Batch Deployment.": {
            "$ref": "./examples/BatchDeployment/update.json"
          }
        },
        "x-ms-long-running-operation": true
      },
      "put": {
        "tags": [
          "BatchDeployment"
        ],
        "summary": "Creates/updates a batch inference deployment (asynchronous).",
        "operationId": "BatchDeployments_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Inference endpoint name",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "in": "path",
            "name": "deploymentName",
            "description": "The identifier for the Batch inference deployment.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Batch inference deployment definition object.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/BatchDeploymentTrackedResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/BatchDeploymentTrackedResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/BatchDeploymentTrackedResource"
            },
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Azure-AsyncOperation": {
                "description": "URI to poll for asynchronous operation status.",
                "type": "string"
              }
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Batch Deployment.": {
            "$ref": "./examples/BatchDeployment/createOrUpdate.json"
          }
        },
        "x-ms-long-running-operation": true
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/batchEndpoints/{endpointName}/listkeys": {
      "post": {
        "tags": [
          "BatchEndpoint"
        ],
        "summary": "Lists batch Inference Endpoint keys.",
        "operationId": "BatchEndpoints_ListKeys",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Inference Endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/EndpointAuthKeys"
            }
          }
        },
        "x-ms-examples": {
          "ListKeys Batch Endpoint.": {
            "$ref": "./examples/BatchEndpoint/listKeys.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/codes": {
      "get": {
        "tags": [
          "CodeContainer"
        ],
        "summary": "List containers.",
        "operationId": "CodeContainers_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/CodeContainerResourceArmPaginatedResult"
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          }
        },
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          "List Code Container.": {
            "$ref": "./examples/CodeContainer/list.json"
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        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
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      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/codes/{name}": {
      "delete": {
        "tags": [
          "CodeContainer"
        ],
        "summary": "Delete container.",
        "operationId": "CodeContainers_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
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          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
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            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string"
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          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
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          },
          "200": {
            "description": "Success"
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          "204": {
            "description": "No Content"
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        },
        "x-ms-examples": {
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      },
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        "summary": "Get container.",
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        "produces": [
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        "parameters": [
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            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
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            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
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          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
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          {
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            "name": "name",
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            "type": "string"
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              "$ref": "#/definitions/CodeContainerResource"
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      "put": {
        "tags": [
          "CodeContainer"
        ],
        "summary": "Create or update container.",
        "operationId": "CodeContainers_CreateOrUpdate",
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            "description": "Container entity to create or update.",
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        "operationId": "CodeVersions_List",
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            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
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            "in": "query",
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            "type": "integer",
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          },
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            "schema": {
              "$ref": "#/definitions/CodeVersionResourceArmPaginatedResult"
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          }
        },
        "x-ms-examples": {
          "List Code Version.": {
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        "x-ms-pageable": {
          "nextLinkName": "nextLink"
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      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/codes/{name}/versions/{version}": {
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        "tags": [
          "CodeVersion"
        ],
        "summary": "Delete version.",
        "operationId": "CodeVersions_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
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            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
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          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
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          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
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            "type": "string"
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          {
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            "name": "version",
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            "required": true,
            "type": "string"
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            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
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          "200": {
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        "x-ms-examples": {
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      },
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        "summary": "Get version.",
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            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
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            "schema": {
              "$ref": "#/definitions/CodeVersionResource"
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        },
        "x-ms-examples": {
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        "summary": "Create or update version.",
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        "x-ms-examples": {
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          {
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              "$ref": "#/definitions/ComponentContainerResourceArmPaginatedResult"
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        "x-ms-pageable": {
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    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/components/{name}": {
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        "operationId": "ComponentContainers_Delete",
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            "description": "No Content"
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        "x-ms-examples": {
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          {
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            "type": "string"
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            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
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        "x-ms-examples": {
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        "x-ms-examples": {
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          {
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          {
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          {
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              "values": [
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                {
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          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ComponentVersionResourceArmPaginatedResult"
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          }
        },
        "x-ms-examples": {
          "List Component Version.": {
            "$ref": "./examples/ComponentVersion/list.json"
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        },
        "x-ms-pageable": {
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      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/components/{name}/versions/{version}": {
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          "ComponentVersion"
        ],
        "summary": "Delete version.",
        "operationId": "ComponentVersions_Delete",
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          "application/json"
        ],
        "parameters": [
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            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
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          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
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          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
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          {
            "in": "path",
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            "type": "string"
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          {
            "in": "path",
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            "type": "string"
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          {
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          },
          "200": {
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          "204": {
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        },
        "x-ms-examples": {
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        }
      },
      "get": {
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        ],
        "summary": "Get version.",
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        "parameters": [
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            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
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          {
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            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
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          {
            "in": "path",
            "name": "name",
            "description": "Container name.",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "version",
            "description": "Version identifier.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ComponentVersionResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Component Version.": {
            "$ref": "./examples/ComponentVersion/get.json"
          }
        }
      },
      "put": {
        "tags": [
          "ComponentVersion"
        ],
        "summary": "Create or update version.",
        "operationId": "ComponentVersions_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "in": "path",
            "name": "version",
            "description": "Version identifier.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Version entity to create or update.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/ComponentVersionResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ComponentVersionResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/ComponentVersionResource"
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Component Version.": {
            "$ref": "./examples/ComponentVersion/createOrUpdate.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/data": {
      "get": {
        "tags": [
          "DataContainer"
        ],
        "summary": "List data containers.",
        "operationId": "DataContainers_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          },
          {
            "in": "query",
            "name": "listViewType",
            "description": "View type for including/excluding (for example) archived entities.",
            "type": "string",
            "default": "ActiveOnly",
            "enum": [
              "ActiveOnly",
              "ArchivedOnly",
              "All"
            ],
            "x-ms-enum": {
              "name": "ListViewType",
              "modelAsString": true,
              "values": [
                {
                  "value": "ActiveOnly"
                },
                {
                  "value": "ArchivedOnly"
                },
                {
                  "value": "All"
                }
              ]
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/DataContainerResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Data Container.": {
            "$ref": "./examples/DataContainer/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/data/{name}": {
      "delete": {
        "tags": [
          "DataContainer"
        ],
        "summary": "Delete container.",
        "operationId": "DataContainers_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "204": {
            "description": "No Content"
          }
        },
        "x-ms-examples": {
          "Delete Data Container.": {
            "$ref": "./examples/DataContainer/delete.json"
          }
        }
      },
      "get": {
        "tags": [
          "DataContainer"
        ],
        "summary": "Get container.",
        "operationId": "DataContainers_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/DataContainerResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Data Container.": {
            "$ref": "./examples/DataContainer/get.json"
          }
        }
      },
      "put": {
        "tags": [
          "DataContainer"
        ],
        "summary": "Create or update container.",
        "operationId": "DataContainers_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Container entity to create or update.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/DataContainerResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/DataContainerResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/DataContainerResource"
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Data Container.": {
            "$ref": "./examples/DataContainer/createOrUpdate.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/data/{name}/versions": {
      "get": {
        "tags": [
          "DataVersion"
        ],
        "summary": "List data versions in the data container",
        "operationId": "DataVersions_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Data container's name",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "query",
            "name": "$orderBy",
            "description": "Please choose OrderBy value from ['createdtime', 'modifiedtime']",
            "type": "string"
          },
          {
            "in": "query",
            "name": "$top",
            "description": "Top count of results, top count cannot be greater than the page size.\r\n                              If topCount > page size, results with be default page size count will be returned",
            "type": "integer",
            "format": "int32"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          },
          {
            "in": "query",
            "name": "$tags",
            "description": "Comma-separated list of tag names (and optionally values). Example: tag1,tag2=value2",
            "type": "string"
          },
          {
            "in": "query",
            "name": "listViewType",
            "description": "[ListViewType.ActiveOnly, ListViewType.ArchivedOnly, ListViewType.All]View type for including/excluding (for example) archived entities.",
            "type": "string",
            "default": "ActiveOnly",
            "enum": [
              "ActiveOnly",
              "ArchivedOnly",
              "All"
            ],
            "x-ms-enum": {
              "name": "ListViewType",
              "modelAsString": true,
              "values": [
                {
                  "value": "ActiveOnly"
                },
                {
                  "value": "ArchivedOnly"
                },
                {
                  "value": "All"
                }
              ]
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/DataVersionBaseResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Data Version Base.": {
            "$ref": "./examples/DataVersionBase/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/data/{name}/versions/{version}": {
      "delete": {
        "tags": [
          "DataVersion"
        ],
        "summary": "Delete version.",
        "operationId": "DataVersions_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name.",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "version",
            "description": "Version identifier.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "204": {
            "description": "No Content"
          }
        },
        "x-ms-examples": {
          "Delete Data Version Base.": {
            "$ref": "./examples/DataVersionBase/delete.json"
          }
        }
      },
      "get": {
        "tags": [
          "DataVersion"
        ],
        "summary": "Get version.",
        "operationId": "DataVersions_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name.",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "version",
            "description": "Version identifier.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/DataVersionBaseResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Data Version Base.": {
            "$ref": "./examples/DataVersionBase/get.json"
          }
        }
      },
      "put": {
        "tags": [
          "DataVersion"
        ],
        "summary": "Create or update version.",
        "operationId": "DataVersions_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "in": "path",
            "name": "version",
            "description": "Version identifier.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Version entity to create or update.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/DataVersionBaseResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/DataVersionBaseResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/DataVersionBaseResource"
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Data Version Base.": {
            "$ref": "./examples/DataVersionBase/createOrUpdate.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/datastores": {
      "get": {
        "tags": [
          "Datastore"
        ],
        "summary": "List datastores.",
        "operationId": "Datastores_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          },
          {
            "in": "query",
            "name": "count",
            "description": "Maximum number of results to return.",
            "type": "integer",
            "format": "int32",
            "default": 30
          },
          {
            "in": "query",
            "name": "isDefault",
            "description": "Filter down to the workspace default datastore.",
            "type": "boolean"
          },
          {
            "in": "query",
            "name": "names",
            "description": "Names of datastores to return.",
            "type": "array",
            "items": {
              "type": "string"
            }
          },
          {
            "in": "query",
            "name": "searchText",
            "description": "Text to search for in the datastore names.",
            "type": "string"
          },
          {
            "in": "query",
            "name": "orderBy",
            "description": "Order by property (createdtime | modifiedtime | name).",
            "type": "string"
          },
          {
            "in": "query",
            "name": "orderByAsc",
            "description": "Order by property in ascending order.",
            "type": "boolean",
            "default": false
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/DatastoreResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List datastores.": {
            "$ref": "./examples/Datastore/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/datastores/{name}": {
      "delete": {
        "tags": [
          "Datastore"
        ],
        "summary": "Delete datastore.",
        "operationId": "Datastores_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Datastore name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "204": {
            "description": "No Content"
          }
        },
        "x-ms-examples": {
          "Delete datastore.": {
            "$ref": "./examples/Datastore/delete.json"
          }
        }
      },
      "get": {
        "tags": [
          "Datastore"
        ],
        "summary": "Get datastore.",
        "operationId": "Datastores_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Datastore name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/DatastoreResource"
            }
          }
        },
        "x-ms-examples": {
          "Get datastore.": {
            "$ref": "./examples/Datastore/get.json"
          }
        }
      },
      "put": {
        "tags": [
          "Datastore"
        ],
        "summary": "Create or update datastore.",
        "operationId": "Datastores_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Datastore name.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "query",
            "name": "skipValidation",
            "description": "Flag to skip validation.",
            "type": "boolean",
            "default": false
          },
          {
            "in": "body",
            "name": "body",
            "description": "Datastore entity to create or update.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/DatastoreResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/DatastoreResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/DatastoreResource"
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate datastore (AzureBlob w/ AccountKey).": {
            "$ref": "./examples/Datastore/AzureBlobWAccountKey/createOrUpdate.json"
          },
          "CreateOrUpdate datastore (Azure Data Lake Gen1 w/ ServicePrincipal).": {
            "$ref": "./examples/Datastore/AzureDataLakeGen1WServicePrincipal/createOrUpdate.json"
          },
          "CreateOrUpdate datastore (Azure Data Lake Gen2 w/ Service Principal).": {
            "$ref": "./examples/Datastore/AzureDataLakeGen2WServicePrincipal/createOrUpdate.json"
          },
          "CreateOrUpdate datastore (Azure File store w/ AccountKey).": {
            "$ref": "./examples/Datastore/AzureFileWAccountKey/createOrUpdate.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/datastores/{name}/listSecrets": {
      "post": {
        "tags": [
          "Datastore"
        ],
        "summary": "Get datastore secrets.",
        "operationId": "Datastores_ListSecrets",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Datastore name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "description": "Base definition for datastore secrets.",
              "$ref": "#/definitions/DatastoreSecrets"
            }
          }
        },
        "x-ms-examples": {
          "Get datastore secrets.": {
            "$ref": "./examples/Datastore/listSecrets.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/environments": {
      "get": {
        "tags": [
          "EnvironmentContainer"
        ],
        "summary": "List environment containers.",
        "operationId": "EnvironmentContainers_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          },
          {
            "in": "query",
            "name": "listViewType",
            "description": "View type for including/excluding (for example) archived entities.",
            "type": "string",
            "default": "ActiveOnly",
            "enum": [
              "ActiveOnly",
              "ArchivedOnly",
              "All"
            ],
            "x-ms-enum": {
              "name": "ListViewType",
              "modelAsString": true,
              "values": [
                {
                  "value": "ActiveOnly"
                },
                {
                  "value": "ArchivedOnly"
                },
                {
                  "value": "All"
                }
              ]
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/EnvironmentContainerResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Environment Container.": {
            "$ref": "./examples/EnvironmentContainer/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/environments/{name}": {
      "delete": {
        "tags": [
          "EnvironmentContainer"
        ],
        "summary": "Delete container.",
        "operationId": "EnvironmentContainers_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "204": {
            "description": "No Content"
          }
        },
        "x-ms-examples": {
          "Delete Environment Container.": {
            "$ref": "./examples/EnvironmentContainer/delete.json"
          }
        }
      },
      "get": {
        "tags": [
          "EnvironmentContainer"
        ],
        "summary": "Get container.",
        "operationId": "EnvironmentContainers_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/EnvironmentContainerResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Environment Container.": {
            "$ref": "./examples/EnvironmentContainer/get.json"
          }
        }
      },
      "put": {
        "tags": [
          "EnvironmentContainer"
        ],
        "summary": "Create or update container.",
        "operationId": "EnvironmentContainers_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Container entity to create or update.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/EnvironmentContainerResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/EnvironmentContainerResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/EnvironmentContainerResource"
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Environment Container.": {
            "$ref": "./examples/EnvironmentContainer/createOrUpdate.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/environments/{name}/versions": {
      "get": {
        "tags": [
          "EnvironmentVersion"
        ],
        "summary": "List versions.",
        "operationId": "EnvironmentVersions_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "query",
            "name": "$orderBy",
            "description": "Ordering of list.",
            "type": "string"
          },
          {
            "in": "query",
            "name": "$top",
            "description": "Maximum number of records to return.",
            "type": "integer",
            "format": "int32"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          },
          {
            "in": "query",
            "name": "listViewType",
            "description": "View type for including/excluding (for example) archived entities.",
            "type": "string",
            "default": "ActiveOnly",
            "enum": [
              "ActiveOnly",
              "ArchivedOnly",
              "All"
            ],
            "x-ms-enum": {
              "name": "ListViewType",
              "modelAsString": true,
              "values": [
                {
                  "value": "ActiveOnly"
                },
                {
                  "value": "ArchivedOnly"
                },
                {
                  "value": "All"
                }
              ]
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/EnvironmentVersionResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Environment Version.": {
            "$ref": "./examples/EnvironmentVersion/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/environments/{name}/versions/{version}": {
      "delete": {
        "tags": [
          "EnvironmentVersion"
        ],
        "summary": "Delete version.",
        "operationId": "EnvironmentVersions_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "version",
            "description": "Version identifier. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "204": {
            "description": "No Content"
          }
        },
        "x-ms-examples": {
          "Delete Environment Version.": {
            "$ref": "./examples/EnvironmentVersion/delete.json"
          }
        }
      },
      "get": {
        "tags": [
          "EnvironmentVersion"
        ],
        "summary": "Get version.",
        "operationId": "EnvironmentVersions_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "version",
            "description": "Version identifier. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/EnvironmentVersionResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Environment Version.": {
            "$ref": "./examples/EnvironmentVersion/get.json"
          }
        }
      },
      "put": {
        "tags": [
          "EnvironmentVersion"
        ],
        "summary": "Creates or updates an EnvironmentVersion.",
        "operationId": "EnvironmentVersions_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Name of EnvironmentVersion. This is case-sensitive.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "in": "path",
            "name": "version",
            "description": "Version of EnvironmentVersion.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Definition of EnvironmentVersion.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/EnvironmentVersionResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/EnvironmentVersionResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/EnvironmentVersionResource"
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Environment Version.": {
            "$ref": "./examples/EnvironmentVersion/createOrUpdate.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/jobs": {
      "get": {
        "tags": [
          "Job"
        ],
        "summary": "Lists Jobs in the workspace.",
        "operationId": "Jobs_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          },
          {
            "in": "query",
            "name": "jobType",
            "description": "Type of job to be returned.",
            "type": "string"
          },
          {
            "in": "query",
            "name": "tag",
            "description": "Jobs returned will have this tag key.",
            "type": "string"
          },
          {
            "in": "query",
            "name": "listViewType",
            "description": "View type for including/excluding (for example) archived entities.",
            "type": "string",
            "default": "ActiveOnly",
            "enum": [
              "ActiveOnly",
              "ArchivedOnly",
              "All"
            ],
            "x-ms-enum": {
              "name": "ListViewType",
              "modelAsString": true,
              "values": [
                {
                  "value": "ActiveOnly"
                },
                {
                  "value": "ArchivedOnly"
                },
                {
                  "value": "All"
                }
              ]
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/JobBaseResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Command Job.": {
            "$ref": "./examples/Job/CommandJob/list.json"
          },
          "List AutoML Job.": {
            "$ref": "./examples/Job/AutoMLJob/list.json"
          },
          "List Sweep Job.": {
            "$ref": "./examples/Job/SweepJob/list.json"
          },
          "List Pipeline Job.": {
            "$ref": "./examples/Job/PipelineJob/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/jobs/{id}": {
      "delete": {
        "tags": [
          "Job"
        ],
        "summary": "Deletes a Job (asynchronous).",
        "operationId": "Jobs_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "id",
            "description": "The name and identifier for the Job. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          },
          "204": {
            "description": "No Content"
          }
        },
        "x-ms-examples": {
          "Delete Job.": {
            "$ref": "./examples/Job/delete.json"
          }
        },
        "x-ms-long-running-operation": true
      },
      "get": {
        "tags": [
          "Job"
        ],
        "summary": "Gets a Job by name/id.",
        "operationId": "Jobs_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "id",
            "description": "The name and identifier for the Job. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/JobBaseResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Command Job.": {
            "$ref": "./examples/Job/CommandJob/get.json"
          },
          "Get AutoML Job.": {
            "$ref": "./examples/Job/AutoMLJob/get.json"
          },
          "Get Sweep Job.": {
            "$ref": "./examples/Job/SweepJob/get.json"
          },
          "Get Pipeline Job.": {
            "$ref": "./examples/Job/PipelineJob/get.json"
          }
        }
      },
      "put": {
        "tags": [
          "Job"
        ],
        "summary": "Creates and executes a Job.",
        "operationId": "Jobs_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "id",
            "description": "The name and identifier for the Job. This is case-sensitive.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Job definition object.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/JobBaseResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/JobBaseResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/JobBaseResource"
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Command Job.": {
            "$ref": "./examples/Job/CommandJob/createOrUpdate.json"
          },
          "CreateOrUpdate AutoML Job.": {
            "$ref": "./examples/Job/AutoMLJob/createOrUpdate.json"
          },
          "CreateOrUpdate Sweep Job.": {
            "$ref": "./examples/Job/SweepJob/createOrUpdate.json"
          },
          "CreateOrUpdate Pipeline Job.": {
            "$ref": "./examples/Job/PipelineJob/createOrUpdate.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/jobs/{id}/cancel": {
      "post": {
        "tags": [
          "Job"
        ],
        "summary": "Cancels a Job (asynchronous).",
        "operationId": "Jobs_Cancel",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "id",
            "description": "The name and identifier for the Job. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          },
          "200": {
            "description": "Success"
          }
        },
        "x-ms-examples": {
          "Cancel Job.": {
            "$ref": "./examples/Job/cancel.json"
          }
        },
        "x-ms-long-running-operation": true,
        "x-ms-long-running-operation-options": {
          "final-state-via": "location"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/models": {
      "get": {
        "tags": [
          "ModelContainer"
        ],
        "summary": "List model containers.",
        "operationId": "ModelContainers_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          },
          {
            "in": "query",
            "name": "count",
            "description": "Maximum number of results to return.",
            "type": "integer",
            "format": "int32"
          },
          {
            "in": "query",
            "name": "listViewType",
            "description": "View type for including/excluding (for example) archived entities.",
            "type": "string",
            "default": "ActiveOnly",
            "enum": [
              "ActiveOnly",
              "ArchivedOnly",
              "All"
            ],
            "x-ms-enum": {
              "name": "ListViewType",
              "modelAsString": true,
              "values": [
                {
                  "value": "ActiveOnly"
                },
                {
                  "value": "ArchivedOnly"
                },
                {
                  "value": "All"
                }
              ]
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ModelContainerResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Model Container.": {
            "$ref": "./examples/ModelContainer/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/models/{name}": {
      "delete": {
        "tags": [
          "ModelContainer"
        ],
        "summary": "Delete container.",
        "operationId": "ModelContainers_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "204": {
            "description": "No Content"
          }
        },
        "x-ms-examples": {
          "Delete Model Container.": {
            "$ref": "./examples/ModelContainer/delete.json"
          }
        }
      },
      "get": {
        "tags": [
          "ModelContainer"
        ],
        "summary": "Get container.",
        "operationId": "ModelContainers_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ModelContainerResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Model Container.": {
            "$ref": "./examples/ModelContainer/get.json"
          }
        }
      },
      "put": {
        "tags": [
          "ModelContainer"
        ],
        "summary": "Create or update container.",
        "operationId": "ModelContainers_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Container entity to create or update.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/ModelContainerResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ModelContainerResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/ModelContainerResource"
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Model Container.": {
            "$ref": "./examples/ModelContainer/createOrUpdate.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/models/{name}/versions": {
      "get": {
        "tags": [
          "ModelVersion"
        ],
        "summary": "List model versions.",
        "operationId": "ModelVersions_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Model name. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          },
          {
            "in": "query",
            "name": "$orderBy",
            "description": "Ordering of list.",
            "type": "string"
          },
          {
            "in": "query",
            "name": "$top",
            "description": "Maximum number of records to return.",
            "type": "integer",
            "format": "int32"
          },
          {
            "in": "query",
            "name": "version",
            "description": "Model version.",
            "type": "string"
          },
          {
            "in": "query",
            "name": "description",
            "description": "Model description.",
            "type": "string"
          },
          {
            "in": "query",
            "name": "offset",
            "description": "Number of initial results to skip.",
            "type": "integer",
            "format": "int32"
          },
          {
            "in": "query",
            "name": "tags",
            "description": "Comma-separated list of tag names (and optionally values). Example: tag1,tag2=value2",
            "type": "string"
          },
          {
            "in": "query",
            "name": "properties",
            "description": "Comma-separated list of property names (and optionally values). Example: prop1,prop2=value2",
            "type": "string"
          },
          {
            "in": "query",
            "name": "feed",
            "description": "Name of the feed.",
            "type": "string"
          },
          {
            "in": "query",
            "name": "listViewType",
            "description": "View type for including/excluding (for example) archived entities.",
            "type": "string",
            "default": "ActiveOnly",
            "enum": [
              "ActiveOnly",
              "ArchivedOnly",
              "All"
            ],
            "x-ms-enum": {
              "name": "ListViewType",
              "modelAsString": true,
              "values": [
                {
                  "value": "ActiveOnly"
                },
                {
                  "value": "ArchivedOnly"
                },
                {
                  "value": "All"
                }
              ]
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ModelVersionResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Model Version.": {
            "$ref": "./examples/ModelVersion/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/models/{name}/versions/{version}": {
      "delete": {
        "tags": [
          "ModelVersion"
        ],
        "summary": "Delete version.",
        "operationId": "ModelVersions_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "version",
            "description": "Version identifier. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "204": {
            "description": "No Content"
          }
        },
        "x-ms-examples": {
          "Delete Model Version.": {
            "$ref": "./examples/ModelVersion/delete.json"
          }
        }
      },
      "get": {
        "tags": [
          "ModelVersion"
        ],
        "summary": "Get version.",
        "operationId": "ModelVersions_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "version",
            "description": "Version identifier. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ModelVersionResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Model Version.": {
            "$ref": "./examples/ModelVersion/get.json"
          }
        }
      },
      "put": {
        "tags": [
          "ModelVersion"
        ],
        "summary": "Create or update version.",
        "operationId": "ModelVersions_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Container name. This is case-sensitive.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "in": "path",
            "name": "version",
            "description": "Version identifier. This is case-sensitive.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Version entity to create or update.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/ModelVersionResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ModelVersionResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/ModelVersionResource"
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Model Version.": {
            "$ref": "./examples/ModelVersion/createOrUpdate.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/onlineEndpoints": {
      "get": {
        "tags": [
          "OnlineEndpoint"
        ],
        "summary": "List Online Endpoints.",
        "operationId": "OnlineEndpoints_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "query",
            "name": "name",
            "description": "Name of the endpoint.",
            "type": "string"
          },
          {
            "in": "query",
            "name": "count",
            "description": "Number of endpoints to be retrieved in a page of results.",
            "type": "integer",
            "format": "int32"
          },
          {
            "in": "query",
            "name": "computeType",
            "description": "EndpointComputeType to be filtered by.",
            "type": "string",
            "enum": [
              "Managed",
              "Kubernetes",
              "AzureMLCompute"
            ],
            "x-ms-enum": {
              "name": "EndpointComputeType",
              "modelAsString": true
            }
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          },
          {
            "in": "query",
            "name": "tags",
            "description": "A set of tags with which to filter the returned models. It is a comma separated string of tags key or tags key=value. Example: tagKey1,tagKey2,tagKey3=value3 .",
            "type": "string"
          },
          {
            "in": "query",
            "name": "properties",
            "description": "A set of properties with which to filter the returned models. It is a comma separated string of properties key and/or properties key=value Example: propKey1,propKey2,propKey3=value3 .",
            "type": "string"
          },
          {
            "in": "query",
            "name": "orderBy",
            "description": "The option to order the response.",
            "type": "string",
            "enum": [
              "CreatedAtDesc",
              "CreatedAtAsc",
              "UpdatedAtDesc",
              "UpdatedAtAsc"
            ],
            "x-ms-enum": {
              "name": "OrderString",
              "modelAsString": true
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/OnlineEndpointTrackedResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Online Endpoint.": {
            "$ref": "./examples/OnlineEndpoint/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/onlineEndpoints/{endpointName}": {
      "delete": {
        "tags": [
          "OnlineEndpoint"
        ],
        "summary": "Delete Online Endpoint (asynchronous).",
        "operationId": "OnlineEndpoints_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Online Endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "204": {
            "description": "No Content"
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          },
          "200": {
            "description": "Success"
          }
        },
        "x-ms-examples": {
          "Delete Online Endpoint.": {
            "$ref": "./examples/OnlineEndpoint/delete.json"
          }
        },
        "x-ms-long-running-operation": true
      },
      "get": {
        "tags": [
          "OnlineEndpoint"
        ],
        "summary": "Get Online Endpoint.",
        "operationId": "OnlineEndpoints_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Online Endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/OnlineEndpointTrackedResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Online Endpoint.": {
            "$ref": "./examples/OnlineEndpoint/get.json"
          }
        }
      },
      "patch": {
        "tags": [
          "OnlineEndpoint"
        ],
        "summary": "Update Online Endpoint (asynchronous).",
        "operationId": "OnlineEndpoints_Update",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Online Endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Online Endpoint entity to apply during operation.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/PartialMinimalTrackedResourceWithIdentity"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/OnlineEndpointTrackedResource"
            }
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          }
        },
        "x-ms-examples": {
          "Update Online Endpoint.": {
            "$ref": "./examples/OnlineEndpoint/update.json"
          }
        },
        "x-ms-long-running-operation": true
      },
      "put": {
        "tags": [
          "OnlineEndpoint"
        ],
        "summary": "Create or update Online Endpoint (asynchronous).",
        "operationId": "OnlineEndpoints_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Online Endpoint name.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Online Endpoint entity to apply during operation.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/OnlineEndpointTrackedResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/OnlineEndpointTrackedResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/OnlineEndpointTrackedResource"
            },
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Azure-AsyncOperation": {
                "description": "URI to poll for asynchronous operation status.",
                "type": "string"
              }
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Online Endpoint.": {
            "$ref": "./examples/OnlineEndpoint/createOrUpdate.json"
          }
        },
        "x-ms-long-running-operation": true
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/onlineEndpoints/{endpointName}/deployments": {
      "get": {
        "tags": [
          "OnlineDeployment"
        ],
        "summary": "List Inference Endpoint Deployments.",
        "operationId": "OnlineDeployments_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Inference endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "query",
            "name": "$orderBy",
            "description": "Ordering of list.",
            "type": "string"
          },
          {
            "in": "query",
            "name": "$top",
            "description": "Top of list.",
            "type": "integer",
            "format": "int32"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/OnlineDeploymentTrackedResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Online Deployments.": {
            "$ref": "./examples/OnlineDeployment/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/onlineEndpoints/{endpointName}/deployments/{deploymentName}": {
      "delete": {
        "tags": [
          "OnlineDeployment"
        ],
        "summary": "Delete Inference Endpoint Deployment (asynchronous).",
        "operationId": "OnlineDeployments_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Inference endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "deploymentName",
            "description": "Inference Endpoint Deployment name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "204": {
            "description": "No Content"
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          }
        },
        "x-ms-examples": {
          "Delete Online Deployment.": {
            "$ref": "./examples/OnlineDeployment/delete.json"
          }
        },
        "x-ms-long-running-operation": true
      },
      "get": {
        "tags": [
          "OnlineDeployment"
        ],
        "summary": "Get Inference Deployment Deployment.",
        "operationId": "OnlineDeployments_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Inference endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "deploymentName",
            "description": "Inference Endpoint Deployment name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/OnlineDeploymentTrackedResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Managed Online Deployment.": {
            "$ref": "./examples/OnlineDeployment/ManagedOnlineDeployment/get.json"
          },
          "Get Kubernetes Online Deployment.": {
            "$ref": "./examples/OnlineDeployment/KubernetesOnlineDeployment/get.json"
          }
        }
      },
      "patch": {
        "tags": [
          "OnlineDeployment"
        ],
        "summary": "Update Online Deployment (asynchronous).",
        "operationId": "OnlineDeployments_Update",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Online Endpoint name.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "in": "path",
            "name": "deploymentName",
            "description": "Inference Endpoint Deployment name.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Online Endpoint entity to apply during operation.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/PartialMinimalTrackedResourceWithSku"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/OnlineDeploymentTrackedResource"
            }
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          }
        },
        "x-ms-examples": {
          "Update Managed Online Deployment.": {
            "$ref": "./examples/OnlineDeployment/ManagedOnlineDeployment/update.json"
          },
          "Update Kubernetes Online Deployment.": {
            "$ref": "./examples/OnlineDeployment/KubernetesOnlineDeployment/update.json"
          }
        },
        "x-ms-long-running-operation": true
      },
      "put": {
        "tags": [
          "OnlineDeployment"
        ],
        "summary": "Create or update Inference Endpoint Deployment (asynchronous).",
        "operationId": "OnlineDeployments_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Inference endpoint name.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "in": "path",
            "name": "deploymentName",
            "description": "Inference Endpoint Deployment name.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Inference Endpoint entity to apply during operation.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/OnlineDeploymentTrackedResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/OnlineDeploymentTrackedResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/OnlineDeploymentTrackedResource"
            },
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Azure-AsyncOperation": {
                "description": "URI to poll for asynchronous operation status.",
                "type": "string"
              }
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Managed Online Deployment.": {
            "$ref": "./examples/OnlineDeployment/ManagedOnlineDeployment/createOrUpdate.json"
          },
          "CreateOrUpdate Kubernetes Online Deployment.": {
            "$ref": "./examples/OnlineDeployment/KubernetesOnlineDeployment/createOrUpdate.json"
          }
        },
        "x-ms-long-running-operation": true
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/onlineEndpoints/{endpointName}/deployments/{deploymentName}/getLogs": {
      "post": {
        "tags": [
          "OnlineDeployment"
        ],
        "summary": "Polls an Endpoint operation.",
        "operationId": "OnlineDeployments_GetLogs",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Inference endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "deploymentName",
            "description": "The name and identifier for the endpoint.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "The request containing parameters for retrieving logs.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/DeploymentLogsRequest"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/DeploymentLogs"
            }
          }
        },
        "x-ms-examples": {
          "Get Online Deployment Logs.": {
            "$ref": "./examples/OnlineDeployment/getLogs.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/onlineEndpoints/{endpointName}/deployments/{deploymentName}/skus": {
      "get": {
        "tags": [
          "OnlineDeployment"
        ],
        "summary": "List Inference Endpoint Deployment Skus.",
        "operationId": "OnlineDeployments_ListSkus",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Inference endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "in": "path",
            "name": "deploymentName",
            "description": "Inference Endpoint Deployment name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "query",
            "name": "count",
            "description": "Number of Skus to be retrieved in a page of results.",
            "type": "integer",
            "format": "int32"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/SkuResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Managed Online Deployment Skus.": {
            "$ref": "./examples/OnlineDeployment/ManagedOnlineDeployment/listSkus.json"
          },
          "List Kubernetes Online Deployment Skus.": {
            "$ref": "./examples/OnlineDeployment/KubernetesOnlineDeployment/listSkus.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/onlineEndpoints/{endpointName}/listKeys": {
      "post": {
        "tags": [
          "OnlineEndpoint"
        ],
        "summary": "List EndpointAuthKeys for an Endpoint using Key-based authentication.",
        "operationId": "OnlineEndpoints_ListKeys",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Online Endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/EndpointAuthKeys"
            }
          }
        },
        "x-ms-examples": {
          "ListKeys Online Endpoint.": {
            "$ref": "./examples/OnlineEndpoint/listKeys.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/onlineEndpoints/{endpointName}/regenerateKeys": {
      "post": {
        "tags": [
          "OnlineEndpoint"
        ],
        "summary": "Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).",
        "operationId": "OnlineEndpoints_RegenerateKeys",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Online Endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "RegenerateKeys request .",
            "required": true,
            "schema": {
              "$ref": "#/definitions/RegenerateEndpointKeysRequest"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          }
        },
        "x-ms-examples": {
          "RegenerateKeys Online Endpoint.": {
            "$ref": "./examples/OnlineEndpoint/regenerateKeys.json"
          }
        },
        "x-ms-long-running-operation": true,
        "x-ms-long-running-operation-options": {
          "final-state-via": "location"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/onlineEndpoints/{endpointName}/token": {
      "post": {
        "tags": [
          "OnlineEndpoint"
        ],
        "summary": "Retrieve a valid AAD token for an Endpoint using AMLToken-based authentication.",
        "operationId": "OnlineEndpoints_GetToken",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "endpointName",
            "description": "Online Endpoint name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/EndpointAuthToken"
            }
          }
        },
        "x-ms-examples": {
          "GetToken Online Endpoint.": {
            "$ref": "./examples/OnlineEndpoint/getToken.json"
          }
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/schedules": {
      "get": {
        "tags": [
          "Schedule"
        ],
        "summary": "List schedules in specified workspace.",
        "operationId": "Schedules_List",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/PaginationParameter"
          },
          {
            "in": "query",
            "name": "listViewType",
            "description": "Status filter for schedule.",
            "type": "string",
            "default": "EnabledOnly",
            "enum": [
              "EnabledOnly",
              "DisabledOnly",
              "All"
            ],
            "x-ms-enum": {
              "name": "ScheduleListViewType",
              "modelAsString": true,
              "values": [
                {
                  "value": "EnabledOnly"
                },
                {
                  "value": "DisabledOnly"
                },
                {
                  "value": "All"
                }
              ]
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ScheduleResourceArmPaginatedResult"
            }
          }
        },
        "x-ms-examples": {
          "List Schedules.": {
            "$ref": "./examples/Schedule/list.json"
          }
        },
        "x-ms-pageable": {
          "nextLinkName": "nextLink"
        }
      }
    },
    "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/schedules/{name}": {
      "delete": {
        "tags": [
          "Schedule"
        ],
        "summary": "Delete schedule.",
        "operationId": "Schedules_Delete",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Schedule name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success"
          },
          "202": {
            "description": "Accepted",
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Location": {
                "description": "URI to poll for asynchronous operation result.",
                "type": "string"
              },
              "Retry-After": {
                "description": "Duration the client should wait between requests, in seconds.",
                "type": "integer",
                "format": "int32",
                "maximum": 600,
                "minimum": 10
              }
            }
          },
          "204": {
            "description": "No Content"
          }
        },
        "x-ms-examples": {
          "Delete Schedule.": {
            "$ref": "./examples/Schedule/delete.json"
          }
        },
        "x-ms-long-running-operation": true
      },
      "get": {
        "tags": [
          "Schedule"
        ],
        "summary": "Get schedule.",
        "operationId": "Schedules_Get",
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Schedule name.",
            "required": true,
            "type": "string"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ScheduleResource"
            }
          }
        },
        "x-ms-examples": {
          "Get Schedule.": {
            "$ref": "./examples/Schedule/get.json"
          }
        }
      },
      "put": {
        "tags": [
          "Schedule"
        ],
        "summary": "Create or update schedule.",
        "operationId": "Schedules_CreateOrUpdate",
        "consumes": [
          "application/json"
        ],
        "produces": [
          "application/json"
        ],
        "parameters": [
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/SubscriptionIdParameter"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ResourceGroupNameParameter"
          },
          {
            "$ref": "machineLearningServices.json#/parameters/WorkspaceNameParameter"
          },
          {
            "in": "path",
            "name": "name",
            "description": "Schedule name.",
            "required": true,
            "type": "string",
            "pattern": "^[a-zA-Z0-9][a-zA-Z0-9\\-_]{0,254}$"
          },
          {
            "$ref": "../../../../../common-types/resource-management/v3/types.json#/parameters/ApiVersionParameter"
          },
          {
            "in": "body",
            "name": "body",
            "description": "Schedule definition.",
            "required": true,
            "schema": {
              "$ref": "#/definitions/ScheduleResource"
            }
          }
        ],
        "responses": {
          "default": {
            "description": "Error",
            "schema": {
              "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/ErrorResponse"
            }
          },
          "200": {
            "description": "Success",
            "schema": {
              "$ref": "#/definitions/ScheduleResource"
            }
          },
          "201": {
            "description": "Created",
            "schema": {
              "$ref": "#/definitions/ScheduleResource"
            },
            "headers": {
              "x-ms-async-operation-timeout": {
                "description": "Timeout for the client to use when polling the asynchronous operation.",
                "type": "string",
                "format": "duration"
              },
              "Azure-AsyncOperation": {
                "description": "URI to poll for asynchronous operation status.",
                "type": "string"
              }
            }
          }
        },
        "x-ms-examples": {
          "CreateOrUpdate Schedule.": {
            "$ref": "./examples/Schedule/createOrUpdate.json"
          }
        },
        "x-ms-long-running-operation": true
      }
    }
  },
  "definitions": {
    "AccountKeyDatastoreCredentials": {
      "description": "Account key datastore credentials configuration.",
      "required": [
        "secrets"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DatastoreCredentials"
        }
      ],
      "properties": {
        "secrets": {
          "description": "[Required] Storage account secrets.",
          "$ref": "#/definitions/AccountKeyDatastoreSecrets",
          "x-ms-mutability": [
            "create",
            "update"
          ],
          "x-ms-secret": true
        }
      },
      "x-ms-discriminator-value": "AccountKey",
      "additionalProperties": false
    },
    "AccountKeyDatastoreSecrets": {
      "description": "Datastore account key secrets.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DatastoreSecrets"
        }
      ],
      "properties": {
        "key": {
          "description": "Storage account key.",
          "type": "string",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "AccountKey",
      "additionalProperties": false
    },
    "AmlToken": {
      "description": "AML Token identity configuration.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/IdentityConfiguration"
        }
      ],
      "x-ms-discriminator-value": "AMLToken",
      "additionalProperties": false
    },
    "AssetBase": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ResourceBase"
        }
      ],
      "properties": {
        "isAnonymous": {
          "description": "If the name version are system generated (anonymous registration).",
          "default": false,
          "type": "boolean",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "isArchived": {
          "description": "Is the asset archived?",
          "default": false,
          "type": "boolean",
          "x-ms-mutability": [
            "create",
            "read",
            "update"
          ]
        }
      },
      "additionalProperties": false
    },
    "AssetContainer": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ResourceBase"
        }
      ],
      "properties": {
        "isArchived": {
          "description": "Is the asset archived?",
          "default": false,
          "type": "boolean",
          "x-ms-mutability": [
            "create",
            "read",
            "update"
          ]
        },
        "latestVersion": {
          "description": "The latest version inside this container.",
          "type": "string",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ],
          "x-nullable": true
        },
        "nextVersion": {
          "description": "The next auto incremental version",
          "type": "string",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ],
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "AssetJobInput": {
      "description": "Asset input type.",
      "required": [
        "uri"
      ],
      "type": "object",
      "properties": {
        "mode": {
          "description": "Input Asset Delivery Mode.",
          "default": "ReadOnlyMount",
          "$ref": "#/definitions/InputDeliveryMode",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "uri": {
          "description": "[Required] Input Asset URI.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string"
        }
      },
      "additionalProperties": false
    },
    "AssetJobOutput": {
      "description": "Asset output type.",
      "type": "object",
      "properties": {
        "mode": {
          "description": "Output Asset Delivery Mode.",
          "default": "ReadWriteMount",
          "$ref": "#/definitions/OutputDeliveryMode",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "uri": {
          "description": "Output Asset URI.",
          "type": "string",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "AssetReferenceBase": {
      "description": "Base definition for asset references.",
      "required": [
        "referenceType"
      ],
      "type": "object",
      "properties": {
        "referenceType": {
          "description": "[Required] Specifies the type of asset reference.",
          "$ref": "#/definitions/ReferenceType"
        }
      },
      "discriminator": "referenceType"
    },
    "AutoForecastHorizon": {
      "description": "Forecast horizon determined automatically by system.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ForecastHorizon"
        }
      ],
      "x-ms-discriminator-value": "Auto",
      "additionalProperties": false
    },
    "AutoMLJob": {
      "description": "AutoMLJob class.\r\nUse this class for executing AutoML tasks like Classification/Regression etc.\r\nSee TaskType enum for all the tasks supported.",
      "required": [
        "taskDetails"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/JobBase"
        }
      ],
      "properties": {
        "environmentId": {
          "description": "The ARM resource ID of the Environment specification for the job.\r\nThis is optional value to provide, if not provided, AutoML will default this to Production AutoML curated environment version when running the job.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "environmentVariables": {
          "description": "Environment variables included in the job.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "outputs": {
          "description": "Mapping of output data bindings used in the job.",
          "type": "object",
          "additionalProperties": {
            "description": "Job output definition container information on where to find job output/logs.",
            "$ref": "#/definitions/JobOutput",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "resources": {
          "description": "Compute Resource configuration for the job.",
          "default": "{}",
          "$ref": "#/definitions/JobResourceConfiguration",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "taskDetails": {
          "description": "[Required] This represents scenario which can be one of Tables/NLP/Image",
          "$ref": "#/definitions/AutoMLVertical"
        }
      },
      "x-ms-discriminator-value": "AutoML",
      "additionalProperties": false
    },
    "AutoMLVertical": {
      "description": "AutoML vertical class.\r\nBase class for AutoML verticals - TableVertical/ImageVertical/NLPVertical",
      "required": [
        "taskType",
        "trainingData"
      ],
      "type": "object",
      "properties": {
        "logVerbosity": {
          "description": "Log verbosity for the job.",
          "default": "Info",
          "$ref": "#/definitions/LogVerbosity"
        },
        "targetColumnName": {
          "description": "Target column name: This is prediction values column.\r\nAlso known as label column name in context of classification tasks.",
          "type": "string",
          "x-nullable": true
        },
        "taskType": {
          "description": "[Required] Task type for AutoMLJob.",
          "$ref": "#/definitions/TaskType",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "trainingData": {
          "description": "[Required] Training data input.",
          "$ref": "#/definitions/MLTableJobInput"
        }
      },
      "discriminator": "taskType"
    },
    "AutoNCrossValidations": {
      "description": "N-Cross validations determined automatically.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/NCrossValidations"
        }
      ],
      "x-ms-discriminator-value": "Auto",
      "additionalProperties": false
    },
    "AutoRebuildSetting": {
      "description": "AutoRebuild setting for the derived image",
      "enum": [
        "Disabled",
        "OnBaseImageUpdate"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "AutoRebuildSetting",
        "modelAsString": true,
        "values": [
          {
            "value": "Disabled"
          },
          {
            "value": "OnBaseImageUpdate"
          }
        ]
      },
      "additionalProperties": false
    },
    "AutoSeasonality": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/Seasonality"
        }
      ],
      "x-ms-discriminator-value": "Auto",
      "additionalProperties": false
    },
    "AutoTargetLags": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TargetLags"
        }
      ],
      "x-ms-discriminator-value": "Auto",
      "additionalProperties": false
    },
    "AutoTargetRollingWindowSize": {
      "description": "Target lags rolling window determined automatically.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TargetRollingWindowSize"
        }
      ],
      "x-ms-discriminator-value": "Auto",
      "additionalProperties": false
    },
    "AzureBlobDatastore": {
      "description": "Azure Blob datastore configuration.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/Datastore"
        }
      ],
      "properties": {
        "accountName": {
          "description": "Storage account name.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "containerName": {
          "description": "Storage account container name.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "endpoint": {
          "description": "Azure cloud endpoint for the storage account.",
          "type": "string",
          "example": "core.windows.net",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "protocol": {
          "description": "Protocol used to communicate with the storage account.",
          "type": "string",
          "example": "https",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "serviceDataAccessAuthIdentity": {
          "description": "Indicates which identity to use to authenticate service data access to customer's storage.",
          "default": "None",
          "$ref": "#/definitions/ServiceDataAccessAuthIdentity",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "x-ms-discriminator-value": "AzureBlob",
      "additionalProperties": false
    },
    "AzureDataLakeGen1Datastore": {
      "description": "Azure Data Lake Gen1 datastore configuration.",
      "required": [
        "storeName"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/Datastore"
        }
      ],
      "properties": {
        "serviceDataAccessAuthIdentity": {
          "description": "Indicates which identity to use to authenticate service data access to customer's storage.",
          "default": "None",
          "$ref": "#/definitions/ServiceDataAccessAuthIdentity",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "storeName": {
          "description": "[Required] Azure Data Lake store name.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "x-ms-discriminator-value": "AzureDataLakeGen1",
      "additionalProperties": false
    },
    "AzureDataLakeGen2Datastore": {
      "description": "Azure Data Lake Gen2 datastore configuration.",
      "required": [
        "accountName",
        "filesystem"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/Datastore"
        }
      ],
      "properties": {
        "accountName": {
          "description": "[Required] Storage account name.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "endpoint": {
          "description": "Azure cloud endpoint for the storage account.",
          "type": "string",
          "example": "core.windows.net",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "filesystem": {
          "description": "[Required] The name of the Data Lake Gen2 filesystem.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "protocol": {
          "description": "Protocol used to communicate with the storage account.",
          "type": "string",
          "example": "https",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "serviceDataAccessAuthIdentity": {
          "description": "Indicates which identity to use to authenticate service data access to customer's storage.",
          "default": "None",
          "$ref": "#/definitions/ServiceDataAccessAuthIdentity",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "x-ms-discriminator-value": "AzureDataLakeGen2",
      "additionalProperties": false
    },
    "AzureFileDatastore": {
      "description": "Azure File datastore configuration.",
      "required": [
        "accountName",
        "fileShareName"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/Datastore"
        }
      ],
      "properties": {
        "accountName": {
          "description": "[Required] Storage account name.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "endpoint": {
          "description": "Azure cloud endpoint for the storage account.",
          "type": "string",
          "example": "core.windows.net",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "fileShareName": {
          "description": "[Required] The name of the Azure file share that the datastore points to.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "protocol": {
          "description": "Protocol used to communicate with the storage account.",
          "type": "string",
          "example": "https",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "serviceDataAccessAuthIdentity": {
          "description": "Indicates which identity to use to authenticate service data access to customer's storage.",
          "default": "None",
          "$ref": "#/definitions/ServiceDataAccessAuthIdentity",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "x-ms-discriminator-value": "AzureFile",
      "additionalProperties": false
    },
    "BanditPolicy": {
      "description": "Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/EarlyTerminationPolicy"
        }
      ],
      "properties": {
        "slackAmount": {
          "format": "float",
          "description": "Absolute distance allowed from the best performing run.",
          "default": 0,
          "type": "number"
        },
        "slackFactor": {
          "format": "float",
          "description": "Ratio of the allowed distance from the best performing run.",
          "default": 0,
          "type": "number"
        }
      },
      "x-ms-discriminator-value": "Bandit",
      "additionalProperties": false
    },
    "BatchDeployment": {
      "description": "Batch inference settings per deployment.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/EndpointDeploymentPropertiesBase"
        }
      ],
      "properties": {
        "compute": {
          "description": "Compute target for batch inference operation.",
          "type": "string",
          "x-nullable": true
        },
        "errorThreshold": {
          "format": "int32",
          "description": "Error threshold, if the error count for the entire input goes above this value,\r\nthe batch inference will be aborted. Range is [-1, int.MaxValue].\r\nFor FileDataset, this value is the count of file failures.\r\nFor TabularDataset, this value is the count of record failures.\r\nIf set to -1 (the lower bound), all failures during batch inference will be ignored.",
          "default": -1,
          "type": "integer"
        },
        "loggingLevel": {
          "description": "Logging level for batch inference operation.",
          "default": "Info",
          "$ref": "#/definitions/BatchLoggingLevel"
        },
        "maxConcurrencyPerInstance": {
          "format": "int32",
          "description": "Indicates maximum number of parallelism per instance.",
          "default": 1,
          "type": "integer"
        },
        "miniBatchSize": {
          "format": "int64",
          "description": "Size of the mini-batch passed to each batch invocation.\r\nFor FileDataset, this is the number of files per mini-batch.\r\nFor TabularDataset, this is the size of the records in bytes, per mini-batch.",
          "default": 10,
          "type": "integer"
        },
        "model": {
          "description": "Reference to the model asset for the endpoint deployment.",
          "$ref": "#/definitions/AssetReferenceBase",
          "x-nullable": true
        },
        "outputAction": {
          "description": "Indicates how the output will be organized.",
          "default": "AppendRow",
          "$ref": "#/definitions/BatchOutputAction"
        },
        "outputFileName": {
          "description": "Customized output file name for append_row output action.",
          "default": "predictions.csv",
          "type": "string"
        },
        "provisioningState": {
          "description": "Provisioning state for the endpoint deployment.",
          "$ref": "#/definitions/DeploymentProvisioningState",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ]
        },
        "resources": {
          "description": "Indicates compute configuration for the job.\r\nIf not provided, will default to the defaults defined in ResourceConfiguration.",
          "$ref": "#/definitions/DeploymentResourceConfiguration",
          "x-nullable": true
        },
        "retrySettings": {
          "description": "Retry Settings for the batch inference operation.\r\nIf not provided, will default to the defaults defined in BatchRetrySettings.",
          "$ref": "#/definitions/BatchRetrySettings",
          "x-nullable": true
        }
      },
      "x-ms-client-name": "BatchDeploymentProperties",
      "additionalProperties": false
    },
    "BatchDeploymentTrackedResource": {
      "required": [
        "location",
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/TrackedResource"
        }
      ],
      "properties": {
        "identity": {
          "description": "Managed service identity (system assigned and/or user assigned identities)",
          "$ref": "../../../../../common-types/resource-management/v3/managedidentity.json#/definitions/ManagedServiceIdentity"
        },
        "kind": {
          "description": "Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.",
          "type": "string"
        },
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/BatchDeployment"
        },
        "sku": {
          "description": "Sku details required for ARM contract for Autoscaling.",
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Sku"
        }
      },
      "x-ms-client-name": "BatchDeployment",
      "additionalProperties": false
    },
    "BatchDeploymentTrackedResourceArmPaginatedResult": {
      "description": "A paginated list of BatchDeployment entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of BatchDeployment objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type BatchDeployment.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/BatchDeploymentTrackedResource"
          }
        }
      },
      "additionalProperties": false
    },
    "BatchEndpoint": {
      "description": "Batch endpoint configuration.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/EndpointPropertiesBase"
        }
      ],
      "properties": {
        "defaults": {
          "description": "Default values for Batch Endpoint",
          "$ref": "#/definitions/BatchEndpointDefaults",
          "x-nullable": true
        },
        "provisioningState": {
          "description": "Provisioning state for the endpoint.",
          "$ref": "#/definitions/EndpointProvisioningState",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ]
        }
      },
      "x-ms-client-name": "BatchEndpointProperties",
      "additionalProperties": false
    },
    "BatchEndpointDefaults": {
      "description": "Batch endpoint default values",
      "type": "object",
      "properties": {
        "deploymentName": {
          "description": "Name of the deployment that will be default for the endpoint.\r\nThis deployment will end up getting 100% traffic when the endpoint scoring URL is invoked.",
          "type": "string",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "BatchEndpointTrackedResource": {
      "required": [
        "location",
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/TrackedResource"
        }
      ],
      "properties": {
        "identity": {
          "description": "Managed service identity (system assigned and/or user assigned identities)",
          "$ref": "../../../../../common-types/resource-management/v3/managedidentity.json#/definitions/ManagedServiceIdentity"
        },
        "kind": {
          "description": "Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.",
          "type": "string"
        },
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/BatchEndpoint"
        },
        "sku": {
          "description": "Sku details required for ARM contract for Autoscaling.",
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Sku"
        }
      },
      "x-ms-client-name": "BatchEndpoint",
      "additionalProperties": false
    },
    "BatchEndpointTrackedResourceArmPaginatedResult": {
      "description": "A paginated list of BatchEndpoint entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of BatchEndpoint objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type BatchEndpoint.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/BatchEndpointTrackedResource"
          }
        }
      },
      "additionalProperties": false
    },
    "BatchLoggingLevel": {
      "description": "Log verbosity for batch inferencing.\r\nIncreasing verbosity order for logging is : Warning, Info and Debug.\r\nThe default value is Info.",
      "enum": [
        "Info",
        "Warning",
        "Debug"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "BatchLoggingLevel",
        "modelAsString": true,
        "values": [
          {
            "value": "Info"
          },
          {
            "value": "Warning"
          },
          {
            "value": "Debug"
          }
        ]
      },
      "additionalProperties": false
    },
    "BatchOutputAction": {
      "description": "Enum to determine how batch inferencing will handle output",
      "enum": [
        "SummaryOnly",
        "AppendRow"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "BatchOutputAction",
        "modelAsString": true,
        "values": [
          {
            "value": "SummaryOnly"
          },
          {
            "value": "AppendRow"
          }
        ]
      },
      "additionalProperties": false
    },
    "BatchRetrySettings": {
      "description": "Retry settings for a batch inference operation.",
      "type": "object",
      "properties": {
        "maxRetries": {
          "format": "int32",
          "description": "Maximum retry count for a mini-batch",
          "default": 3,
          "type": "integer"
        },
        "timeout": {
          "format": "duration",
          "description": "Invocation timeout for a mini-batch, in ISO 8601 format.",
          "default": "PT30S",
          "type": "string"
        }
      },
      "additionalProperties": false
    },
    "BayesianSamplingAlgorithm": {
      "description": "Defines a Sampling Algorithm that generates values based on previous values",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/SamplingAlgorithm"
        }
      ],
      "x-ms-discriminator-value": "Bayesian",
      "additionalProperties": false
    },
    "BlockedTransformers": {
      "description": "Enum for all classification models supported by AutoML.",
      "enum": [
        "TextTargetEncoder",
        "OneHotEncoder",
        "CatTargetEncoder",
        "TfIdf",
        "WoETargetEncoder",
        "LabelEncoder",
        "WordEmbedding",
        "NaiveBayes",
        "CountVectorizer",
        "HashOneHotEncoder"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "BlockedTransformers",
        "modelAsString": true,
        "values": [
          {
            "value": "TextTargetEncoder",
            "description": "Target encoding for text data."
          },
          {
            "value": "OneHotEncoder",
            "description": "Ohe hot encoding creates a binary feature transformation."
          },
          {
            "value": "CatTargetEncoder",
            "description": "Target encoding for categorical data."
          },
          {
            "value": "TfIdf",
            "description": "Tf-Idf stands for, term-frequency times inverse document-frequency. This is a common term weighting scheme for identifying information from documents."
          },
          {
            "value": "WoETargetEncoder",
            "description": "Weight of Evidence encoding is a technique used to encode categorical variables. It uses the natural log of the P(1)/P(0) to create weights."
          },
          {
            "value": "LabelEncoder",
            "description": "Label encoder converts labels/categorical variables in a numerical form."
          },
          {
            "value": "WordEmbedding",
            "description": "Word embedding helps represents words or phrases as a vector, or a series of numbers."
          },
          {
            "value": "NaiveBayes",
            "description": "Naive Bayes is a classified that is used for classification of discrete features that are categorically distributed."
          },
          {
            "value": "CountVectorizer",
            "description": "Count Vectorizer converts a collection of text documents to a matrix of token counts."
          },
          {
            "value": "HashOneHotEncoder",
            "description": "Hashing One Hot Encoder can turn categorical variables into a limited number of new features. This is often used for high-cardinality categorical features."
          }
        ]
      },
      "additionalProperties": false
    },
    "BuildContext": {
      "description": "Configuration settings for Docker build context",
      "required": [
        "contextUri"
      ],
      "type": "object",
      "properties": {
        "contextUri": {
          "description": "[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.\r\n<seealso href=\"https://docs.docker.com/engine/reference/commandline/build/#extended-description\" />",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string",
          "example": "https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "dockerfilePath": {
          "description": "Path to the Dockerfile in the build context.\r\n<seealso href=\"https://docs.docker.com/engine/reference/builder/\" />",
          "default": "Dockerfile",
          "type": "string",
          "example": "prod/Dockerfile",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "additionalProperties": false
    },
    "CertificateDatastoreCredentials": {
      "description": "Certificate datastore credentials configuration.",
      "required": [
        "clientId",
        "secrets",
        "tenantId",
        "thumbprint"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DatastoreCredentials"
        }
      ],
      "properties": {
        "authorityUrl": {
          "description": "Authority URL used for authentication.",
          "type": "string",
          "x-nullable": true
        },
        "clientId": {
          "format": "uuid",
          "description": "[Required] Service principal client ID.",
          "type": "string"
        },
        "resourceUrl": {
          "description": "Resource the service principal has access to.",
          "type": "string",
          "x-nullable": true
        },
        "secrets": {
          "description": "[Required] Service principal secrets.",
          "$ref": "#/definitions/CertificateDatastoreSecrets",
          "x-ms-mutability": [
            "create",
            "update"
          ],
          "x-ms-secret": true
        },
        "tenantId": {
          "format": "uuid",
          "description": "[Required] ID of the tenant to which the service principal belongs.",
          "type": "string"
        },
        "thumbprint": {
          "description": "[Required] Thumbprint of the certificate used for authentication.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string"
        }
      },
      "x-ms-discriminator-value": "Certificate",
      "additionalProperties": false
    },
    "CertificateDatastoreSecrets": {
      "description": "Datastore certificate secrets.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DatastoreSecrets"
        }
      ],
      "properties": {
        "certificate": {
          "description": "Service principal certificate.",
          "type": "string",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Certificate",
      "additionalProperties": false
    },
    "Classification": {
      "description": "Classification task in AutoML Table vertical.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TableVertical"
        },
        {
          "$ref": "#/definitions/AutoMLVertical"
        }
      ],
      "properties": {
        "positiveLabel": {
          "description": "Positive label for binary metrics calculation.",
          "type": "string",
          "x-nullable": true
        },
        "primaryMetric": {
          "description": "Primary metric for the task.",
          "default": "AUCWeighted",
          "$ref": "#/definitions/ClassificationPrimaryMetrics"
        },
        "trainingSettings": {
          "description": "Inputs for training phase for an AutoML Job.",
          "$ref": "#/definitions/ClassificationTrainingSettings",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Classification",
      "additionalProperties": false
    },
    "ClassificationModels": {
      "description": "Enum for all classification models supported by AutoML.",
      "enum": [
        "LogisticRegression",
        "SGD",
        "MultinomialNaiveBayes",
        "BernoulliNaiveBayes",
        "SVM",
        "LinearSVM",
        "KNN",
        "DecisionTree",
        "RandomForest",
        "ExtremeRandomTrees",
        "LightGBM",
        "GradientBoosting",
        "XGBoostClassifier"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ClassificationModels",
        "modelAsString": true,
        "values": [
          {
            "value": "LogisticRegression",
            "description": "Logistic regression is a fundamental classification technique.\nIt belongs to the group of linear classifiers and is somewhat similar to polynomial and linear regression.\nLogistic regression is fast and relatively uncomplicated, and it's convenient for you to interpret the results.\nAlthough it's essentially a method for binary classification, it can also be applied to multiclass problems."
          },
          {
            "value": "SGD",
            "description": "SGD: Stochastic gradient descent is an optimization algorithm often used in machine learning applications\nto find the model parameters that correspond to the best fit between predicted and actual outputs."
          },
          {
            "value": "MultinomialNaiveBayes",
            "description": "The multinomial Naive Bayes classifier is suitable for classification with discrete features (e.g., word counts for text classification).\nThe multinomial distribution normally requires integer feature counts. However, in practice, fractional counts such as tf-idf may also work."
          },
          {
            "value": "BernoulliNaiveBayes",
            "description": "Naive Bayes classifier for multivariate Bernoulli models."
          },
          {
            "value": "SVM",
            "description": "A support vector machine (SVM) is a supervised machine learning model that uses classification algorithms for two-group classification problems.\nAfter giving an SVM model sets of labeled training data for each category, they're able to categorize new text."
          },
          {
            "value": "LinearSVM",
            "description": "A support vector machine (SVM) is a supervised machine learning model that uses classification algorithms for two-group classification problems.\nAfter giving an SVM model sets of labeled training data for each category, they're able to categorize new text.\nLinear SVM performs best when input data is linear, i.e., data can be easily classified by drawing the straight line between classified values on a plotted graph."
          },
          {
            "value": "KNN",
            "description": "K-nearest neighbors (KNN) algorithm uses 'feature similarity' to predict the values of new datapoints\nwhich further means that the new data point will be assigned a value based on how closely it matches the points in the training set."
          },
          {
            "value": "DecisionTree",
            "description": "Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks.\nThe goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features."
          },
          {
            "value": "RandomForest",
            "description": "Random forest is a supervised learning algorithm.\nThe \"forest\" it builds, is an ensemble of decision trees, usually trained with the “bagging” method.\nThe general idea of the bagging method is that a combination of learning models increases the overall result."
          },
          {
            "value": "ExtremeRandomTrees",
            "description": "Extreme Trees is an ensemble machine learning algorithm that combines the predictions from many decision trees. It is related to the widely used random forest algorithm."
          },
          {
            "value": "LightGBM",
            "description": "LightGBM is a gradient boosting framework that uses tree based learning algorithms."
          },
          {
            "value": "GradientBoosting",
            "description": "The technique of transiting week learners into a strong learner is called Boosting. The gradient boosting algorithm process works on this theory of execution."
          },
          {
            "value": "XGBoostClassifier",
            "description": "XGBoost: Extreme Gradient Boosting Algorithm. This algorithm is used for structured data where target column values can be divided into distinct class values."
          }
        ]
      },
      "additionalProperties": false
    },
    "ClassificationMultilabelPrimaryMetrics": {
      "description": "Primary metrics for classification multilabel tasks.",
      "enum": [
        "AUCWeighted",
        "Accuracy",
        "NormMacroRecall",
        "AveragePrecisionScoreWeighted",
        "PrecisionScoreWeighted",
        "IOU"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ClassificationMultilabelPrimaryMetrics",
        "modelAsString": true,
        "values": [
          {
            "value": "AUCWeighted",
            "description": "AUC is the Area under the curve.\nThis metric represents arithmetic mean of the score for each class,\nweighted by the number of true instances in each class."
          },
          {
            "value": "Accuracy",
            "description": "Accuracy is the ratio of predictions that exactly match the true class labels."
          },
          {
            "value": "NormMacroRecall",
            "description": "Normalized macro recall is recall macro-averaged and normalized, so that random\nperformance has a score of 0, and perfect performance has a score of 1."
          },
          {
            "value": "AveragePrecisionScoreWeighted",
            "description": "The arithmetic mean of the average precision score for each class, weighted by\nthe number of true instances in each class."
          },
          {
            "value": "PrecisionScoreWeighted",
            "description": "The arithmetic mean of precision for each class, weighted by number of true instances in each class."
          },
          {
            "value": "IOU",
            "description": "Intersection Over Union. Intersection of predictions divided by union of predictions."
          }
        ]
      },
      "additionalProperties": false
    },
    "ClassificationPrimaryMetrics": {
      "description": "Primary metrics for classification tasks.",
      "enum": [
        "AUCWeighted",
        "Accuracy",
        "NormMacroRecall",
        "AveragePrecisionScoreWeighted",
        "PrecisionScoreWeighted"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ClassificationPrimaryMetrics",
        "modelAsString": true,
        "values": [
          {
            "value": "AUCWeighted",
            "description": "AUC is the Area under the curve.\nThis metric represents arithmetic mean of the score for each class,\nweighted by the number of true instances in each class."
          },
          {
            "value": "Accuracy",
            "description": "Accuracy is the ratio of predictions that exactly match the true class labels."
          },
          {
            "value": "NormMacroRecall",
            "description": "Normalized macro recall is recall macro-averaged and normalized, so that random\nperformance has a score of 0, and perfect performance has a score of 1."
          },
          {
            "value": "AveragePrecisionScoreWeighted",
            "description": "The arithmetic mean of the average precision score for each class, weighted by\nthe number of true instances in each class."
          },
          {
            "value": "PrecisionScoreWeighted",
            "description": "The arithmetic mean of precision for each class, weighted by number of true instances in each class."
          }
        ]
      },
      "additionalProperties": false
    },
    "ClassificationTrainingSettings": {
      "description": "Classification Training related configuration.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TrainingSettings"
        }
      ],
      "properties": {
        "allowedTrainingAlgorithms": {
          "description": "Allowed models for classification task.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/ClassificationModels"
          },
          "x-nullable": true
        },
        "blockedTrainingAlgorithms": {
          "description": "Blocked models for classification task.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/ClassificationModels"
          },
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "CodeConfiguration": {
      "description": "Configuration for a scoring code asset.",
      "required": [
        "scoringScript"
      ],
      "type": "object",
      "properties": {
        "codeId": {
          "description": "ARM resource ID of the code asset.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "scoringScript": {
          "description": "[Required] The script to execute on startup. eg. \"score.py\"",
          "minLength": 1,
          "pattern": "[a-zA-Z0-9_]",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "additionalProperties": false
    },
    "CodeContainer": {
      "description": "Container for code asset versions.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetContainer"
        }
      ],
      "x-ms-client-name": "CodeContainerProperties",
      "additionalProperties": false
    },
    "CodeContainerResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/CodeContainer"
        }
      },
      "x-ms-client-name": "CodeContainer",
      "additionalProperties": false
    },
    "CodeContainerResourceArmPaginatedResult": {
      "description": "A paginated list of CodeContainer entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of CodeContainer objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type CodeContainer.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/CodeContainerResource"
          }
        }
      },
      "additionalProperties": false
    },
    "CodeVersion": {
      "description": "Code asset version details.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetBase"
        }
      ],
      "properties": {
        "codeUri": {
          "description": "Uri where code is located",
          "type": "string",
          "example": "https://blobStorage/folderName",
          "x-nullable": true
        }
      },
      "x-ms-client-name": "CodeVersionProperties",
      "additionalProperties": false
    },
    "CodeVersionResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/CodeVersion"
        }
      },
      "x-ms-client-name": "CodeVersion",
      "additionalProperties": false
    },
    "CodeVersionResourceArmPaginatedResult": {
      "description": "A paginated list of CodeVersion entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of CodeVersion objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type CodeVersion.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/CodeVersionResource"
          }
        }
      },
      "additionalProperties": false
    },
    "ColumnTransformer": {
      "description": "Column transformer parameters.",
      "type": "object",
      "properties": {
        "fields": {
          "description": "Fields to apply transformer logic on.",
          "type": "array",
          "items": {
            "type": "string"
          },
          "x-nullable": true
        },
        "parameters": {
          "description": "Different properties to be passed to transformer.\r\nInput expected is dictionary of key,value pairs in JSON format.",
          "type": "object",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "CommandJob": {
      "description": "Command job definition.",
      "required": [
        "command",
        "environmentId"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/JobBase"
        }
      ],
      "properties": {
        "codeId": {
          "description": "ARM resource ID of the code asset.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "command": {
          "description": "[Required] The command to execute on startup of the job. eg. \"python train.py\"",
          "minLength": 1,
          "pattern": "[a-zA-Z0-9_]",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "distribution": {
          "description": "Distribution configuration of the job. If set, this should be one of Mpi, Tensorflow, PyTorch, or null.",
          "$ref": "#/definitions/DistributionConfiguration",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "environmentId": {
          "description": "[Required] The ARM resource ID of the Environment specification for the job.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "environmentVariables": {
          "description": "Environment variables included in the job.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "inputs": {
          "description": "Mapping of input data bindings used in the job.",
          "type": "object",
          "additionalProperties": {
            "description": "Command job definition.",
            "$ref": "#/definitions/JobInput",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "limits": {
          "description": "Command Job limit.",
          "$ref": "#/definitions/CommandJobLimits",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "outputs": {
          "description": "Mapping of output data bindings used in the job.",
          "type": "object",
          "additionalProperties": {
            "description": "Job output definition container information on where to find job output/logs.",
            "$ref": "#/definitions/JobOutput",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "parameters": {
          "description": "Input parameters.",
          "type": "object",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ],
          "x-nullable": true
        },
        "resources": {
          "description": "Compute Resource configuration for the job.",
          "default": "{}",
          "$ref": "#/definitions/JobResourceConfiguration",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "x-ms-discriminator-value": "Command",
      "additionalProperties": false
    },
    "CommandJobLimits": {
      "description": "Command Job limit class.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/JobLimits"
        }
      ],
      "x-ms-discriminator-value": "Command",
      "additionalProperties": false
    },
    "ComponentContainer": {
      "description": "Component container definition.\r\n<see href=\"https://docs.microsoft.com/en-us/azure/machine-learning/reference-yaml-component-command\" />",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetContainer"
        }
      ],
      "x-ms-client-name": "ComponentContainerProperties",
      "additionalProperties": false
    },
    "ComponentContainerResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/ComponentContainer"
        }
      },
      "x-ms-client-name": "ComponentContainer",
      "additionalProperties": false
    },
    "ComponentContainerResourceArmPaginatedResult": {
      "description": "A paginated list of ComponentContainer entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of ComponentContainer objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type ComponentContainer.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/ComponentContainerResource"
          }
        }
      },
      "additionalProperties": false
    },
    "ComponentVersion": {
      "description": "Definition of a component version: defines resources that span component types.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetBase"
        }
      ],
      "properties": {
        "componentSpec": {
          "description": "Defines Component definition details.\r\n<see href=\"https://docs.microsoft.com/en-us/azure/machine-learning/reference-yaml-component-command\" />",
          "type": "object",
          "example": {
            "name": "Hello_Python_World",
            "display_name": "Hello_Python_World",
            "version": 1,
            "type": "command",
            "code": "azureml:/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/mycode/versions/1",
            "environment": "azureml:/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/AzureML-Tutorial/versions/1",
            "command": "python hello.py"
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        }
      },
      "x-ms-client-name": "ComponentVersionProperties",
      "additionalProperties": false
    },
    "ComponentVersionResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/ComponentVersion"
        }
      },
      "x-ms-client-name": "ComponentVersion",
      "additionalProperties": false
    },
    "ComponentVersionResourceArmPaginatedResult": {
      "description": "A paginated list of ComponentVersion entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of ComponentVersion objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type ComponentVersion.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/ComponentVersionResource"
          }
        }
      },
      "additionalProperties": false
    },
    "ContainerResourceRequirements": {
      "description": "Resource requirements for each container instance within an online deployment.",
      "type": "object",
      "properties": {
        "containerResourceLimits": {
          "description": "Container resource limit info:",
          "$ref": "#/definitions/ContainerResourceSettings",
          "x-nullable": true
        },
        "containerResourceRequests": {
          "description": "Container resource request info:",
          "$ref": "#/definitions/ContainerResourceSettings",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "ContainerResourceSettings": {
      "type": "object",
      "properties": {
        "cpu": {
          "description": "Number of vCPUs request/limit for container. More info:\r\nhttps://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/",
          "type": "string",
          "example": "1",
          "x-nullable": true
        },
        "gpu": {
          "description": "Number of Nvidia GPU cards request/limit for container. More info:\r\nhttps://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/",
          "type": "string",
          "example": "1",
          "x-nullable": true
        },
        "memory": {
          "description": "Memory size request/limit for container. More info:\r\nhttps://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/",
          "type": "string",
          "example": "2Gi",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "ContainerType": {
      "enum": [
        "StorageInitializer",
        "InferenceServer"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ContainerType",
        "modelAsString": true,
        "values": [
          {
            "value": "StorageInitializer"
          },
          {
            "value": "InferenceServer"
          }
        ]
      },
      "additionalProperties": false
    },
    "CredentialsType": {
      "description": "Enum to determine the datastore credentials type.",
      "enum": [
        "AccountKey",
        "Certificate",
        "None",
        "Sas",
        "ServicePrincipal"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "CredentialsType",
        "modelAsString": true,
        "values": [
          {
            "value": "AccountKey"
          },
          {
            "value": "Certificate"
          },
          {
            "value": "None"
          },
          {
            "value": "Sas"
          },
          {
            "value": "ServicePrincipal"
          }
        ]
      },
      "additionalProperties": false
    },
    "CronTrigger": {
      "required": [
        "expression"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TriggerBase"
        }
      ],
      "properties": {
        "expression": {
          "description": "[Required] Specifies cron expression of schedule.\r\nThe expression should follow NCronTab format.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string"
        }
      },
      "x-ms-discriminator-value": "Cron",
      "additionalProperties": false
    },
    "CustomForecastHorizon": {
      "description": "The desired maximum forecast horizon in units of time-series frequency.",
      "required": [
        "value"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ForecastHorizon"
        }
      ],
      "properties": {
        "value": {
          "format": "int32",
          "description": "[Required] Forecast horizon value.",
          "type": "integer"
        }
      },
      "x-ms-discriminator-value": "Custom",
      "additionalProperties": false
    },
    "CustomModelJobInput": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetJobInput"
        },
        {
          "$ref": "#/definitions/JobInput"
        }
      ],
      "x-ms-discriminator-value": "custom_model",
      "additionalProperties": false
    },
    "CustomModelJobOutput": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetJobOutput"
        },
        {
          "$ref": "#/definitions/JobOutput"
        }
      ],
      "x-ms-discriminator-value": "custom_model",
      "additionalProperties": false
    },
    "CustomNCrossValidations": {
      "description": "N-Cross validations are specified by user.",
      "required": [
        "value"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/NCrossValidations"
        }
      ],
      "properties": {
        "value": {
          "format": "int32",
          "description": "[Required] N-Cross validations value.",
          "type": "integer"
        }
      },
      "x-ms-discriminator-value": "Custom",
      "additionalProperties": false
    },
    "CustomSeasonality": {
      "required": [
        "value"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/Seasonality"
        }
      ],
      "properties": {
        "value": {
          "format": "int32",
          "description": "[Required] Seasonality value.",
          "type": "integer"
        }
      },
      "x-ms-discriminator-value": "Custom",
      "additionalProperties": false
    },
    "CustomTargetLags": {
      "required": [
        "values"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TargetLags"
        }
      ],
      "properties": {
        "values": {
          "description": "[Required] Set target lags values.",
          "type": "array",
          "items": {
            "format": "int32",
            "type": "integer"
          }
        }
      },
      "x-ms-discriminator-value": "Custom",
      "additionalProperties": false
    },
    "CustomTargetRollingWindowSize": {
      "required": [
        "value"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TargetRollingWindowSize"
        }
      ],
      "properties": {
        "value": {
          "format": "int32",
          "description": "[Required] TargetRollingWindowSize value.",
          "type": "integer"
        }
      },
      "x-ms-discriminator-value": "Custom",
      "additionalProperties": false
    },
    "DataContainer": {
      "description": "Container for data asset versions.",
      "required": [
        "dataType"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetContainer"
        }
      ],
      "properties": {
        "dataType": {
          "description": "[Required] Specifies the type of data.",
          "$ref": "#/definitions/DataType",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "x-ms-client-name": "DataContainerProperties",
      "additionalProperties": false
    },
    "DataContainerResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/DataContainer"
        }
      },
      "x-ms-client-name": "DataContainer",
      "additionalProperties": false
    },
    "DataContainerResourceArmPaginatedResult": {
      "description": "A paginated list of DataContainer entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of DataContainer objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type DataContainer.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/DataContainerResource"
          }
        }
      },
      "additionalProperties": false
    },
    "DataPathAssetReference": {
      "description": "Reference to an asset via its path in a datastore.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetReferenceBase"
        }
      ],
      "properties": {
        "datastoreId": {
          "description": "ARM resource ID of the datastore where the asset is located.",
          "type": "string",
          "x-nullable": true
        },
        "path": {
          "description": "The path of the file/directory in the datastore.",
          "type": "string",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "DataPath",
      "additionalProperties": false
    },
    "Datastore": {
      "description": "Base definition for datastore contents configuration.",
      "required": [
        "credentials",
        "datastoreType"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ResourceBase"
        }
      ],
      "properties": {
        "credentials": {
          "description": "[Required] Account credentials.",
          "$ref": "#/definitions/DatastoreCredentials"
        },
        "datastoreType": {
          "description": "[Required] Storage type backing the datastore.",
          "$ref": "#/definitions/DatastoreType"
        },
        "isDefault": {
          "description": "Readonly property to indicate if datastore is the workspace default datastore",
          "type": "boolean",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ]
        }
      },
      "discriminator": "datastoreType",
      "x-ms-client-name": "DatastoreProperties"
    },
    "DatastoreCredentials": {
      "description": "Base definition for datastore credentials.",
      "required": [
        "credentialsType"
      ],
      "type": "object",
      "properties": {
        "credentialsType": {
          "description": "[Required] Credential type used to authentication with storage.",
          "$ref": "#/definitions/CredentialsType"
        }
      },
      "discriminator": "credentialsType"
    },
    "DatastoreResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/Datastore"
        }
      },
      "x-ms-client-name": "Datastore",
      "additionalProperties": false
    },
    "DatastoreResourceArmPaginatedResult": {
      "description": "A paginated list of Datastore entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of Datastore objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type Datastore.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/DatastoreResource"
          }
        }
      },
      "additionalProperties": false
    },
    "DatastoreSecrets": {
      "description": "Base definition for datastore secrets.",
      "required": [
        "secretsType"
      ],
      "type": "object",
      "properties": {
        "secretsType": {
          "description": "[Required] Credential type used to authentication with storage.",
          "$ref": "#/definitions/SecretsType"
        }
      },
      "discriminator": "secretsType"
    },
    "DatastoreType": {
      "description": "Enum to determine the datastore contents type.",
      "enum": [
        "AzureBlob",
        "AzureDataLakeGen1",
        "AzureDataLakeGen2",
        "AzureFile"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "DatastoreType",
        "modelAsString": true,
        "values": [
          {
            "value": "AzureBlob"
          },
          {
            "value": "AzureDataLakeGen1"
          },
          {
            "value": "AzureDataLakeGen2"
          },
          {
            "value": "AzureFile"
          }
        ]
      },
      "additionalProperties": false
    },
    "DataType": {
      "description": "Enum to determine the type of data.",
      "enum": [
        "uri_file",
        "uri_folder",
        "mltable"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "DataType",
        "modelAsString": true,
        "values": [
          {
            "value": "uri_file"
          },
          {
            "value": "uri_folder"
          },
          {
            "value": "mltable"
          }
        ]
      },
      "additionalProperties": false
    },
    "DataVersionBase": {
      "description": "Data version base definition",
      "required": [
        "dataType",
        "dataUri"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetBase"
        }
      ],
      "properties": {
        "dataType": {
          "description": "[Required] Specifies the type of data.",
          "$ref": "#/definitions/DataType",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "dataUri": {
          "description": "[Required] Uri of the data. Usage/meaning depends on Microsoft.MachineLearning.ManagementFrontEnd.Contracts.V20221001.Assets.DataVersionBase.DataType",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "discriminator": "dataType",
      "x-ms-client-name": "DataVersionBaseProperties"
    },
    "DataVersionBaseResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/DataVersionBase"
        }
      },
      "x-ms-client-name": "DataVersionBase",
      "additionalProperties": false
    },
    "DataVersionBaseResourceArmPaginatedResult": {
      "description": "A paginated list of DataVersionBase entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of DataVersionBase objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type DataVersionBase.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/DataVersionBaseResource"
          }
        }
      },
      "additionalProperties": false
    },
    "DefaultScaleSettings": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/OnlineScaleSettings"
        }
      ],
      "x-ms-discriminator-value": "Default",
      "additionalProperties": false
    },
    "DeploymentLogs": {
      "type": "object",
      "properties": {
        "content": {
          "description": "The retrieved online deployment logs.",
          "type": "string",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "DeploymentLogsRequest": {
      "type": "object",
      "properties": {
        "containerType": {
          "description": "The type of container to retrieve logs from.",
          "default": "InferenceServer",
          "$ref": "#/definitions/ContainerType"
        },
        "tail": {
          "format": "int32",
          "description": "The maximum number of lines to tail.",
          "type": "integer",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "DeploymentProvisioningState": {
      "description": "Possible values for DeploymentProvisioningState.",
      "enum": [
        "Creating",
        "Deleting",
        "Scaling",
        "Updating",
        "Succeeded",
        "Failed",
        "Canceled"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "DeploymentProvisioningState",
        "modelAsString": true,
        "values": [
          {
            "value": "Creating"
          },
          {
            "value": "Deleting"
          },
          {
            "value": "Scaling"
          },
          {
            "value": "Updating"
          },
          {
            "value": "Succeeded"
          },
          {
            "value": "Failed"
          },
          {
            "value": "Canceled"
          }
        ]
      },
      "additionalProperties": false
    },
    "DeploymentResourceConfiguration": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ResourceConfiguration"
        }
      ],
      "additionalProperties": false
    },
    "DistributionConfiguration": {
      "description": "Base definition for job distribution configuration.",
      "required": [
        "distributionType"
      ],
      "type": "object",
      "properties": {
        "distributionType": {
          "description": "[Required] Specifies the type of distribution framework.",
          "$ref": "#/definitions/DistributionType",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "discriminator": "distributionType"
    },
    "DistributionType": {
      "description": "Enum to determine the job distribution type.",
      "enum": [
        "PyTorch",
        "TensorFlow",
        "Mpi"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "DistributionType",
        "modelAsString": true,
        "values": [
          {
            "value": "PyTorch"
          },
          {
            "value": "TensorFlow"
          },
          {
            "value": "Mpi"
          }
        ]
      },
      "additionalProperties": false
    },
    "EarlyTerminationPolicy": {
      "description": "Early termination policies enable canceling poor-performing runs before they complete",
      "required": [
        "policyType"
      ],
      "type": "object",
      "properties": {
        "delayEvaluation": {
          "format": "int32",
          "description": "Number of intervals by which to delay the first evaluation.",
          "default": 0,
          "type": "integer"
        },
        "evaluationInterval": {
          "format": "int32",
          "description": "Interval (number of runs) between policy evaluations.",
          "default": 0,
          "type": "integer"
        },
        "policyType": {
          "description": "[Required] Name of policy configuration",
          "$ref": "#/definitions/EarlyTerminationPolicyType"
        }
      },
      "discriminator": "policyType"
    },
    "EarlyTerminationPolicyType": {
      "enum": [
        "Bandit",
        "MedianStopping",
        "TruncationSelection"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "EarlyTerminationPolicyType",
        "modelAsString": true,
        "values": [
          {
            "value": "Bandit"
          },
          {
            "value": "MedianStopping"
          },
          {
            "value": "TruncationSelection"
          }
        ]
      },
      "additionalProperties": false
    },
    "EgressPublicNetworkAccessType": {
      "description": "Enum to determine whether PublicNetworkAccess is Enabled or Disabled for egress of a deployment.",
      "enum": [
        "Enabled",
        "Disabled"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "EgressPublicNetworkAccessType",
        "modelAsString": true,
        "values": [
          {
            "value": "Enabled"
          },
          {
            "value": "Disabled"
          }
        ]
      },
      "additionalProperties": false
    },
    "EndpointAuthKeys": {
      "description": "Keys for endpoint authentication.",
      "type": "object",
      "properties": {
        "primaryKey": {
          "description": "The primary key.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "secondaryKey": {
          "description": "The secondary key.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "EndpointAuthMode": {
      "description": "Enum to determine endpoint authentication mode.",
      "enum": [
        "AMLToken",
        "Key",
        "AADToken"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "EndpointAuthMode",
        "modelAsString": true,
        "values": [
          {
            "value": "AMLToken"
          },
          {
            "value": "Key"
          },
          {
            "value": "AADToken"
          }
        ]
      },
      "additionalProperties": false
    },
    "EndpointAuthToken": {
      "description": "Service Token",
      "type": "object",
      "properties": {
        "accessToken": {
          "description": "Access token for endpoint authentication.",
          "type": "string",
          "x-nullable": true
        },
        "expiryTimeUtc": {
          "format": "int64",
          "description": "Access token expiry time (UTC).",
          "default": 0,
          "type": "integer"
        },
        "refreshAfterTimeUtc": {
          "format": "int64",
          "description": "Refresh access token after time (UTC).",
          "default": 0,
          "type": "integer"
        },
        "tokenType": {
          "description": "Access token type.",
          "type": "string",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "EndpointComputeType": {
      "description": "Enum to determine endpoint compute type.",
      "enum": [
        "Managed",
        "Kubernetes",
        "AzureMLCompute"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "EndpointComputeType",
        "modelAsString": true,
        "values": [
          {
            "value": "Managed"
          },
          {
            "value": "Kubernetes"
          },
          {
            "value": "AzureMLCompute"
          }
        ]
      },
      "additionalProperties": false
    },
    "EndpointDeploymentPropertiesBase": {
      "description": "Base definition for endpoint deployment.",
      "type": "object",
      "properties": {
        "codeConfiguration": {
          "description": "Code configuration for the endpoint deployment.",
          "$ref": "#/definitions/CodeConfiguration",
          "x-nullable": true
        },
        "description": {
          "description": "Description of the endpoint deployment.",
          "type": "string",
          "x-nullable": true
        },
        "environmentId": {
          "description": "ARM resource ID or AssetId of the environment specification for the endpoint deployment.",
          "type": "string",
          "x-nullable": true
        },
        "environmentVariables": {
          "description": "Environment variables configuration for the deployment.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          },
          "x-nullable": true
        },
        "properties": {
          "description": "Property dictionary. Properties can be added, but not removed or altered.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          },
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "EndpointPropertiesBase": {
      "description": "Inference Endpoint base definition",
      "required": [
        "authMode"
      ],
      "type": "object",
      "properties": {
        "authMode": {
          "description": "[Required] Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication. 'Key' doesn't expire but 'AMLToken' does.",
          "$ref": "#/definitions/EndpointAuthMode"
        },
        "description": {
          "description": "Description of the inference endpoint.",
          "type": "string",
          "x-nullable": true
        },
        "keys": {
          "description": "EndpointAuthKeys to set initially on an Endpoint.\r\nThis property will always be returned as null. AuthKey values must be retrieved using the ListKeys API.",
          "$ref": "#/definitions/EndpointAuthKeys",
          "x-ms-mutability": [
            "create"
          ],
          "x-ms-secret": true,
          "x-nullable": true
        },
        "properties": {
          "description": "Property dictionary. Properties can be added, but not removed or altered.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          },
          "x-nullable": true
        },
        "scoringUri": {
          "format": "uri",
          "description": "Endpoint URI.",
          "type": "string",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ],
          "x-nullable": true
        },
        "swaggerUri": {
          "format": "uri",
          "description": "Endpoint Swagger URI.",
          "type": "string",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ],
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "EndpointProvisioningState": {
      "description": "State of endpoint provisioning.",
      "enum": [
        "Creating",
        "Deleting",
        "Succeeded",
        "Failed",
        "Updating",
        "Canceled"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "EndpointProvisioningState",
        "modelAsString": true,
        "values": [
          {
            "value": "Creating"
          },
          {
            "value": "Deleting"
          },
          {
            "value": "Succeeded"
          },
          {
            "value": "Failed"
          },
          {
            "value": "Updating"
          },
          {
            "value": "Canceled"
          }
        ]
      },
      "additionalProperties": false
    },
    "EndpointScheduleAction": {
      "required": [
        "actionType",
        "endpointInvocationDefinition"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ScheduleActionBase"
        }
      ],
      "properties": {
        "endpointInvocationDefinition": {
          "description": "[Required] Defines Schedule action definition details.\r\n<see href=\"TBD\" />",
          "type": "object",
          "example": {
            "endpoint": "azureml:/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/batchEndpoints/hello-pipeline",
            "inputs": {
              "create_time": "${{creation_context.trigger_time}}"
            }
          },
          "x-ms-mutability": [
            "create",
            "read",
            "update"
          ]
        }
      },
      "x-ms-discriminator-value": "InvokeBatchEndpoint",
      "additionalProperties": false
    },
    "EnvironmentContainer": {
      "description": "Container for environment specification versions.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetContainer"
        }
      ],
      "x-ms-client-name": "EnvironmentContainerProperties",
      "additionalProperties": false
    },
    "EnvironmentContainerResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/EnvironmentContainer"
        }
      },
      "x-ms-client-name": "EnvironmentContainer",
      "additionalProperties": false
    },
    "EnvironmentContainerResourceArmPaginatedResult": {
      "description": "A paginated list of EnvironmentContainer entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of EnvironmentContainer objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type EnvironmentContainer.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/EnvironmentContainerResource"
          }
        }
      },
      "additionalProperties": false
    },
    "EnvironmentType": {
      "description": "Environment type is either user created or curated by Azure ML service",
      "enum": [
        "Curated",
        "UserCreated"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "EnvironmentType",
        "modelAsString": true,
        "values": [
          {
            "value": "Curated"
          },
          {
            "value": "UserCreated"
          }
        ]
      },
      "additionalProperties": false
    },
    "EnvironmentVersion": {
      "description": "Environment version details.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetBase"
        }
      ],
      "properties": {
        "autoRebuild": {
          "description": "Defines if image needs to be rebuilt based on base image changes.",
          "default": "Disabled",
          "$ref": "#/definitions/AutoRebuildSetting",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "build": {
          "description": "Configuration settings for Docker build context.",
          "$ref": "#/definitions/BuildContext",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "condaFile": {
          "description": "Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.\r\n<see href=\"https://repo2docker.readthedocs.io/en/latest/config_files.html#environment-yml-install-a-conda-environment\" />",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "environmentType": {
          "description": "Environment type is either user managed or curated by the Azure ML service\r\n<see href=\"https://docs.microsoft.com/en-us/azure/machine-learning/resource-curated-environments\" />",
          "$ref": "#/definitions/EnvironmentType",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ]
        },
        "image": {
          "description": "Name of the image that will be used for the environment.\r\n<seealso href=\"https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-custom-docker-image#use-a-custom-base-image\" />",
          "type": "string",
          "example": "docker.io/tensorflow/serving:latest",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "inferenceConfig": {
          "description": "Defines configuration specific to inference.",
          "$ref": "#/definitions/InferenceContainerProperties",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "osType": {
          "description": "The OS type of the environment.",
          "default": "Linux",
          "$ref": "#/definitions/OperatingSystemType",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "x-ms-client-name": "EnvironmentVersionProperties",
      "additionalProperties": false
    },
    "EnvironmentVersionResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/EnvironmentVersion"
        }
      },
      "x-ms-client-name": "EnvironmentVersion",
      "additionalProperties": false
    },
    "EnvironmentVersionResourceArmPaginatedResult": {
      "description": "A paginated list of EnvironmentVersion entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of EnvironmentVersion objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type EnvironmentVersion.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/EnvironmentVersionResource"
          }
        }
      },
      "additionalProperties": false
    },
    "FeatureLags": {
      "description": "Flag for generating lags for the numeric features.",
      "enum": [
        "None",
        "Auto"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "FeatureLags",
        "modelAsString": true,
        "values": [
          {
            "value": "None",
            "description": "No feature lags generated."
          },
          {
            "value": "Auto",
            "description": "System auto-generates feature lags."
          }
        ]
      },
      "additionalProperties": false
    },
    "FeaturizationMode": {
      "description": "Featurization mode - determines data featurization mode.",
      "enum": [
        "Auto",
        "Custom",
        "Off"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "FeaturizationMode",
        "modelAsString": true,
        "values": [
          {
            "value": "Auto",
            "description": "Auto mode, system performs featurization without any custom featurization inputs."
          },
          {
            "value": "Custom",
            "description": "Custom featurization."
          },
          {
            "value": "Off",
            "description": "Featurization off. 'Forecasting' task cannot use this value."
          }
        ]
      },
      "additionalProperties": false
    },
    "FeaturizationSettings": {
      "description": "Featurization Configuration.",
      "type": "object",
      "properties": {
        "datasetLanguage": {
          "description": "Dataset language, useful for the text data.",
          "type": "string",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "FlavorData": {
      "type": "object",
      "properties": {
        "data": {
          "description": "Model flavor-specific data.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          },
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "ForecastHorizon": {
      "description": "The desired maximum forecast horizon in units of time-series frequency.",
      "required": [
        "mode"
      ],
      "type": "object",
      "properties": {
        "mode": {
          "description": "[Required] Set forecast horizon value selection mode.",
          "$ref": "#/definitions/ForecastHorizonMode",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "discriminator": "mode"
    },
    "ForecastHorizonMode": {
      "description": "Enum to determine forecast horizon selection mode.",
      "enum": [
        "Auto",
        "Custom"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ForecastHorizonMode",
        "modelAsString": true,
        "values": [
          {
            "value": "Auto",
            "description": "Forecast horizon to be determined automatically."
          },
          {
            "value": "Custom",
            "description": "Use the custom forecast horizon."
          }
        ]
      },
      "additionalProperties": false
    },
    "Forecasting": {
      "description": "Forecasting task in AutoML Table vertical.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TableVertical"
        },
        {
          "$ref": "#/definitions/AutoMLVertical"
        }
      ],
      "properties": {
        "forecastingSettings": {
          "description": "Forecasting task specific inputs.",
          "$ref": "#/definitions/ForecastingSettings",
          "x-nullable": true
        },
        "primaryMetric": {
          "description": "Primary metric for forecasting task.",
          "default": "NormalizedRootMeanSquaredError",
          "$ref": "#/definitions/ForecastingPrimaryMetrics"
        },
        "trainingSettings": {
          "description": "Inputs for training phase for an AutoML Job.",
          "$ref": "#/definitions/ForecastingTrainingSettings",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Forecasting",
      "additionalProperties": false
    },
    "ForecastingModels": {
      "description": "Enum for all forecasting models supported by AutoML.",
      "enum": [
        "AutoArima",
        "Prophet",
        "Naive",
        "SeasonalNaive",
        "Average",
        "SeasonalAverage",
        "ExponentialSmoothing",
        "Arimax",
        "TCNForecaster",
        "ElasticNet",
        "GradientBoosting",
        "DecisionTree",
        "KNN",
        "LassoLars",
        "SGD",
        "RandomForest",
        "ExtremeRandomTrees",
        "LightGBM",
        "XGBoostRegressor"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ForecastingModels",
        "modelAsString": true,
        "values": [
          {
            "value": "AutoArima",
            "description": "Auto-Autoregressive Integrated Moving Average (ARIMA) model uses time-series data and statistical analysis to interpret the data and make future predictions.\nThis model aims to explain data by using time series data on its past values and uses linear regression to make predictions."
          },
          {
            "value": "Prophet",
            "description": "Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.\nIt works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well."
          },
          {
            "value": "Naive",
            "description": "The Naive forecasting model makes predictions by carrying forward the latest target value for each time-series in the training data."
          },
          {
            "value": "SeasonalNaive",
            "description": "The Seasonal Naive forecasting model makes predictions by carrying forward the latest season of target values for each time-series in the training data."
          },
          {
            "value": "Average",
            "description": "The Average forecasting model makes predictions by carrying forward the average of the target values for each time-series in the training data."
          },
          {
            "value": "SeasonalAverage",
            "description": "The Seasonal Average forecasting model makes predictions by carrying forward the average value of the latest season of data for each time-series in the training data."
          },
          {
            "value": "ExponentialSmoothing",
            "description": "Exponential smoothing is a time series forecasting method for univariate data that can be extended to support data with a systematic trend or seasonal component."
          },
          {
            "value": "Arimax",
            "description": "An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.\nThis method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity."
          },
          {
            "value": "TCNForecaster",
            "description": "TCNForecaster: Temporal Convolutional Networks Forecaster. //TODO: Ask forecasting team for brief intro."
          },
          {
            "value": "ElasticNet",
            "description": "Elastic net is a popular type of regularized linear regression that combines two popular penalties, specifically the L1 and L2 penalty functions."
          },
          {
            "value": "GradientBoosting",
            "description": "The technique of transiting week learners into a strong learner is called Boosting. The gradient boosting algorithm process works on this theory of execution."
          },
          {
            "value": "DecisionTree",
            "description": "Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks.\nThe goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features."
          },
          {
            "value": "KNN",
            "description": "K-nearest neighbors (KNN) algorithm uses 'feature similarity' to predict the values of new datapoints\nwhich further means that the new data point will be assigned a value based on how closely it matches the points in the training set."
          },
          {
            "value": "LassoLars",
            "description": "Lasso model fit with Least Angle Regression a.k.a. Lars. It is a Linear Model trained with an L1 prior as regularizer."
          },
          {
            "value": "SGD",
            "description": "SGD: Stochastic gradient descent is an optimization algorithm often used in machine learning applications\nto find the model parameters that correspond to the best fit between predicted and actual outputs.\nIt's an inexact but powerful technique."
          },
          {
            "value": "RandomForest",
            "description": "Random forest is a supervised learning algorithm.\nThe \"forest\" it builds, is an ensemble of decision trees, usually trained with the “bagging” method.\nThe general idea of the bagging method is that a combination of learning models increases the overall result."
          },
          {
            "value": "ExtremeRandomTrees",
            "description": "Extreme Trees is an ensemble machine learning algorithm that combines the predictions from many decision trees. It is related to the widely used random forest algorithm."
          },
          {
            "value": "LightGBM",
            "description": "LightGBM is a gradient boosting framework that uses tree based learning algorithms."
          },
          {
            "value": "XGBoostRegressor",
            "description": "XGBoostRegressor: Extreme Gradient Boosting Regressor is a supervised machine learning model using ensemble of base learners."
          }
        ]
      },
      "additionalProperties": false
    },
    "ForecastingPrimaryMetrics": {
      "description": "Primary metrics for Forecasting task.",
      "enum": [
        "SpearmanCorrelation",
        "NormalizedRootMeanSquaredError",
        "R2Score",
        "NormalizedMeanAbsoluteError"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ForecastingPrimaryMetrics",
        "modelAsString": true,
        "values": [
          {
            "value": "SpearmanCorrelation",
            "description": "The Spearman's rank coefficient of correlation is a non-parametric measure of rank correlation."
          },
          {
            "value": "NormalizedRootMeanSquaredError",
            "description": "The Normalized Root Mean Squared Error (NRMSE) the RMSE facilitates the comparison between models with different scales."
          },
          {
            "value": "R2Score",
            "description": "The R2 score is one of the performance evaluation measures for forecasting-based machine learning models."
          },
          {
            "value": "NormalizedMeanAbsoluteError",
            "description": "The Normalized Mean Absolute Error (NMAE) is a validation metric to compare the Mean Absolute Error (MAE) of (time) series with different scales."
          }
        ]
      },
      "additionalProperties": false
    },
    "ForecastingSettings": {
      "description": "Forecasting specific parameters.",
      "type": "object",
      "properties": {
        "countryOrRegionForHolidays": {
          "description": "Country or region for holidays for forecasting tasks.\r\nThese should be ISO 3166 two-letter country/region codes, for example 'US' or 'GB'.",
          "type": "string",
          "x-nullable": true
        },
        "cvStepSize": {
          "format": "int32",
          "description": "Number of periods between the origin time of one CV fold and the next fold. For\r\nexample, if `CVStepSize` = 3 for daily data, the origin time for each fold will be\r\nthree days apart.",
          "type": "integer",
          "x-nullable": true
        },
        "featureLags": {
          "description": "Flag for generating lags for the numeric features with 'auto' or null.",
          "default": "None",
          "$ref": "#/definitions/FeatureLags"
        },
        "forecastHorizon": {
          "description": "The desired maximum forecast horizon in units of time-series frequency.",
          "default": "{\"Mode\": \"Custom\", \"Value\": 1}",
          "$ref": "#/definitions/ForecastHorizon"
        },
        "frequency": {
          "description": "When forecasting, this parameter represents the period with which the forecast is desired, for example daily, weekly, yearly, etc. The forecast frequency is dataset frequency by default.",
          "type": "string",
          "x-nullable": true
        },
        "seasonality": {
          "description": "Set time series seasonality as an integer multiple of the series frequency.\r\nIf seasonality is set to 'auto', it will be inferred.",
          "default": "{\"Mode\": \"Auto\"}",
          "$ref": "#/definitions/Seasonality"
        },
        "shortSeriesHandlingConfig": {
          "description": "The parameter defining how if AutoML should handle short time series.",
          "default": "Auto",
          "$ref": "#/definitions/ShortSeriesHandlingConfiguration"
        },
        "targetAggregateFunction": {
          "description": "The function to be used to aggregate the time series target column to conform to a user specified frequency.\r\nIf the TargetAggregateFunction is set i.e. not 'None', but the freq parameter is not set, the error is raised. The possible target aggregation functions are: \"sum\", \"max\", \"min\" and \"mean\".",
          "default": "None",
          "$ref": "#/definitions/TargetAggregationFunction"
        },
        "targetLags": {
          "description": "The number of past periods to lag from the target column.",
          "$ref": "#/definitions/TargetLags",
          "x-nullable": true
        },
        "targetRollingWindowSize": {
          "description": "The number of past periods used to create a rolling window average of the target column.",
          "$ref": "#/definitions/TargetRollingWindowSize",
          "x-nullable": true
        },
        "timeColumnName": {
          "description": "The name of the time column. This parameter is required when forecasting to specify the datetime column in the input data used for building the time series and inferring its frequency.",
          "type": "string",
          "x-nullable": true
        },
        "timeSeriesIdColumnNames": {
          "description": "The names of columns used to group a timeseries. It can be used to create multiple series.\r\nIf grain is not defined, the data set is assumed to be one time-series. This parameter is used with task type forecasting.",
          "type": "array",
          "items": {
            "type": "string"
          },
          "x-nullable": true
        },
        "useStl": {
          "description": "Configure STL Decomposition of the time-series target column.",
          "default": "None",
          "$ref": "#/definitions/UseStl"
        }
      },
      "additionalProperties": false
    },
    "ForecastingTrainingSettings": {
      "description": "Forecasting Training related configuration.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TrainingSettings"
        }
      ],
      "properties": {
        "allowedTrainingAlgorithms": {
          "description": "Allowed models for forecasting task.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/ForecastingModels"
          },
          "x-nullable": true
        },
        "blockedTrainingAlgorithms": {
          "description": "Blocked models for forecasting task.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/ForecastingModels"
          },
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "Goal": {
      "description": "Defines supported metric goals for hyperparameter tuning",
      "enum": [
        "Minimize",
        "Maximize"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "Goal",
        "modelAsString": true,
        "values": [
          {
            "value": "Minimize"
          },
          {
            "value": "Maximize"
          }
        ]
      },
      "additionalProperties": false
    },
    "GridSamplingAlgorithm": {
      "description": "Defines a Sampling Algorithm that exhaustively generates every value combination in the space",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/SamplingAlgorithm"
        }
      ],
      "x-ms-discriminator-value": "Grid",
      "additionalProperties": false
    },
    "IdAssetReference": {
      "description": "Reference to an asset via its ARM resource ID.",
      "required": [
        "assetId"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetReferenceBase"
        }
      ],
      "properties": {
        "assetId": {
          "description": "[Required] ARM resource ID of the asset.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string"
        }
      },
      "x-ms-discriminator-value": "Id",
      "additionalProperties": false
    },
    "IdentityConfiguration": {
      "description": "Base definition for identity configuration.",
      "required": [
        "identityType"
      ],
      "type": "object",
      "properties": {
        "identityType": {
          "description": "[Required] Specifies the type of identity framework.",
          "$ref": "#/definitions/IdentityConfigurationType",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "discriminator": "identityType"
    },
    "IdentityConfigurationType": {
      "description": "Enum to determine identity framework.",
      "enum": [
        "Managed",
        "AMLToken",
        "UserIdentity"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "IdentityConfigurationType",
        "modelAsString": true,
        "values": [
          {
            "value": "Managed"
          },
          {
            "value": "AMLToken"
          },
          {
            "value": "UserIdentity"
          }
        ]
      },
      "additionalProperties": false
    },
    "ImageClassification": {
      "description": "Image Classification. Multi-class image classification is used when an image is classified with only a single label\r\nfrom a set of classes - e.g. each image is classified as either an image of a 'cat' or a 'dog' or a 'duck'.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ImageClassificationBase"
        },
        {
          "$ref": "#/definitions/AutoMLVertical"
        }
      ],
      "properties": {
        "primaryMetric": {
          "description": "Primary metric to optimize for this task.",
          "default": "Accuracy",
          "$ref": "#/definitions/ClassificationPrimaryMetrics"
        }
      },
      "x-ms-discriminator-value": "ImageClassification",
      "additionalProperties": false
    },
    "ImageClassificationBase": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ImageVertical"
        }
      ],
      "properties": {
        "modelSettings": {
          "description": "Settings used for training the model.",
          "$ref": "#/definitions/ImageModelSettingsClassification",
          "x-nullable": true
        },
        "searchSpace": {
          "description": "Search space for sampling different combinations of models and their hyperparameters.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/ImageModelDistributionSettingsClassification"
          },
          "x-nullable": true,
          "x-ms-identifiers": []
        }
      },
      "additionalProperties": false
    },
    "ImageClassificationMultilabel": {
      "description": "Image Classification Multilabel. Multi-label image classification is used when an image could have one or more labels\r\nfrom a set of labels - e.g. an image could be labeled with both 'cat' and 'dog'.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ImageClassificationBase"
        },
        {
          "$ref": "#/definitions/AutoMLVertical"
        }
      ],
      "properties": {
        "primaryMetric": {
          "description": "Primary metric to optimize for this task.",
          "default": "IOU",
          "$ref": "#/definitions/ClassificationMultilabelPrimaryMetrics"
        }
      },
      "x-ms-discriminator-value": "ImageClassificationMultilabel",
      "additionalProperties": false
    },
    "ImageInstanceSegmentation": {
      "description": "Image Instance Segmentation. Instance segmentation is used to identify objects in an image at the pixel level,\r\ndrawing a polygon around each object in the image.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ImageObjectDetectionBase"
        },
        {
          "$ref": "#/definitions/AutoMLVertical"
        }
      ],
      "properties": {
        "primaryMetric": {
          "description": "Primary metric to optimize for this task.",
          "default": "MeanAveragePrecision",
          "$ref": "#/definitions/InstanceSegmentationPrimaryMetrics"
        }
      },
      "x-ms-discriminator-value": "ImageInstanceSegmentation",
      "additionalProperties": false
    },
    "ImageLimitSettings": {
      "description": "Limit settings for the AutoML job.",
      "type": "object",
      "properties": {
        "maxConcurrentTrials": {
          "format": "int32",
          "description": "Maximum number of concurrent AutoML iterations.",
          "default": 1,
          "type": "integer"
        },
        "maxTrials": {
          "format": "int32",
          "description": "Maximum number of AutoML iterations.",
          "default": 1,
          "type": "integer"
        },
        "timeout": {
          "format": "duration",
          "description": "AutoML job timeout.",
          "default": "P7D",
          "type": "string"
        }
      },
      "additionalProperties": false
    },
    "ImageModelDistributionSettings": {
      "description": "Distribution expressions to sweep over values of model settings.\r\n<example>\r\nSome examples are:\r\n<code>\r\nModelName = \"choice('seresnext', 'resnest50')\";\r\nLearningRate = \"uniform(0.001, 0.01)\";\r\nLayersToFreeze = \"choice(0, 2)\";\r\n</code></example>\r\nAll distributions can be specified as distribution_name(min, max) or choice(val1, val2, ..., valn)\r\nwhere distribution name can be: uniform, quniform, loguniform, etc\r\nFor more details on how to compose distribution expressions please check the documentation:\r\nhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters\r\nFor more information on the available settings please visit the official documentation:\r\nhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.",
      "type": "object",
      "properties": {
        "amsGradient": {
          "description": "Enable AMSGrad when optimizer is 'adam' or 'adamw'.",
          "type": "string",
          "example": "choice(true, false)",
          "x-nullable": true
        },
        "augmentations": {
          "description": "Settings for using Augmentations.",
          "type": "string",
          "example": "choice('hflip;mosaic;random_crop', 'mosaic')",
          "x-nullable": true
        },
        "beta1": {
          "description": "Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range [0, 1].",
          "type": "string",
          "example": "uniform(0, 1)",
          "x-nullable": true
        },
        "beta2": {
          "description": "Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range [0, 1].",
          "type": "string",
          "example": "uniform(0, 1)",
          "x-nullable": true
        },
        "distributed": {
          "description": "Whether to use distributer training.",
          "type": "string",
          "example": "choice(true, false)",
          "x-nullable": true
        },
        "earlyStopping": {
          "description": "Enable early stopping logic during training.",
          "type": "string",
          "example": "choice(true, false)",
          "x-nullable": true
        },
        "earlyStoppingDelay": {
          "description": "Minimum number of epochs or validation evaluations to wait before primary metric improvement\r\nis tracked for early stopping. Must be a positive integer.",
          "type": "string",
          "example": "choice(1, 5)",
          "x-nullable": true
        },
        "earlyStoppingPatience": {
          "description": "Minimum number of epochs or validation evaluations with no primary metric improvement before\r\nthe run is stopped. Must be a positive integer.",
          "type": "string",
          "example": "choice(1, 5)",
          "x-nullable": true
        },
        "enableOnnxNormalization": {
          "description": "Enable normalization when exporting ONNX model.",
          "type": "string",
          "example": "choice(true, false)",
          "x-nullable": true
        },
        "evaluationFrequency": {
          "description": "Frequency to evaluate validation dataset to get metric scores. Must be a positive integer.",
          "type": "string",
          "example": "choice(1, 5)",
          "x-nullable": true
        },
        "gradientAccumulationStep": {
          "description": "Gradient accumulation means running a configured number of \"GradAccumulationStep\" steps without\r\nupdating the model weights while accumulating the gradients of those steps, and then using\r\nthe accumulated gradients to compute the weight updates. Must be a positive integer.",
          "type": "string",
          "example": "choice(1, 5)",
          "x-nullable": true
        },
        "layersToFreeze": {
          "description": "Number of layers to freeze for the model. Must be a positive integer.\r\nFor instance, passing 2 as value for 'seresnext' means\r\nfreezing layer0 and layer1. For a full list of models supported and details on layer freeze, please\r\nsee: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.",
          "type": "string",
          "example": "choice(1, 2)",
          "x-nullable": true
        },
        "learningRate": {
          "description": "Initial learning rate. Must be a float in the range [0, 1].",
          "type": "string",
          "example": "uniform(0.0005, 0.005)",
          "x-nullable": true
        },
        "learningRateScheduler": {
          "description": "Type of learning rate scheduler. Must be 'warmup_cosine' or 'step'.",
          "type": "string",
          "example": "choice('warmup_cosine', 'step')",
          "x-nullable": true
        },
        "modelName": {
          "description": "Name of the model to use for training.\r\nFor more information on the available models please visit the official documentation:\r\nhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.",
          "type": "string",
          "example": "choice('seresnext', 'resnest50')",
          "x-nullable": true
        },
        "momentum": {
          "description": "Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].",
          "type": "string",
          "example": "quniform(0, 1)",
          "x-nullable": true
        },
        "nesterov": {
          "description": "Enable nesterov when optimizer is 'sgd'.",
          "type": "string",
          "example": "choice(true, false)",
          "x-nullable": true
        },
        "numberOfEpochs": {
          "description": "Number of training epochs. Must be a positive integer.",
          "type": "string",
          "example": "choice(15, 30)",
          "x-nullable": true
        },
        "numberOfWorkers": {
          "description": "Number of data loader workers. Must be a non-negative integer.",
          "type": "string",
          "example": "uniform(8, 16)",
          "x-nullable": true
        },
        "optimizer": {
          "description": "Type of optimizer. Must be either 'sgd', 'adam', or 'adamw'.",
          "type": "string",
          "example": "choice('sgd', 'adam', 'adamw')",
          "x-nullable": true
        },
        "randomSeed": {
          "description": "Random seed to be used when using deterministic training.",
          "type": "string",
          "example": "loguniform(0, 1)",
          "x-nullable": true
        },
        "stepLRGamma": {
          "description": "Value of gamma when learning rate scheduler is 'step'. Must be a float in the range [0, 1].",
          "type": "string",
          "example": "choice(0.1, 0.2, 0.25)",
          "x-nullable": true
        },
        "stepLRStepSize": {
          "description": "Value of step size when learning rate scheduler is 'step'. Must be a positive integer.",
          "type": "string",
          "example": "choice(1, 2, 3)",
          "x-nullable": true
        },
        "trainingBatchSize": {
          "description": "Training batch size. Must be a positive integer.",
          "type": "string",
          "example": "choice(1, 2, 3)",
          "x-nullable": true
        },
        "validationBatchSize": {
          "description": "Validation batch size. Must be a positive integer.",
          "type": "string",
          "example": "choice(1, 2, 3)",
          "x-nullable": true
        },
        "warmupCosineLRCycles": {
          "description": "Value of cosine cycle when learning rate scheduler is 'warmup_cosine'. Must be a float in the range [0, 1].",
          "type": "string",
          "example": "uniform(0, 1)",
          "x-nullable": true
        },
        "warmupCosineLRWarmupEpochs": {
          "description": "Value of warmup epochs when learning rate scheduler is 'warmup_cosine'. Must be a positive integer.",
          "type": "string",
          "example": "choice(1, 2, 3)",
          "x-nullable": true
        },
        "weightDecay": {
          "description": "Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be a float in the range[0, 1].",
          "type": "string",
          "example": "uniform(0, 1)",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "ImageModelDistributionSettingsClassification": {
      "description": "Distribution expressions to sweep over values of model settings.\r\n<example>\r\nSome examples are:\r\n<code>\r\nModelName = \"choice('seresnext', 'resnest50')\";\r\nLearningRate = \"uniform(0.001, 0.01)\";\r\nLayersToFreeze = \"choice(0, 2)\";\r\n</code></example>\r\nFor more details on how to compose distribution expressions please check the documentation:\r\nhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters\r\nFor more information on the available settings please visit the official documentation:\r\nhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ImageModelDistributionSettings"
        }
      ],
      "properties": {
        "trainingCropSize": {
          "description": "Image crop size that is input to the neural network for the training dataset. Must be a positive integer.",
          "type": "string",
          "example": "choice(224, 360)",
          "x-nullable": true
        },
        "validationCropSize": {
          "description": "Image crop size that is input to the neural network for the validation dataset. Must be a positive integer.",
          "type": "string",
          "example": "choice(224, 360)",
          "x-nullable": true
        },
        "validationResizeSize": {
          "description": "Image size to which to resize before cropping for validation dataset. Must be a positive integer.",
          "type": "string",
          "example": "choice(128, 256)",
          "x-nullable": true
        },
        "weightedLoss": {
          "description": "Weighted loss. The accepted values are 0 for no weighted loss.\r\n1 for weighted loss with sqrt.(class_weights). 2 for weighted loss with class_weights. Must be 0 or 1 or 2.",
          "type": "string",
          "example": "choice(0, 1, 2)",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "ImageModelDistributionSettingsObjectDetection": {
      "description": "Distribution expressions to sweep over values of model settings.\r\n<example>\r\nSome examples are:\r\n<code>\r\nModelName = \"choice('seresnext', 'resnest50')\";\r\nLearningRate = \"uniform(0.001, 0.01)\";\r\nLayersToFreeze = \"choice(0, 2)\";\r\n</code></example>\r\nFor more details on how to compose distribution expressions please check the documentation:\r\nhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters\r\nFor more information on the available settings please visit the official documentation:\r\nhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ImageModelDistributionSettings"
        }
      ],
      "properties": {
        "boxDetectionsPerImage": {
          "description": "Maximum number of detections per image, for all classes. Must be a positive integer.\r\nNote: This settings is not supported for the 'yolov5' algorithm.",
          "type": "string",
          "example": "choice(50, 100)",
          "x-nullable": true
        },
        "boxScoreThreshold": {
          "description": "During inference, only return proposals with a classification score greater than\r\nBoxScoreThreshold. Must be a float in the range[0, 1].",
          "type": "string",
          "example": "uniform(0.1, 0.2)",
          "x-nullable": true
        },
        "imageSize": {
          "description": "Image size for train and validation. Must be a positive integer.\r\nNote: The training run may get into CUDA OOM if the size is too big.\r\nNote: This settings is only supported for the 'yolov5' algorithm.",
          "type": "string",
          "example": "choice(224, 640)",
          "x-nullable": true
        },
        "maxSize": {
          "description": "Maximum size of the image to be rescaled before feeding it to the backbone.\r\nMust be a positive integer. Note: training run may get into CUDA OOM if the size is too big.\r\nNote: This settings is not supported for the 'yolov5' algorithm.",
          "type": "string",
          "example": "choice(640, 1333)",
          "x-nullable": true
        },
        "minSize": {
          "description": "Minimum size of the image to be rescaled before feeding it to the backbone.\r\nMust be a positive integer. Note: training run may get into CUDA OOM if the size is too big.\r\nNote: This settings is not supported for the 'yolov5' algorithm.",
          "type": "string",
          "example": "choice(300, 600)",
          "x-nullable": true
        },
        "modelSize": {
          "description": "Model size. Must be 'small', 'medium', 'large', or 'xlarge'.\r\nNote: training run may get into CUDA OOM if the model size is too big.\r\nNote: This settings is only supported for the 'yolov5' algorithm.",
          "type": "string",
          "example": "choice('small', 'medium', 'large', 'xlarge')",
          "x-nullable": true
        },
        "multiScale": {
          "description": "Enable multi-scale image by varying image size by +/- 50%.\r\nNote: training run may get into CUDA OOM if no sufficient GPU memory.\r\nNote: This settings is only supported for the 'yolov5' algorithm.",
          "type": "string",
          "example": "choice(true, false)",
          "x-nullable": true
        },
        "nmsIouThreshold": {
          "description": "IOU threshold used during inference in NMS post processing. Must be float in the range [0, 1].",
          "type": "string",
          "example": "uniform(0.1, 0.2)",
          "x-nullable": true
        },
        "tileGridSize": {
          "description": "The grid size to use for tiling each image. Note: TileGridSize must not be\r\nNone to enable small object detection logic. A string containing two integers in mxn format.\r\nNote: This settings is not supported for the 'yolov5' algorithm.",
          "type": "string",
          "example": "choice('3x2', '2x2')",
          "x-nullable": true
        },
        "tileOverlapRatio": {
          "description": "Overlap ratio between adjacent tiles in each dimension. Must be float in the range [0, 1).\r\nNote: This settings is not supported for the 'yolov5' algorithm.",
          "type": "string",
          "example": "uniform(0.1, 0.2)",
          "x-nullable": true
        },
        "tilePredictionsNmsThreshold": {
          "description": "The IOU threshold to use to perform NMS while merging predictions from tiles and image.\r\nUsed in validation/ inference. Must be float in the range [0, 1].\r\nNote: This settings is not supported for the 'yolov5' algorithm.\r\nNMS: Non-maximum suppression",
          "type": "string",
          "example": "uniform(0.2, 0.3)",
          "x-nullable": true
        },
        "validationIouThreshold": {
          "description": "IOU threshold to use when computing validation metric. Must be float in the range [0, 1].",
          "type": "string",
          "example": "uniform(0.2, 0.3)",
          "x-nullable": true
        },
        "validationMetricType": {
          "description": "Metric computation method to use for validation metrics. Must be 'none', 'coco', 'voc', or 'coco_voc'.",
          "type": "string",
          "example": "choice('none', 'coco', 'voc', 'coco_voc')",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "ImageModelSettings": {
      "description": "Settings used for training the model.\r\nFor more information on the available settings please visit the official documentation:\r\nhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.",
      "type": "object",
      "properties": {
        "advancedSettings": {
          "description": "Settings for advanced scenarios.",
          "type": "string",
          "example": "key1:val1;key2;key3:val3;key4",
          "x-nullable": true
        },
        "amsGradient": {
          "description": "Enable AMSGrad when optimizer is 'adam' or 'adamw'.",
          "type": "boolean",
          "x-nullable": true
        },
        "augmentations": {
          "description": "Settings for using Augmentations.",
          "type": "string",
          "example": "hflip;mosaic;random_crop",
          "x-nullable": true
        },
        "beta1": {
          "format": "float",
          "description": "Value of 'beta1' when optimizer is 'adam' or 'adamw'. Must be a float in the range [0, 1].",
          "type": "number",
          "x-nullable": true
        },
        "beta2": {
          "format": "float",
          "description": "Value of 'beta2' when optimizer is 'adam' or 'adamw'. Must be a float in the range [0, 1].",
          "type": "number",
          "x-nullable": true
        },
        "checkpointFrequency": {
          "format": "int32",
          "description": "Frequency to store model checkpoints. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "checkpointModel": {
          "description": "The pretrained checkpoint model for incremental training.",
          "$ref": "#/definitions/MLFlowModelJobInput",
          "x-nullable": true
        },
        "checkpointRunId": {
          "description": "The id of a previous run that has a pretrained checkpoint for incremental training.",
          "type": "string",
          "x-nullable": true
        },
        "distributed": {
          "description": "Whether to use distributed training.",
          "type": "boolean",
          "x-nullable": true
        },
        "earlyStopping": {
          "description": "Enable early stopping logic during training.",
          "type": "boolean",
          "x-nullable": true
        },
        "earlyStoppingDelay": {
          "format": "int32",
          "description": "Minimum number of epochs or validation evaluations to wait before primary metric improvement\r\nis tracked for early stopping. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "earlyStoppingPatience": {
          "format": "int32",
          "description": "Minimum number of epochs or validation evaluations with no primary metric improvement before\r\nthe run is stopped. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "enableOnnxNormalization": {
          "description": "Enable normalization when exporting ONNX model.",
          "type": "boolean",
          "x-nullable": true
        },
        "evaluationFrequency": {
          "format": "int32",
          "description": "Frequency to evaluate validation dataset to get metric scores. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "gradientAccumulationStep": {
          "format": "int32",
          "description": "Gradient accumulation means running a configured number of \"GradAccumulationStep\" steps without\r\nupdating the model weights while accumulating the gradients of those steps, and then using\r\nthe accumulated gradients to compute the weight updates. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "layersToFreeze": {
          "format": "int32",
          "description": "Number of layers to freeze for the model. Must be a positive integer.\r\nFor instance, passing 2 as value for 'seresnext' means\r\nfreezing layer0 and layer1. For a full list of models supported and details on layer freeze, please\r\nsee: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.",
          "type": "integer",
          "x-nullable": true
        },
        "learningRate": {
          "format": "float",
          "description": "Initial learning rate. Must be a float in the range [0, 1].",
          "type": "number",
          "x-nullable": true
        },
        "learningRateScheduler": {
          "description": "Type of learning rate scheduler. Must be 'warmup_cosine' or 'step'.",
          "default": "None",
          "$ref": "#/definitions/LearningRateScheduler"
        },
        "modelName": {
          "description": "Name of the model to use for training.\r\nFor more information on the available models please visit the official documentation:\r\nhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.",
          "type": "string",
          "x-nullable": true
        },
        "momentum": {
          "format": "float",
          "description": "Value of momentum when optimizer is 'sgd'. Must be a float in the range [0, 1].",
          "type": "number",
          "x-nullable": true
        },
        "nesterov": {
          "description": "Enable nesterov when optimizer is 'sgd'.",
          "type": "boolean",
          "x-nullable": true
        },
        "numberOfEpochs": {
          "format": "int32",
          "description": "Number of training epochs. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "numberOfWorkers": {
          "format": "int32",
          "description": "Number of data loader workers. Must be a non-negative integer.",
          "type": "integer",
          "x-nullable": true
        },
        "optimizer": {
          "description": "Type of optimizer.",
          "default": "None",
          "$ref": "#/definitions/StochasticOptimizer"
        },
        "randomSeed": {
          "format": "int32",
          "description": "Random seed to be used when using deterministic training.",
          "type": "integer",
          "x-nullable": true
        },
        "stepLRGamma": {
          "format": "float",
          "description": "Value of gamma when learning rate scheduler is 'step'. Must be a float in the range [0, 1].",
          "type": "number",
          "x-nullable": true
        },
        "stepLRStepSize": {
          "format": "int32",
          "description": "Value of step size when learning rate scheduler is 'step'. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "trainingBatchSize": {
          "format": "int32",
          "description": "Training batch size. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "validationBatchSize": {
          "format": "int32",
          "description": "Validation batch size. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "warmupCosineLRCycles": {
          "format": "float",
          "description": "Value of cosine cycle when learning rate scheduler is 'warmup_cosine'. Must be a float in the range [0, 1].",
          "type": "number",
          "x-nullable": true
        },
        "warmupCosineLRWarmupEpochs": {
          "format": "int32",
          "description": "Value of warmup epochs when learning rate scheduler is 'warmup_cosine'. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "weightDecay": {
          "format": "float",
          "description": "Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'. Must be a float in the range[0, 1].",
          "type": "number",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "ImageModelSettingsClassification": {
      "description": "Settings used for training the model.\r\nFor more information on the available settings please visit the official documentation:\r\nhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ImageModelSettings"
        }
      ],
      "properties": {
        "trainingCropSize": {
          "format": "int32",
          "description": "Image crop size that is input to the neural network for the training dataset. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "validationCropSize": {
          "format": "int32",
          "description": "Image crop size that is input to the neural network for the validation dataset. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "validationResizeSize": {
          "format": "int32",
          "description": "Image size to which to resize before cropping for validation dataset. Must be a positive integer.",
          "type": "integer",
          "x-nullable": true
        },
        "weightedLoss": {
          "format": "int32",
          "description": "Weighted loss. The accepted values are 0 for no weighted loss.\r\n1 for weighted loss with sqrt.(class_weights). 2 for weighted loss with class_weights. Must be 0 or 1 or 2.",
          "type": "integer",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "ImageModelSettingsObjectDetection": {
      "description": "Settings used for training the model.\r\nFor more information on the available settings please visit the official documentation:\r\nhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ImageModelSettings"
        }
      ],
      "properties": {
        "boxDetectionsPerImage": {
          "format": "int32",
          "description": "Maximum number of detections per image, for all classes. Must be a positive integer.\r\nNote: This settings is not supported for the 'yolov5' algorithm.",
          "type": "integer",
          "x-nullable": true
        },
        "boxScoreThreshold": {
          "format": "float",
          "description": "During inference, only return proposals with a classification score greater than\r\nBoxScoreThreshold. Must be a float in the range[0, 1].",
          "type": "number",
          "x-nullable": true
        },
        "imageSize": {
          "format": "int32",
          "description": "Image size for train and validation. Must be a positive integer.\r\nNote: The training run may get into CUDA OOM if the size is too big.\r\nNote: This settings is only supported for the 'yolov5' algorithm.",
          "type": "integer",
          "x-nullable": true
        },
        "maxSize": {
          "format": "int32",
          "description": "Maximum size of the image to be rescaled before feeding it to the backbone.\r\nMust be a positive integer. Note: training run may get into CUDA OOM if the size is too big.\r\nNote: This settings is not supported for the 'yolov5' algorithm.",
          "type": "integer",
          "x-nullable": true
        },
        "minSize": {
          "format": "int32",
          "description": "Minimum size of the image to be rescaled before feeding it to the backbone.\r\nMust be a positive integer. Note: training run may get into CUDA OOM if the size is too big.\r\nNote: This settings is not supported for the 'yolov5' algorithm.",
          "type": "integer",
          "x-nullable": true
        },
        "modelSize": {
          "description": "Model size. Must be 'small', 'medium', 'large', or 'xlarge'.\r\nNote: training run may get into CUDA OOM if the model size is too big.\r\nNote: This settings is only supported for the 'yolov5' algorithm.",
          "default": "None",
          "$ref": "#/definitions/ModelSize"
        },
        "multiScale": {
          "description": "Enable multi-scale image by varying image size by +/- 50%.\r\nNote: training run may get into CUDA OOM if no sufficient GPU memory.\r\nNote: This settings is only supported for the 'yolov5' algorithm.",
          "type": "boolean",
          "x-nullable": true
        },
        "nmsIouThreshold": {
          "format": "float",
          "description": "IOU threshold used during inference in NMS post processing. Must be a float in the range [0, 1].",
          "type": "number",
          "x-nullable": true
        },
        "tileGridSize": {
          "description": "The grid size to use for tiling each image. Note: TileGridSize must not be\r\nNone to enable small object detection logic. A string containing two integers in mxn format.\r\nNote: This settings is not supported for the 'yolov5' algorithm.",
          "type": "string",
          "example": "3x2",
          "x-nullable": true
        },
        "tileOverlapRatio": {
          "format": "float",
          "description": "Overlap ratio between adjacent tiles in each dimension. Must be float in the range [0, 1).\r\nNote: This settings is not supported for the 'yolov5' algorithm.",
          "type": "number",
          "x-nullable": true
        },
        "tilePredictionsNmsThreshold": {
          "format": "float",
          "description": "The IOU threshold to use to perform NMS while merging predictions from tiles and image.\r\nUsed in validation/ inference. Must be float in the range [0, 1].\r\nNote: This settings is not supported for the 'yolov5' algorithm.",
          "type": "number",
          "x-nullable": true
        },
        "validationIouThreshold": {
          "format": "float",
          "description": "IOU threshold to use when computing validation metric. Must be float in the range [0, 1].",
          "type": "number",
          "x-nullable": true
        },
        "validationMetricType": {
          "description": "Metric computation method to use for validation metrics.",
          "default": "None",
          "$ref": "#/definitions/ValidationMetricType"
        }
      },
      "additionalProperties": false
    },
    "ImageObjectDetection": {
      "description": "Image Object Detection. Object detection is used to identify objects in an image and locate each object with a\r\nbounding box e.g. locate all dogs and cats in an image and draw a bounding box around each.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ImageObjectDetectionBase"
        },
        {
          "$ref": "#/definitions/AutoMLVertical"
        }
      ],
      "properties": {
        "primaryMetric": {
          "description": "Primary metric to optimize for this task.",
          "default": "MeanAveragePrecision",
          "$ref": "#/definitions/ObjectDetectionPrimaryMetrics"
        }
      },
      "x-ms-discriminator-value": "ImageObjectDetection",
      "additionalProperties": false
    },
    "ImageObjectDetectionBase": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ImageVertical"
        }
      ],
      "properties": {
        "modelSettings": {
          "description": "Settings used for training the model.",
          "$ref": "#/definitions/ImageModelSettingsObjectDetection",
          "x-nullable": true
        },
        "searchSpace": {
          "description": "Search space for sampling different combinations of models and their hyperparameters.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/ImageModelDistributionSettingsObjectDetection"
          },
          "x-nullable": true,
          "x-ms-identifiers": []
        }
      },
      "additionalProperties": false
    },
    "ImageSweepSettings": {
      "description": "Model sweeping and hyperparameter sweeping related settings.",
      "required": [
        "samplingAlgorithm"
      ],
      "type": "object",
      "properties": {
        "earlyTermination": {
          "description": "Type of early termination policy.",
          "$ref": "#/definitions/EarlyTerminationPolicy",
          "x-nullable": true
        },
        "samplingAlgorithm": {
          "description": "[Required] Type of the hyperparameter sampling algorithms.",
          "$ref": "#/definitions/SamplingAlgorithmType"
        }
      },
      "additionalProperties": false
    },
    "ImageVertical": {
      "description": "Abstract class for AutoML tasks that train image (computer vision) models -\r\nsuch as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.",
      "required": [
        "limitSettings"
      ],
      "type": "object",
      "properties": {
        "limitSettings": {
          "description": "[Required] Limit settings for the AutoML job.",
          "$ref": "#/definitions/ImageLimitSettings"
        },
        "sweepSettings": {
          "description": "Model sweeping and hyperparameter sweeping related settings.",
          "$ref": "#/definitions/ImageSweepSettings",
          "x-nullable": true
        },
        "validationData": {
          "description": "Validation data inputs.",
          "$ref": "#/definitions/MLTableJobInput",
          "x-nullable": true
        },
        "validationDataSize": {
          "format": "double",
          "description": "The fraction of training dataset that needs to be set aside for validation purpose.\r\nValues between (0.0 , 1.0)\r\nApplied when validation dataset is not provided.",
          "type": "number",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "InferenceContainerProperties": {
      "type": "object",
      "properties": {
        "livenessRoute": {
          "description": "The route to check the liveness of the inference server container.",
          "$ref": "#/definitions/Route"
        },
        "readinessRoute": {
          "description": "The route to check the readiness of the inference server container.",
          "$ref": "#/definitions/Route"
        },
        "scoringRoute": {
          "description": "The port to send the scoring requests to, within the inference server container.",
          "$ref": "#/definitions/Route"
        }
      },
      "additionalProperties": false
    },
    "InputDeliveryMode": {
      "description": "Enum to determine the input data delivery mode.",
      "enum": [
        "ReadOnlyMount",
        "ReadWriteMount",
        "Download",
        "Direct",
        "EvalMount",
        "EvalDownload"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "InputDeliveryMode",
        "modelAsString": true,
        "values": [
          {
            "value": "ReadOnlyMount"
          },
          {
            "value": "ReadWriteMount"
          },
          {
            "value": "Download"
          },
          {
            "value": "Direct"
          },
          {
            "value": "EvalMount"
          },
          {
            "value": "EvalDownload"
          }
        ]
      },
      "additionalProperties": false
    },
    "InstanceSegmentationPrimaryMetrics": {
      "description": "Primary metrics for InstanceSegmentation tasks.",
      "enum": [
        "MeanAveragePrecision"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "InstanceSegmentationPrimaryMetrics",
        "modelAsString": true,
        "values": [
          {
            "value": "MeanAveragePrecision",
            "description": "Mean Average Precision (MAP) is the average of AP (Average Precision).\nAP is calculated for each class and averaged to get the MAP."
          }
        ]
      },
      "additionalProperties": false
    },
    "JobBase": {
      "description": "Base definition for a job.",
      "required": [
        "jobType"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ResourceBase"
        }
      ],
      "properties": {
        "componentId": {
          "description": "ARM resource ID of the component resource.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "computeId": {
          "description": "ARM resource ID of the compute resource.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "displayName": {
          "description": "Display name of job.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "experimentName": {
          "description": "The name of the experiment the job belongs to. If not set, the job is placed in the \"Default\" experiment.",
          "default": "Default",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "identity": {
          "description": "Identity configuration. If set, this should be one of AmlToken, ManagedIdentity, UserIdentity or null.\r\nDefaults to AmlToken if null.",
          "$ref": "#/definitions/IdentityConfiguration",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "isArchived": {
          "description": "Is the asset archived?",
          "default": false,
          "type": "boolean",
          "x-ms-mutability": [
            "create",
            "read",
            "update"
          ]
        },
        "jobType": {
          "description": "[Required] Specifies the type of job.",
          "$ref": "#/definitions/JobType",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "services": {
          "description": "List of JobEndpoints.\r\nFor local jobs, a job endpoint will have an endpoint value of FileStreamObject.",
          "type": "object",
          "additionalProperties": {
            "$ref": "#/definitions/JobService",
            "x-nullable": true
          },
          "x-nullable": true
        },
        "status": {
          "description": "Status of the job.",
          "$ref": "#/definitions/JobStatus",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ]
        }
      },
      "discriminator": "jobType",
      "x-ms-client-name": "JobBaseProperties"
    },
    "JobBaseResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/JobBase"
        }
      },
      "x-ms-client-name": "JobBase",
      "additionalProperties": false
    },
    "JobBaseResourceArmPaginatedResult": {
      "description": "A paginated list of JobBase entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of JobBase objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type JobBase.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/JobBaseResource"
          }
        }
      },
      "additionalProperties": false
    },
    "JobInput": {
      "description": "Command job definition.",
      "required": [
        "jobInputType"
      ],
      "type": "object",
      "properties": {
        "description": {
          "description": "Description for the input.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "jobInputType": {
          "description": "[Required] Specifies the type of job.",
          "$ref": "#/definitions/JobInputType",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "discriminator": "jobInputType"
    },
    "JobInputType": {
      "description": "Enum to determine the Job Input Type.",
      "enum": [
        "literal",
        "uri_file",
        "uri_folder",
        "mltable",
        "custom_model",
        "mlflow_model",
        "triton_model"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "JobInputType",
        "modelAsString": true,
        "values": [
          {
            "value": "literal"
          },
          {
            "value": "uri_file"
          },
          {
            "value": "uri_folder"
          },
          {
            "value": "mltable"
          },
          {
            "value": "custom_model"
          },
          {
            "value": "mlflow_model"
          },
          {
            "value": "triton_model"
          }
        ]
      },
      "additionalProperties": false
    },
    "JobLimits": {
      "required": [
        "jobLimitsType"
      ],
      "type": "object",
      "properties": {
        "jobLimitsType": {
          "description": "[Required] JobLimit type.",
          "$ref": "#/definitions/JobLimitsType"
        },
        "timeout": {
          "format": "duration",
          "description": "The max run duration in ISO 8601 format, after which the job will be cancelled. Only supports duration with precision as low as Seconds.",
          "type": "string",
          "x-nullable": true
        }
      },
      "discriminator": "jobLimitsType"
    },
    "JobLimitsType": {
      "enum": [
        "Command",
        "Sweep"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "JobLimitsType",
        "modelAsString": true,
        "values": [
          {
            "value": "Command"
          },
          {
            "value": "Sweep"
          }
        ]
      },
      "additionalProperties": false
    },
    "JobOutput": {
      "description": "Job output definition container information on where to find job output/logs.",
      "required": [
        "jobOutputType"
      ],
      "type": "object",
      "properties": {
        "description": {
          "description": "Description for the output.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "jobOutputType": {
          "description": "[Required] Specifies the type of job.",
          "$ref": "#/definitions/JobOutputType",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "discriminator": "jobOutputType"
    },
    "JobOutputType": {
      "description": "Enum to determine the Job Output Type.",
      "enum": [
        "uri_file",
        "uri_folder",
        "mltable",
        "custom_model",
        "mlflow_model",
        "triton_model"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "JobOutputType",
        "modelAsString": true,
        "values": [
          {
            "value": "uri_file"
          },
          {
            "value": "uri_folder"
          },
          {
            "value": "mltable"
          },
          {
            "value": "custom_model"
          },
          {
            "value": "mlflow_model"
          },
          {
            "value": "triton_model"
          }
        ]
      },
      "additionalProperties": false
    },
    "JobResourceConfiguration": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ResourceConfiguration"
        }
      ],
      "properties": {
        "dockerArgs": {
          "description": "Extra arguments to pass to the Docker run command. This would override any parameters that have already been set by the system, or in this section. This parameter is only supported for Azure ML compute types.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "shmSize": {
          "description": "Size of the docker container's shared memory block. This should be in the format of (number)(unit) where number as to be greater than 0 and the unit can be one of b(bytes), k(kilobytes), m(megabytes), or g(gigabytes).",
          "default": "2g",
          "pattern": "\\d+[bBkKmMgG]",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "additionalProperties": false
    },
    "JobScheduleAction": {
      "required": [
        "actionType",
        "jobDefinition"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ScheduleActionBase"
        }
      ],
      "properties": {
        "jobDefinition": {
          "description": "[Required] Defines Schedule action definition details.",
          "$ref": "#/definitions/JobBase",
          "x-ms-mutability": [
            "create",
            "read",
            "update"
          ]
        }
      },
      "x-ms-discriminator-value": "CreateJob",
      "additionalProperties": false
    },
    "JobService": {
      "description": "Job endpoint definition",
      "type": "object",
      "properties": {
        "endpoint": {
          "description": "Url for endpoint.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "errorMessage": {
          "description": "Any error in the service.",
          "type": "string",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ],
          "x-nullable": true
        },
        "jobServiceType": {
          "description": "Endpoint type.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "port": {
          "format": "int32",
          "description": "Port for endpoint.",
          "type": "integer",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "properties": {
          "description": "Additional properties to set on the endpoint.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          },
          "x-nullable": true
        },
        "status": {
          "description": "Status of endpoint.",
          "type": "string",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ],
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "JobStatus": {
      "description": "The status of a job.",
      "enum": [
        "NotStarted",
        "Starting",
        "Provisioning",
        "Preparing",
        "Queued",
        "Running",
        "Finalizing",
        "CancelRequested",
        "Completed",
        "Failed",
        "Canceled",
        "NotResponding",
        "Paused",
        "Unknown"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "JobStatus",
        "modelAsString": true,
        "values": [
          {
            "value": "NotStarted",
            "description": "Run hasn't started yet."
          },
          {
            "value": "Starting",
            "description": "Run has started. The user has a run ID."
          },
          {
            "value": "Provisioning",
            "description": "(Not used currently) It will be used if ES is creating the compute target."
          },
          {
            "value": "Preparing",
            "description": "The run environment is being prepared."
          },
          {
            "value": "Queued",
            "description": "The job is queued in the compute target. For example, in BatchAI the job is in queued state, while waiting for all required nodes to be ready."
          },
          {
            "value": "Running",
            "description": "The job started to run in the compute target."
          },
          {
            "value": "Finalizing",
            "description": "Job is completed in the target. It is in output collection state now."
          },
          {
            "value": "CancelRequested",
            "description": "Cancellation has been requested for the job."
          },
          {
            "value": "Completed",
            "description": "Job completed successfully. This reflects that both the job itself and output collection states completed successfully"
          },
          {
            "value": "Failed",
            "description": "Job failed."
          },
          {
            "value": "Canceled",
            "description": "Following cancellation request, the job is now successfully canceled."
          },
          {
            "value": "NotResponding",
            "description": "When heartbeat is enabled, if the run isn't updating any information to RunHistory then the run goes to NotResponding state.\nNotResponding is the only state that is exempt from strict transition orders. A run can go from NotResponding to any of the previous states."
          },
          {
            "value": "Paused",
            "description": "The job is paused by users. Some adjustment to labeling jobs can be made only in paused state."
          },
          {
            "value": "Unknown",
            "description": "Default job status if not mapped to all other statuses"
          }
        ]
      },
      "additionalProperties": false
    },
    "JobType": {
      "description": "Enum to determine the type of job.",
      "enum": [
        "AutoML",
        "Command",
        "Sweep",
        "Pipeline"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "JobType",
        "modelAsString": true,
        "values": [
          {
            "value": "AutoML"
          },
          {
            "value": "Command"
          },
          {
            "value": "Sweep"
          },
          {
            "value": "Pipeline"
          }
        ]
      },
      "additionalProperties": false
    },
    "KeyType": {
      "enum": [
        "Primary",
        "Secondary"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "KeyType",
        "modelAsString": true,
        "values": [
          {
            "value": "Primary"
          },
          {
            "value": "Secondary"
          }
        ]
      },
      "additionalProperties": false
    },
    "KubernetesOnlineDeployment": {
      "description": "Properties specific to a KubernetesOnlineDeployment.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/OnlineDeployment"
        }
      ],
      "properties": {
        "containerResourceRequirements": {
          "description": "The resource requirements for the container (cpu and memory).",
          "$ref": "#/definitions/ContainerResourceRequirements",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Kubernetes",
      "additionalProperties": false
    },
    "LearningRateScheduler": {
      "description": "Learning rate scheduler enum.",
      "enum": [
        "None",
        "WarmupCosine",
        "Step"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "LearningRateScheduler",
        "modelAsString": true,
        "values": [
          {
            "value": "None",
            "description": "No learning rate scheduler selected."
          },
          {
            "value": "WarmupCosine",
            "description": "Cosine Annealing With Warmup."
          },
          {
            "value": "Step",
            "description": "Step learning rate scheduler."
          }
        ]
      },
      "additionalProperties": false
    },
    "ListViewType": {
      "enum": [
        "ActiveOnly",
        "ArchivedOnly",
        "All"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ListViewType",
        "modelAsString": true,
        "values": [
          {
            "value": "ActiveOnly"
          },
          {
            "value": "ArchivedOnly"
          },
          {
            "value": "All"
          }
        ]
      },
      "additionalProperties": false
    },
    "LiteralJobInput": {
      "description": "Literal input type.",
      "required": [
        "value"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/JobInput"
        }
      ],
      "properties": {
        "value": {
          "description": "[Required] Literal value for the input.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string"
        }
      },
      "x-ms-discriminator-value": "literal",
      "additionalProperties": false
    },
    "LogVerbosity": {
      "description": "Enum for setting log verbosity.",
      "enum": [
        "NotSet",
        "Debug",
        "Info",
        "Warning",
        "Error",
        "Critical"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "LogVerbosity",
        "modelAsString": true,
        "values": [
          {
            "value": "NotSet",
            "description": "No logs emitted."
          },
          {
            "value": "Debug",
            "description": "Debug and above log statements logged."
          },
          {
            "value": "Info",
            "description": "Info and above log statements logged."
          },
          {
            "value": "Warning",
            "description": "Warning and above log statements logged."
          },
          {
            "value": "Error",
            "description": "Error and above log statements logged."
          },
          {
            "value": "Critical",
            "description": "Only critical statements logged."
          }
        ]
      },
      "additionalProperties": false
    },
    "ManagedIdentity": {
      "description": "Managed identity configuration.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/IdentityConfiguration"
        }
      ],
      "properties": {
        "clientId": {
          "format": "uuid",
          "description": "Specifies a user-assigned identity by client ID. For system-assigned, do not set this field.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "objectId": {
          "format": "uuid",
          "description": "Specifies a user-assigned identity by object ID. For system-assigned, do not set this field.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "resourceId": {
          "description": "Specifies a user-assigned identity by ARM resource ID. For system-assigned, do not set this field.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Managed",
      "additionalProperties": false
    },
    "ManagedOnlineDeployment": {
      "description": "Properties specific to a ManagedOnlineDeployment.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/OnlineDeployment"
        }
      ],
      "x-ms-discriminator-value": "Managed",
      "additionalProperties": false
    },
    "MedianStoppingPolicy": {
      "description": "Defines an early termination policy based on running averages of the primary metric of all runs",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/EarlyTerminationPolicy"
        }
      ],
      "x-ms-discriminator-value": "MedianStopping",
      "additionalProperties": false
    },
    "MLFlowModelJobInput": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetJobInput"
        },
        {
          "$ref": "#/definitions/JobInput"
        }
      ],
      "x-ms-discriminator-value": "mlflow_model",
      "additionalProperties": false
    },
    "MLFlowModelJobOutput": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetJobOutput"
        },
        {
          "$ref": "#/definitions/JobOutput"
        }
      ],
      "x-ms-discriminator-value": "mlflow_model",
      "additionalProperties": false
    },
    "MLTableData": {
      "description": "MLTable data definition",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DataVersionBase"
        }
      ],
      "properties": {
        "referencedUris": {
          "description": "Uris referenced in the MLTable definition (required for lineage)",
          "type": "array",
          "items": {
            "type": "string"
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "mltable",
      "additionalProperties": false
    },
    "MLTableJobInput": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetJobInput"
        },
        {
          "$ref": "#/definitions/JobInput"
        }
      ],
      "x-ms-discriminator-value": "mltable",
      "additionalProperties": false
    },
    "MLTableJobOutput": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetJobOutput"
        },
        {
          "$ref": "#/definitions/JobOutput"
        }
      ],
      "x-ms-discriminator-value": "mltable",
      "additionalProperties": false
    },
    "ModelContainer": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetContainer"
        }
      ],
      "x-ms-client-name": "ModelContainerProperties",
      "additionalProperties": false
    },
    "ModelContainerResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/ModelContainer"
        }
      },
      "x-ms-client-name": "ModelContainer",
      "additionalProperties": false
    },
    "ModelContainerResourceArmPaginatedResult": {
      "description": "A paginated list of ModelContainer entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of ModelContainer objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type ModelContainer.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/ModelContainerResource"
          }
        }
      },
      "additionalProperties": false
    },
    "ModelSize": {
      "description": "Image model size.",
      "enum": [
        "None",
        "Small",
        "Medium",
        "Large",
        "ExtraLarge"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ModelSize",
        "modelAsString": true,
        "values": [
          {
            "value": "None",
            "description": "No value selected."
          },
          {
            "value": "Small",
            "description": "Small size."
          },
          {
            "value": "Medium",
            "description": "Medium size."
          },
          {
            "value": "Large",
            "description": "Large size."
          },
          {
            "value": "ExtraLarge",
            "description": "Extra large size."
          }
        ]
      },
      "additionalProperties": false
    },
    "ModelVersion": {
      "description": "Model asset version details.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetBase"
        }
      ],
      "properties": {
        "flavors": {
          "description": "Mapping of model flavors to their properties.",
          "type": "object",
          "additionalProperties": {
            "$ref": "#/definitions/FlavorData",
            "x-nullable": true
          },
          "x-nullable": true
        },
        "jobName": {
          "description": "Name of the training job which produced this model",
          "type": "string",
          "x-nullable": true
        },
        "modelType": {
          "description": "The storage format for this entity. Used for NCD.",
          "type": "string",
          "x-nullable": true
        },
        "modelUri": {
          "description": "The URI path to the model contents.",
          "type": "string",
          "x-nullable": true
        }
      },
      "x-ms-client-name": "ModelVersionProperties",
      "additionalProperties": false
    },
    "ModelVersionResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/ModelVersion"
        }
      },
      "x-ms-client-name": "ModelVersion",
      "additionalProperties": false
    },
    "ModelVersionResourceArmPaginatedResult": {
      "description": "A paginated list of ModelVersion entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of ModelVersion objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type ModelVersion.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/ModelVersionResource"
          }
        }
      },
      "additionalProperties": false
    },
    "Mpi": {
      "description": "MPI distribution configuration.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DistributionConfiguration"
        }
      ],
      "properties": {
        "processCountPerInstance": {
          "format": "int32",
          "description": "Number of processes per MPI node.",
          "type": "integer",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Mpi",
      "additionalProperties": false
    },
    "NCrossValidations": {
      "description": "N-Cross validations value.",
      "required": [
        "mode"
      ],
      "type": "object",
      "properties": {
        "mode": {
          "description": "[Required] Mode for determining N-Cross validations.",
          "$ref": "#/definitions/NCrossValidationsMode",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "discriminator": "mode"
    },
    "NCrossValidationsMode": {
      "description": "Determines how N-Cross validations value is determined.",
      "enum": [
        "Auto",
        "Custom"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "NCrossValidationsMode",
        "modelAsString": true,
        "values": [
          {
            "value": "Auto",
            "description": "Determine N-Cross validations value automatically. Supported only for 'Forecasting' AutoML task."
          },
          {
            "value": "Custom",
            "description": "Use custom N-Cross validations value."
          }
        ]
      },
      "additionalProperties": false
    },
    "NlpVertical": {
      "description": "Abstract class for NLP related AutoML tasks.\r\nNLP - Natural Language Processing.",
      "type": "object",
      "properties": {
        "featurizationSettings": {
          "description": "Featurization inputs needed for AutoML job.",
          "$ref": "#/definitions/NlpVerticalFeaturizationSettings",
          "x-nullable": true
        },
        "limitSettings": {
          "description": "Execution constraints for AutoMLJob.",
          "$ref": "#/definitions/NlpVerticalLimitSettings",
          "x-nullable": true
        },
        "validationData": {
          "description": "Validation data inputs.",
          "$ref": "#/definitions/MLTableJobInput",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "NlpVerticalFeaturizationSettings": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/FeaturizationSettings"
        }
      ],
      "additionalProperties": false
    },
    "NlpVerticalLimitSettings": {
      "description": "Job execution constraints.",
      "type": "object",
      "properties": {
        "maxConcurrentTrials": {
          "format": "int32",
          "description": "Maximum Concurrent AutoML iterations.",
          "default": 1,
          "type": "integer"
        },
        "maxTrials": {
          "format": "int32",
          "description": "Number of AutoML iterations.",
          "default": 1,
          "type": "integer"
        },
        "timeout": {
          "format": "duration",
          "description": "AutoML job timeout.",
          "type": "string"
        }
      },
      "additionalProperties": false
    },
    "NoneDatastoreCredentials": {
      "description": "Empty/none datastore credentials.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DatastoreCredentials"
        }
      ],
      "x-ms-discriminator-value": "None",
      "additionalProperties": false
    },
    "ObjectDetectionPrimaryMetrics": {
      "description": "Primary metrics for Image ObjectDetection task.",
      "enum": [
        "MeanAveragePrecision"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ObjectDetectionPrimaryMetrics",
        "modelAsString": true,
        "values": [
          {
            "value": "MeanAveragePrecision",
            "description": "Mean Average Precision (MAP) is the average of AP (Average Precision).\nAP is calculated for each class and averaged to get the MAP."
          }
        ]
      },
      "additionalProperties": false
    },
    "Objective": {
      "description": "Optimization objective.",
      "required": [
        "goal",
        "primaryMetric"
      ],
      "type": "object",
      "properties": {
        "goal": {
          "description": "[Required] Defines supported metric goals for hyperparameter tuning",
          "$ref": "#/definitions/Goal"
        },
        "primaryMetric": {
          "description": "[Required] Name of the metric to optimize.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string"
        }
      },
      "additionalProperties": false
    },
    "OnlineDeployment": {
      "required": [
        "endpointComputeType"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/EndpointDeploymentPropertiesBase"
        }
      ],
      "properties": {
        "appInsightsEnabled": {
          "description": "If true, enables Application Insights logging.",
          "default": false,
          "type": "boolean"
        },
        "egressPublicNetworkAccess": {
          "description": "If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.",
          "default": "Enabled",
          "$ref": "#/definitions/EgressPublicNetworkAccessType"
        },
        "endpointComputeType": {
          "description": "[Required] The compute type of the endpoint.",
          "$ref": "#/definitions/EndpointComputeType"
        },
        "instanceType": {
          "description": "Compute instance type.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "livenessProbe": {
          "description": "Liveness probe monitors the health of the container regularly.",
          "$ref": "#/definitions/ProbeSettings",
          "x-nullable": true
        },
        "model": {
          "description": "The URI path to the model.",
          "type": "string",
          "x-nullable": true
        },
        "modelMountPath": {
          "description": "The path to mount the model in custom container.",
          "type": "string",
          "x-nullable": true
        },
        "provisioningState": {
          "description": "Provisioning state for the endpoint deployment.",
          "$ref": "#/definitions/DeploymentProvisioningState",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ]
        },
        "readinessProbe": {
          "description": "Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.",
          "$ref": "#/definitions/ProbeSettings",
          "x-nullable": true
        },
        "requestSettings": {
          "description": "Request settings for the deployment.",
          "$ref": "#/definitions/OnlineRequestSettings",
          "x-nullable": true
        },
        "scaleSettings": {
          "description": "Scale settings for the deployment.\r\nIf it is null or not provided,\r\nit defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment\r\nand to DefaultScaleSettings for ManagedOnlineDeployment.",
          "$ref": "#/definitions/OnlineScaleSettings",
          "x-nullable": true
        }
      },
      "discriminator": "endpointComputeType",
      "x-ms-client-name": "OnlineDeploymentProperties"
    },
    "OnlineDeploymentTrackedResource": {
      "required": [
        "location",
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/TrackedResource"
        }
      ],
      "properties": {
        "identity": {
          "description": "Managed service identity (system assigned and/or user assigned identities)",
          "$ref": "../../../../../common-types/resource-management/v3/managedidentity.json#/definitions/ManagedServiceIdentity"
        },
        "kind": {
          "description": "Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.",
          "type": "string"
        },
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/OnlineDeployment"
        },
        "sku": {
          "description": "Sku details required for ARM contract for Autoscaling.",
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Sku"
        }
      },
      "x-ms-client-name": "OnlineDeployment",
      "additionalProperties": false
    },
    "OnlineDeploymentTrackedResourceArmPaginatedResult": {
      "description": "A paginated list of OnlineDeployment entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of OnlineDeployment objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type OnlineDeployment.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/OnlineDeploymentTrackedResource"
          }
        }
      },
      "additionalProperties": false
    },
    "OnlineEndpoint": {
      "description": "Online endpoint configuration",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/EndpointPropertiesBase"
        }
      ],
      "properties": {
        "compute": {
          "description": "ARM resource ID of the compute if it exists.\r\noptional",
          "type": "string",
          "x-nullable": true
        },
        "provisioningState": {
          "description": "Provisioning state for the endpoint.",
          "$ref": "#/definitions/EndpointProvisioningState",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ]
        },
        "publicNetworkAccess": {
          "description": "Set to \"Enabled\" for endpoints that should allow public access when Private Link is enabled.",
          "default": "Enabled",
          "$ref": "#/definitions/PublicNetworkAccessType"
        },
        "traffic": {
          "description": "Percentage of traffic from endpoint to divert to each deployment. Traffic values need to sum to 100.",
          "type": "object",
          "additionalProperties": {
            "format": "int32",
            "type": "integer"
          },
          "x-nullable": true
        }
      },
      "x-ms-client-name": "OnlineEndpointProperties",
      "additionalProperties": false
    },
    "OnlineEndpointTrackedResource": {
      "required": [
        "location",
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/TrackedResource"
        }
      ],
      "properties": {
        "identity": {
          "description": "Managed service identity (system assigned and/or user assigned identities)",
          "$ref": "../../../../../common-types/resource-management/v3/managedidentity.json#/definitions/ManagedServiceIdentity"
        },
        "kind": {
          "description": "Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.",
          "type": "string"
        },
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/OnlineEndpoint"
        },
        "sku": {
          "description": "Sku details required for ARM contract for Autoscaling.",
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Sku"
        }
      },
      "x-ms-client-name": "OnlineEndpoint",
      "additionalProperties": false
    },
    "OnlineEndpointTrackedResourceArmPaginatedResult": {
      "description": "A paginated list of OnlineEndpoint entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of OnlineEndpoint objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type OnlineEndpoint.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/OnlineEndpointTrackedResource"
          }
        }
      },
      "additionalProperties": false
    },
    "OnlineRequestSettings": {
      "description": "Online deployment scoring requests configuration.",
      "type": "object",
      "properties": {
        "maxConcurrentRequestsPerInstance": {
          "format": "int32",
          "description": "The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.",
          "default": 1,
          "type": "integer"
        },
        "maxQueueWait": {
          "format": "duration",
          "description": "The maximum amount of time a request will stay in the queue in ISO 8601 format.\r\nDefaults to 500ms.",
          "default": "PT0.5S",
          "type": "string"
        },
        "requestTimeout": {
          "format": "duration",
          "description": "The scoring timeout in ISO 8601 format.\r\nDefaults to 5000ms.",
          "default": "PT5S",
          "type": "string"
        }
      },
      "additionalProperties": false
    },
    "OnlineScaleSettings": {
      "description": "Online deployment scaling configuration.",
      "required": [
        "scaleType"
      ],
      "type": "object",
      "properties": {
        "scaleType": {
          "description": "[Required] Type of deployment scaling algorithm",
          "$ref": "#/definitions/ScaleType"
        }
      },
      "discriminator": "scaleType"
    },
    "OperatingSystemType": {
      "description": "The type of operating system.",
      "enum": [
        "Linux",
        "Windows"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "OperatingSystemType",
        "modelAsString": true,
        "values": [
          {
            "value": "Linux"
          },
          {
            "value": "Windows"
          }
        ]
      },
      "additionalProperties": false
    },
    "OrderString": {
      "enum": [
        "CreatedAtDesc",
        "CreatedAtAsc",
        "UpdatedAtDesc",
        "UpdatedAtAsc"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "OrderString",
        "modelAsString": true,
        "values": [
          {
            "value": "CreatedAtDesc"
          },
          {
            "value": "CreatedAtAsc"
          },
          {
            "value": "UpdatedAtDesc"
          },
          {
            "value": "UpdatedAtAsc"
          }
        ]
      },
      "additionalProperties": false
    },
    "OutputDeliveryMode": {
      "description": "Output data delivery mode enums.",
      "enum": [
        "ReadWriteMount",
        "Upload"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "OutputDeliveryMode",
        "modelAsString": true,
        "values": [
          {
            "value": "ReadWriteMount"
          },
          {
            "value": "Upload"
          }
        ]
      },
      "additionalProperties": false
    },
    "OutputPathAssetReference": {
      "description": "Reference to an asset via its path in a job output.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetReferenceBase"
        }
      ],
      "properties": {
        "jobId": {
          "description": "ARM resource ID of the job.",
          "type": "string",
          "x-nullable": true
        },
        "path": {
          "description": "The path of the file/directory in the job output.",
          "type": "string",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "OutputPath",
      "additionalProperties": false
    },
    "PartialBatchDeployment": {
      "description": "Mutable batch inference settings per deployment.",
      "type": "object",
      "properties": {
        "description": {
          "description": "Description of the endpoint deployment.",
          "type": "string",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties": {
      "description": "Strictly used in update requests.",
      "type": "object",
      "properties": {
        "properties": {
          "description": "Additional attributes of the entity.",
          "$ref": "#/definitions/PartialBatchDeployment"
        },
        "tags": {
          "description": "Resource tags.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          }
        }
      },
      "additionalProperties": false
    },
    "PartialManagedServiceIdentity": {
      "description": "Managed service identity (system assigned and/or user assigned identities)",
      "type": "object",
      "properties": {
        "type": {
          "description": "Managed service identity (system assigned and/or user assigned identities)",
          "$ref": "../../../../../common-types/resource-management/v3/managedidentity.json#/definitions/ManagedServiceIdentityType"
        },
        "userAssignedIdentities": {
          "description": "The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.",
          "type": "object",
          "additionalProperties": {
            "$ref": "#/definitions/PartialUserAssignedIdentity"
          }
        }
      },
      "additionalProperties": false
    },
    "PartialMinimalTrackedResource": {
      "description": "Strictly used in update requests.",
      "type": "object",
      "properties": {
        "tags": {
          "description": "Resource tags.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          }
        }
      },
      "additionalProperties": false
    },
    "PartialMinimalTrackedResourceWithIdentity": {
      "description": "Strictly used in update requests.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/PartialMinimalTrackedResource"
        }
      ],
      "properties": {
        "identity": {
          "description": "Managed service identity (system assigned and/or user assigned identities)",
          "$ref": "#/definitions/PartialManagedServiceIdentity"
        }
      },
      "additionalProperties": false
    },
    "PartialMinimalTrackedResourceWithSku": {
      "description": "Strictly used in update requests.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/PartialMinimalTrackedResource"
        }
      ],
      "properties": {
        "sku": {
          "description": "Sku details required for ARM contract for Autoscaling.",
          "$ref": "#/definitions/PartialSku"
        }
      },
      "additionalProperties": false
    },
    "PartialSku": {
      "description": "Common SKU definition.",
      "type": "object",
      "properties": {
        "capacity": {
          "format": "int32",
          "description": "If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.",
          "type": "integer"
        },
        "family": {
          "description": "If the service has different generations of hardware, for the same SKU, then that can be captured here.",
          "type": "string"
        },
        "name": {
          "description": "The name of the SKU. Ex - P3. It is typically a letter+number code.",
          "type": "string"
        },
        "size": {
          "description": "The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.",
          "type": "string"
        },
        "tier": {
          "description": "This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.",
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/SkuTier"
        }
      },
      "additionalProperties": false
    },
    "PartialUserAssignedIdentity": {
      "type": "object",
      "additionalProperties": false
    },
    "PipelineJob": {
      "description": "Pipeline Job definition: defines generic to MFE attributes.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/JobBase"
        }
      ],
      "properties": {
        "inputs": {
          "description": "Inputs for the pipeline job.",
          "type": "object",
          "additionalProperties": {
            "description": "Command job definition.",
            "$ref": "#/definitions/JobInput",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "jobs": {
          "description": "Jobs construct the Pipeline Job.",
          "type": "object",
          "additionalProperties": {
            "type": "object",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "outputs": {
          "description": "Outputs for the pipeline job",
          "type": "object",
          "additionalProperties": {
            "description": "Job output definition container information on where to find job output/logs.",
            "$ref": "#/definitions/JobOutput",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "settings": {
          "description": "Pipeline settings, for things like ContinueRunOnStepFailure etc.",
          "type": "object",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "sourceJobId": {
          "description": "ARM resource ID of source job.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Pipeline",
      "additionalProperties": false
    },
    "ProbeSettings": {
      "description": "Deployment container liveness/readiness probe configuration.",
      "type": "object",
      "properties": {
        "failureThreshold": {
          "format": "int32",
          "description": "The number of failures to allow before returning an unhealthy status.",
          "default": 30,
          "type": "integer"
        },
        "initialDelay": {
          "format": "duration",
          "description": "The delay before the first probe in ISO 8601 format.",
          "type": "string",
          "x-nullable": true
        },
        "period": {
          "format": "duration",
          "description": "The length of time between probes in ISO 8601 format.",
          "default": "PT10S",
          "type": "string"
        },
        "successThreshold": {
          "format": "int32",
          "description": "The number of successful probes before returning a healthy status.",
          "default": 1,
          "type": "integer"
        },
        "timeout": {
          "format": "duration",
          "description": "The probe timeout in ISO 8601 format.",
          "default": "PT2S",
          "type": "string"
        }
      },
      "additionalProperties": false
    },
    "PublicNetworkAccessType": {
      "description": "Enum to determine whether PublicNetworkAccess is Enabled or Disabled.",
      "enum": [
        "Enabled",
        "Disabled"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "PublicNetworkAccessType",
        "modelAsString": true,
        "values": [
          {
            "value": "Enabled"
          },
          {
            "value": "Disabled"
          }
        ]
      },
      "additionalProperties": false
    },
    "PyTorch": {
      "description": "PyTorch distribution configuration.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DistributionConfiguration"
        }
      ],
      "properties": {
        "processCountPerInstance": {
          "format": "int32",
          "description": "Number of processes per node.",
          "type": "integer",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "PyTorch",
      "additionalProperties": false
    },
    "RandomSamplingAlgorithm": {
      "description": "Defines a Sampling Algorithm that generates values randomly",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/SamplingAlgorithm"
        }
      ],
      "properties": {
        "rule": {
          "description": "The specific type of random algorithm",
          "default": "Random",
          "$ref": "#/definitions/RandomSamplingAlgorithmRule"
        },
        "seed": {
          "format": "int32",
          "description": "An optional integer to use as the seed for random number generation",
          "type": "integer",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Random",
      "additionalProperties": false
    },
    "RandomSamplingAlgorithmRule": {
      "description": "The specific type of random algorithm",
      "enum": [
        "Random",
        "Sobol"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "RandomSamplingAlgorithmRule",
        "modelAsString": true,
        "values": [
          {
            "value": "Random"
          },
          {
            "value": "Sobol"
          }
        ]
      },
      "additionalProperties": false
    },
    "RecurrenceFrequency": {
      "description": "Enum to describe the frequency of a recurrence schedule",
      "enum": [
        "Minute",
        "Hour",
        "Day",
        "Week",
        "Month"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "RecurrenceFrequency",
        "modelAsString": true,
        "values": [
          {
            "value": "Minute",
            "description": "Minute frequency"
          },
          {
            "value": "Hour",
            "description": "Hour frequency"
          },
          {
            "value": "Day",
            "description": "Day frequency"
          },
          {
            "value": "Week",
            "description": "Week frequency"
          },
          {
            "value": "Month",
            "description": "Month frequency"
          }
        ]
      },
      "additionalProperties": false
    },
    "RecurrenceSchedule": {
      "required": [
        "hours",
        "minutes"
      ],
      "type": "object",
      "properties": {
        "hours": {
          "description": "[Required] List of hours for the schedule.",
          "type": "array",
          "items": {
            "format": "int32",
            "type": "integer"
          }
        },
        "minutes": {
          "description": "[Required] List of minutes for the schedule.",
          "type": "array",
          "items": {
            "format": "int32",
            "type": "integer"
          }
        },
        "monthDays": {
          "description": "List of month days for the schedule",
          "type": "array",
          "items": {
            "format": "int32",
            "type": "integer"
          },
          "x-nullable": true
        },
        "weekDays": {
          "description": "List of days for the schedule.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/WeekDay"
          },
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "RecurrenceTrigger": {
      "required": [
        "frequency",
        "interval"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TriggerBase"
        }
      ],
      "properties": {
        "frequency": {
          "description": "[Required] The frequency to trigger schedule.",
          "$ref": "#/definitions/RecurrenceFrequency"
        },
        "interval": {
          "format": "int32",
          "description": "[Required] Specifies schedule interval in conjunction with frequency",
          "type": "integer"
        },
        "schedule": {
          "description": "The recurrence schedule.",
          "$ref": "#/definitions/RecurrenceSchedule",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Recurrence",
      "additionalProperties": false
    },
    "ReferenceType": {
      "description": "Enum to determine which reference method to use for an asset.",
      "enum": [
        "Id",
        "DataPath",
        "OutputPath"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ReferenceType",
        "modelAsString": true,
        "values": [
          {
            "value": "Id"
          },
          {
            "value": "DataPath"
          },
          {
            "value": "OutputPath"
          }
        ]
      },
      "additionalProperties": false
    },
    "RegenerateEndpointKeysRequest": {
      "required": [
        "keyType"
      ],
      "type": "object",
      "properties": {
        "keyType": {
          "description": "[Required] Specification for which type of key to generate. Primary or Secondary.",
          "$ref": "#/definitions/KeyType",
          "example": "Primary"
        },
        "keyValue": {
          "description": "The value the key is set to.",
          "type": "string",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "Regression": {
      "description": "Regression task in AutoML Table vertical.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TableVertical"
        },
        {
          "$ref": "#/definitions/AutoMLVertical"
        }
      ],
      "properties": {
        "primaryMetric": {
          "description": "Primary metric for regression task.",
          "default": "NormalizedRootMeanSquaredError",
          "$ref": "#/definitions/RegressionPrimaryMetrics"
        },
        "trainingSettings": {
          "description": "Inputs for training phase for an AutoML Job.",
          "$ref": "#/definitions/RegressionTrainingSettings",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Regression",
      "additionalProperties": false
    },
    "RegressionModels": {
      "description": "Enum for all Regression models supported by AutoML.",
      "enum": [
        "ElasticNet",
        "GradientBoosting",
        "DecisionTree",
        "KNN",
        "LassoLars",
        "SGD",
        "RandomForest",
        "ExtremeRandomTrees",
        "LightGBM",
        "XGBoostRegressor"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "RegressionModels",
        "modelAsString": true,
        "values": [
          {
            "value": "ElasticNet",
            "description": "Elastic net is a popular type of regularized linear regression that combines two popular penalties, specifically the L1 and L2 penalty functions."
          },
          {
            "value": "GradientBoosting",
            "description": "The technique of transiting week learners into a strong learner is called Boosting. The gradient boosting algorithm process works on this theory of execution."
          },
          {
            "value": "DecisionTree",
            "description": "Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks.\nThe goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features."
          },
          {
            "value": "KNN",
            "description": "K-nearest neighbors (KNN) algorithm uses 'feature similarity' to predict the values of new datapoints\nwhich further means that the new data point will be assigned a value based on how closely it matches the points in the training set."
          },
          {
            "value": "LassoLars",
            "description": "Lasso model fit with Least Angle Regression a.k.a. Lars. It is a Linear Model trained with an L1 prior as regularizer."
          },
          {
            "value": "SGD",
            "description": "SGD: Stochastic gradient descent is an optimization algorithm often used in machine learning applications\nto find the model parameters that correspond to the best fit between predicted and actual outputs.\nIt's an inexact but powerful technique."
          },
          {
            "value": "RandomForest",
            "description": "Random forest is a supervised learning algorithm.\nThe \"forest\" it builds, is an ensemble of decision trees, usually trained with the “bagging” method.\nThe general idea of the bagging method is that a combination of learning models increases the overall result."
          },
          {
            "value": "ExtremeRandomTrees",
            "description": "Extreme Trees is an ensemble machine learning algorithm that combines the predictions from many decision trees. It is related to the widely used random forest algorithm."
          },
          {
            "value": "LightGBM",
            "description": "LightGBM is a gradient boosting framework that uses tree based learning algorithms."
          },
          {
            "value": "XGBoostRegressor",
            "description": "XGBoostRegressor: Extreme Gradient Boosting Regressor is a supervised machine learning model using ensemble of base learners."
          }
        ]
      },
      "additionalProperties": false
    },
    "RegressionPrimaryMetrics": {
      "description": "Primary metrics for Regression task.",
      "enum": [
        "SpearmanCorrelation",
        "NormalizedRootMeanSquaredError",
        "R2Score",
        "NormalizedMeanAbsoluteError"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "RegressionPrimaryMetrics",
        "modelAsString": true,
        "values": [
          {
            "value": "SpearmanCorrelation",
            "description": "The Spearman's rank coefficient of correlation is a nonparametric measure of rank correlation."
          },
          {
            "value": "NormalizedRootMeanSquaredError",
            "description": "The Normalized Root Mean Squared Error (NRMSE) the RMSE facilitates the comparison between models with different scales."
          },
          {
            "value": "R2Score",
            "description": "The R2 score is one of the performance evaluation measures for forecasting-based machine learning models."
          },
          {
            "value": "NormalizedMeanAbsoluteError",
            "description": "The Normalized Mean Absolute Error (NMAE) is a validation metric to compare the Mean Absolute Error (MAE) of (time) series with different scales."
          }
        ]
      },
      "additionalProperties": false
    },
    "RegressionTrainingSettings": {
      "description": "Regression Training related configuration.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/TrainingSettings"
        }
      ],
      "properties": {
        "allowedTrainingAlgorithms": {
          "description": "Allowed models for regression task.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/RegressionModels"
          },
          "x-nullable": true
        },
        "blockedTrainingAlgorithms": {
          "description": "Blocked models for regression task.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/RegressionModels"
          },
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "ResourceBase": {
      "type": "object",
      "properties": {
        "description": {
          "description": "The asset description text.",
          "type": "string",
          "x-nullable": true
        },
        "properties": {
          "description": "The asset property dictionary.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          },
          "x-nullable": true
        },
        "tags": {
          "description": "Tag dictionary. Tags can be added, removed, and updated.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          },
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "ResourceConfiguration": {
      "type": "object",
      "properties": {
        "instanceCount": {
          "format": "int32",
          "description": "Optional number of instances or nodes used by the compute target.",
          "default": 1,
          "type": "integer",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "instanceType": {
          "description": "Optional type of VM used as supported by the compute target.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "properties": {
          "description": "Additional properties bag.",
          "type": "object",
          "additionalProperties": {
            "type": "object",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "Route": {
      "required": [
        "path",
        "port"
      ],
      "type": "object",
      "properties": {
        "path": {
          "description": "[Required] The path for the route.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string"
        },
        "port": {
          "format": "int32",
          "description": "[Required] The port for the route.",
          "type": "integer"
        }
      },
      "additionalProperties": false
    },
    "SamplingAlgorithm": {
      "description": "The Sampling Algorithm used to generate hyperparameter values, along with properties to\r\nconfigure the algorithm",
      "required": [
        "samplingAlgorithmType"
      ],
      "type": "object",
      "properties": {
        "samplingAlgorithmType": {
          "description": "[Required] The algorithm used for generating hyperparameter values, along with configuration properties",
          "$ref": "#/definitions/SamplingAlgorithmType"
        }
      },
      "discriminator": "samplingAlgorithmType"
    },
    "SamplingAlgorithmType": {
      "enum": [
        "Grid",
        "Random",
        "Bayesian"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "SamplingAlgorithmType",
        "modelAsString": true,
        "values": [
          {
            "value": "Grid"
          },
          {
            "value": "Random"
          },
          {
            "value": "Bayesian"
          }
        ]
      },
      "additionalProperties": false
    },
    "SasDatastoreCredentials": {
      "description": "SAS datastore credentials configuration.",
      "required": [
        "secrets"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DatastoreCredentials"
        }
      ],
      "properties": {
        "secrets": {
          "description": "[Required] Storage container secrets.",
          "$ref": "#/definitions/SasDatastoreSecrets",
          "x-ms-mutability": [
            "create",
            "update"
          ],
          "x-ms-secret": true
        }
      },
      "x-ms-discriminator-value": "Sas",
      "additionalProperties": false
    },
    "SasDatastoreSecrets": {
      "description": "Datastore SAS secrets.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DatastoreSecrets"
        }
      ],
      "properties": {
        "sasToken": {
          "description": "Storage container SAS token.",
          "type": "string",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Sas",
      "additionalProperties": false
    },
    "ScaleType": {
      "enum": [
        "Default",
        "TargetUtilization"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ScaleType",
        "modelAsString": true,
        "values": [
          {
            "value": "Default"
          },
          {
            "value": "TargetUtilization"
          }
        ]
      },
      "additionalProperties": false
    },
    "Schedule": {
      "description": "Base definition of a schedule",
      "required": [
        "action",
        "trigger"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/ResourceBase"
        }
      ],
      "properties": {
        "action": {
          "description": "[Required] Specifies the action of the schedule",
          "$ref": "#/definitions/ScheduleActionBase",
          "x-ms-mutability": [
            "create",
            "read",
            "update"
          ]
        },
        "displayName": {
          "description": "Display name of schedule.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "isEnabled": {
          "description": "Is the schedule enabled?",
          "default": true,
          "type": "boolean",
          "x-ms-mutability": [
            "create",
            "read",
            "update"
          ]
        },
        "provisioningState": {
          "description": "Provisioning state for the schedule.",
          "$ref": "#/definitions/ScheduleProvisioningStatus",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ]
        },
        "trigger": {
          "description": "[Required] Specifies the trigger details",
          "$ref": "#/definitions/TriggerBase",
          "x-ms-mutability": [
            "create",
            "read",
            "update"
          ]
        }
      },
      "x-ms-client-name": "ScheduleProperties",
      "additionalProperties": false
    },
    "ScheduleActionBase": {
      "required": [
        "actionType"
      ],
      "type": "object",
      "properties": {
        "actionType": {
          "description": "[Required] Specifies the action type of the schedule",
          "$ref": "#/definitions/ScheduleActionType",
          "x-ms-mutability": [
            "create",
            "read",
            "update"
          ]
        }
      },
      "discriminator": "actionType"
    },
    "ScheduleActionType": {
      "enum": [
        "CreateJob",
        "InvokeBatchEndpoint"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ScheduleActionType",
        "modelAsString": true,
        "values": [
          {
            "value": "CreateJob"
          },
          {
            "value": "InvokeBatchEndpoint"
          }
        ]
      },
      "additionalProperties": false
    },
    "ScheduleListViewType": {
      "enum": [
        "EnabledOnly",
        "DisabledOnly",
        "All"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ScheduleListViewType",
        "modelAsString": true,
        "values": [
          {
            "value": "EnabledOnly"
          },
          {
            "value": "DisabledOnly"
          },
          {
            "value": "All"
          }
        ]
      },
      "additionalProperties": false
    },
    "ScheduleProvisioningStatus": {
      "enum": [
        "Creating",
        "Updating",
        "Deleting",
        "Succeeded",
        "Failed",
        "Canceled"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ScheduleProvisioningStatus",
        "modelAsString": true,
        "values": [
          {
            "value": "Creating"
          },
          {
            "value": "Updating"
          },
          {
            "value": "Deleting"
          },
          {
            "value": "Succeeded"
          },
          {
            "value": "Failed"
          },
          {
            "value": "Canceled"
          }
        ]
      },
      "additionalProperties": false
    },
    "ScheduleResource": {
      "description": "Azure Resource Manager resource envelope.",
      "required": [
        "properties"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/Resource"
        }
      ],
      "properties": {
        "properties": {
          "description": "[Required] Additional attributes of the entity.",
          "$ref": "#/definitions/Schedule"
        }
      },
      "x-ms-client-name": "Schedule",
      "additionalProperties": false
    },
    "ScheduleResourceArmPaginatedResult": {
      "description": "A paginated list of Schedule entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of Schedule objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type Schedule.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/ScheduleResource"
          }
        }
      },
      "additionalProperties": false
    },
    "Seasonality": {
      "description": "Forecasting seasonality.",
      "required": [
        "mode"
      ],
      "type": "object",
      "properties": {
        "mode": {
          "description": "[Required] Seasonality mode.",
          "$ref": "#/definitions/SeasonalityMode",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "discriminator": "mode"
    },
    "SeasonalityMode": {
      "description": "Forecasting seasonality mode.",
      "enum": [
        "Auto",
        "Custom"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "SeasonalityMode",
        "modelAsString": true,
        "values": [
          {
            "value": "Auto",
            "description": "Seasonality to be determined automatically."
          },
          {
            "value": "Custom",
            "description": "Use the custom seasonality value."
          }
        ]
      },
      "additionalProperties": false
    },
    "SecretsType": {
      "description": "Enum to determine the datastore secrets type.",
      "enum": [
        "AccountKey",
        "Certificate",
        "Sas",
        "ServicePrincipal"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "SecretsType",
        "modelAsString": true,
        "values": [
          {
            "value": "AccountKey"
          },
          {
            "value": "Certificate"
          },
          {
            "value": "Sas"
          },
          {
            "value": "ServicePrincipal"
          }
        ]
      },
      "additionalProperties": false
    },
    "ServiceDataAccessAuthIdentity": {
      "enum": [
        "None",
        "WorkspaceSystemAssignedIdentity",
        "WorkspaceUserAssignedIdentity"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ServiceDataAccessAuthIdentity",
        "modelAsString": true,
        "values": [
          {
            "value": "None",
            "description": "Do not use any identity for service data access."
          },
          {
            "value": "WorkspaceSystemAssignedIdentity",
            "description": "Use the system assigned managed identity of the Workspace to authenticate service data access."
          },
          {
            "value": "WorkspaceUserAssignedIdentity",
            "description": "Use the user assigned managed identity of the Workspace to authenticate service data access."
          }
        ]
      },
      "additionalProperties": false
    },
    "ServicePrincipalDatastoreCredentials": {
      "description": "Service Principal datastore credentials configuration.",
      "required": [
        "clientId",
        "secrets",
        "tenantId"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DatastoreCredentials"
        }
      ],
      "properties": {
        "authorityUrl": {
          "description": "Authority URL used for authentication.",
          "type": "string",
          "x-nullable": true
        },
        "clientId": {
          "format": "uuid",
          "description": "[Required] Service principal client ID.",
          "type": "string"
        },
        "resourceUrl": {
          "description": "Resource the service principal has access to.",
          "type": "string",
          "x-nullable": true
        },
        "secrets": {
          "description": "[Required] Service principal secrets.",
          "$ref": "#/definitions/ServicePrincipalDatastoreSecrets",
          "x-ms-mutability": [
            "create",
            "update"
          ],
          "x-ms-secret": true
        },
        "tenantId": {
          "format": "uuid",
          "description": "[Required] ID of the tenant to which the service principal belongs.",
          "type": "string"
        }
      },
      "x-ms-discriminator-value": "ServicePrincipal",
      "additionalProperties": false
    },
    "ServicePrincipalDatastoreSecrets": {
      "description": "Datastore Service Principal secrets.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DatastoreSecrets"
        }
      ],
      "properties": {
        "clientSecret": {
          "description": "Service principal secret.",
          "type": "string",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "ServicePrincipal",
      "additionalProperties": false
    },
    "ShortSeriesHandlingConfiguration": {
      "description": "The parameter defining how if AutoML should handle short time series.",
      "enum": [
        "None",
        "Auto",
        "Pad",
        "Drop"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "ShortSeriesHandlingConfiguration",
        "modelAsString": true,
        "values": [
          {
            "value": "None",
            "description": "Represents no/null value."
          },
          {
            "value": "Auto",
            "description": "Short series will be padded if there are no long series, otherwise short series will be dropped."
          },
          {
            "value": "Pad",
            "description": "All the short series will be padded."
          },
          {
            "value": "Drop",
            "description": "All the short series will be dropped."
          }
        ]
      },
      "additionalProperties": false
    },
    "SkuCapacity": {
      "description": "SKU capacity information",
      "type": "object",
      "properties": {
        "default": {
          "format": "int32",
          "description": "Gets or sets the default capacity.",
          "default": 0,
          "type": "integer"
        },
        "maximum": {
          "format": "int32",
          "description": "Gets or sets the maximum.",
          "default": 0,
          "type": "integer"
        },
        "minimum": {
          "format": "int32",
          "description": "Gets or sets the minimum.",
          "default": 0,
          "type": "integer"
        },
        "scaleType": {
          "description": "Gets or sets the type of the scale.",
          "default": "Automatic",
          "$ref": "#/definitions/SkuScaleType"
        }
      },
      "additionalProperties": false
    },
    "SkuResource": {
      "description": "Fulfills ARM Contract requirement to list all available SKUS for a resource.",
      "type": "object",
      "properties": {
        "capacity": {
          "description": "Gets or sets the Sku Capacity.",
          "$ref": "#/definitions/SkuCapacity",
          "x-nullable": true
        },
        "resourceType": {
          "description": "The resource type name.",
          "type": "string",
          "readOnly": true,
          "x-ms-mutability": [
            "read"
          ],
          "x-nullable": true
        },
        "sku": {
          "description": "Gets or sets the Sku.",
          "$ref": "#/definitions/SkuSetting",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "SkuResourceArmPaginatedResult": {
      "description": "A paginated list of SkuResource entities.",
      "type": "object",
      "properties": {
        "nextLink": {
          "description": "The link to the next page of SkuResource objects. If null, there are no additional pages.",
          "type": "string"
        },
        "value": {
          "description": "An array of objects of type SkuResource.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/SkuResource"
          },
          "x-ms-identifiers": []
        }
      },
      "additionalProperties": false
    },
    "SkuScaleType": {
      "description": "Node scaling setting for the compute sku.",
      "enum": [
        "Automatic",
        "Manual",
        "None"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "SkuScaleType",
        "modelAsString": true,
        "values": [
          {
            "value": "Automatic",
            "description": "Automatically scales node count."
          },
          {
            "value": "Manual",
            "description": "Node count scaled upon user request."
          },
          {
            "value": "None",
            "description": "Fixed set of nodes."
          }
        ]
      },
      "additionalProperties": false
    },
    "SkuSetting": {
      "description": "SkuSetting fulfills the need for stripped down SKU info in ARM contract.",
      "required": [
        "name"
      ],
      "type": "object",
      "properties": {
        "name": {
          "description": "[Required] The name of the SKU. Ex - P3. It is typically a letter+number code.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string"
        },
        "tier": {
          "description": "This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.",
          "default": "Basic",
          "$ref": "../../../../../common-types/resource-management/v3/types.json#/definitions/SkuTier"
        }
      },
      "additionalProperties": false
    },
    "StackEnsembleSettings": {
      "description": "Advances setting to customize StackEnsemble run.",
      "type": "object",
      "properties": {
        "stackMetaLearnerKWargs": {
          "description": "Optional parameters to pass to the initializer of the meta-learner.",
          "type": "object",
          "x-nullable": true
        },
        "stackMetaLearnerTrainPercentage": {
          "format": "double",
          "description": "Specifies the proportion of the training set (when choosing train and validation type of training) to be reserved for training the meta-learner. Default value is 0.2.",
          "default": 0.2,
          "type": "number"
        },
        "stackMetaLearnerType": {
          "description": "The meta-learner is a model trained on the output of the individual heterogeneous models.",
          "default": "None",
          "$ref": "#/definitions/StackMetaLearnerType"
        }
      },
      "additionalProperties": false
    },
    "StackMetaLearnerType": {
      "description": "The meta-learner is a model trained on the output of the individual heterogeneous models.\r\nDefault meta-learners are LogisticRegression for classification tasks (or LogisticRegressionCV if cross-validation is enabled) and ElasticNet for regression/forecasting tasks (or ElasticNetCV if cross-validation is enabled).\r\nThis parameter can be one of the following strings: LogisticRegression, LogisticRegressionCV, LightGBMClassifier, ElasticNet, ElasticNetCV, LightGBMRegressor, or LinearRegression",
      "enum": [
        "None",
        "LogisticRegression",
        "LogisticRegressionCV",
        "LightGBMClassifier",
        "ElasticNet",
        "ElasticNetCV",
        "LightGBMRegressor",
        "LinearRegression"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "StackMetaLearnerType",
        "modelAsString": true,
        "values": [
          {
            "value": "None"
          },
          {
            "value": "LogisticRegression",
            "description": "Default meta-learners are LogisticRegression for classification tasks."
          },
          {
            "value": "LogisticRegressionCV",
            "description": "Default meta-learners are LogisticRegression for classification task when CV is on."
          },
          {
            "value": "LightGBMClassifier"
          },
          {
            "value": "ElasticNet",
            "description": "Default meta-learners are LogisticRegression for regression task."
          },
          {
            "value": "ElasticNetCV",
            "description": "Default meta-learners are LogisticRegression for regression task when CV is on."
          },
          {
            "value": "LightGBMRegressor"
          },
          {
            "value": "LinearRegression"
          }
        ]
      },
      "additionalProperties": false
    },
    "StochasticOptimizer": {
      "description": "Stochastic optimizer for image models.",
      "enum": [
        "None",
        "Sgd",
        "Adam",
        "Adamw"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "StochasticOptimizer",
        "modelAsString": true,
        "values": [
          {
            "value": "None",
            "description": "No optimizer selected."
          },
          {
            "value": "Sgd",
            "description": "Stochastic Gradient Descent optimizer."
          },
          {
            "value": "Adam",
            "description": "Adam is algorithm the optimizes stochastic objective functions based on adaptive estimates of moments"
          },
          {
            "value": "Adamw",
            "description": "AdamW is a variant of the optimizer Adam that has an improved implementation of weight decay."
          }
        ]
      },
      "additionalProperties": false
    },
    "SweepJob": {
      "description": "Sweep job definition.",
      "required": [
        "objective",
        "samplingAlgorithm",
        "searchSpace",
        "trial"
      ],
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/JobBase"
        }
      ],
      "properties": {
        "earlyTermination": {
          "description": "Early termination policies enable canceling poor-performing runs before they complete",
          "$ref": "#/definitions/EarlyTerminationPolicy",
          "x-nullable": true
        },
        "inputs": {
          "description": "Mapping of input data bindings used in the job.",
          "type": "object",
          "additionalProperties": {
            "description": "Command job definition.",
            "$ref": "#/definitions/JobInput",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "limits": {
          "description": "Sweep Job limit.",
          "default": "{}",
          "$ref": "#/definitions/SweepJobLimits",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "objective": {
          "description": "[Required] Optimization objective.",
          "$ref": "#/definitions/Objective"
        },
        "outputs": {
          "description": "Mapping of output data bindings used in the job.",
          "type": "object",
          "additionalProperties": {
            "description": "Job output definition container information on where to find job output/logs.",
            "$ref": "#/definitions/JobOutput",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "samplingAlgorithm": {
          "description": "[Required] The hyperparameter sampling algorithm",
          "$ref": "#/definitions/SamplingAlgorithm"
        },
        "searchSpace": {
          "description": "[Required] A dictionary containing each parameter and its distribution. The dictionary key is the name of the parameter",
          "type": "object"
        },
        "trial": {
          "description": "[Required] Trial component definition.",
          "$ref": "#/definitions/TrialComponent"
        }
      },
      "x-ms-discriminator-value": "Sweep",
      "additionalProperties": false
    },
    "SweepJobLimits": {
      "description": "Sweep Job limit class.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/JobLimits"
        }
      ],
      "properties": {
        "maxConcurrentTrials": {
          "format": "int32",
          "description": "Sweep Job max concurrent trials.",
          "type": "integer",
          "x-nullable": true
        },
        "maxTotalTrials": {
          "format": "int32",
          "description": "Sweep Job max total trials.",
          "type": "integer",
          "x-nullable": true
        },
        "trialTimeout": {
          "format": "duration",
          "description": "Sweep Job Trial timeout value.",
          "type": "string",
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "Sweep",
      "additionalProperties": false
    },
    "TableVertical": {
      "description": "Abstract class for AutoML tasks that use table dataset as input - such as Classification/Regression/Forecasting.",
      "type": "object",
      "properties": {
        "cvSplitColumnNames": {
          "description": "Columns to use for CVSplit data.",
          "type": "array",
          "items": {
            "type": "string"
          },
          "x-nullable": true
        },
        "featurizationSettings": {
          "description": "Featurization inputs needed for AutoML job.",
          "$ref": "#/definitions/TableVerticalFeaturizationSettings",
          "x-nullable": true
        },
        "limitSettings": {
          "description": "Execution constraints for AutoMLJob.",
          "$ref": "#/definitions/TableVerticalLimitSettings",
          "x-nullable": true
        },
        "nCrossValidations": {
          "description": "Number of cross validation folds to be applied on training dataset\r\nwhen validation dataset is not provided.",
          "$ref": "#/definitions/NCrossValidations",
          "x-nullable": true
        },
        "testData": {
          "description": "Test data input.",
          "$ref": "#/definitions/MLTableJobInput",
          "x-nullable": true
        },
        "testDataSize": {
          "format": "double",
          "description": "The fraction of test dataset that needs to be set aside for validation purpose.\r\nValues between (0.0 , 1.0)\r\nApplied when validation dataset is not provided.",
          "type": "number",
          "x-nullable": true
        },
        "validationData": {
          "description": "Validation data inputs.",
          "$ref": "#/definitions/MLTableJobInput",
          "x-nullable": true
        },
        "validationDataSize": {
          "format": "double",
          "description": "The fraction of training dataset that needs to be set aside for validation purpose.\r\nValues between (0.0 , 1.0)\r\nApplied when validation dataset is not provided.",
          "type": "number",
          "x-nullable": true
        },
        "weightColumnName": {
          "description": "The name of the sample weight column. Automated ML supports a weighted column as an input, causing rows in the data to be weighted up or down.",
          "type": "string",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "TableVerticalFeaturizationSettings": {
      "description": "Featurization Configuration.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/FeaturizationSettings"
        }
      ],
      "properties": {
        "blockedTransformers": {
          "description": "These transformers shall not be used in featurization.",
          "type": "array",
          "items": {
            "$ref": "#/definitions/BlockedTransformers"
          },
          "x-nullable": true
        },
        "columnNameAndTypes": {
          "description": "Dictionary of column name and its type (int, float, string, datetime etc).",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          },
          "x-nullable": true
        },
        "enableDnnFeaturization": {
          "description": "Determines whether to use Dnn based featurizers for data featurization.",
          "default": false,
          "type": "boolean"
        },
        "mode": {
          "description": "Featurization mode - User can keep the default 'Auto' mode and AutoML will take care of necessary transformation of the data in featurization phase.\r\nIf 'Off' is selected then no featurization is done.\r\nIf 'Custom' is selected then user can specify additional inputs to customize how featurization is done.",
          "default": "Auto",
          "$ref": "#/definitions/FeaturizationMode"
        },
        "transformerParams": {
          "description": "User can specify additional transformers to be used along with the columns to which it would be applied and parameters for the transformer constructor.",
          "type": "object",
          "additionalProperties": {
            "type": "array",
            "items": {
              "$ref": "#/definitions/ColumnTransformer"
            },
            "x-nullable": true,
            "x-ms-identifiers": []
          },
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "TableVerticalLimitSettings": {
      "description": "Job execution constraints.",
      "type": "object",
      "properties": {
        "enableEarlyTermination": {
          "description": "Enable early termination, determines whether or not if AutoMLJob will terminate early if there is no score improvement in last 20 iterations.",
          "default": true,
          "type": "boolean"
        },
        "exitScore": {
          "format": "double",
          "description": "Exit score for the AutoML job.",
          "type": "number",
          "x-nullable": true
        },
        "maxConcurrentTrials": {
          "format": "int32",
          "description": "Maximum Concurrent iterations.",
          "default": 1,
          "type": "integer"
        },
        "maxCoresPerTrial": {
          "format": "int32",
          "description": "Max cores per iteration.",
          "default": -1,
          "type": "integer"
        },
        "maxTrials": {
          "format": "int32",
          "description": "Number of iterations.",
          "default": 1000,
          "type": "integer"
        },
        "timeout": {
          "format": "duration",
          "description": "AutoML job timeout.",
          "default": "PT6H",
          "type": "string"
        },
        "trialTimeout": {
          "format": "duration",
          "description": "Iteration timeout.",
          "default": "PT30M",
          "type": "string"
        }
      },
      "additionalProperties": false
    },
    "TargetAggregationFunction": {
      "description": "Target aggregate function.",
      "enum": [
        "None",
        "Sum",
        "Max",
        "Min",
        "Mean"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "TargetAggregationFunction",
        "modelAsString": true,
        "values": [
          {
            "value": "None",
            "description": "Represent no value set."
          },
          {
            "value": "Sum"
          },
          {
            "value": "Max"
          },
          {
            "value": "Min"
          },
          {
            "value": "Mean"
          }
        ]
      },
      "additionalProperties": false
    },
    "TargetLags": {
      "description": "The number of past periods to lag from the target column.",
      "required": [
        "mode"
      ],
      "type": "object",
      "properties": {
        "mode": {
          "description": "[Required] Set target lags mode - Auto/Custom",
          "$ref": "#/definitions/TargetLagsMode",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "discriminator": "mode"
    },
    "TargetLagsMode": {
      "description": "Target lags selection modes.",
      "enum": [
        "Auto",
        "Custom"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "TargetLagsMode",
        "modelAsString": true,
        "values": [
          {
            "value": "Auto",
            "description": "Target lags to be determined automatically."
          },
          {
            "value": "Custom",
            "description": "Use the custom target lags."
          }
        ]
      },
      "additionalProperties": false
    },
    "TargetRollingWindowSize": {
      "description": "Forecasting target rolling window size.",
      "required": [
        "mode"
      ],
      "type": "object",
      "properties": {
        "mode": {
          "description": "[Required] TargetRollingWindowSiz detection mode.",
          "$ref": "#/definitions/TargetRollingWindowSizeMode",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "discriminator": "mode"
    },
    "TargetRollingWindowSizeMode": {
      "description": "Target rolling windows size mode.",
      "enum": [
        "Auto",
        "Custom"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "TargetRollingWindowSizeMode",
        "modelAsString": true,
        "values": [
          {
            "value": "Auto",
            "description": "Determine rolling windows size automatically."
          },
          {
            "value": "Custom",
            "description": "Use the specified rolling window size."
          }
        ]
      },
      "additionalProperties": false
    },
    "TargetUtilizationScaleSettings": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/OnlineScaleSettings"
        }
      ],
      "properties": {
        "maxInstances": {
          "format": "int32",
          "description": "The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.",
          "default": 1,
          "type": "integer"
        },
        "minInstances": {
          "format": "int32",
          "description": "The minimum number of instances to always be present.",
          "default": 1,
          "type": "integer"
        },
        "pollingInterval": {
          "format": "duration",
          "description": "The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.",
          "default": "PT1S",
          "type": "string"
        },
        "targetUtilizationPercentage": {
          "format": "int32",
          "description": "Target CPU usage for the autoscaler.",
          "default": 70,
          "type": "integer"
        }
      },
      "x-ms-discriminator-value": "TargetUtilization",
      "additionalProperties": false
    },
    "TaskType": {
      "description": "AutoMLJob Task type.",
      "enum": [
        "Classification",
        "Regression",
        "Forecasting",
        "ImageClassification",
        "ImageClassificationMultilabel",
        "ImageObjectDetection",
        "ImageInstanceSegmentation",
        "TextClassification",
        "TextClassificationMultilabel",
        "TextNER"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "TaskType",
        "modelAsString": true,
        "values": [
          {
            "value": "Classification",
            "description": "Classification in machine learning and statistics is a supervised learning approach in which\nthe computer program learns from the data given to it and make new observations or classifications."
          },
          {
            "value": "Regression",
            "description": "Regression means to predict the value using the input data. Regression models are used to predict a continuous value."
          },
          {
            "value": "Forecasting",
            "description": "Forecasting is a special kind of regression task that deals with time-series data and creates forecasting model\nthat can be used to predict the near future values based on the inputs."
          },
          {
            "value": "ImageClassification",
            "description": "Image Classification. Multi-class image classification is used when an image is classified with only a single label\nfrom a set of classes - e.g. each image is classified as either an image of a 'cat' or a 'dog' or a 'duck'."
          },
          {
            "value": "ImageClassificationMultilabel",
            "description": "Image Classification Multilabel. Multi-label image classification is used when an image could have one or more labels\nfrom a set of labels - e.g. an image could be labeled with both 'cat' and 'dog'."
          },
          {
            "value": "ImageObjectDetection",
            "description": "Image Object Detection. Object detection is used to identify objects in an image and locate each object with a\nbounding box e.g. locate all dogs and cats in an image and draw a bounding box around each."
          },
          {
            "value": "ImageInstanceSegmentation",
            "description": "Image Instance Segmentation. Instance segmentation is used to identify objects in an image at the pixel level,\ndrawing a polygon around each object in the image."
          },
          {
            "value": "TextClassification",
            "description": "Text classification (also known as text tagging or text categorization) is the process of sorting texts into categories.\nCategories are mutually exclusive."
          },
          {
            "value": "TextClassificationMultilabel",
            "description": "Multilabel classification task assigns each sample to a group (zero or more) of target labels."
          },
          {
            "value": "TextNER",
            "description": "Text Named Entity Recognition a.k.a. TextNER.\nNamed Entity Recognition (NER) is the ability to take free-form text and identify the occurrences of entities such as people, locations, organizations, and more."
          }
        ]
      },
      "additionalProperties": false
    },
    "TensorFlow": {
      "description": "TensorFlow distribution configuration.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DistributionConfiguration"
        }
      ],
      "properties": {
        "parameterServerCount": {
          "format": "int32",
          "description": "Number of parameter server tasks.",
          "default": 0,
          "type": "integer",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "workerCount": {
          "format": "int32",
          "description": "Number of workers. If not specified, will default to the instance count.",
          "type": "integer",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        }
      },
      "x-ms-discriminator-value": "TensorFlow",
      "additionalProperties": false
    },
    "TextClassification": {
      "description": "Text Classification task in AutoML NLP vertical.\r\nNLP - Natural Language Processing.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/NlpVertical"
        },
        {
          "$ref": "#/definitions/AutoMLVertical"
        }
      ],
      "properties": {
        "primaryMetric": {
          "description": "Primary metric for Text-Classification task.",
          "default": "Accuracy",
          "$ref": "#/definitions/ClassificationPrimaryMetrics"
        }
      },
      "x-ms-discriminator-value": "TextClassification",
      "additionalProperties": false
    },
    "TextClassificationMultilabel": {
      "description": "Text Classification Multilabel task in AutoML NLP vertical.\r\nNLP - Natural Language Processing.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/NlpVertical"
        },
        {
          "$ref": "#/definitions/AutoMLVertical"
        }
      ],
      "properties": {
        "primaryMetric": {
          "description": "Primary metric for Text-Classification-Multilabel task.\r\nCurrently only Accuracy is supported as primary metric, hence user need not set it explicitly.",
          "$ref": "#/definitions/ClassificationMultilabelPrimaryMetrics",
          "readOnly": true
        }
      },
      "x-ms-discriminator-value": "TextClassificationMultilabel",
      "additionalProperties": false
    },
    "TextNer": {
      "description": "Text-NER task in AutoML NLP vertical.\r\nNER - Named Entity Recognition.\r\nNLP - Natural Language Processing.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/NlpVertical"
        },
        {
          "$ref": "#/definitions/AutoMLVertical"
        }
      ],
      "properties": {
        "primaryMetric": {
          "description": "Primary metric for Text-NER task.\r\nOnly 'Accuracy' is supported for Text-NER, so user need not set this explicitly.",
          "$ref": "#/definitions/ClassificationPrimaryMetrics",
          "readOnly": true
        }
      },
      "x-ms-discriminator-value": "TextNER",
      "additionalProperties": false
    },
    "TrainingSettings": {
      "description": "Training related configuration.",
      "type": "object",
      "properties": {
        "enableDnnTraining": {
          "description": "Enable recommendation of DNN models.",
          "default": false,
          "type": "boolean"
        },
        "enableModelExplainability": {
          "description": "Flag to turn on explainability on best model.",
          "default": true,
          "type": "boolean"
        },
        "enableOnnxCompatibleModels": {
          "description": "Flag for enabling onnx compatible models.",
          "default": false,
          "type": "boolean"
        },
        "enableStackEnsemble": {
          "description": "Enable stack ensemble run.",
          "default": true,
          "type": "boolean"
        },
        "enableVoteEnsemble": {
          "description": "Enable voting ensemble run.",
          "default": true,
          "type": "boolean"
        },
        "ensembleModelDownloadTimeout": {
          "format": "duration",
          "description": "During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded.\r\nConfigure this parameter with a higher value than 300 secs, if more time is needed.",
          "default": "PT5M",
          "type": "string"
        },
        "stackEnsembleSettings": {
          "description": "Stack ensemble settings for stack ensemble run.",
          "$ref": "#/definitions/StackEnsembleSettings",
          "x-nullable": true
        }
      },
      "additionalProperties": false
    },
    "TrialComponent": {
      "description": "Trial component definition.",
      "required": [
        "command",
        "environmentId"
      ],
      "type": "object",
      "properties": {
        "codeId": {
          "description": "ARM resource ID of the code asset.",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "command": {
          "description": "[Required] The command to execute on startup of the job. eg. \"python train.py\"",
          "minLength": 1,
          "pattern": "[a-zA-Z0-9_]",
          "type": "string",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        },
        "distribution": {
          "description": "Distribution configuration of the job. If set, this should be one of Mpi, Tensorflow, PyTorch, or null.",
          "$ref": "#/definitions/DistributionConfiguration",
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "environmentId": {
          "description": "[Required] The ARM resource ID of the Environment specification for the job.",
          "pattern": "[a-zA-Z0-9_]",
          "type": "string"
        },
        "environmentVariables": {
          "description": "Environment variables included in the job.",
          "type": "object",
          "additionalProperties": {
            "type": "string",
            "x-nullable": true
          },
          "x-ms-mutability": [
            "create",
            "read"
          ],
          "x-nullable": true
        },
        "resources": {
          "description": "Compute Resource configuration for the job.",
          "default": "{}",
          "$ref": "#/definitions/JobResourceConfiguration",
          "x-ms-mutability": [
            "create",
            "read"
          ]
        }
      },
      "additionalProperties": false
    },
    "TriggerBase": {
      "required": [
        "triggerType"
      ],
      "type": "object",
      "properties": {
        "endTime": {
          "description": "Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601.\r\nRecommented format would be \"2022-06-01T00:00:01\"\r\nIf not present, the schedule will run indefinitely",
          "type": "string",
          "x-nullable": true
        },
        "startTime": {
          "description": "Specifies start time of schedule in ISO 8601 format, but without a UTC offset.",
          "type": "string",
          "x-nullable": true
        },
        "timeZone": {
          "description": "Specifies time zone in which the schedule runs.\r\nTimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11",
          "default": "UTC",
          "type": "string"
        },
        "triggerType": {
          "description": "[Required] ",
          "$ref": "#/definitions/TriggerType",
          "x-ms-mutability": [
            "create",
            "read",
            "update"
          ]
        }
      },
      "discriminator": "triggerType"
    },
    "TriggerType": {
      "enum": [
        "Recurrence",
        "Cron"
      ],
      "type": "string",
      "x-ms-enum": {
        "name": "TriggerType",
        "modelAsString": true,
        "values": [
          {
            "value": "Recurrence"
          },
          {
            "value": "Cron"
          }
        ]
      },
      "additionalProperties": false
    },
    "TritonModelJobInput": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetJobInput"
        },
        {
          "$ref": "#/definitions/JobInput"
        }
      ],
      "x-ms-discriminator-value": "triton_model",
      "additionalProperties": false
    },
    "TritonModelJobOutput": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetJobOutput"
        },
        {
          "$ref": "#/definitions/JobOutput"
        }
      ],
      "x-ms-discriminator-value": "triton_model",
      "additionalProperties": false
    },
    "TruncationSelectionPolicy": {
      "description": "Defines an early termination policy that cancels a given percentage of runs at each evaluation interval.",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/EarlyTerminationPolicy"
        }
      ],
      "properties": {
        "truncationPercentage": {
          "format": "int32",
          "description": "The percentage of runs to cancel at each evaluation interval.",
          "default": 0,
          "type": "integer"
        }
      },
      "x-ms-discriminator-value": "TruncationSelection",
      "additionalProperties": false
    },
    "UriFileDataVersion": {
      "description": "uri-file data version entity",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DataVersionBase"
        }
      ],
      "x-ms-discriminator-value": "uri_file",
      "additionalProperties": false
    },
    "UriFileJobInput": {
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      "allOf": [
        {
          "$ref": "#/definitions/AssetJobInput"
        },
        {
          "$ref": "#/definitions/JobInput"
        }
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      "x-ms-discriminator-value": "uri_file",
      "additionalProperties": false
    },
    "UriFileJobOutput": {
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      "allOf": [
        {
          "$ref": "#/definitions/AssetJobOutput"
        },
        {
          "$ref": "#/definitions/JobOutput"
        }
      ],
      "x-ms-discriminator-value": "uri_file",
      "additionalProperties": false
    },
    "UriFolderDataVersion": {
      "description": "uri-folder data version entity",
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/DataVersionBase"
        }
      ],
      "x-ms-discriminator-value": "uri_folder",
      "additionalProperties": false
    },
    "UriFolderJobInput": {
      "type": "object",
      "allOf": [
        {
          "$ref": "#/definitions/AssetJobInput"
        },
        {
          "$ref": "#/definitions/JobInput"
        }
      ],
      "x-ms-discriminator-value": "uri_folder",
      "additionalProperties": false
    },
    "UriFolderJobOutput": {
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        {
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        },
        {
          "$ref": "#/definitions/JobOutput"
        }
      ],
      "x-ms-discriminator-value": "uri_folder",
      "additionalProperties": false
    },
    "UserIdentity": {
      "description": "User identity configuration.",
      "type": "object",
      "allOf": [
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          "$ref": "#/definitions/IdentityConfiguration"
        }
      ],
      "x-ms-discriminator-value": "UserIdentity",
      "additionalProperties": false
    },
    "UseStl": {
      "description": "Configure STL Decomposition of the time-series target column.",
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        "Season",
        "SeasonTrend"
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      "x-ms-enum": {
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            "value": "Season"
          },
          {
            "value": "SeasonTrend"
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        ]
      },
      "additionalProperties": false
    },
    "ValidationMetricType": {
      "description": "Metric computation method to use for validation metrics in image tasks.",
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        "Coco",
        "Voc",
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            "description": "Coco metric."
          },
          {
            "value": "Voc",
            "description": "Voc metric."
          },
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            "value": "CocoVoc",
            "description": "CocoVoc metric."
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        ]
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      "additionalProperties": false
    },
    "WeekDay": {
      "description": "Enum of weekday",
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        "Tuesday",
        "Wednesday",
        "Thursday",
        "Friday",
        "Saturday",
        "Sunday"
      ],
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      "x-ms-enum": {
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        "modelAsString": true,
        "values": [
          {
            "value": "Monday",
            "description": "Monday weekday"
          },
          {
            "value": "Tuesday",
            "description": "Tuesday weekday"
          },
          {
            "value": "Wednesday",
            "description": "Wednesday weekday"
          },
          {
            "value": "Thursday",
            "description": "Thursday weekday"
          },
          {
            "value": "Friday",
            "description": "Friday weekday"
          },
          {
            "value": "Saturday",
            "description": "Saturday weekday"
          },
          {
            "value": "Sunday",
            "description": "Sunday weekday"
          }
        ]
      },
      "additionalProperties": false
    }
  },
  "securityDefinitions": {
    "azure_auth": {
      "type": "oauth2",
      "flow": "implicit",
      "authorizationUrl": "https://login.microsoftonline.com/common/oauth2/authorize",
      "scopes": {
        "user_impersonation": "impersonate your user account"
      },
      "description": "Azure Active Directory OAuth2 Flow."
    }
  }
}