diff --git a/clients/client-sagemaker/src/commands/BatchDescribeModelPackageCommand.ts b/clients/client-sagemaker/src/commands/BatchDescribeModelPackageCommand.ts index 8895a9c6bb8b..4897ecc04028 100644 --- a/clients/client-sagemaker/src/commands/BatchDescribeModelPackageCommand.ts +++ b/clients/client-sagemaker/src/commands/BatchDescribeModelPackageCommand.ts @@ -89,10 +89,10 @@ export interface BatchDescribeModelPackageCommandOutput extends BatchDescribeMod * // SupportedRealtimeInferenceInstanceTypes: [ // RealtimeInferenceInstanceTypes * // "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge", * // ], - * // SupportedContentTypes: [ // ContentTypes // required + * // SupportedContentTypes: [ // ContentTypes * // "STRING_VALUE", * // ], - * // SupportedResponseMIMETypes: [ // ResponseMIMETypes // required + * // SupportedResponseMIMETypes: [ // ResponseMIMETypes * // "STRING_VALUE", * // ], * // }, diff --git a/clients/client-sagemaker/src/commands/CreateAlgorithmCommand.ts b/clients/client-sagemaker/src/commands/CreateAlgorithmCommand.ts index 0b147bf62b31..0a3d4e5752be 100644 --- a/clients/client-sagemaker/src/commands/CreateAlgorithmCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateAlgorithmCommand.ts @@ -143,10 +143,10 @@ export interface CreateAlgorithmCommandOutput extends CreateAlgorithmOutput, __M * SupportedRealtimeInferenceInstanceTypes: [ // RealtimeInferenceInstanceTypes * "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge", * ], - * SupportedContentTypes: [ // required + * SupportedContentTypes: [ * "STRING_VALUE", * ], - * SupportedResponseMIMETypes: [ // ResponseMIMETypes // required + * SupportedResponseMIMETypes: [ // ResponseMIMETypes * "STRING_VALUE", * ], * }, diff --git a/clients/client-sagemaker/src/commands/CreateModelPackageCommand.ts b/clients/client-sagemaker/src/commands/CreateModelPackageCommand.ts index 6bcf69d15fab..fe9af0fc4b12 100644 --- a/clients/client-sagemaker/src/commands/CreateModelPackageCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateModelPackageCommand.ts @@ -97,10 +97,10 @@ export interface CreateModelPackageCommandOutput extends CreateModelPackageOutpu * SupportedRealtimeInferenceInstanceTypes: [ // RealtimeInferenceInstanceTypes * "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge", * ], - * SupportedContentTypes: [ // ContentTypes // required + * SupportedContentTypes: [ // ContentTypes * "STRING_VALUE", * ], - * SupportedResponseMIMETypes: [ // ResponseMIMETypes // required + * SupportedResponseMIMETypes: [ // ResponseMIMETypes * "STRING_VALUE", * ], * }, diff --git a/clients/client-sagemaker/src/commands/DescribeAlgorithmCommand.ts b/clients/client-sagemaker/src/commands/DescribeAlgorithmCommand.ts index b90191aa0b49..7bddeeff93b4 100644 --- a/clients/client-sagemaker/src/commands/DescribeAlgorithmCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeAlgorithmCommand.ts @@ -150,10 +150,10 @@ export interface DescribeAlgorithmCommandOutput extends DescribeAlgorithmOutput, * // SupportedRealtimeInferenceInstanceTypes: [ // RealtimeInferenceInstanceTypes * // "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge", * // ], - * // SupportedContentTypes: [ // required + * // SupportedContentTypes: [ * // "STRING_VALUE", * // ], - * // SupportedResponseMIMETypes: [ // ResponseMIMETypes // required + * // SupportedResponseMIMETypes: [ // ResponseMIMETypes * // "STRING_VALUE", * // ], * // }, diff --git a/clients/client-sagemaker/src/commands/DescribeModelPackageCommand.ts b/clients/client-sagemaker/src/commands/DescribeModelPackageCommand.ts index 3f083875e494..2afb02558db3 100644 --- a/clients/client-sagemaker/src/commands/DescribeModelPackageCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeModelPackageCommand.ts @@ -89,10 +89,10 @@ export interface DescribeModelPackageCommandOutput extends DescribeModelPackageO * // SupportedRealtimeInferenceInstanceTypes: [ // RealtimeInferenceInstanceTypes * // "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge", * // ], - * // SupportedContentTypes: [ // ContentTypes // required + * // SupportedContentTypes: [ // ContentTypes * // "STRING_VALUE", * // ], - * // SupportedResponseMIMETypes: [ // ResponseMIMETypes // required + * // SupportedResponseMIMETypes: [ // ResponseMIMETypes * // "STRING_VALUE", * // ], * // }, diff --git a/clients/client-sagemaker/src/commands/SearchCommand.ts b/clients/client-sagemaker/src/commands/SearchCommand.ts index 5b93626f3eb0..7d327cd478f8 100644 --- a/clients/client-sagemaker/src/commands/SearchCommand.ts +++ b/clients/client-sagemaker/src/commands/SearchCommand.ts @@ -1096,10 +1096,10 @@ export interface SearchCommandOutput extends SearchResponse, __MetadataBearer {} * // SupportedRealtimeInferenceInstanceTypes: [ // RealtimeInferenceInstanceTypes * // "ml.t2.medium" || "ml.t2.large" || "ml.t2.xlarge" || "ml.t2.2xlarge" || "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "ml.m5d.large" || "ml.m5d.xlarge" || "ml.m5d.2xlarge" || "ml.m5d.4xlarge" || "ml.m5d.12xlarge" || "ml.m5d.24xlarge" || "ml.c4.large" || "ml.c4.xlarge" || "ml.c4.2xlarge" || "ml.c4.4xlarge" || "ml.c4.8xlarge" || "ml.p2.xlarge" || "ml.p2.8xlarge" || "ml.p2.16xlarge" || "ml.p3.2xlarge" || "ml.p3.8xlarge" || "ml.p3.16xlarge" || "ml.c5.large" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5d.large" || "ml.c5d.xlarge" || "ml.c5d.2xlarge" || "ml.c5d.4xlarge" || "ml.c5d.9xlarge" || "ml.c5d.18xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.12xlarge" || "ml.r5.24xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.12xlarge" || "ml.r5d.24xlarge" || "ml.inf1.xlarge" || "ml.inf1.2xlarge" || "ml.inf1.6xlarge" || "ml.inf1.24xlarge" || "ml.c6i.large" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.4xlarge" || "ml.c6i.8xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.12xlarge" || "ml.g5.16xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.p4d.24xlarge" || "ml.c7g.large" || "ml.c7g.xlarge" || "ml.c7g.2xlarge" || "ml.c7g.4xlarge" || "ml.c7g.8xlarge" || "ml.c7g.12xlarge" || "ml.c7g.16xlarge" || "ml.m6g.large" || "ml.m6g.xlarge" || "ml.m6g.2xlarge" || "ml.m6g.4xlarge" || "ml.m6g.8xlarge" || "ml.m6g.12xlarge" || "ml.m6g.16xlarge" || "ml.m6gd.large" || "ml.m6gd.xlarge" || "ml.m6gd.2xlarge" || "ml.m6gd.4xlarge" || "ml.m6gd.8xlarge" || "ml.m6gd.12xlarge" || "ml.m6gd.16xlarge" || "ml.c6g.large" || "ml.c6g.xlarge" || "ml.c6g.2xlarge" || "ml.c6g.4xlarge" || "ml.c6g.8xlarge" || "ml.c6g.12xlarge" || "ml.c6g.16xlarge" || "ml.c6gd.large" || "ml.c6gd.xlarge" || "ml.c6gd.2xlarge" || "ml.c6gd.4xlarge" || "ml.c6gd.8xlarge" || "ml.c6gd.12xlarge" || "ml.c6gd.16xlarge" || "ml.c6gn.large" || "ml.c6gn.xlarge" || "ml.c6gn.2xlarge" || "ml.c6gn.4xlarge" || "ml.c6gn.8xlarge" || "ml.c6gn.12xlarge" || "ml.c6gn.16xlarge" || "ml.r6g.large" || "ml.r6g.xlarge" || "ml.r6g.2xlarge" || "ml.r6g.4xlarge" || "ml.r6g.8xlarge" || "ml.r6g.12xlarge" || "ml.r6g.16xlarge" || "ml.r6gd.large" || "ml.r6gd.xlarge" || "ml.r6gd.2xlarge" || "ml.r6gd.4xlarge" || "ml.r6gd.8xlarge" || "ml.r6gd.12xlarge" || "ml.r6gd.16xlarge" || "ml.p4de.24xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.inf2.xlarge" || "ml.inf2.8xlarge" || "ml.inf2.24xlarge" || "ml.inf2.48xlarge" || "ml.p5.48xlarge", * // ], - * // SupportedContentTypes: [ // ContentTypes // required + * // SupportedContentTypes: [ // ContentTypes * // "STRING_VALUE", * // ], - * // SupportedResponseMIMETypes: [ // ResponseMIMETypes // required + * // SupportedResponseMIMETypes: [ // ResponseMIMETypes * // "STRING_VALUE", * // ], * // }, diff --git a/clients/client-sagemaker/src/models/models_0.ts b/clients/client-sagemaker/src/models/models_0.ts index 2dee50a056f9..88b9d36e6338 100644 --- a/clients/client-sagemaker/src/models/models_0.ts +++ b/clients/client-sagemaker/src/models/models_0.ts @@ -5681,7 +5681,7 @@ export interface AutoMLJobObjective { * Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a * default objective metric, the cross-entropy loss. After fine-tuning a language model, * you can evaluate the quality of its generated text using different metrics. - * For a list of the available metrics, see Metrics for + * For a list of the available metrics, see Metrics for * fine-tuning LLMs in Autopilot.
* * @@ -6069,7 +6069,7 @@ export interface TextGenerationJobConfig { /** * @public *The name of the base model to fine-tune. Autopilot supports fine-tuning a variety of large
- * language models. For information on the list of supported models, see Text generation models supporting fine-tuning in Autopilot. If no
+ * language models. For information on the list of supported models, see Text generation models supporting fine-tuning in Autopilot. If no
* BaseModelName
is provided, the default model used is Falcon-7B-Instruct.
*
The supported MIME types for the input data.
*/ - SupportedContentTypes: string[] | undefined; + SupportedContentTypes?: string[]; /** * @public *The supported MIME types for the output data.
*/ - SupportedResponseMIMETypes: string[] | undefined; + SupportedResponseMIMETypes?: string[]; } /** @@ -10140,7 +10140,7 @@ export interface CreateAutoMLJobV2Request { * Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a * default objective metric, the cross-entropy loss. After fine-tuning a language model, * you can evaluate the quality of its generated text using different metrics. - * For a list of the available metrics, see Metrics for + * For a list of the available metrics, see Metrics for * fine-tuning LLMs in Autopilot. * * diff --git a/codegen/sdk-codegen/aws-models/sagemaker.json b/codegen/sdk-codegen/aws-models/sagemaker.json index 6ece6bc8071a..afc88187d9f2 100644 --- a/codegen/sdk-codegen/aws-models/sagemaker.json +++ b/codegen/sdk-codegen/aws-models/sagemaker.json @@ -2790,7 +2790,7 @@ "target": "com.amazonaws.sagemaker#AutoMLMetricEnum", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The name of the objective metric used to measure the predictive quality of a machine\n learning system. During training, the model's parameters are updated iteratively to\n optimize its performance based on the feedback provided by the objective metric when\n evaluating the model on the validation dataset.
\nThe list of available metrics supported by Autopilot and the default metric applied when you\n do not specify a metric name explicitly depend on the problem type.
\nFor tabular problem types:
\nList of available metrics:
\n Regression: InferenceLatency
, MAE
,\n MSE
, R2
, RMSE
\n
Binary classification: Accuracy
, AUC
,\n BalancedAccuracy
, F1
,\n InferenceLatency
, LogLoss
,\n Precision
, Recall
\n
Multiclass classification: Accuracy
,\n BalancedAccuracy
, F1macro
,\n InferenceLatency
, LogLoss
,\n PrecisionMacro
, RecallMacro
\n
For a description of each metric, see Autopilot metrics for classification and regression.
\nDefault objective metrics:
\nRegression: MSE
.
Binary classification: F1
.
Multiclass classification: Accuracy
.
For image or text classification problem types:
\nList of available metrics: Accuracy
\n
For a description of each metric, see Autopilot metrics for text and image classification.
\nDefault objective metrics: Accuracy
\n
For time-series forecasting problem types:
\nList of available metrics: RMSE
, wQL
,\n Average wQL
, MASE
, MAPE
,\n WAPE
\n
For a description of each metric, see Autopilot metrics for\n time-series forecasting.
\nDefault objective metrics: AverageWeightedQuantileLoss
\n
For text generation problem types (LLMs fine-tuning): \n Fine-tuning language models in Autopilot does not\n require setting the AutoMLJobObjective
field. Autopilot fine-tunes LLMs\n without requiring multiple candidates to be trained and evaluated. \n Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a\n default objective metric, the cross-entropy loss. After fine-tuning a language model,\n you can evaluate the quality of its generated text using different metrics. \n For a list of the available metrics, see Metrics for\n fine-tuning LLMs in Autopilot.
The name of the objective metric used to measure the predictive quality of a machine\n learning system. During training, the model's parameters are updated iteratively to\n optimize its performance based on the feedback provided by the objective metric when\n evaluating the model on the validation dataset.
\nThe list of available metrics supported by Autopilot and the default metric applied when you\n do not specify a metric name explicitly depend on the problem type.
\nFor tabular problem types:
\nList of available metrics:
\n Regression: InferenceLatency
, MAE
,\n MSE
, R2
, RMSE
\n
Binary classification: Accuracy
, AUC
,\n BalancedAccuracy
, F1
,\n InferenceLatency
, LogLoss
,\n Precision
, Recall
\n
Multiclass classification: Accuracy
,\n BalancedAccuracy
, F1macro
,\n InferenceLatency
, LogLoss
,\n PrecisionMacro
, RecallMacro
\n
For a description of each metric, see Autopilot metrics for classification and regression.
\nDefault objective metrics:
\nRegression: MSE
.
Binary classification: F1
.
Multiclass classification: Accuracy
.
For image or text classification problem types:
\nList of available metrics: Accuracy
\n
For a description of each metric, see Autopilot metrics for text and image classification.
\nDefault objective metrics: Accuracy
\n
For time-series forecasting problem types:
\nList of available metrics: RMSE
, wQL
,\n Average wQL
, MASE
, MAPE
,\n WAPE
\n
For a description of each metric, see Autopilot metrics for\n time-series forecasting.
\nDefault objective metrics: AverageWeightedQuantileLoss
\n
For text generation problem types (LLMs fine-tuning): \n Fine-tuning language models in Autopilot does not\n require setting the AutoMLJobObjective
field. Autopilot fine-tunes LLMs\n without requiring multiple candidates to be trained and evaluated. \n Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a\n default objective metric, the cross-entropy loss. After fine-tuning a language model,\n you can evaluate the quality of its generated text using different metrics. \n For a list of the available metrics, see Metrics for\n fine-tuning LLMs in Autopilot.
Specifies a metric to minimize or maximize as the objective of a job. If not specified,\n the default objective metric depends on the problem type. For the list of default values\n per problem type, see AutoMLJobObjective.
\nFor tabular problem types: You must either provide both the\n AutoMLJobObjective
and indicate the type of supervised learning\n problem in AutoMLProblemTypeConfig
\n (TabularJobConfig.ProblemType
), or none at all.
For text generation problem types (LLMs fine-tuning): \n Fine-tuning language models in Autopilot does not\n require setting the AutoMLJobObjective
field. Autopilot fine-tunes LLMs\n without requiring multiple candidates to be trained and evaluated. \n Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a\n default objective metric, the cross-entropy loss. After fine-tuning a language model,\n you can evaluate the quality of its generated text using different metrics. \n For a list of the available metrics, see Metrics for\n fine-tuning LLMs in Autopilot.
Specifies a metric to minimize or maximize as the objective of a job. If not specified,\n the default objective metric depends on the problem type. For the list of default values\n per problem type, see AutoMLJobObjective.
\nFor tabular problem types: You must either provide both the\n AutoMLJobObjective
and indicate the type of supervised learning\n problem in AutoMLProblemTypeConfig
\n (TabularJobConfig.ProblemType
), or none at all.
For text generation problem types (LLMs fine-tuning): \n Fine-tuning language models in Autopilot does not\n require setting the AutoMLJobObjective
field. Autopilot fine-tunes LLMs\n without requiring multiple candidates to be trained and evaluated. \n Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a\n default objective metric, the cross-entropy loss. After fine-tuning a language model,\n you can evaluate the quality of its generated text using different metrics. \n For a list of the available metrics, see Metrics for\n fine-tuning LLMs in Autopilot.
The supported MIME types for the input data.
", - "smithy.api#required": {} + "smithy.api#documentation": "The supported MIME types for the input data.
" } }, "SupportedResponseMIMETypes": { "target": "com.amazonaws.sagemaker#ResponseMIMETypes", "traits": { - "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The supported MIME types for the output data.
", - "smithy.api#required": {} + "smithy.api#documentation": "The supported MIME types for the output data.
" } } }, @@ -55747,7 +55743,7 @@ "BaseModelName": { "target": "com.amazonaws.sagemaker#BaseModelName", "traits": { - "smithy.api#documentation": "The name of the base model to fine-tune. Autopilot supports fine-tuning a variety of large\n language models. For information on the list of supported models, see Text generation models supporting fine-tuning in Autopilot. If no\n BaseModelName
is provided, the default model used is Falcon-7B-Instruct.\n
The name of the base model to fine-tune. Autopilot supports fine-tuning a variety of large\n language models. For information on the list of supported models, see Text generation models supporting fine-tuning in Autopilot. If no\n BaseModelName
is provided, the default model used is Falcon-7B-Instruct.\n