Creates a Git repository as a resource in your SageMaker account. You can associate the - * repository with notebook instances so that you can use Git source control for the - * notebooks you create. The Git repository is a resource in your SageMaker account, so it can - * be associated with more than one notebook instance, and it persists independently from - * the lifecycle of any notebook instances it is associated with.
+ *Creates a Git repository as a resource in your SageMaker account. You can + * associate the repository with notebook instances so that you can use Git source control + * for the notebooks you create. The Git repository is a resource in your SageMaker + * account, so it can be associated with more than one notebook instance, and it persists + * independently from the lifecycle of any notebook instances it is associated with.
*The repository can be hosted either in Amazon Web Services CodeCommit - * or in any other Git repository.
+ * or in any other Git repository. * @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/CreateHyperParameterTuningJobCommand.ts b/clients/client-sagemaker/src/commands/CreateHyperParameterTuningJobCommand.ts index 902fbbad1d8d..98e06c22f3a8 100644 --- a/clients/client-sagemaker/src/commands/CreateHyperParameterTuningJobCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateHyperParameterTuningJobCommand.ts @@ -215,28 +215,28 @@ export interface CreateHyperParameterTuningJobCommandOutput * CompressionType: "GZIP" || "NONE", * }, * ResourceConfig: { // ResourceConfig - * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", + * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", * InstanceCount: Number("int"), * VolumeSizeInGB: Number("int"), // required * VolumeKmsKeyId: "STRING_VALUE", * KeepAlivePeriodInSeconds: Number("int"), * InstanceGroups: [ // InstanceGroups * { // InstanceGroup - * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required + * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required * InstanceCount: Number("int"), // required * InstanceGroupName: "STRING_VALUE", // required * }, * ], * }, * HyperParameterTuningResourceConfig: { // HyperParameterTuningResourceConfig - * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", + * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", * InstanceCount: Number("int"), * VolumeSizeInGB: Number("int"), * VolumeKmsKeyId: "STRING_VALUE", * AllocationStrategy: "Prioritized", * InstanceConfigs: [ // HyperParameterTuningInstanceConfigs * { // HyperParameterTuningInstanceConfig - * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required + * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required * InstanceCount: Number("int"), // required * VolumeSizeInGB: Number("int"), // required * }, @@ -360,28 +360,28 @@ export interface CreateHyperParameterTuningJobCommandOutput * CompressionType: "GZIP" || "NONE", * }, * ResourceConfig: { - * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", + * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", * InstanceCount: Number("int"), * VolumeSizeInGB: Number("int"), // required * VolumeKmsKeyId: "STRING_VALUE", * KeepAlivePeriodInSeconds: Number("int"), * InstanceGroups: [ * { - * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required + * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required * InstanceCount: Number("int"), // required * InstanceGroupName: "STRING_VALUE", // required * }, * ], * }, * HyperParameterTuningResourceConfig: { - * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", + * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", * InstanceCount: Number("int"), * VolumeSizeInGB: Number("int"), * VolumeKmsKeyId: "STRING_VALUE", * AllocationStrategy: "Prioritized", * InstanceConfigs: [ * { - * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required + * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required * InstanceCount: Number("int"), // required * VolumeSizeInGB: Number("int"), // required * }, diff --git a/clients/client-sagemaker/src/commands/CreateNotebookInstanceCommand.ts b/clients/client-sagemaker/src/commands/CreateNotebookInstanceCommand.ts index f185032a2a6a..d9af73c5c70f 100644 --- a/clients/client-sagemaker/src/commands/CreateNotebookInstanceCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateNotebookInstanceCommand.ts @@ -28,40 +28,41 @@ export interface CreateNotebookInstanceCommandInput extends CreateNotebookInstan export interface CreateNotebookInstanceCommandOutput extends CreateNotebookInstanceOutput, __MetadataBearer {} /** - *Creates an SageMaker notebook instance. A notebook instance is a machine learning (ML) - * compute instance running on a Jupyter notebook.
+ *Creates an SageMaker notebook instance. A notebook instance is a machine + * learning (ML) compute instance running on a Jupyter notebook.
*In a CreateNotebookInstance request, specify the type of ML compute
- * instance that you want to run. SageMaker launches the instance, installs common libraries
- * that you can use to explore datasets for model training, and attaches an ML storage
- * volume to the notebook instance.
SageMaker also provides a set of example notebooks. Each notebook demonstrates how to - * use SageMaker with a specific algorithm or with a machine learning framework.
+ * instance that you want to run. SageMaker launches the instance, installs common + * libraries that you can use to explore datasets for model training, and attaches an ML + * storage volume to the notebook instance. + *SageMaker also provides a set of example notebooks. Each notebook + * demonstrates how to use SageMaker with a specific algorithm or with a machine + * learning framework.
*After receiving the request, SageMaker does the following:
*Creates a network interface in the SageMaker VPC.
*(Option) If you specified SubnetId, SageMaker creates a network
- * interface in your own VPC, which is inferred from the subnet ID that you provide
- * in the input. When creating this network interface, SageMaker attaches the security
- * group that you specified in the request to the network interface that it creates
- * in your VPC.
(Option) If you specified SubnetId, SageMaker creates
+ * a network interface in your own VPC, which is inferred from the subnet ID that
+ * you provide in the input. When creating this network interface, SageMaker attaches the security group that you specified in the request to the network
+ * interface that it creates in your VPC.
Launches an EC2 instance of the type specified in the request in the SageMaker
- * VPC. If you specified SubnetId of your VPC, SageMaker specifies both
- * network interfaces when launching this instance. This enables inbound traffic
- * from your own VPC to the notebook instance, assuming that the security groups
- * allow it.
Launches an EC2 instance of the type specified in the request in the
+ * SageMaker VPC. If you specified SubnetId of your VPC,
+ * SageMaker specifies both network interfaces when launching this
+ * instance. This enables inbound traffic from your own VPC to the notebook
+ * instance, assuming that the security groups allow it.
After creating the notebook instance, SageMaker returns its Amazon Resource Name (ARN). - * You can't change the name of a notebook instance after you create it.
- *After SageMaker creates the notebook instance, you can connect to the Jupyter server and - * work in Jupyter notebooks. For example, you can write code to explore a dataset that you - * can use for model training, train a model, host models by creating SageMaker endpoints, and - * validate hosted models.
+ *After creating the notebook instance, SageMaker returns its Amazon Resource + * Name (ARN). You can't change the name of a notebook instance after you create + * it.
+ *After SageMaker creates the notebook instance, you can connect to the + * Jupyter server and work in Jupyter notebooks. For example, you can write code to explore + * a dataset that you can use for model training, train a model, host models by creating + * SageMaker endpoints, and validate hosted models.
*For more information, see How It Works.
* @example * Use a bare-bones client and the command you need to make an API call. diff --git a/clients/client-sagemaker/src/commands/CreateNotebookInstanceLifecycleConfigCommand.ts b/clients/client-sagemaker/src/commands/CreateNotebookInstanceLifecycleConfigCommand.ts index 6f0aac93e030..92769c852134 100644 --- a/clients/client-sagemaker/src/commands/CreateNotebookInstanceLifecycleConfigCommand.ts +++ b/clients/client-sagemaker/src/commands/CreateNotebookInstanceLifecycleConfigCommand.ts @@ -37,19 +37,19 @@ export interface CreateNotebookInstanceLifecycleConfigCommandOutput /** *Creates a lifecycle configuration that you can associate with a notebook instance. A - * lifecycle configuration is a collection of shell scripts that - * run when you create or start a notebook instance.
+ * lifecycle configuration is a collection of shell scripts that + * run when you create or start a notebook instance. *Each lifecycle configuration script has a limit of 16384 characters.
*The value of the $PATH environment variable that is available to both
- * scripts is /sbin:bin:/usr/sbin:/usr/bin.
View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log group
- * /aws/sagemaker/NotebookInstances in log stream
- * [notebook-instance-name]/[LifecycleConfigHook].
/sbin:bin:/usr/sbin:/usr/bin.
+ * View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log
+ * group /aws/sagemaker/NotebookInstances in log stream
+ * [notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs - * for longer than 5 minutes, it fails and the notebook instance is not created or - * started.
+ * for longer than 5 minutes, it fails and the notebook instance is not created or + * started. *For information about notebook instance lifestyle configurations, see Step - * 2.1: (Optional) Customize a Notebook Instance.
+ * 2.1: (Optional) Customize a Notebook Instance. * @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/CreatePresignedNotebookInstanceUrlCommand.ts b/clients/client-sagemaker/src/commands/CreatePresignedNotebookInstanceUrlCommand.ts index a3232caa626f..6f9979b0136e 100644 --- a/clients/client-sagemaker/src/commands/CreatePresignedNotebookInstanceUrlCommand.ts +++ b/clients/client-sagemaker/src/commands/CreatePresignedNotebookInstanceUrlCommand.ts @@ -34,14 +34,15 @@ export interface CreatePresignedNotebookInstanceUrlCommandOutput /** *Returns a URL that you can use to connect to the Jupyter server from a notebook
- * instance. In the SageMaker console, when you choose Open next to a notebook
- * instance, SageMaker opens a new tab showing the Jupyter server home page from the notebook
- * instance. The console uses this API to get the URL and show the page.
The IAM role or user used to call this API defines the permissions to access the - * notebook instance. Once the presigned URL is created, no additional permission is - * required to access this URL. IAM authorization policies for this API are also enforced - * for every HTTP request and WebSocket frame that attempts to connect to the notebook - * instance.
+ * instance. In the SageMaker console, when you chooseOpen next to a
+ * notebook instance, SageMaker opens a new tab showing the Jupyter server home
+ * page from the notebook instance. The console uses this API to get the URL and show the
+ * page.
+ * The IAM role or user used to call this API defines the permissions to + * access the notebook instance. Once the presigned URL is created, no additional + * permission is required to access this URL. IAM authorization policies for + * this API are also enforced for every HTTP request and WebSocket frame that attempts to + * connect to the notebook instance.
*You can restrict access to this API and to the URL that it returns to a list of IP
* addresses that you specify. Use the NotIpAddress condition operator and the
* aws:SourceIP condition context key to specify the list of IP addresses
diff --git a/clients/client-sagemaker/src/commands/CreateTrainingJobCommand.ts b/clients/client-sagemaker/src/commands/CreateTrainingJobCommand.ts
index d8e8901f29b8..b87dd44a965b 100644
--- a/clients/client-sagemaker/src/commands/CreateTrainingJobCommand.ts
+++ b/clients/client-sagemaker/src/commands/CreateTrainingJobCommand.ts
@@ -179,14 +179,14 @@ export interface CreateTrainingJobCommandOutput extends CreateTrainingJobRespons
* CompressionType: "GZIP" || "NONE",
* },
* ResourceConfig: { // ResourceConfig
- * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge",
+ * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge",
* InstanceCount: Number("int"),
* VolumeSizeInGB: Number("int"), // required
* VolumeKmsKeyId: "STRING_VALUE",
* KeepAlivePeriodInSeconds: Number("int"),
* InstanceGroups: [ // InstanceGroups
* { // InstanceGroup
- * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required
+ * InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required
* InstanceCount: Number("int"), // required
* InstanceGroupName: "STRING_VALUE", // required
* },
diff --git a/clients/client-sagemaker/src/commands/DeleteNotebookInstanceCommand.ts b/clients/client-sagemaker/src/commands/DeleteNotebookInstanceCommand.ts
index b6b6cf602dea..9b4e62d8decc 100644
--- a/clients/client-sagemaker/src/commands/DeleteNotebookInstanceCommand.ts
+++ b/clients/client-sagemaker/src/commands/DeleteNotebookInstanceCommand.ts
@@ -28,12 +28,11 @@ export interface DeleteNotebookInstanceCommandInput extends DeleteNotebookInstan
export interface DeleteNotebookInstanceCommandOutput extends __MetadataBearer {}
/**
- *
Deletes an SageMaker notebook instance. Before you can delete a notebook instance, you
- * must call the StopNotebookInstance API.
Deletes an SageMaker notebook instance. Before you can delete a notebook
+ * instance, you must call the StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. SageMaker removes - * the ML compute instance, and deletes the ML storage volume and the network interface - * associated with the notebook instance.
+ *When you delete a notebook instance, you lose all of your data. SageMaker removes the ML compute instance, and deletes the ML storage volume and the + * network interface associated with the notebook instance.
*Returns a description of a notebook instance lifecycle configuration.
*For information about notebook instance lifestyle configurations, see Step - * 2.1: (Optional) Customize a Notebook Instance.
+ * 2.1: (Optional) Customize a Notebook Instance. * @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/DescribeTrainingJobCommand.ts b/clients/client-sagemaker/src/commands/DescribeTrainingJobCommand.ts index 1c85e1b422ef..ed5b5637bc1b 100644 --- a/clients/client-sagemaker/src/commands/DescribeTrainingJobCommand.ts +++ b/clients/client-sagemaker/src/commands/DescribeTrainingJobCommand.ts @@ -123,14 +123,14 @@ export interface DescribeTrainingJobCommandOutput extends DescribeTrainingJobRes * // CompressionType: "GZIP" || "NONE", * // }, * // ResourceConfig: { // ResourceConfig - * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", + * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", * // InstanceCount: Number("int"), * // VolumeSizeInGB: Number("int"), // required * // VolumeKmsKeyId: "STRING_VALUE", * // KeepAlivePeriodInSeconds: Number("int"), * // InstanceGroups: [ // InstanceGroups * // { // InstanceGroup - * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required + * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required * // InstanceCount: Number("int"), // required * // InstanceGroupName: "STRING_VALUE", // required * // }, diff --git a/clients/client-sagemaker/src/commands/ListNotebookInstancesCommand.ts b/clients/client-sagemaker/src/commands/ListNotebookInstancesCommand.ts index 520bd7cc8f93..52226bf335d6 100644 --- a/clients/client-sagemaker/src/commands/ListNotebookInstancesCommand.ts +++ b/clients/client-sagemaker/src/commands/ListNotebookInstancesCommand.ts @@ -28,8 +28,8 @@ export interface ListNotebookInstancesCommandInput extends ListNotebookInstances export interface ListNotebookInstancesCommandOutput extends ListNotebookInstancesOutput, __MetadataBearer {} /** - *Returns a list of the SageMaker notebook instances in the requester's account in an - * Amazon Web Services Region.
+ *Returns a list of the SageMaker notebook instances in the requester's + * account in an Amazon Web Services Region.
* @example * Use a bare-bones client and the command you need to make an API call. * ```javascript diff --git a/clients/client-sagemaker/src/commands/SearchCommand.ts b/clients/client-sagemaker/src/commands/SearchCommand.ts index f8bea41a8cde..fd7052002217 100644 --- a/clients/client-sagemaker/src/commands/SearchCommand.ts +++ b/clients/client-sagemaker/src/commands/SearchCommand.ts @@ -184,14 +184,14 @@ export interface SearchCommandOutput extends SearchResponse, __MetadataBearer {} * // CompressionType: "GZIP" || "NONE", * // }, * // ResourceConfig: { // ResourceConfig - * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", + * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", * // InstanceCount: Number("int"), * // VolumeSizeInGB: Number("int"), // required * // VolumeKmsKeyId: "STRING_VALUE", * // KeepAlivePeriodInSeconds: Number("int"), * // InstanceGroups: [ // InstanceGroups * // { // InstanceGroup - * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required + * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required * // InstanceCount: Number("int"), // required * // InstanceGroupName: "STRING_VALUE", // required * // }, @@ -543,14 +543,14 @@ export interface SearchCommandOutput extends SearchResponse, __MetadataBearer {} * // CompressionType: "GZIP" || "NONE", * // }, * // ResourceConfig: { - * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", + * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", * // InstanceCount: Number("int"), * // VolumeSizeInGB: Number("int"), // required * // VolumeKmsKeyId: "STRING_VALUE", * // KeepAlivePeriodInSeconds: Number("int"), * // InstanceGroups: [ * // { - * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required + * // InstanceType: "ml.m4.xlarge" || "ml.m4.2xlarge" || "ml.m4.4xlarge" || "ml.m4.10xlarge" || "ml.m4.16xlarge" || "ml.g4dn.xlarge" || "ml.g4dn.2xlarge" || "ml.g4dn.4xlarge" || "ml.g4dn.8xlarge" || "ml.g4dn.12xlarge" || "ml.g4dn.16xlarge" || "ml.m5.large" || "ml.m5.xlarge" || "ml.m5.2xlarge" || "ml.m5.4xlarge" || "ml.m5.12xlarge" || "ml.m5.24xlarge" || "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.p3dn.24xlarge" || "ml.p4d.24xlarge" || "ml.p4de.24xlarge" || "ml.p5.48xlarge" || "ml.p5e.48xlarge" || "ml.p5en.48xlarge" || "ml.c5.xlarge" || "ml.c5.2xlarge" || "ml.c5.4xlarge" || "ml.c5.9xlarge" || "ml.c5.18xlarge" || "ml.c5n.xlarge" || "ml.c5n.2xlarge" || "ml.c5n.4xlarge" || "ml.c5n.9xlarge" || "ml.c5n.18xlarge" || "ml.g5.xlarge" || "ml.g5.2xlarge" || "ml.g5.4xlarge" || "ml.g5.8xlarge" || "ml.g5.16xlarge" || "ml.g5.12xlarge" || "ml.g5.24xlarge" || "ml.g5.48xlarge" || "ml.trn1.2xlarge" || "ml.trn1.32xlarge" || "ml.trn1n.32xlarge" || "ml.trn2.48xlarge" || "ml.m6i.large" || "ml.m6i.xlarge" || "ml.m6i.2xlarge" || "ml.m6i.4xlarge" || "ml.m6i.8xlarge" || "ml.m6i.12xlarge" || "ml.m6i.16xlarge" || "ml.m6i.24xlarge" || "ml.m6i.32xlarge" || "ml.c6i.xlarge" || "ml.c6i.2xlarge" || "ml.c6i.8xlarge" || "ml.c6i.4xlarge" || "ml.c6i.12xlarge" || "ml.c6i.16xlarge" || "ml.c6i.24xlarge" || "ml.c6i.32xlarge" || "ml.r5d.large" || "ml.r5d.xlarge" || "ml.r5d.2xlarge" || "ml.r5d.4xlarge" || "ml.r5d.8xlarge" || "ml.r5d.12xlarge" || "ml.r5d.16xlarge" || "ml.r5d.24xlarge" || "ml.t3.medium" || "ml.t3.large" || "ml.t3.xlarge" || "ml.t3.2xlarge" || "ml.r5.large" || "ml.r5.xlarge" || "ml.r5.2xlarge" || "ml.r5.4xlarge" || "ml.r5.8xlarge" || "ml.r5.12xlarge" || "ml.r5.16xlarge" || "ml.r5.24xlarge", // required * // InstanceCount: Number("int"), // required * // InstanceGroupName: "STRING_VALUE", // required * // }, @@ -1633,14 +1633,14 @@ export interface SearchCommandOutput extends SearchResponse, __MetadataBearer {} * // OutputDataConfig: "Launches an ML compute instance with the latest version of the libraries and
- * attaches your ML storage volume. After configuring the notebook instance, SageMaker sets the
- * notebook instance status to InService. A notebook instance's status must be
- * InService before you can connect to your Jupyter notebook.
InService. A notebook
+ * instance's status must be InService before you can connect to your Jupyter
+ * notebook.
* @example
* Use a bare-bones client and the command you need to make an API call.
* ```javascript
diff --git a/clients/client-sagemaker/src/commands/StopNotebookInstanceCommand.ts b/clients/client-sagemaker/src/commands/StopNotebookInstanceCommand.ts
index 7265e3ef2bdd..ea60a81ebe8e 100644
--- a/clients/client-sagemaker/src/commands/StopNotebookInstanceCommand.ts
+++ b/clients/client-sagemaker/src/commands/StopNotebookInstanceCommand.ts
@@ -28,10 +28,9 @@ export interface StopNotebookInstanceCommandInput extends StopNotebookInstanceIn
export interface StopNotebookInstanceCommandOutput extends __MetadataBearer {}
/**
- * Terminates the ML compute instance. Before terminating the instance, SageMaker
- * disconnects the ML storage volume from it. SageMaker preserves the ML storage volume. SageMaker
- * stops charging you for the ML compute instance when you call
- * StopNotebookInstance.
Terminates the ML compute instance. Before terminating the instance, SageMaker disconnects the ML storage volume from it. SageMaker preserves the
+ * ML storage volume. SageMaker stops charging you for the ML compute instance when
+ * you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been
* terminated, call the StartNotebookInstance API.
* StartNotebookInstance launches another ML compute instance, configures
diff --git a/clients/client-sagemaker/src/models/models_0.ts b/clients/client-sagemaker/src/models/models_0.ts
index a03e67d1ccae..a37dcb16bfa6 100644
--- a/clients/client-sagemaker/src/models/models_0.ts
+++ b/clients/client-sagemaker/src/models/models_0.ts
@@ -454,7 +454,8 @@ export interface S3ModelDataSource {
HubAccessConfig?: InferenceHubAccessConfig;
/**
- *
The Amazon S3 URI of the manifest file. The manifest file is a CSV file that stores the artifact locations.
+ *The Amazon S3 URI of the manifest file. The manifest file is a CSV file that stores the + * artifact locations.
* @public */ ManifestS3Uri?: string; @@ -1919,6 +1920,8 @@ export const TrainingInstanceType = { ML_P3_8XLARGE: "ml.p3.8xlarge", ML_P4DE_24XLARGE: "ml.p4de.24xlarge", ML_P4D_24XLARGE: "ml.p4d.24xlarge", + ML_P5EN_48XLARGE: "ml.p5en.48xlarge", + ML_P5E_48XLARGE: "ml.p5e.48xlarge", ML_P5_48XLARGE: "ml.p5.48xlarge", ML_R5D_12XLARGE: "ml.r5d.12xlarge", ML_R5D_16XLARGE: "ml.r5d.16xlarge", @@ -1943,6 +1946,7 @@ export const TrainingInstanceType = { ML_TRN1N_32XLARGE: "ml.trn1n.32xlarge", ML_TRN1_2XLARGE: "ml.trn1.2xlarge", ML_TRN1_32XLARGE: "ml.trn1.32xlarge", + ML_TRN2_48XLARGE: "ml.trn2.48xlarge", } as const; /** @@ -2716,17 +2720,13 @@ export interface AmazonQSettings { } /** - *Configures how labels are consolidated across human workers and processes output data. - *
+ *Configures how labels are consolidated across human workers and processes output data.
* @public */ export interface AnnotationConsolidationConfig { /** *The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.
- *This parameter is required for all labeling jobs. For built-in task types, use one
- * of the following Amazon SageMaker Ground Truth Lambda function ARNs for
- * AnnotationConsolidationLambdaArn. For custom labeling workflows, see
- * Post-annotation Lambda.
For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-annotation Lambda.
* Bounding box - Finds the most similar boxes from * different workers based on the Jaccard index of the boxes.
@@ -6267,7 +6267,8 @@ export type AutoMLMode = (typeof AutoMLMode)[keyof typeof AutoMLMode]; /** *Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources * have access to. You can control access to and from your resources by configuring a VPC. - * For more information, see Give SageMaker Access to Resources in your Amazon VPC.
+ * For more information, see Give SageMaker Access to + * Resources in your Amazon VPC. * @public */ export interface VpcConfig { @@ -10503,7 +10504,7 @@ export interface ContainerDefinition { /** *The environment variables to set in the Docker container. Don't include any - * sensitive data in your environment variables.
+ * sensitive data in your environment variables. *The maximum length of each key and value in the Environment map is
* 1024 bytes. The maximum length of all keys and values in the map, combined, is 32 KB. If
* you pass multiple containers to a CreateModel request, then the maximum
diff --git a/clients/client-sagemaker/src/models/models_1.ts b/clients/client-sagemaker/src/models/models_1.ts
index d6e60c38b0dc..14b5dadeb3ac 100644
--- a/clients/client-sagemaker/src/models/models_1.ts
+++ b/clients/client-sagemaker/src/models/models_1.ts
@@ -494,7 +494,8 @@ export interface CreateClusterRequest {
/**
*
Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources * have access to. You can control access to and from your resources by configuring a VPC. - * For more information, see Give SageMaker Access to Resources in your Amazon VPC.
+ * For more information, see Give SageMaker Access to + * Resources in your Amazon VPC. * @public */ VpcConfig?: VpcConfig; @@ -544,22 +545,22 @@ export interface CreateClusterResponse { export interface CreateCodeRepositoryInput { /** *The name of the Git repository. The name must have 1 to 63 characters. Valid - * characters are a-z, A-Z, 0-9, and - (hyphen).
+ * characters are a-z, A-Z, 0-9, and - (hyphen). * @public */ CodeRepositoryName: string | undefined; /** *Specifies details about the repository, including the URL where the repository is - * located, the default branch, and credentials to use to access the repository.
+ * located, the default branch, and credentials to use to access the repository. * @public */ GitConfig: GitConfig | undefined; /** *An array of key-value pairs. You can use tags to categorize your Amazon Web Services - * resources in different ways, for example, by purpose, owner, or environment. For more - * information, see Tagging Amazon Web Services Resources.
+ * resources in different ways, for example, by purpose, owner, or environment. For more + * information, see Tagging Amazon Web Services Resources. * @public */ Tags?: Tag[]; @@ -1274,34 +1275,6 @@ export interface OutputConfig { * * * - *
- * EIA: Compilation for the Elastic Inference Accelerator supports
- * the following compiler options:
- * precision_mode: Specifies the precision of compiled
- * artifacts. Supported values are "FP16" and
- * "FP32". Default is "FP32".
- * signature_def_key: Specifies the signature to use for
- * models in SavedModel format. Defaults is TensorFlow's default signature
- * def key.
- * output_names: Specifies a list of output tensor names for
- * models in FrozenGraph format. Set at most one API field, either:
- * signature_def_key or output_names.
For example: \{"precision_mode": "FP32", "output_names":
- * ["output:0"]\}
- *
Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources * have access to. You can control access to and from your resources by configuring a VPC. - * For more information, see Give SageMaker Access to Resources in your Amazon VPC.
+ * For more information, see Give SageMaker Access to + * Resources in your Amazon VPC. * @public */ VpcConfig?: VpcConfig; @@ -2162,7 +2136,7 @@ export interface CreateDeviceFleetRequest { /** *The settings for assigning a custom Amazon EFS file system to a user profile - * or space for an Amazon SageMaker Domain.
+ * or space for an Amazon SageMaker Domain. * @public */ export interface EFSFileSystemConfig { @@ -2174,7 +2148,7 @@ export interface EFSFileSystemConfig { /** *The path to the file system directory that is accessible in Amazon SageMaker - * Studio. Permitted users can access only this directory and below.
+ * Studio. Permitted users can access only this directory and below. * @public */ FileSystemPath?: string; @@ -2182,7 +2156,7 @@ export interface EFSFileSystemConfig { /** *The settings for assigning a custom file system to a user profile or space for an - * Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker Studio.
+ * Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker Studio. * @public */ export type CustomFileSystemConfig = @@ -2421,7 +2395,8 @@ export interface DefaultSpaceStorageSettings { } /** - *A collection of settings that apply to spaces created in the domain.
+ *The default settings for shared spaces that users create in the domain.
+ *SageMaker applies these settings only to shared spaces. It doesn't apply them to private spaces.
* @public */ export interface DefaultSpaceSettings { @@ -2732,6 +2707,7 @@ export interface TensorBoardAppSettings { export interface UserSettings { /** *The execution role for the user.
+ *SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn't apply this setting to shared spaces.
* @public */ ExecutionRole?: string; @@ -2746,6 +2722,7 @@ export interface UserSettings { * the domain. *Amazon SageMaker adds a security group to allow NFS traffic from Amazon SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the * maximum number shown.
+ *SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
* @public */ SecurityGroups?: string[]; @@ -2789,24 +2766,28 @@ export interface UserSettings { /** *The Canvas app settings.
+ *SageMaker applies these settings only to private spaces that SageMaker creates for the Canvas app.
* @public */ CanvasAppSettings?: CanvasAppSettings; /** *The Code Editor application settings.
+ *SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
* @public */ CodeEditorAppSettings?: CodeEditorAppSettings; /** *The settings for the JupyterLab application.
+ *SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
* @public */ JupyterLabAppSettings?: JupyterLabAppSettings; /** *The storage settings for a space.
+ *SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
* @public */ SpaceStorageSettings?: DefaultSpaceStorageSettings; @@ -2839,13 +2820,15 @@ export interface UserSettings { /** *Details about the POSIX identity that is used for file system operations.
+ *SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
* @public */ CustomPosixUserConfig?: CustomPosixUserConfig; /** *The settings for assigning a custom file system to a user profile. Permitted users can - * access this file system in Amazon SageMaker Studio.
+ * access this file system in Amazon SageMaker Studio. + *SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
* @public */ CustomFileSystemConfigs?: CustomFileSystemConfig[]; @@ -2861,6 +2844,7 @@ export interface UserSettings { *Indicates whether auto-mounting of an EFS volume is supported for the user profile. The
* DefaultAsDomain value is only supported for user profiles. Do not use the
* DefaultAsDomain value when setting this parameter for a domain.
SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn't apply this setting to shared spaces.
* @public */ AutoMountHomeEFS?: AutoMountHomeEFS; @@ -3094,7 +3078,7 @@ export interface CreateDomainRequest { TagPropagation?: TagPropagation; /** - *The default settings used to create a space.
+ *The default settings for shared spaces that users create in the domain.
* @public */ DefaultSpaceSettings?: DefaultSpaceSettings; @@ -3793,10 +3777,10 @@ export interface ProductionVariant { InitialVariantWeight?: number; /** - *The size of the Elastic Inference (EI) instance to use for the production variant. EI - * instances provide on-demand GPU computing for inference. For more information, see - * Using Elastic - * Inference in Amazon SageMaker.
+ *This parameter is no longer supported. Elastic Inference (EI) is no longer + * available.
+ *This parameter was used to specify the size of the EI instance to use for the + * production variant.
* @public */ AcceleratorType?: ProductionVariantAcceleratorType; @@ -4010,7 +3994,8 @@ export interface CreateEndpointConfigInput { /** *Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources * have access to. You can control access to and from your resources by configuring a VPC. - * For more information, see Give SageMaker Access to Resources in your Amazon VPC.
+ * For more information, see Give SageMaker Access to + * Resources in your Amazon VPC. * @public */ VpcConfig?: VpcConfig; @@ -10040,7 +10025,8 @@ export interface LabelingJobResourceConfig { /** *Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources * have access to. You can control access to and from your resources by configuring a VPC. - * For more information, see Give SageMaker Access to Resources in your Amazon VPC.
+ * For more information, see Give SageMaker Access to + * Resources in your Amazon VPC. * @public */ VpcConfig?: VpcConfig; @@ -11965,7 +11951,8 @@ export interface NetworkConfig { /** *Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources * have access to. You can control access to and from your resources by configuring a VPC. - * For more information, see Give SageMaker Access to Resources in your Amazon VPC.
+ * For more information, see Give SageMaker Access to + * Resources in your Amazon VPC. * @public */ VpcConfig?: VpcConfig; @@ -12261,7 +12248,10 @@ export type DirectInternetAccess = (typeof DirectInternetAccess)[keyof typeof Di */ export interface InstanceMetadataServiceConfiguration { /** - *Indicates the minimum IMDS version that the notebook instance supports. When passed as part of CreateNotebookInstance, if no value is selected, then it defaults to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of UpdateNotebookInstance, there is no default.
Indicates the minimum IMDS version that the notebook instance supports. When passed as
+ * part of CreateNotebookInstance, if no value is selected, then it defaults
+ * to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of
+ * UpdateNotebookInstance, there is no default.
The ID of the subnet in a VPC to which you would like to have a connectivity from - * your ML compute instance.
+ * your ML compute instance. * @public */ SubnetId?: string; /** *The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be - * for the same VPC as specified in the subnet.
+ * for the same VPC as specified in the subnet. * @public */ SecurityGroupIds?: string[]; /** *When you send any requests to Amazon Web Services resources from the notebook - * instance, SageMaker assumes this role to perform tasks on your behalf. You must grant this - * role necessary permissions so SageMaker can perform these tasks. The policy must allow the - * SageMaker service principal (sagemaker.amazonaws.com) permissions to assume this role. For - * more information, see SageMaker Roles.
+ * instance, SageMaker assumes this role to perform tasks on your behalf. You must + * grant this role necessary permissions so SageMaker can perform these tasks. The + * policy must allow the SageMaker service principal (sagemaker.amazonaws.com) + * permissions to assume this role. For more information, see SageMaker Roles. *To be able to pass this role to SageMaker, the caller of this API must have the
- * iam:PassRole permission.
To be able to pass this role to SageMaker, the caller of this API must
+ * have the iam:PassRole permission.
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that - * SageMaker uses to encrypt data on the storage volume attached to your notebook instance. The - * KMS key you provide must be enabled. For information, see Enabling and Disabling - * Keys in the Amazon Web Services Key Management Service Developer - * Guide.
+ * SageMaker uses to encrypt data on the storage volume attached to your + * notebook instance. The KMS key you provide must be enabled. For information, see Enabling and + * Disabling Keys in the Amazon Web Services Key Management Service + * Developer Guide. * @public */ KmsKeyId?: string; /** *An array of key-value pairs. You can use tags to categorize your Amazon Web Services - * resources in different ways, for example, by purpose, owner, or environment. For more - * information, see Tagging Amazon Web Services Resources.
+ * resources in different ways, for example, by purpose, owner, or environment. For more + * information, see Tagging Amazon Web Services Resources. * @public */ Tags?: Tag[]; /** *The name of a lifecycle configuration to associate with the notebook instance. For - * information about lifestyle configurations, see Step 2.1: (Optional) - * Customize a Notebook Instance.
+ * information about lifestyle configurations, see Step 2.1: (Optional) + * Customize a Notebook Instance. * @public */ LifecycleConfigName?: string; /** - *Sets whether SageMaker provides internet access to the notebook instance. If you set this
- * to Disabled this notebook instance is able to access resources only in your
- * VPC, and is not be able to connect to SageMaker training and endpoint services unless you
- * configure a NAT Gateway in your VPC.
Sets whether SageMaker provides internet access to the notebook instance. If
+ * you set this to Disabled this notebook instance is able to access resources
+ * only in your VPC, and is not be able to connect to SageMaker training and
+ * endpoint services unless you configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default. You can set the value
- * of this parameter to Disabled only if you set a value for the
- * SubnetId parameter.
Disabled only if you set a value for the
+ * SubnetId parameter.
* @public
*/
DirectInternetAccess?: DirectInternetAccess;
/**
* The size, in GB, of the ML storage volume to attach to the notebook instance. The - * default value is 5 GB.
+ * default value is 5 GB. * @public */ VolumeSizeInGB?: number; /** - *A list of Elastic Inference (EI) instance types to associate with this notebook - * instance. Currently, only one instance type can be associated with a notebook instance. - * For more information, see Using Elastic Inference in Amazon SageMaker.
+ *This parameter is no longer supported. Elastic Inference (EI) is no longer + * available.
+ *This parameter was used to specify a list of EI instance types to associate with this + * notebook instance.
* @public */ AcceleratorTypes?: NotebookInstanceAcceleratorType[]; /** *A Git repository to associate with the notebook instance as its default code - * repository. This can be either the name of a Git repository stored as a resource in your - * account, or the URL of a Git repository in Amazon Web Services CodeCommit - * or in any other Git repository. When you open a notebook instance, it opens in the - * directory that contains this repository. For more information, see Associating Git - * Repositories with SageMaker Notebook Instances.
+ * repository. This can be either the name of a Git repository stored as a resource in your + * account, or the URL of a Git repository in Amazon Web Services CodeCommit + * or in any other Git repository. When you open a notebook instance, it opens in the + * directory that contains this repository. For more information, see Associating Git + * Repositories with SageMaker Notebook Instances. * @public */ DefaultCodeRepository?: string; /** *An array of up to three Git repositories to associate with the notebook instance. - * These can be either the names of Git repositories stored as resources in your account, - * or the URL of Git repositories in Amazon Web Services CodeCommit - * or in any other Git repository. These repositories are cloned at the same level as the - * default repository of your notebook instance. For more information, see Associating Git - * Repositories with SageMaker Notebook Instances.
+ * These can be either the names of Git repositories stored as resources in your account, + * or the URL of Git repositories in Amazon Web Services CodeCommit + * or in any other Git repository. These repositories are cloned at the same level as the + * default repository of your notebook instance. For more information, see Associating Git + * Repositories with SageMaker Notebook Instances. * @public */ AdditionalCodeRepositories?: string[]; /** *Whether root access is enabled or disabled for users of the notebook instance. The
- * default value is Enabled.
Enabled.
* Lifecycle configurations need root access to be able to set up a notebook - * instance. Because of this, lifecycle configurations associated with a notebook - * instance always run with root access even if you disable root access for - * users.
+ * instance. Because of this, lifecycle configurations associated with a notebook + * instance always run with root access even if you disable root access for + * users. *Contains the notebook instance lifecycle configuration script.
*Each lifecycle configuration script has a limit of 16384 characters.
*The value of the $PATH environment variable that is available to both
- * scripts is /sbin:bin:/usr/sbin:/usr/bin.
View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log group
- * /aws/sagemaker/NotebookInstances in log stream
- * [notebook-instance-name]/[LifecycleConfigHook].
/sbin:bin:/usr/sbin:/usr/bin.
+ * View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log
+ * group /aws/sagemaker/NotebookInstances in log stream
+ * [notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs - * for longer than 5 minutes, it fails and the notebook instance is not created or - * started.
+ * for longer than 5 minutes, it fails and the notebook instance is not created or + * started. *For information about notebook instance lifestyle configurations, see Step - * 2.1: (Optional) Customize a Notebook Instance.
+ * 2.1: (Optional) Customize a Notebook Instance. * @public */ export interface NotebookInstanceLifecycleHook { /** *A base64-encoded string that contains a shell script for a notebook instance lifecycle - * configuration.
+ * configuration. * @public */ Content?: string; @@ -12473,14 +12464,14 @@ export interface CreateNotebookInstanceLifecycleConfigInput { /** *A shell script that runs only once, when you create a notebook instance. The shell - * script must be a base64-encoded string.
+ * script must be a base64-encoded string. * @public */ OnCreate?: NotebookInstanceLifecycleHook[]; /** *A shell script that runs every time you start a notebook instance, including when you - * create the notebook instance. The shell script must be a base64-encoded string.
+ * create the notebook instance. The shell script must be a base64-encoded string. * @public */ OnStart?: NotebookInstanceLifecycleHook[]; diff --git a/clients/client-sagemaker/src/models/models_2.ts b/clients/client-sagemaker/src/models/models_2.ts index 570c297ab0f4..ec7fa44756cf 100644 --- a/clients/client-sagemaker/src/models/models_2.ts +++ b/clients/client-sagemaker/src/models/models_2.ts @@ -1071,8 +1071,8 @@ export interface SpaceCodeEditorAppSettings { /** *A file system, created by you in Amazon EFS, that you assign to a user profile - * or space for an Amazon SageMaker Domain. Permitted users can access this file - * system in Amazon SageMaker Studio.
+ * or space for an Amazon SageMaker Domain. Permitted users can access this file + * system in Amazon SageMaker Studio. * @public */ export interface EFSFileSystem { @@ -1085,7 +1085,7 @@ export interface EFSFileSystem { /** *A file system, created by you, that you assign to a user profile or space for an - * Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker Studio.
+ * Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker Studio. * @public */ export type CustomFileSystem = CustomFileSystem.EFSFileSystemMember | CustomFileSystem.$UnknownMember; @@ -1215,8 +1215,8 @@ export interface SpaceSettings { /** *A file system, created by you, that you assign to a space for an Amazon SageMaker - * Domain. Permitted users can access this file system in Amazon SageMaker - * Studio.
+ * Domain. Permitted users can access this file system in Amazon SageMaker + * Studio. * @public */ CustomFileSystems?: CustomFileSystem[]; @@ -3216,8 +3216,10 @@ export type RetentionType = (typeof RetentionType)[keyof typeof RetentionType]; */ export interface RetentionPolicy { /** - *The default is Retain, which specifies to keep the data stored on the Amazon EFS volume.
Specify Delete to delete the data stored on the Amazon EFS volume.
The default is Retain, which specifies to keep the data stored on the
+ * Amazon EFS volume.
Specify Delete to delete the data stored on the Amazon EFS
+ * volume.
Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources * have access to. You can control access to and from your resources by configuring a VPC. - * For more information, see Give SageMaker Access to Resources in your Amazon VPC.
+ * For more information, see Give SageMaker Access to + * Resources in your Amazon VPC. * @public */ VpcConfig?: VpcConfig; @@ -5032,8 +5035,8 @@ export interface DescribeCodeRepositoryOutput { /** *Configuration details about the repository, including the URL where the repository is - * located, the default branch, and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the - * repository.
+ * located, the default branch, and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the + * repository. * @public */ GitConfig?: GitConfig; @@ -5760,7 +5763,7 @@ export interface DescribeDomainResponse { TagPropagation?: TagPropagation; /** - *The default settings used to create a space.
+ *The default settings for shared spaces that users create in the domain.
* @public */ DefaultSpaceSettings?: DefaultSpaceSettings; @@ -6186,10 +6189,10 @@ export interface PendingProductionVariantSummary { InstanceType?: ProductionVariantInstanceType; /** - *The size of the Elastic Inference (EI) instance to use for the production variant. EI - * instances provide on-demand GPU computing for inference. For more information, see - * Using Elastic - * Inference in Amazon SageMaker.
+ *This parameter is no longer supported. Elastic Inference (EI) is no longer + * available.
+ *This parameter was used to specify the size of the EI instance to use for the + * production variant.
* @public */ AcceleratorType?: ProductionVariantAcceleratorType; @@ -6579,7 +6582,8 @@ export interface DescribeEndpointConfigOutput { /** *Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources * have access to. You can control access to and from your resources by configuring a VPC. - * For more information, see Give SageMaker Access to Resources in your Amazon VPC.
+ * For more information, see Give SageMaker Access to + * Resources in your Amazon VPC. * @public */ VpcConfig?: VpcConfig; diff --git a/clients/client-sagemaker/src/models/models_3.ts b/clients/client-sagemaker/src/models/models_3.ts index 32085c0cad04..d2c69a1454ff 100644 --- a/clients/client-sagemaker/src/models/models_3.ts +++ b/clients/client-sagemaker/src/models/models_3.ts @@ -1829,15 +1829,15 @@ export interface DescribeNotebookInstanceOutput { RoleArn?: string; /** - *The Amazon Web Services KMS key ID SageMaker uses to encrypt data when storing it on the - * ML storage volume attached to the instance.
+ *The Amazon Web Services KMS key ID SageMaker uses to encrypt data when + * storing it on the ML storage volume attached to the instance.
* @public */ KmsKeyId?: string; /** - *The network interface IDs that SageMaker created at the time of creating the instance. - *
+ *The network interface IDs that SageMaker created at the time of creating + * the instance.
* @public */ NetworkInterfaceId?: string; @@ -1866,9 +1866,10 @@ export interface DescribeNotebookInstanceOutput { NotebookInstanceLifecycleConfigName?: string; /** - *Describes whether SageMaker provides internet access to the notebook instance. If this - * value is set to Disabled, the notebook instance does not have - * internet access, and cannot connect to SageMaker training and endpoint services.
+ *Describes whether SageMaker provides internet access to the notebook instance. + * If this value is set to Disabled, the notebook instance does not + * have internet access, and cannot connect to SageMaker training and endpoint + * services.
*For more information, see Notebook Instances Are Internet-Enabled by Default.
* @public */ @@ -1881,10 +1882,10 @@ export interface DescribeNotebookInstanceOutput { VolumeSizeInGB?: number; /** - *A list of the Elastic Inference (EI) instance types associated with this notebook - * instance. Currently only one EI instance type can be associated with a notebook - * instance. For more information, see Using Elastic Inference in - * Amazon SageMaker.
+ *This parameter is no longer supported. Elastic Inference (EI) is no longer + * available.
+ *This parameter was used to specify a list of the EI instance types associated with + * this notebook instance.
* @public */ AcceleratorTypes?: NotebookInstanceAcceleratorType[]; @@ -1971,7 +1972,7 @@ export interface DescribeNotebookInstanceLifecycleConfigOutput { /** *The shell script that runs every time you start a notebook instance, including when - * you create the notebook instance.
+ * you create the notebook instance. * @public */ OnStart?: NotebookInstanceLifecycleHook[]; @@ -9197,28 +9198,28 @@ export interface ListClustersResponse { export interface ListCodeRepositoriesInput { /** *A filter that returns only Git repositories that were created after the specified - * time.
+ * time. * @public */ CreationTimeAfter?: Date; /** *A filter that returns only Git repositories that were created before the specified - * time.
+ * time. * @public */ CreationTimeBefore?: Date; /** *A filter that returns only Git repositories that were last modified after the - * specified time.
+ * specified time. * @public */ LastModifiedTimeAfter?: Date; /** *A filter that returns only Git repositories that were last modified before the - * specified time.
+ * specified time. * @public */ LastModifiedTimeBefore?: Date; @@ -9231,15 +9232,15 @@ export interface ListCodeRepositoriesInput { /** *A string in the Git repositories name. This filter returns only repositories whose - * name contains the specified string.
+ * name contains the specified string. * @public */ NameContains?: string; /** *If the result of a ListCodeRepositoriesOutput request was truncated, the
- * response includes a NextToken. To get the next set of Git repositories, use
- * the token in the next request.
NextToken. To get the next set of Git repositories, use
+ * the token in the next request.
* @public
*/
NextToken?: string;
@@ -9263,7 +9264,7 @@ export interface ListCodeRepositoriesInput {
export interface ListCodeRepositoriesOutput {
/**
* Gets a list of summaries of the Git repositories. Each summary specifies the following - * values for the repository:
+ * values for the repository: *Name
@@ -9279,8 +9280,8 @@ export interface ListCodeRepositoriesOutput { *Configuration information, including the URL location of the repository and - * the ARN of the Amazon Web Services Secrets Manager secret that contains the - * credentials used to access the repository.
+ * the ARN of the Amazon Web Services Secrets Manager secret that contains the + * credentials used to access the repository. *If the result of a ListCodeRepositoriesOutput request was truncated, the
- * response includes a NextToken. To get the next set of Git repositories, use
- * the token in the next request.
NextToken. To get the next set of Git repositories, use
+ * the token in the next request.
* @public
*/
NextToken?: string;
diff --git a/clients/client-sagemaker/src/models/models_4.ts b/clients/client-sagemaker/src/models/models_4.ts
index 82123c09b08d..5140f6b98849 100644
--- a/clients/client-sagemaker/src/models/models_4.ts
+++ b/clients/client-sagemaker/src/models/models_4.ts
@@ -2001,8 +2001,8 @@ export type NotebookInstanceLifecycleConfigSortOrder =
export interface ListNotebookInstanceLifecycleConfigsInput {
/**
* If the result of a ListNotebookInstanceLifecycleConfigs request was
- * truncated, the response includes a NextToken. To get the next set of
- * lifecycle configurations, use the token in the next request.
NextToken. To get the next set of
+ * lifecycle configurations, use the token in the next request.
* @public
*/
NextToken?: string;
@@ -2027,35 +2027,35 @@ export interface ListNotebookInstanceLifecycleConfigsInput {
/**
* A string in the lifecycle configuration name. This filter returns only lifecycle - * configurations whose name contains the specified string.
+ * configurations whose name contains the specified string. * @public */ NameContains?: string; /** *A filter that returns only lifecycle configurations that were created before the - * specified time (timestamp).
+ * specified time (timestamp). * @public */ CreationTimeBefore?: Date; /** *A filter that returns only lifecycle configurations that were created after the - * specified time (timestamp).
+ * specified time (timestamp). * @public */ CreationTimeAfter?: Date; /** *A filter that returns only lifecycle configurations that were modified before the - * specified time (timestamp).
+ * specified time (timestamp). * @public */ LastModifiedTimeBefore?: Date; /** *A filter that returns only lifecycle configurations that were modified after the - * specified time (timestamp).
+ * specified time (timestamp). * @public */ LastModifiedTimeAfter?: Date; @@ -2096,15 +2096,15 @@ export interface NotebookInstanceLifecycleConfigSummary { */ export interface ListNotebookInstanceLifecycleConfigsOutput { /** - *If the response is truncated, SageMaker returns this token. To get the next set of - * lifecycle configurations, use it in the next request.
+ *If the response is truncated, SageMaker returns this token. To get the next + * set of lifecycle configurations, use it in the next request.
* @public */ NextToken?: string; /** *An array of NotebookInstanceLifecycleConfiguration objects, each listing
- * a lifecycle configuration.
The URL that you use to connect to the Jupyter notebook running in your notebook - * instance.
+ * instance. * @public */ Url?: string; @@ -2290,31 +2290,31 @@ export interface NotebookInstanceSummary { /** *The name of a notebook instance lifecycle configuration associated with this notebook - * instance.
+ * instance. *For information about notebook instance lifestyle configurations, see Step - * 2.1: (Optional) Customize a Notebook Instance.
+ * 2.1: (Optional) Customize a Notebook Instance. * @public */ NotebookInstanceLifecycleConfigName?: string; /** *The Git repository associated with the notebook instance as its default code - * repository. This can be either the name of a Git repository stored as a resource in your - * account, or the URL of a Git repository in Amazon Web Services CodeCommit - * or in any other Git repository. When you open a notebook instance, it opens in the - * directory that contains this repository. For more information, see Associating Git - * Repositories with SageMaker Notebook Instances.
+ * repository. This can be either the name of a Git repository stored as a resource in your + * account, or the URL of a Git repository in Amazon Web Services CodeCommit + * or in any other Git repository. When you open a notebook instance, it opens in the + * directory that contains this repository. For more information, see Associating Git + * Repositories with SageMaker Notebook Instances. * @public */ DefaultCodeRepository?: string; /** *An array of up to three Git repositories associated with the notebook instance. These - * can be either the names of Git repositories stored as resources in your account, or the - * URL of Git repositories in Amazon Web Services CodeCommit - * or in any other Git repository. These repositories are cloned at the same level as the - * default repository of your notebook instance. For more information, see Associating Git - * Repositories with SageMaker Notebook Instances.
+ * can be either the names of Git repositories stored as resources in your account, or the + * URL of Git repositories in Amazon Web Services CodeCommit + * or in any other Git repository. These repositories are cloned at the same level as the + * default repository of your notebook instance. For more information, see Associating Git + * Repositories with SageMaker Notebook Instances. * @public */ AdditionalCodeRepositories?: string[]; @@ -2326,8 +2326,8 @@ export interface NotebookInstanceSummary { export interface ListNotebookInstancesOutput { /** *If the response to the previous ListNotebookInstances request was
- * truncated, SageMaker returns this token. To retrieve the next set of notebook instances, use
- * the token in the next request.
Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources * have access to. You can control access to and from your resources by configuring a VPC. - * For more information, see Give SageMaker Access to Resources in your Amazon VPC.
+ * For more information, see Give SageMaker Access to + * Resources in your Amazon VPC. * @public */ VpcConfig?: VpcConfig; @@ -8534,12 +8535,12 @@ export interface UpdateCodeRepositoryInput { /** *The configuration of the git repository, including the URL and the Amazon Resource
- * Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the
- * credentials used to access the repository. The secret must have a staging label of
- * AWSCURRENT and must be in the following format:
AWSCURRENT and must be in the following format:
*
* \{"username": UserName, "password":
- * Password\}
+ * Password\}
*
The default settings used to create a space within the domain.
+ *The default settings for shared spaces that users create in the domain.
* @public */ DefaultSpaceSettings?: DefaultSpaceSettings; @@ -9673,11 +9674,11 @@ export interface UpdateNotebookInstanceInput { InstanceType?: _InstanceType; /** - *The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access the - * notebook instance. For more information, see SageMaker Roles.
+ *The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to + * access the notebook instance. For more information, see SageMaker Roles.
*To be able to pass this role to SageMaker, the caller of this API must have the
- * iam:PassRole permission.
To be able to pass this role to SageMaker, the caller of this API must
+ * have the iam:PassRole permission.
The size, in GB, of the ML storage volume to attach to the notebook instance. The - * default value is 5 GB. ML storage volumes are encrypted, so SageMaker can't determine the - * amount of available free space on the volume. Because of this, you can increase the - * volume size when you update a notebook instance, but you can't decrease the volume size. - * If you want to decrease the size of the ML storage volume in use, create a new notebook - * instance with the desired size.
+ * default value is 5 GB. ML storage volumes are encrypted, so SageMaker can't + * determine the amount of available free space on the volume. Because of this, you can + * increase the volume size when you update a notebook instance, but you can't decrease the + * volume size. If you want to decrease the size of the ML storage volume in use, create a + * new notebook instance with the desired size. * @public */ VolumeSizeInGB?: number; @@ -9734,19 +9735,19 @@ export interface UpdateNotebookInstanceInput { AdditionalCodeRepositories?: string[]; /** - *A list of the Elastic Inference (EI) instance types to associate with this notebook - * instance. Currently only one EI instance type can be associated with a notebook - * instance. For more information, see Using Elastic Inference in - * Amazon SageMaker.
+ *This parameter is no longer supported. Elastic Inference (EI) is no longer + * available.
+ *This parameter was used to specify a list of the EI instance types to associate with + * this notebook instance.
* @public */ AcceleratorTypes?: NotebookInstanceAcceleratorType[]; /** - *A list of the Elastic Inference (EI) instance types to remove from this notebook - * instance. This operation is idempotent. If you specify an accelerator type that is not - * associated with the notebook instance when you call this method, it does not throw an - * error.
+ *This parameter is no longer supported. Elastic Inference (EI) is no longer + * available.
+ *This parameter was used to specify a list of the EI instance types to remove from this notebook + * instance.
* @public */ DisassociateAcceleratorTypes?: boolean; @@ -9804,15 +9805,15 @@ export interface UpdateNotebookInstanceLifecycleConfigInput { /** *The shell script that runs only once, when you create a notebook instance. The shell - * script must be a base64-encoded string.
+ * script must be a base64-encoded string. * @public */ OnCreate?: NotebookInstanceLifecycleHook[]; /** *The shell script that runs every time you start a notebook instance, including when - * you create the notebook instance. The shell script must be a base64-encoded - * string.
+ * you create the notebook instance. The shell script must be a base64-encoded + * string. * @public */ OnStart?: NotebookInstanceLifecycleHook[]; diff --git a/codegen/sdk-codegen/aws-models/sagemaker.json b/codegen/sdk-codegen/aws-models/sagemaker.json index d11f2fffddeb..0c19adcbf40c 100644 --- a/codegen/sdk-codegen/aws-models/sagemaker.json +++ b/codegen/sdk-codegen/aws-models/sagemaker.json @@ -923,13 +923,13 @@ "target": "com.amazonaws.sagemaker#LambdaFunctionArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.
\nThis parameter is required for all labeling jobs. For built-in task types, use one\n of the following Amazon SageMaker Ground Truth Lambda function ARNs for\n AnnotationConsolidationLambdaArn. For custom labeling workflows, see\n Post-annotation Lambda.
\n Bounding box - Finds the most similar boxes from\n different workers based on the Jaccard index of the boxes.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox\n
\n Image classification - Uses a variant of the\n Expectation Maximization approach to estimate the true class of an image based on\n annotations from individual workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass\n
\n Multi-label image classification - Uses a variant of\n the Expectation Maximization approach to estimate the true classes of an image based on\n annotations from individual workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel\n
\n Semantic segmentation - Treats each pixel in an image\n as a multi-class classification and treats pixel annotations from workers as \"votes\" for\n the correct label.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation\n
\n Text classification - Uses a variant of the\n Expectation Maximization approach to estimate the true class of text based on\n annotations from individual workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass\n
\n Multi-label text classification - Uses a variant of\n the Expectation Maximization approach to estimate the true classes of text based on\n annotations from individual workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel\n
\n Named entity recognition - Groups similar selections\n and calculates aggregate boundaries, resolving to most-assigned label.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition\n
\n Video Classification - Use this task type when you need workers to classify videos using\n predefined labels that you specify. Workers are shown videos and are asked to choose one\n label for each video.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass\n
\n Video Frame Object Detection - Use this task type to\n have workers identify and locate objects in a sequence of video frames (images extracted\n from a video) using bounding boxes. For example, you can use this task to ask workers to\n identify and localize various objects in a series of video frames, such as cars, bikes,\n and pedestrians.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection\n
\n Video Frame Object Tracking - Use this task type to\n have workers track the movement of objects in a sequence of video frames (images\n extracted from a video) using bounding boxes. For example, you can use this task to ask\n workers to track the movement of objects, such as cars, bikes, and pedestrians.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking\n
\n 3D Point Cloud Object Detection - Use this task type\n when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids\n around objects. For example, you can use this task type to ask workers to identify\n different types of objects in a point cloud, such as cars, bikes, and\n pedestrians.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection\n
\n 3D Point Cloud Object Tracking - Use this task type\n when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D\n point cloud frames. For example, you can use this task type to ask workers to track the\n movement of vehicles across multiple point cloud frames.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking\n
\n 3D Point Cloud Semantic Segmentation - Use this task\n type when you want workers to create a point-level semantic segmentation masks by\n painting objects in a 3D point cloud using different colors where each color is assigned\n to one of the classes you specify.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation\n
\n Use the following ARNs for Label Verification and Adjustment Jobs\n
\nUse label verification and adjustment jobs to review and adjust labels. To learn more,\n see Verify and Adjust Labels .
\n\n Semantic Segmentation Adjustment - Treats each pixel\n in an image as a multi-class classification and treats pixel adjusted annotations from\n workers as \"votes\" for the correct label.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation\n
\n Semantic Segmentation Verification - Uses a variant\n of the Expectation Maximization approach to estimate the true class of verification\n judgment for semantic segmentation labels based on annotations from individual\n workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation\n
\n Bounding Box Adjustment - Finds the most similar\n boxes from different workers based on the Jaccard index of the adjusted\n annotations.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox\n
\n Bounding Box Verification - Uses a variant of the\n Expectation Maximization approach to estimate the true class of verification judgement\n for bounding box labels based on annotations from individual workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox\n
\n Video Frame Object Detection Adjustment - \n Use this task type when you want workers to adjust bounding boxes that workers have added \n to video frames to classify and localize objects in a sequence of video frames.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection\n
\n Video Frame Object Tracking Adjustment - \n Use this task type when you want workers to adjust bounding boxes that workers have added \n to video frames to track object movement across a sequence of video frames.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking\n
\n 3D Point Cloud Object Detection Adjustment - Use this\n task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n 3D Point Cloud Object Tracking Adjustment - Use this\n task type when you want workers to adjust 3D cuboids around objects that appear in a\n sequence of 3D point cloud frames.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n 3D Point Cloud Semantic Segmentation Adjustment - Use this task\n type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.
\nFor built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-annotation Lambda.
\n Bounding box - Finds the most similar boxes from\n different workers based on the Jaccard index of the boxes.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox\n
\n Image classification - Uses a variant of the\n Expectation Maximization approach to estimate the true class of an image based on\n annotations from individual workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass\n
\n Multi-label image classification - Uses a variant of\n the Expectation Maximization approach to estimate the true classes of an image based on\n annotations from individual workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel\n
\n Semantic segmentation - Treats each pixel in an image\n as a multi-class classification and treats pixel annotations from workers as \"votes\" for\n the correct label.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation\n
\n Text classification - Uses a variant of the\n Expectation Maximization approach to estimate the true class of text based on\n annotations from individual workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass\n
\n Multi-label text classification - Uses a variant of\n the Expectation Maximization approach to estimate the true classes of text based on\n annotations from individual workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel\n
\n Named entity recognition - Groups similar selections\n and calculates aggregate boundaries, resolving to most-assigned label.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition\n
\n Video Classification - Use this task type when you need workers to classify videos using\n predefined labels that you specify. Workers are shown videos and are asked to choose one\n label for each video.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass\n
\n Video Frame Object Detection - Use this task type to\n have workers identify and locate objects in a sequence of video frames (images extracted\n from a video) using bounding boxes. For example, you can use this task to ask workers to\n identify and localize various objects in a series of video frames, such as cars, bikes,\n and pedestrians.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection\n
\n Video Frame Object Tracking - Use this task type to\n have workers track the movement of objects in a sequence of video frames (images\n extracted from a video) using bounding boxes. For example, you can use this task to ask\n workers to track the movement of objects, such as cars, bikes, and pedestrians.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking\n
\n 3D Point Cloud Object Detection - Use this task type\n when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids\n around objects. For example, you can use this task type to ask workers to identify\n different types of objects in a point cloud, such as cars, bikes, and\n pedestrians.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection\n
\n 3D Point Cloud Object Tracking - Use this task type\n when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D\n point cloud frames. For example, you can use this task type to ask workers to track the\n movement of vehicles across multiple point cloud frames.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking\n
\n 3D Point Cloud Semantic Segmentation - Use this task\n type when you want workers to create a point-level semantic segmentation masks by\n painting objects in a 3D point cloud using different colors where each color is assigned\n to one of the classes you specify.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation\n
\n Use the following ARNs for Label Verification and Adjustment Jobs\n
\nUse label verification and adjustment jobs to review and adjust labels. To learn more,\n see Verify and Adjust Labels .
\n\n Semantic Segmentation Adjustment - Treats each pixel\n in an image as a multi-class classification and treats pixel adjusted annotations from\n workers as \"votes\" for the correct label.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation\n
\n Semantic Segmentation Verification - Uses a variant\n of the Expectation Maximization approach to estimate the true class of verification\n judgment for semantic segmentation labels based on annotations from individual\n workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation\n
\n Bounding Box Adjustment - Finds the most similar\n boxes from different workers based on the Jaccard index of the adjusted\n annotations.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox\n
\n Bounding Box Verification - Uses a variant of the\n Expectation Maximization approach to estimate the true class of verification judgement\n for bounding box labels based on annotations from individual workers.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox\n
\n Video Frame Object Detection Adjustment - \n Use this task type when you want workers to adjust bounding boxes that workers have added \n to video frames to classify and localize objects in a sequence of video frames.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection\n
\n Video Frame Object Tracking Adjustment - \n Use this task type when you want workers to adjust bounding boxes that workers have added \n to video frames to track object movement across a sequence of video frames.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking\n
\n 3D Point Cloud Object Detection Adjustment - Use this\n task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection\n
\n 3D Point Cloud Object Tracking Adjustment - Use this\n task type when you want workers to adjust 3D cuboids around objects that appear in a\n sequence of 3D point cloud frames.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking\n
\n 3D Point Cloud Semantic Segmentation Adjustment - Use this task\n type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.
\n\n arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
\n arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation\n
Configures how labels are consolidated across human workers and processes output data.\n
" + "smithy.api#documentation": "Configures how labels are consolidated across human workers and processes output data.
" } }, "com.amazonaws.sagemaker#AppArn": { @@ -8310,7 +8310,7 @@ "Environment": { "target": "com.amazonaws.sagemaker#EnvironmentMap", "traits": { - "smithy.api#documentation": "The environment variables to set in the Docker container. Don't include any\n sensitive data in your environment variables.
\nThe maximum length of each key and value in the Environment map is\n 1024 bytes. The maximum length of all keys and values in the map, combined, is 32 KB. If\n you pass multiple containers to a CreateModel request, then the maximum\n length of all of their maps, combined, is also 32 KB.
The environment variables to set in the Docker container. Don't include any\n sensitive data in your environment variables.
\nThe maximum length of each key and value in the Environment map is\n 1024 bytes. The maximum length of all keys and values in the map, combined, is 32 KB. If\n you pass multiple containers to a CreateModel request, then the maximum\n length of all of their maps, combined, is also 32 KB.
Creates a Git repository as a resource in your SageMaker account. You can associate the\n repository with notebook instances so that you can use Git source control for the\n notebooks you create. The Git repository is a resource in your SageMaker account, so it can\n be associated with more than one notebook instance, and it persists independently from\n the lifecycle of any notebook instances it is associated with.
\nThe repository can be hosted either in Amazon Web Services CodeCommit\n or in any other Git repository.
" + "smithy.api#documentation": "Creates a Git repository as a resource in your SageMaker account. You can\n associate the repository with notebook instances so that you can use Git source control\n for the notebooks you create. The Git repository is a resource in your SageMaker\n account, so it can be associated with more than one notebook instance, and it persists\n independently from the lifecycle of any notebook instances it is associated with.
\nThe repository can be hosted either in Amazon Web Services CodeCommit\n or in any other Git repository.
" } }, "com.amazonaws.sagemaker#CreateCodeRepositoryInput": { @@ -9418,7 +9418,7 @@ "target": "com.amazonaws.sagemaker#EntityName", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "The name of the Git repository. The name must have 1 to 63 characters. Valid\n characters are a-z, A-Z, 0-9, and - (hyphen).
", + "smithy.api#documentation": "The name of the Git repository. The name must have 1 to 63 characters. Valid\n characters are a-z, A-Z, 0-9, and - (hyphen).
", "smithy.api#required": {} } }, @@ -9426,14 +9426,14 @@ "target": "com.amazonaws.sagemaker#GitConfig", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "Specifies details about the repository, including the URL where the repository is\n located, the default branch, and credentials to use to access the repository.
", + "smithy.api#documentation": "Specifies details about the repository, including the URL where the repository is\n located, the default branch, and credentials to use to access the repository.
", "smithy.api#required": {} } }, "Tags": { "target": "com.amazonaws.sagemaker#TagList", "traits": { - "smithy.api#documentation": "An array of key-value pairs. You can use tags to categorize your Amazon Web Services\n resources in different ways, for example, by purpose, owner, or environment. For more\n information, see Tagging Amazon Web Services Resources.
" + "smithy.api#documentation": "An array of key-value pairs. You can use tags to categorize your Amazon Web Services\n resources in different ways, for example, by purpose, owner, or environment. For more\n information, see Tagging Amazon Web Services Resources.
" } } }, @@ -9928,7 +9928,7 @@ "DefaultSpaceSettings": { "target": "com.amazonaws.sagemaker#DefaultSpaceSettings", "traits": { - "smithy.api#documentation": "The default settings used to create a space.
" + "smithy.api#documentation": "The default settings for shared spaces that users create in the domain.
" } } }, @@ -12532,7 +12532,7 @@ } ], "traits": { - "smithy.api#documentation": "Creates an SageMaker notebook instance. A notebook instance is a machine learning (ML)\n compute instance running on a Jupyter notebook.
\nIn a CreateNotebookInstance request, specify the type of ML compute\n instance that you want to run. SageMaker launches the instance, installs common libraries\n that you can use to explore datasets for model training, and attaches an ML storage\n volume to the notebook instance.
SageMaker also provides a set of example notebooks. Each notebook demonstrates how to\n use SageMaker with a specific algorithm or with a machine learning framework.
\nAfter receiving the request, SageMaker does the following:
\nCreates a network interface in the SageMaker VPC.
\n(Option) If you specified SubnetId, SageMaker creates a network\n interface in your own VPC, which is inferred from the subnet ID that you provide\n in the input. When creating this network interface, SageMaker attaches the security\n group that you specified in the request to the network interface that it creates\n in your VPC.
Launches an EC2 instance of the type specified in the request in the SageMaker\n VPC. If you specified SubnetId of your VPC, SageMaker specifies both\n network interfaces when launching this instance. This enables inbound traffic\n from your own VPC to the notebook instance, assuming that the security groups\n allow it.
After creating the notebook instance, SageMaker returns its Amazon Resource Name (ARN).\n You can't change the name of a notebook instance after you create it.
\nAfter SageMaker creates the notebook instance, you can connect to the Jupyter server and\n work in Jupyter notebooks. For example, you can write code to explore a dataset that you\n can use for model training, train a model, host models by creating SageMaker endpoints, and\n validate hosted models.
\nFor more information, see How It Works.
" + "smithy.api#documentation": "Creates an SageMaker notebook instance. A notebook instance is a machine\n learning (ML) compute instance running on a Jupyter notebook.
\nIn a CreateNotebookInstance request, specify the type of ML compute\n instance that you want to run. SageMaker launches the instance, installs common\n libraries that you can use to explore datasets for model training, and attaches an ML\n storage volume to the notebook instance.
SageMaker also provides a set of example notebooks. Each notebook\n demonstrates how to use SageMaker with a specific algorithm or with a machine\n learning framework.
\nAfter receiving the request, SageMaker does the following:
\nCreates a network interface in the SageMaker VPC.
\n(Option) If you specified SubnetId, SageMaker creates\n a network interface in your own VPC, which is inferred from the subnet ID that\n you provide in the input. When creating this network interface, SageMaker attaches the security group that you specified in the request to the network\n interface that it creates in your VPC.
Launches an EC2 instance of the type specified in the request in the\n SageMaker VPC. If you specified SubnetId of your VPC,\n SageMaker specifies both network interfaces when launching this\n instance. This enables inbound traffic from your own VPC to the notebook\n instance, assuming that the security groups allow it.
After creating the notebook instance, SageMaker returns its Amazon Resource\n Name (ARN). You can't change the name of a notebook instance after you create\n it.
\nAfter SageMaker creates the notebook instance, you can connect to the\n Jupyter server and work in Jupyter notebooks. For example, you can write code to explore\n a dataset that you can use for model training, train a model, host models by creating\n SageMaker endpoints, and validate hosted models.
\nFor more information, see How It Works.
" } }, "com.amazonaws.sagemaker#CreateNotebookInstanceInput": { @@ -12557,75 +12557,75 @@ "SubnetId": { "target": "com.amazonaws.sagemaker#SubnetId", "traits": { - "smithy.api#documentation": "The ID of the subnet in a VPC to which you would like to have a connectivity from\n your ML compute instance.
" + "smithy.api#documentation": "The ID of the subnet in a VPC to which you would like to have a connectivity from\n your ML compute instance.
" } }, "SecurityGroupIds": { "target": "com.amazonaws.sagemaker#SecurityGroupIds", "traits": { - "smithy.api#documentation": "The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be\n for the same VPC as specified in the subnet.
" + "smithy.api#documentation": "The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be\n for the same VPC as specified in the subnet.
" } }, "RoleArn": { "target": "com.amazonaws.sagemaker#RoleArn", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "When you send any requests to Amazon Web Services resources from the notebook\n instance, SageMaker assumes this role to perform tasks on your behalf. You must grant this\n role necessary permissions so SageMaker can perform these tasks. The policy must allow the\n SageMaker service principal (sagemaker.amazonaws.com) permissions to assume this role. For\n more information, see SageMaker Roles.
\nTo be able to pass this role to SageMaker, the caller of this API must have the\n iam:PassRole permission.
When you send any requests to Amazon Web Services resources from the notebook\n instance, SageMaker assumes this role to perform tasks on your behalf. You must\n grant this role necessary permissions so SageMaker can perform these tasks. The\n policy must allow the SageMaker service principal (sagemaker.amazonaws.com)\n permissions to assume this role. For more information, see SageMaker Roles.
\nTo be able to pass this role to SageMaker, the caller of this API must\n have the iam:PassRole permission.
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that\n SageMaker uses to encrypt data on the storage volume attached to your notebook instance. The\n KMS key you provide must be enabled. For information, see Enabling and Disabling\n Keys in the Amazon Web Services Key Management Service Developer\n Guide.
" + "smithy.api#documentation": "The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that\n SageMaker uses to encrypt data on the storage volume attached to your\n notebook instance. The KMS key you provide must be enabled. For information, see Enabling and\n Disabling Keys in the Amazon Web Services Key Management Service\n Developer Guide.
" } }, "Tags": { "target": "com.amazonaws.sagemaker#TagList", "traits": { - "smithy.api#documentation": "An array of key-value pairs. You can use tags to categorize your Amazon Web Services\n resources in different ways, for example, by purpose, owner, or environment. For more\n information, see Tagging Amazon Web Services Resources.
" + "smithy.api#documentation": "An array of key-value pairs. You can use tags to categorize your Amazon Web Services\n resources in different ways, for example, by purpose, owner, or environment. For more\n information, see Tagging Amazon Web Services Resources.
" } }, "LifecycleConfigName": { "target": "com.amazonaws.sagemaker#NotebookInstanceLifecycleConfigName", "traits": { - "smithy.api#documentation": "The name of a lifecycle configuration to associate with the notebook instance. For\n information about lifestyle configurations, see Step 2.1: (Optional)\n Customize a Notebook Instance.
" + "smithy.api#documentation": "The name of a lifecycle configuration to associate with the notebook instance. For\n information about lifestyle configurations, see Step 2.1: (Optional)\n Customize a Notebook Instance.
" } }, "DirectInternetAccess": { "target": "com.amazonaws.sagemaker#DirectInternetAccess", "traits": { - "smithy.api#documentation": "Sets whether SageMaker provides internet access to the notebook instance. If you set this\n to Disabled this notebook instance is able to access resources only in your\n VPC, and is not be able to connect to SageMaker training and endpoint services unless you\n configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default. You can set the value\n of this parameter to Disabled only if you set a value for the\n SubnetId parameter.
Sets whether SageMaker provides internet access to the notebook instance. If\n you set this to Disabled this notebook instance is able to access resources\n only in your VPC, and is not be able to connect to SageMaker training and\n endpoint services unless you configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default. You can set the value\n of this parameter to Disabled only if you set a value for the\n SubnetId parameter.
The size, in GB, of the ML storage volume to attach to the notebook instance. The\n default value is 5 GB.
" + "smithy.api#documentation": "The size, in GB, of the ML storage volume to attach to the notebook instance. The\n default value is 5 GB.
" } }, "AcceleratorTypes": { "target": "com.amazonaws.sagemaker#NotebookInstanceAcceleratorTypes", "traits": { - "smithy.api#documentation": "A list of Elastic Inference (EI) instance types to associate with this notebook\n instance. Currently, only one instance type can be associated with a notebook instance.\n For more information, see Using Elastic Inference in Amazon SageMaker.
" + "smithy.api#documentation": "This parameter is no longer supported. Elastic Inference (EI) is no longer\n available.
\nThis parameter was used to specify a list of EI instance types to associate with this\n notebook instance.
" } }, "DefaultCodeRepository": { "target": "com.amazonaws.sagemaker#CodeRepositoryNameOrUrl", "traits": { - "smithy.api#documentation": "A Git repository to associate with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "A Git repository to associate with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" } }, "AdditionalCodeRepositories": { "target": "com.amazonaws.sagemaker#AdditionalCodeRepositoryNamesOrUrls", "traits": { - "smithy.api#documentation": "An array of up to three Git repositories to associate with the notebook instance.\n These can be either the names of Git repositories stored as resources in your account,\n or the URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "An array of up to three Git repositories to associate with the notebook instance.\n These can be either the names of Git repositories stored as resources in your account,\n or the URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" } }, "RootAccess": { "target": "com.amazonaws.sagemaker#RootAccess", "traits": { - "smithy.api#documentation": "Whether root access is enabled or disabled for users of the notebook instance. The\n default value is Enabled.
Lifecycle configurations need root access to be able to set up a notebook\n instance. Because of this, lifecycle configurations associated with a notebook\n instance always run with root access even if you disable root access for\n users.
\nWhether root access is enabled or disabled for users of the notebook instance. The\n default value is Enabled.
Lifecycle configurations need root access to be able to set up a notebook\n instance. Because of this, lifecycle configurations associated with a notebook\n instance always run with root access even if you disable root access for\n users.
\nCreates a lifecycle configuration that you can associate with a notebook instance. A\n lifecycle configuration is a collection of shell scripts that\n run when you create or start a notebook instance.
\nEach lifecycle configuration script has a limit of 16384 characters.
\nThe value of the $PATH environment variable that is available to both\n scripts is /sbin:bin:/usr/sbin:/usr/bin.
View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log group\n /aws/sagemaker/NotebookInstances in log stream\n [notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs\n for longer than 5 minutes, it fails and the notebook instance is not created or\n started.
\nFor information about notebook instance lifestyle configurations, see Step\n 2.1: (Optional) Customize a Notebook Instance.
" + "smithy.api#documentation": "Creates a lifecycle configuration that you can associate with a notebook instance. A\n lifecycle configuration is a collection of shell scripts that\n run when you create or start a notebook instance.
\nEach lifecycle configuration script has a limit of 16384 characters.
\nThe value of the $PATH environment variable that is available to both\n scripts is /sbin:bin:/usr/sbin:/usr/bin.
View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log\n group /aws/sagemaker/NotebookInstances in log stream\n [notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs\n for longer than 5 minutes, it fails and the notebook instance is not created or\n started.
\nFor information about notebook instance lifestyle configurations, see Step\n 2.1: (Optional) Customize a Notebook Instance.
" } }, "com.amazonaws.sagemaker#CreateNotebookInstanceLifecycleConfigInput": { @@ -12676,13 +12676,13 @@ "OnCreate": { "target": "com.amazonaws.sagemaker#NotebookInstanceLifecycleConfigList", "traits": { - "smithy.api#documentation": "A shell script that runs only once, when you create a notebook instance. The shell\n script must be a base64-encoded string.
" + "smithy.api#documentation": "A shell script that runs only once, when you create a notebook instance. The shell\n script must be a base64-encoded string.
" } }, "OnStart": { "target": "com.amazonaws.sagemaker#NotebookInstanceLifecycleConfigList", "traits": { - "smithy.api#documentation": "A shell script that runs every time you start a notebook instance, including when you\n create the notebook instance. The shell script must be a base64-encoded string.
" + "smithy.api#documentation": "A shell script that runs every time you start a notebook instance, including when you\n create the notebook instance. The shell script must be a base64-encoded string.
" } } }, @@ -13088,7 +13088,7 @@ "target": "com.amazonaws.sagemaker#CreatePresignedNotebookInstanceUrlOutput" }, "traits": { - "smithy.api#documentation": "Returns a URL that you can use to connect to the Jupyter server from a notebook\n instance. In the SageMaker console, when you choose Open next to a notebook\n instance, SageMaker opens a new tab showing the Jupyter server home page from the notebook\n instance. The console uses this API to get the URL and show the page.
The IAM role or user used to call this API defines the permissions to access the\n notebook instance. Once the presigned URL is created, no additional permission is\n required to access this URL. IAM authorization policies for this API are also enforced\n for every HTTP request and WebSocket frame that attempts to connect to the notebook\n instance.
\nYou can restrict access to this API and to the URL that it returns to a list of IP\n addresses that you specify. Use the NotIpAddress condition operator and the\n aws:SourceIP condition context key to specify the list of IP addresses\n that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address.
The URL that you get from a call to CreatePresignedNotebookInstanceUrl is valid only for 5 minutes. If you\n try to use the URL after the 5-minute limit expires, you are directed to the Amazon Web Services console sign-in page.
\nReturns a URL that you can use to connect to the Jupyter server from a notebook\n instance. In the SageMaker console, when you choose Open next to a\n notebook instance, SageMaker opens a new tab showing the Jupyter server home\n page from the notebook instance. The console uses this API to get the URL and show the\n page.
The IAM role or user used to call this API defines the permissions to\n access the notebook instance. Once the presigned URL is created, no additional\n permission is required to access this URL. IAM authorization policies for\n this API are also enforced for every HTTP request and WebSocket frame that attempts to\n connect to the notebook instance.
\nYou can restrict access to this API and to the URL that it returns to a list of IP\n addresses that you specify. Use the NotIpAddress condition operator and the\n aws:SourceIP condition context key to specify the list of IP addresses\n that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address.
The URL that you get from a call to CreatePresignedNotebookInstanceUrl is valid only for 5 minutes. If you\n try to use the URL after the 5-minute limit expires, you are directed to the Amazon Web Services console sign-in page.
\nA file system, created by you, that you assign to a user profile or space for an\n Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker Studio.
" + "smithy.api#documentation": "A file system, created by you, that you assign to a user profile or space for an\n Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker Studio.
" } }, "com.amazonaws.sagemaker#CustomFileSystemConfig": { @@ -14295,7 +14295,7 @@ } }, "traits": { - "smithy.api#documentation": "The settings for assigning a custom file system to a user profile or space for an\n Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker Studio.
" + "smithy.api#documentation": "The settings for assigning a custom file system to a user profile or space for an\n Amazon SageMaker Domain. Permitted users can access this file system in Amazon SageMaker Studio.
" } }, "com.amazonaws.sagemaker#CustomFileSystemConfigs": { @@ -15085,7 +15085,7 @@ } }, "traits": { - "smithy.api#documentation": "A collection of settings that apply to spaces created in the domain.
" + "smithy.api#documentation": "The default settings for shared spaces that users create in the domain.
\nSageMaker applies these settings only to shared spaces. It doesn't apply them to private spaces.
" } }, "com.amazonaws.sagemaker#DefaultSpaceStorageSettings": { @@ -16658,7 +16658,7 @@ "target": "smithy.api#Unit" }, "traits": { - "smithy.api#documentation": " Deletes an SageMaker notebook instance. Before you can delete a notebook instance, you\n must call the StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. SageMaker removes\n the ML compute instance, and deletes the ML storage volume and the network interface\n associated with the notebook instance.
\n Deletes an SageMaker notebook instance. Before you can delete a notebook\n instance, you must call the StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. SageMaker removes the ML compute instance, and deletes the ML storage volume and the\n network interface associated with the notebook instance.
\nConfiguration details about the repository, including the URL where the repository is\n located, the default branch, and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the\n repository.
" + "smithy.api#documentation": "Configuration details about the repository, including the URL where the repository is\n located, the default branch, and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the\n repository.
" } } }, @@ -19365,7 +19365,7 @@ "DefaultSpaceSettings": { "target": "com.amazonaws.sagemaker#DefaultSpaceSettings", "traits": { - "smithy.api#documentation": "The default settings used to create a space.
" + "smithy.api#documentation": "The default settings for shared spaces that users create in the domain.
" } } }, @@ -23352,7 +23352,7 @@ "target": "com.amazonaws.sagemaker#DescribeNotebookInstanceLifecycleConfigOutput" }, "traits": { - "smithy.api#documentation": "Returns a description of a notebook instance lifecycle configuration.
\nFor information about notebook instance lifestyle configurations, see Step\n 2.1: (Optional) Customize a Notebook Instance.
" + "smithy.api#documentation": "Returns a description of a notebook instance lifecycle configuration.
\nFor information about notebook instance lifestyle configurations, see Step\n 2.1: (Optional) Customize a Notebook Instance.
" } }, "com.amazonaws.sagemaker#DescribeNotebookInstanceLifecycleConfigInput": { @@ -23395,7 +23395,7 @@ "OnStart": { "target": "com.amazonaws.sagemaker#NotebookInstanceLifecycleConfigList", "traits": { - "smithy.api#documentation": "The shell script that runs every time you start a notebook instance, including when\n you create the notebook instance.
" + "smithy.api#documentation": "The shell script that runs every time you start a notebook instance, including when\n you create the notebook instance.
" } }, "LastModifiedTime": { @@ -23475,13 +23475,13 @@ "KmsKeyId": { "target": "com.amazonaws.sagemaker#KmsKeyId", "traits": { - "smithy.api#documentation": "The Amazon Web Services KMS key ID SageMaker uses to encrypt data when storing it on the\n ML storage volume attached to the instance.
" + "smithy.api#documentation": "The Amazon Web Services KMS key ID SageMaker uses to encrypt data when\n storing it on the ML storage volume attached to the instance.
" } }, "NetworkInterfaceId": { "target": "com.amazonaws.sagemaker#NetworkInterfaceId", "traits": { - "smithy.api#documentation": "The network interface IDs that SageMaker created at the time of creating the instance.\n
" + "smithy.api#documentation": "The network interface IDs that SageMaker created at the time of creating\n the instance.
" } }, "LastModifiedTime": { @@ -23505,7 +23505,7 @@ "DirectInternetAccess": { "target": "com.amazonaws.sagemaker#DirectInternetAccess", "traits": { - "smithy.api#documentation": "Describes whether SageMaker provides internet access to the notebook instance. If this\n value is set to Disabled, the notebook instance does not have\n internet access, and cannot connect to SageMaker training and endpoint services.
\nFor more information, see Notebook Instances Are Internet-Enabled by Default.
" + "smithy.api#documentation": "Describes whether SageMaker provides internet access to the notebook instance.\n If this value is set to Disabled, the notebook instance does not\n have internet access, and cannot connect to SageMaker training and endpoint\n services.
\nFor more information, see Notebook Instances Are Internet-Enabled by Default.
" } }, "VolumeSizeInGB": { @@ -23517,7 +23517,7 @@ "AcceleratorTypes": { "target": "com.amazonaws.sagemaker#NotebookInstanceAcceleratorTypes", "traits": { - "smithy.api#documentation": "A list of the Elastic Inference (EI) instance types associated with this notebook\n instance. Currently only one EI instance type can be associated with a notebook\n instance. For more information, see Using Elastic Inference in\n Amazon SageMaker.
" + "smithy.api#documentation": "This parameter is no longer supported. Elastic Inference (EI) is no longer\n available.
\nThis parameter was used to specify a list of the EI instance types associated with\n this notebook instance.
" } }, "DefaultCodeRepository": { @@ -26733,7 +26733,7 @@ } }, "traits": { - "smithy.api#documentation": "A file system, created by you in Amazon EFS, that you assign to a user profile\n or space for an Amazon SageMaker Domain. Permitted users can access this file\n system in Amazon SageMaker Studio.
" + "smithy.api#documentation": "A file system, created by you in Amazon EFS, that you assign to a user profile\n or space for an Amazon SageMaker Domain. Permitted users can access this file\n system in Amazon SageMaker Studio.
" } }, "com.amazonaws.sagemaker#EFSFileSystemConfig": { @@ -26750,12 +26750,12 @@ "FileSystemPath": { "target": "com.amazonaws.sagemaker#FileSystemPath", "traits": { - "smithy.api#documentation": "The path to the file system directory that is accessible in Amazon SageMaker\n Studio. Permitted users can access only this directory and below.
" + "smithy.api#documentation": "The path to the file system directory that is accessible in Amazon SageMaker\n Studio. Permitted users can access only this directory and below.
" } } }, "traits": { - "smithy.api#documentation": "The settings for assigning a custom Amazon EFS file system to a user profile\n or space for an Amazon SageMaker Domain.
" + "smithy.api#documentation": "The settings for assigning a custom Amazon EFS file system to a user profile\n or space for an Amazon SageMaker Domain.
" } }, "com.amazonaws.sagemaker#EMRStepMetadata": { @@ -34267,7 +34267,7 @@ "target": "com.amazonaws.sagemaker#MinimumInstanceMetadataServiceVersion", "traits": { "smithy.api#clientOptional": {}, - "smithy.api#documentation": "Indicates the minimum IMDS version that the notebook instance supports. When passed as part of CreateNotebookInstance, if no value is selected, then it defaults to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of UpdateNotebookInstance, there is no default.
Indicates the minimum IMDS version that the notebook instance supports. When passed as\n part of CreateNotebookInstance, if no value is selected, then it defaults\n to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of\n UpdateNotebookInstance, there is no default.
A filter that returns only Git repositories that were created after the specified\n time.
" + "smithy.api#documentation": "A filter that returns only Git repositories that were created after the specified\n time.
" } }, "CreationTimeBefore": { "target": "com.amazonaws.sagemaker#CreationTime", "traits": { - "smithy.api#documentation": "A filter that returns only Git repositories that were created before the specified\n time.
" + "smithy.api#documentation": "A filter that returns only Git repositories that were created before the specified\n time.
" } }, "LastModifiedTimeAfter": { "target": "com.amazonaws.sagemaker#Timestamp", "traits": { - "smithy.api#documentation": "A filter that returns only Git repositories that were last modified after the\n specified time.
" + "smithy.api#documentation": "A filter that returns only Git repositories that were last modified after the\n specified time.
" } }, "LastModifiedTimeBefore": { "target": "com.amazonaws.sagemaker#Timestamp", "traits": { - "smithy.api#documentation": "A filter that returns only Git repositories that were last modified before the\n specified time.
" + "smithy.api#documentation": "A filter that returns only Git repositories that were last modified before the\n specified time.
" } }, "MaxResults": { @@ -37583,13 +37583,13 @@ "NameContains": { "target": "com.amazonaws.sagemaker#CodeRepositoryNameContains", "traits": { - "smithy.api#documentation": "A string in the Git repositories name. This filter returns only repositories whose\n name contains the specified string.
" + "smithy.api#documentation": "A string in the Git repositories name. This filter returns only repositories whose\n name contains the specified string.
" } }, "NextToken": { "target": "com.amazonaws.sagemaker#NextToken", "traits": { - "smithy.api#documentation": "If the result of a ListCodeRepositoriesOutput request was truncated, the\n response includes a NextToken. To get the next set of Git repositories, use\n the token in the next request.
If the result of a ListCodeRepositoriesOutput request was truncated, the\n response includes a NextToken. To get the next set of Git repositories, use\n the token in the next request.
Gets a list of summaries of the Git repositories. Each summary specifies the following\n values for the repository:
\nName
\nAmazon Resource Name (ARN)
\nCreation time
\nLast modified time
\nConfiguration information, including the URL location of the repository and\n the ARN of the Amazon Web Services Secrets Manager secret that contains the\n credentials used to access the repository.
\nGets a list of summaries of the Git repositories. Each summary specifies the following\n values for the repository:
\nName
\nAmazon Resource Name (ARN)
\nCreation time
\nLast modified time
\nConfiguration information, including the URL location of the repository and\n the ARN of the Amazon Web Services Secrets Manager secret that contains the\n credentials used to access the repository.
\nIf the result of a ListCodeRepositoriesOutput request was truncated, the\n response includes a NextToken. To get the next set of Git repositories, use\n the token in the next request.
If the result of a ListCodeRepositoriesOutput request was truncated, the\n response includes a NextToken. To get the next set of Git repositories, use\n the token in the next request.
If the result of a ListNotebookInstanceLifecycleConfigs request was\n truncated, the response includes a NextToken. To get the next set of\n lifecycle configurations, use the token in the next request.
If the result of a ListNotebookInstanceLifecycleConfigs request was\n truncated, the response includes a NextToken. To get the next set of\n lifecycle configurations, use the token in the next request.
A string in the lifecycle configuration name. This filter returns only lifecycle\n configurations whose name contains the specified string.
" + "smithy.api#documentation": "A string in the lifecycle configuration name. This filter returns only lifecycle\n configurations whose name contains the specified string.
" } }, "CreationTimeBefore": { "target": "com.amazonaws.sagemaker#CreationTime", "traits": { - "smithy.api#documentation": "A filter that returns only lifecycle configurations that were created before the\n specified time (timestamp).
" + "smithy.api#documentation": "A filter that returns only lifecycle configurations that were created before the\n specified time (timestamp).
" } }, "CreationTimeAfter": { "target": "com.amazonaws.sagemaker#CreationTime", "traits": { - "smithy.api#documentation": "A filter that returns only lifecycle configurations that were created after the\n specified time (timestamp).
" + "smithy.api#documentation": "A filter that returns only lifecycle configurations that were created after the\n specified time (timestamp).
" } }, "LastModifiedTimeBefore": { "target": "com.amazonaws.sagemaker#LastModifiedTime", "traits": { - "smithy.api#documentation": "A filter that returns only lifecycle configurations that were modified before the\n specified time (timestamp).
" + "smithy.api#documentation": "A filter that returns only lifecycle configurations that were modified before the\n specified time (timestamp).
" } }, "LastModifiedTimeAfter": { "target": "com.amazonaws.sagemaker#LastModifiedTime", "traits": { - "smithy.api#documentation": "A filter that returns only lifecycle configurations that were modified after the\n specified time (timestamp).
" + "smithy.api#documentation": "A filter that returns only lifecycle configurations that were modified after the\n specified time (timestamp).
" } } }, @@ -42034,13 +42034,13 @@ "NextToken": { "target": "com.amazonaws.sagemaker#NextToken", "traits": { - "smithy.api#documentation": "If the response is truncated, SageMaker returns this token. To get the next set of\n lifecycle configurations, use it in the next request.
" + "smithy.api#documentation": "If the response is truncated, SageMaker returns this token. To get the next\n set of lifecycle configurations, use it in the next request.
" } }, "NotebookInstanceLifecycleConfigs": { "target": "com.amazonaws.sagemaker#NotebookInstanceLifecycleConfigSummaryList", "traits": { - "smithy.api#documentation": "An array of NotebookInstanceLifecycleConfiguration objects, each listing\n a lifecycle configuration.
An array of NotebookInstanceLifecycleConfiguration objects, each listing\n a lifecycle configuration.
Returns a list of the SageMaker notebook instances in the requester's account in an\n Amazon Web Services Region.
", + "smithy.api#documentation": "Returns a list of the SageMaker notebook instances in the requester's\n account in an Amazon Web Services Region.
", "smithy.api#paginated": { "inputToken": "NextToken", "outputToken": "NextToken", @@ -42158,7 +42158,7 @@ "NextToken": { "target": "com.amazonaws.sagemaker#NextToken", "traits": { - "smithy.api#documentation": "If the response to the previous ListNotebookInstances request was\n truncated, SageMaker returns this token. To retrieve the next set of notebook instances, use\n the token in the next request.
If the response to the previous ListNotebookInstances request was\n truncated, SageMaker returns this token. To retrieve the next set of notebook\n instances, use the token in the next request.
A base64-encoded string that contains a shell script for a notebook instance lifecycle\n configuration.
" + "smithy.api#documentation": "A base64-encoded string that contains a shell script for a notebook instance lifecycle\n configuration.
" } } }, "traits": { - "smithy.api#documentation": "Contains the notebook instance lifecycle configuration script.
\nEach lifecycle configuration script has a limit of 16384 characters.
\nThe value of the $PATH environment variable that is available to both\n scripts is /sbin:bin:/usr/sbin:/usr/bin.
View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log group\n /aws/sagemaker/NotebookInstances in log stream\n [notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs\n for longer than 5 minutes, it fails and the notebook instance is not created or\n started.
\nFor information about notebook instance lifestyle configurations, see Step\n 2.1: (Optional) Customize a Notebook Instance.
" + "smithy.api#documentation": "Contains the notebook instance lifecycle configuration script.
\nEach lifecycle configuration script has a limit of 16384 characters.
\nThe value of the $PATH environment variable that is available to both\n scripts is /sbin:bin:/usr/sbin:/usr/bin.
View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log\n group /aws/sagemaker/NotebookInstances in log stream\n [notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs\n for longer than 5 minutes, it fails and the notebook instance is not created or\n started.
\nFor information about notebook instance lifestyle configurations, see Step\n 2.1: (Optional) Customize a Notebook Instance.
" } }, "com.amazonaws.sagemaker#NotebookInstanceName": { @@ -49177,7 +49177,7 @@ "Url": { "target": "com.amazonaws.sagemaker#NotebookInstanceUrl", "traits": { - "smithy.api#documentation": "The URL that you use to connect to the Jupyter notebook running in your notebook\n instance.
" + "smithy.api#documentation": "The URL that you use to connect to the Jupyter notebook running in your notebook\n instance.
" } }, "InstanceType": { @@ -49201,19 +49201,19 @@ "NotebookInstanceLifecycleConfigName": { "target": "com.amazonaws.sagemaker#NotebookInstanceLifecycleConfigName", "traits": { - "smithy.api#documentation": "The name of a notebook instance lifecycle configuration associated with this notebook\n instance.
\nFor information about notebook instance lifestyle configurations, see Step\n 2.1: (Optional) Customize a Notebook Instance.
" + "smithy.api#documentation": "The name of a notebook instance lifecycle configuration associated with this notebook\n instance.
\nFor information about notebook instance lifestyle configurations, see Step\n 2.1: (Optional) Customize a Notebook Instance.
" } }, "DefaultCodeRepository": { "target": "com.amazonaws.sagemaker#CodeRepositoryNameOrUrl", "traits": { - "smithy.api#documentation": "The Git repository associated with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "The Git repository associated with the notebook instance as its default code\n repository. This can be either the name of a Git repository stored as a resource in your\n account, or the URL of a Git repository in Amazon Web Services CodeCommit\n or in any other Git repository. When you open a notebook instance, it opens in the\n directory that contains this repository. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" } }, "AdditionalCodeRepositories": { "target": "com.amazonaws.sagemaker#AdditionalCodeRepositoryNamesOrUrls", "traits": { - "smithy.api#documentation": "An array of up to three Git repositories associated with the notebook instance. These\n can be either the names of Git repositories stored as resources in your account, or the\n URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" + "smithy.api#documentation": "An array of up to three Git repositories associated with the notebook instance. These\n can be either the names of Git repositories stored as resources in your account, or the\n URL of Git repositories in Amazon Web Services CodeCommit\n or in any other Git repository. These repositories are cloned at the same level as the\n default repository of your notebook instance. For more information, see Associating Git\n Repositories with SageMaker Notebook Instances.
" } } }, @@ -50344,7 +50344,7 @@ "CompilerOptions": { "target": "com.amazonaws.sagemaker#CompilerOptions", "traits": { - "smithy.api#documentation": "Specifies additional parameters for compiler options in JSON format. The compiler\n options are TargetPlatform specific. It is required for NVIDIA accelerators\n and highly recommended for CPU compilations. For any other cases, it is optional to\n specify CompilerOptions.\n
\n DTYPE: Specifies the data type for the input. When compiling for\n ml_* (except for ml_inf) instances using PyTorch\n framework, provide the data type (dtype) of the model's input.\n \"float32\" is used if \"DTYPE\" is not specified.\n Options for data type are:
float32: Use either \"float\" or\n \"float32\".
int64: Use either \"int64\" or \"long\".
For example, {\"dtype\" : \"float32\"}.
\n CPU: Compilation for CPU supports the following compiler\n options.
\n mcpu: CPU micro-architecture. For example, {'mcpu':\n 'skylake-avx512'}\n
\n mattr: CPU flags. For example, {'mattr': ['+neon',\n '+vfpv4']}\n
\n ARM: Details of ARM CPU compilations.
\n NEON: NEON is an implementation of the Advanced SIMD\n extension used in ARMv7 processors.
For example, add {'mattr': ['+neon']} to the compiler\n options if compiling for ARM 32-bit platform with the NEON\n support.
\n NVIDIA: Compilation for NVIDIA GPU supports the following\n compiler options.
\n gpu_code: Specifies the targeted architecture.
\n trt-ver: Specifies the TensorRT versions in x.y.z.\n format.
\n cuda-ver: Specifies the CUDA version in x.y\n format.
For example, {'gpu-code': 'sm_72', 'trt-ver': '6.0.1', 'cuda-ver':\n '10.1'}\n
\n ANDROID: Compilation for the Android OS supports the following\n compiler options:
\n ANDROID_PLATFORM: Specifies the Android API levels.\n Available levels range from 21 to 29. For example,\n {'ANDROID_PLATFORM': 28}.
\n mattr: Add {'mattr': ['+neon']} to compiler\n options if compiling for ARM 32-bit platform with NEON support.
\n INFERENTIA: Compilation for target ml_inf1 uses compiler options\n passed in as a JSON string. For example, \"CompilerOptions\": \"\\\"--verbose 1\n --num-neuroncores 2 -O2\\\"\".
For information about supported compiler options, see Neuron Compiler CLI Reference Guide.
\n\n CoreML: Compilation for the CoreML OutputConfig\n TargetDevice supports the following compiler options:
\n class_labels: Specifies the classification labels file\n name inside input tar.gz file. For example, {\"class_labels\":\n \"imagenet_labels_1000.txt\"}. Labels inside the txt file\n should be separated by newlines.
\n EIA: Compilation for the Elastic Inference Accelerator supports\n the following compiler options:
\n precision_mode: Specifies the precision of compiled\n artifacts. Supported values are \"FP16\" and\n \"FP32\". Default is \"FP32\".
\n signature_def_key: Specifies the signature to use for\n models in SavedModel format. Defaults is TensorFlow's default signature\n def key.
\n output_names: Specifies a list of output tensor names for\n models in FrozenGraph format. Set at most one API field, either:\n signature_def_key or output_names.
For example: {\"precision_mode\": \"FP32\", \"output_names\":\n [\"output:0\"]}\n
Specifies additional parameters for compiler options in JSON format. The compiler\n options are TargetPlatform specific. It is required for NVIDIA accelerators\n and highly recommended for CPU compilations. For any other cases, it is optional to\n specify CompilerOptions.\n
\n DTYPE: Specifies the data type for the input. When compiling for\n ml_* (except for ml_inf) instances using PyTorch\n framework, provide the data type (dtype) of the model's input.\n \"float32\" is used if \"DTYPE\" is not specified.\n Options for data type are:
float32: Use either \"float\" or\n \"float32\".
int64: Use either \"int64\" or \"long\".
For example, {\"dtype\" : \"float32\"}.
\n CPU: Compilation for CPU supports the following compiler\n options.
\n mcpu: CPU micro-architecture. For example, {'mcpu':\n 'skylake-avx512'}\n
\n mattr: CPU flags. For example, {'mattr': ['+neon',\n '+vfpv4']}\n
\n ARM: Details of ARM CPU compilations.
\n NEON: NEON is an implementation of the Advanced SIMD\n extension used in ARMv7 processors.
For example, add {'mattr': ['+neon']} to the compiler\n options if compiling for ARM 32-bit platform with the NEON\n support.
\n NVIDIA: Compilation for NVIDIA GPU supports the following\n compiler options.
\n gpu_code: Specifies the targeted architecture.
\n trt-ver: Specifies the TensorRT versions in x.y.z.\n format.
\n cuda-ver: Specifies the CUDA version in x.y\n format.
For example, {'gpu-code': 'sm_72', 'trt-ver': '6.0.1', 'cuda-ver':\n '10.1'}\n
\n ANDROID: Compilation for the Android OS supports the following\n compiler options:
\n ANDROID_PLATFORM: Specifies the Android API levels.\n Available levels range from 21 to 29. For example,\n {'ANDROID_PLATFORM': 28}.
\n mattr: Add {'mattr': ['+neon']} to compiler\n options if compiling for ARM 32-bit platform with NEON support.
\n INFERENTIA: Compilation for target ml_inf1 uses compiler options\n passed in as a JSON string. For example, \"CompilerOptions\": \"\\\"--verbose 1\n --num-neuroncores 2 -O2\\\"\".
For information about supported compiler options, see Neuron Compiler CLI Reference Guide.
\n\n CoreML: Compilation for the CoreML OutputConfig\n TargetDevice supports the following compiler options:
\n class_labels: Specifies the classification labels file\n name inside input tar.gz file. For example, {\"class_labels\":\n \"imagenet_labels_1000.txt\"}. Labels inside the txt file\n should be separated by newlines.
The size of the Elastic Inference (EI) instance to use for the production variant. EI\n instances provide on-demand GPU computing for inference. For more information, see\n Using Elastic\n Inference in Amazon SageMaker.
" + "smithy.api#documentation": "This parameter is no longer supported. Elastic Inference (EI) is no longer\n available.
\nThis parameter was used to specify the size of the EI instance to use for the\n production variant.
" } }, "VariantStatus": { @@ -51559,7 +51559,7 @@ "min": 0, "max": 15 }, - "smithy.api#pattern": "^(notebook-al1-v1|notebook-al2-v1|notebook-al2-v2)$" + "smithy.api#pattern": "^(notebook-al1-v1|notebook-al2-v1|notebook-al2-v2|notebook-al2-v3)$" } }, "com.amazonaws.sagemaker#PolicyString": { @@ -52747,7 +52747,7 @@ "AcceleratorType": { "target": "com.amazonaws.sagemaker#ProductionVariantAcceleratorType", "traits": { - "smithy.api#documentation": "The size of the Elastic Inference (EI) instance to use for the production variant. EI\n instances provide on-demand GPU computing for inference. For more information, see\n Using Elastic\n Inference in Amazon SageMaker.
" + "smithy.api#documentation": "This parameter is no longer supported. Elastic Inference (EI) is no longer\n available.
\nThis parameter was used to specify the size of the EI instance to use for the\n production variant.
" } }, "CoreDumpConfig": { @@ -56973,7 +56973,7 @@ "HomeEfsFileSystem": { "target": "com.amazonaws.sagemaker#RetentionType", "traits": { - "smithy.api#documentation": "The default is Retain, which specifies to keep the data stored on the Amazon EFS volume.
Specify Delete to delete the data stored on the Amazon EFS volume.
The default is Retain, which specifies to keep the data stored on the\n Amazon EFS volume.
Specify Delete to delete the data stored on the Amazon EFS\n volume.
The Amazon S3 URI of the manifest file. The manifest file is a CSV file that stores the artifact locations.
" + "smithy.api#documentation": "The Amazon S3 URI of the manifest file. The manifest file is a CSV file that stores the\n artifact locations.
" } } }, @@ -61175,7 +61175,7 @@ "CustomFileSystems": { "target": "com.amazonaws.sagemaker#CustomFileSystems", "traits": { - "smithy.api#documentation": "A file system, created by you, that you assign to a space for an Amazon SageMaker\n Domain. Permitted users can access this file system in Amazon SageMaker\n Studio.
" + "smithy.api#documentation": "A file system, created by you, that you assign to a space for an Amazon SageMaker\n Domain. Permitted users can access this file system in Amazon SageMaker\n Studio.
" } } }, @@ -61612,7 +61612,7 @@ } ], "traits": { - "smithy.api#documentation": "Launches an ML compute instance with the latest version of the libraries and\n attaches your ML storage volume. After configuring the notebook instance, SageMaker sets the\n notebook instance status to InService. A notebook instance's status must be\n InService before you can connect to your Jupyter notebook.
Launches an ML compute instance with the latest version of the libraries and\n attaches your ML storage volume. After configuring the notebook instance, SageMaker sets the notebook instance status to InService. A notebook\n instance's status must be InService before you can connect to your Jupyter\n notebook.
Terminates the ML compute instance. Before terminating the instance, SageMaker\n disconnects the ML storage volume from it. SageMaker preserves the ML storage volume. SageMaker\n stops charging you for the ML compute instance when you call\n StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been\n terminated, call the StartNotebookInstance API.\n StartNotebookInstance launches another ML compute instance, configures\n it, and attaches the preserved ML storage volume so you can continue your work.\n
Terminates the ML compute instance. Before terminating the instance, SageMaker disconnects the ML storage volume from it. SageMaker preserves the\n ML storage volume. SageMaker stops charging you for the ML compute instance when\n you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been\n terminated, call the StartNotebookInstance API.\n StartNotebookInstance launches another ML compute instance, configures\n it, and attaches the preserved ML storage volume so you can continue your work.\n
The configuration of the git repository, including the URL and the Amazon Resource\n Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the\n credentials used to access the repository. The secret must have a staging label of\n AWSCURRENT and must be in the following format:
\n {\"username\": UserName, \"password\":\n Password}\n
The configuration of the git repository, including the URL and the Amazon Resource\n Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the\n credentials used to access the repository. The secret must have a staging label of\n AWSCURRENT and must be in the following format:
\n {\"username\": UserName, \"password\":\n Password}\n
The default settings used to create a space within the domain.
" + "smithy.api#documentation": "The default settings for shared spaces that users create in the domain.
" } }, "SubnetIds": { @@ -69412,7 +69430,7 @@ "RoleArn": { "target": "com.amazonaws.sagemaker#RoleArn", "traits": { - "smithy.api#documentation": "The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access the\n notebook instance. For more information, see SageMaker Roles.
\nTo be able to pass this role to SageMaker, the caller of this API must have the\n iam:PassRole permission.
The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to\n access the notebook instance. For more information, see SageMaker Roles.
\nTo be able to pass this role to SageMaker, the caller of this API must\n have the iam:PassRole permission.
The size, in GB, of the ML storage volume to attach to the notebook instance. The\n default value is 5 GB. ML storage volumes are encrypted, so SageMaker can't determine the\n amount of available free space on the volume. Because of this, you can increase the\n volume size when you update a notebook instance, but you can't decrease the volume size.\n If you want to decrease the size of the ML storage volume in use, create a new notebook\n instance with the desired size.
" + "smithy.api#documentation": "The size, in GB, of the ML storage volume to attach to the notebook instance. The\n default value is 5 GB. ML storage volumes are encrypted, so SageMaker can't\n determine the amount of available free space on the volume. Because of this, you can\n increase the volume size when you update a notebook instance, but you can't decrease the\n volume size. If you want to decrease the size of the ML storage volume in use, create a\n new notebook instance with the desired size.
" } }, "DefaultCodeRepository": { @@ -69448,13 +69466,13 @@ "AcceleratorTypes": { "target": "com.amazonaws.sagemaker#NotebookInstanceAcceleratorTypes", "traits": { - "smithy.api#documentation": "A list of the Elastic Inference (EI) instance types to associate with this notebook\n instance. Currently only one EI instance type can be associated with a notebook\n instance. For more information, see Using Elastic Inference in\n Amazon SageMaker.
" + "smithy.api#documentation": "This parameter is no longer supported. Elastic Inference (EI) is no longer\n available.
\nThis parameter was used to specify a list of the EI instance types to associate with\n this notebook instance.
" } }, "DisassociateAcceleratorTypes": { "target": "com.amazonaws.sagemaker#DisassociateNotebookInstanceAcceleratorTypes", "traits": { - "smithy.api#documentation": "A list of the Elastic Inference (EI) instance types to remove from this notebook\n instance. This operation is idempotent. If you specify an accelerator type that is not\n associated with the notebook instance when you call this method, it does not throw an\n error.
" + "smithy.api#documentation": "This parameter is no longer supported. Elastic Inference (EI) is no longer\n available.
\nThis parameter was used to specify a list of the EI instance types to remove from this notebook\n instance.
" } }, "DisassociateDefaultCodeRepository": { @@ -69517,13 +69535,13 @@ "OnCreate": { "target": "com.amazonaws.sagemaker#NotebookInstanceLifecycleConfigList", "traits": { - "smithy.api#documentation": "The shell script that runs only once, when you create a notebook instance. The shell\n script must be a base64-encoded string.
" + "smithy.api#documentation": "The shell script that runs only once, when you create a notebook instance. The shell\n script must be a base64-encoded string.
" } }, "OnStart": { "target": "com.amazonaws.sagemaker#NotebookInstanceLifecycleConfigList", "traits": { - "smithy.api#documentation": "The shell script that runs every time you start a notebook instance, including when\n you create the notebook instance. The shell script must be a base64-encoded\n string.
" + "smithy.api#documentation": "The shell script that runs every time you start a notebook instance, including when\n you create the notebook instance. The shell script must be a base64-encoded\n string.
" } } }, @@ -70464,13 +70482,13 @@ "ExecutionRole": { "target": "com.amazonaws.sagemaker#RoleArn", "traits": { - "smithy.api#documentation": "The execution role for the user.
" + "smithy.api#documentation": "The execution role for the user.
\nSageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn't apply this setting to shared spaces.
" } }, "SecurityGroups": { "target": "com.amazonaws.sagemaker#SecurityGroupIds", "traits": { - "smithy.api#documentation": "The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for\n communication.
\nOptional when the CreateDomain.AppNetworkAccessType parameter is set to\n PublicInternetOnly.
Required when the CreateDomain.AppNetworkAccessType parameter is set to\n VpcOnly, unless specified as part of the DefaultUserSettings for\n the domain.
Amazon SageMaker adds a security group to allow NFS traffic from Amazon SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the\n maximum number shown.
" + "smithy.api#documentation": "The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for\n communication.
\nOptional when the CreateDomain.AppNetworkAccessType parameter is set to\n PublicInternetOnly.
Required when the CreateDomain.AppNetworkAccessType parameter is set to\n VpcOnly, unless specified as part of the DefaultUserSettings for\n the domain.
Amazon SageMaker adds a security group to allow NFS traffic from Amazon SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the\n maximum number shown.
\nSageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
" } }, "SharingSettings": { @@ -70512,25 +70530,25 @@ "CanvasAppSettings": { "target": "com.amazonaws.sagemaker#CanvasAppSettings", "traits": { - "smithy.api#documentation": "The Canvas app settings.
" + "smithy.api#documentation": "The Canvas app settings.
\nSageMaker applies these settings only to private spaces that SageMaker creates for the Canvas app.
" } }, "CodeEditorAppSettings": { "target": "com.amazonaws.sagemaker#CodeEditorAppSettings", "traits": { - "smithy.api#documentation": "The Code Editor application settings.
" + "smithy.api#documentation": "The Code Editor application settings.
\nSageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
" } }, "JupyterLabAppSettings": { "target": "com.amazonaws.sagemaker#JupyterLabAppSettings", "traits": { - "smithy.api#documentation": "The settings for the JupyterLab application.
" + "smithy.api#documentation": "The settings for the JupyterLab application.
\nSageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
" } }, "SpaceStorageSettings": { "target": "com.amazonaws.sagemaker#DefaultSpaceStorageSettings", "traits": { - "smithy.api#documentation": "The storage settings for a space.
" + "smithy.api#documentation": "The storage settings for a space.
\nSageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
" } }, "DefaultLandingUri": { @@ -70548,13 +70566,13 @@ "CustomPosixUserConfig": { "target": "com.amazonaws.sagemaker#CustomPosixUserConfig", "traits": { - "smithy.api#documentation": "Details about the POSIX identity that is used for file system operations.
" + "smithy.api#documentation": "Details about the POSIX identity that is used for file system operations.
\nSageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
" } }, "CustomFileSystemConfigs": { "target": "com.amazonaws.sagemaker#CustomFileSystemConfigs", "traits": { - "smithy.api#documentation": "The settings for assigning a custom file system to a user profile. Permitted users can\n access this file system in Amazon SageMaker Studio.
" + "smithy.api#documentation": "The settings for assigning a custom file system to a user profile. Permitted users can\n access this file system in Amazon SageMaker Studio.
\nSageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn't apply these settings to shared spaces.
" } }, "StudioWebPortalSettings": { @@ -70566,7 +70584,7 @@ "AutoMountHomeEFS": { "target": "com.amazonaws.sagemaker#AutoMountHomeEFS", "traits": { - "smithy.api#documentation": "Indicates whether auto-mounting of an EFS volume is supported for the user profile. The\n DefaultAsDomain value is only supported for user profiles. Do not use the\n DefaultAsDomain value when setting this parameter for a domain.
Indicates whether auto-mounting of an EFS volume is supported for the user profile. The\n DefaultAsDomain value is only supported for user profiles. Do not use the\n DefaultAsDomain value when setting this parameter for a domain.
SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn't apply this setting to shared spaces.
" } } }, @@ -70912,7 +70930,7 @@ } }, "traits": { - "smithy.api#documentation": "Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources\n have access to. You can control access to and from your resources by configuring a VPC.\n For more information, see Give SageMaker Access to Resources in your Amazon VPC.
" + "smithy.api#documentation": "Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources\n have access to. You can control access to and from your resources by configuring a VPC.\n For more information, see Give SageMaker Access to\n Resources in your Amazon VPC.
" } }, "com.amazonaws.sagemaker#VpcId": {