/******************************************************************************* * Copyright 2012-2019 Amazon.com, Inc. or its affiliates. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"). You may not use * this file except in compliance with the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. * This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the * specific language governing permissions and limitations under the License. * ***************************************************************************** * * AWS Tools for Windows (TM) PowerShell (TM) * */ using System; using System.Collections.Generic; using System.Linq; using System.Management.Automation; using System.Text; using Amazon.PowerShell.Common; using Amazon.Runtime; using Amazon.SageMaker; using Amazon.SageMaker.Model; namespace Amazon.PowerShell.Cmdlets.SM { /// /// Starts a transform job. A transform job uses a trained model to get inferences on /// a dataset and saves these results to an Amazon S3 location that you specify. /// /// /// /// To perform batch transformations, you create a transform job and use the data that /// you have readily available. /// /// In the request body, you provide the following: /// /// For more information about how batch transformation works, see Batch /// Transform. /// /// [Cmdlet("New", "SMTransformJob", SupportsShouldProcess = true, ConfirmImpact = ConfirmImpact.Medium)] [OutputType("System.String")] [AWSCmdlet("Calls the Amazon SageMaker Service CreateTransformJob API operation.", Operation = new[] {"CreateTransformJob"}, SelectReturnType = typeof(Amazon.SageMaker.Model.CreateTransformJobResponse))] [AWSCmdletOutput("System.String or Amazon.SageMaker.Model.CreateTransformJobResponse", "This cmdlet returns a System.String object.", "The service call response (type Amazon.SageMaker.Model.CreateTransformJobResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack." )] public partial class NewSMTransformJobCmdlet : AmazonSageMakerClientCmdlet, IExecutor { #region Parameter TransformOutput_Accept /// /// /// The MIME type used to specify the output data. Amazon SageMaker uses the MIME type /// with each http call to transfer data from the transform job. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String TransformOutput_Accept { get; set; } #endregion #region Parameter TransformOutput_AssembleWith /// /// /// Defines how to assemble the results of the transform job as a single S3 object. Choose /// a format that is most convenient to you. To concatenate the results in binary format, /// specify None. To add a newline character at the end of every transformed /// record, specify Line. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [AWSConstantClassSource("Amazon.SageMaker.AssemblyType")] public Amazon.SageMaker.AssemblyType TransformOutput_AssembleWith { get; set; } #endregion #region Parameter BatchStrategy /// /// /// Specifies the number of records to include in a mini-batch for an HTTP inference request. /// A record is a single unit of input data that inference can be made on. /// For example, a single line in a CSV file is a record. To enable the batch strategy, you must set the SplitType property to /// Line, RecordIO, or TFRecord.To use only one record when making an HTTP invocation request to a container, set /// BatchStrategy to SingleRecord and SplitType /// to Line.To fit as many records in a mini-batch as can fit within the MaxPayloadInMB /// limit, set BatchStrategy to MultiRecord and SplitType /// to Line. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [AWSConstantClassSource("Amazon.SageMaker.BatchStrategy")] public Amazon.SageMaker.BatchStrategy BatchStrategy { get; set; } #endregion #region Parameter TransformInput_CompressionType /// /// /// If your transform data is compressed, specify the compression type. Amazon SageMaker /// automatically decompresses the data for the transform job accordingly. The default /// value is None. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [AWSConstantClassSource("Amazon.SageMaker.CompressionType")] public Amazon.SageMaker.CompressionType TransformInput_CompressionType { get; set; } #endregion #region Parameter TransformInput_ContentType /// /// /// The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker /// uses the MIME type with each http call to transfer data to the transform job. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String TransformInput_ContentType { get; set; } #endregion #region Parameter DataCaptureConfig_DestinationS3Uri /// /// /// The Amazon S3 location being used to capture the data. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String DataCaptureConfig_DestinationS3Uri { get; set; } #endregion #region Parameter Environment /// /// /// The environment variables to set in the Docker container. We support up to 16 key /// and values entries in the map. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.Collections.Hashtable Environment { get; set; } #endregion #region Parameter ExperimentConfig_ExperimentName /// /// /// The name of an existing experiment to associate with the trial component. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String ExperimentConfig_ExperimentName { get; set; } #endregion #region Parameter DataCaptureConfig_GenerateInferenceId /// /// /// Flag that indicates whether to append inference id to the output. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.Boolean? DataCaptureConfig_GenerateInferenceId { get; set; } #endregion #region Parameter DataProcessing_InputFilter /// /// /// A JSONPath /// expression used to select a portion of the input data to pass to the algorithm. Use /// the InputFilter parameter to exclude fields, such as an ID column, from /// the input. If you want SageMaker to pass the entire input dataset to the algorithm, /// accept the default value $.Examples: "$", "$[1:]", "$.features" /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String DataProcessing_InputFilter { get; set; } #endregion #region Parameter TransformResources_InstanceCount /// /// /// The number of ML compute instances to use in the transform job. The default value /// is 1, and the maximum is 100. For distributed transform /// jobs, specify a value greater than 1. /// /// #if !MODULAR [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] #else [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)] [System.Management.Automation.AllowNull] #endif [Amazon.PowerShell.Common.AWSRequiredParameter] public System.Int32? TransformResources_InstanceCount { get; set; } #endregion #region Parameter TransformResources_InstanceType /// /// /// The ML compute instance type for the transform job. If you are using built-in algorithms /// to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance /// types. /// /// #if !MODULAR [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] #else [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)] [System.Management.Automation.AllowNull] #endif [Amazon.PowerShell.Common.AWSRequiredParameter] [AWSConstantClassSource("Amazon.SageMaker.TransformInstanceType")] public Amazon.SageMaker.TransformInstanceType TransformResources_InstanceType { get; set; } #endregion #region Parameter ModelClientConfig_InvocationsMaxRetry /// /// /// The maximum number of retries when invocation requests are failing. The default value /// is 3. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("ModelClientConfig_InvocationsMaxRetries")] public System.Int32? ModelClientConfig_InvocationsMaxRetry { get; set; } #endregion #region Parameter ModelClientConfig_InvocationsTimeoutInSecond /// /// /// The timeout value in seconds for an invocation request. The default value is 600. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("ModelClientConfig_InvocationsTimeoutInSeconds")] public System.Int32? ModelClientConfig_InvocationsTimeoutInSecond { get; set; } #endregion #region Parameter DataProcessing_JoinSource /// /// /// Specifies the source of the data to join with the transformed data. The valid values /// are None and Input. The default value is None, /// which specifies not to join the input with the transformed data. If you want the batch /// transform job to join the original input data with the transformed data, set JoinSource /// to Input. You can specify OutputFilter as an additional /// filter to select a portion of the joined dataset and store it in the output file.For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed /// data to the input JSON object in an attribute called SageMakerOutput. /// The joined result for JSON must be a key-value pair object. If the input is not a /// key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and /// the input data is stored under the SageMakerInput key and the results /// are stored in SageMakerOutput.For CSV data, SageMaker takes each row as a JSON array and joins the transformed data /// with the input by appending each transformed row to the end of the input. The joined /// data has the original input data followed by the transformed data and the output is /// a CSV file.For information on how joining in applied, see Workflow /// for Associating Inferences with Input Records. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [AWSConstantClassSource("Amazon.SageMaker.JoinSource")] public Amazon.SageMaker.JoinSource DataProcessing_JoinSource { get; set; } #endregion #region Parameter DataCaptureConfig_KmsKeyId /// /// /// 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 the ML compute /// instance that hosts the batch transform job.The KmsKeyId can be any of the following formats:
  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
/// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String DataCaptureConfig_KmsKeyId { get; set; } #endregion #region Parameter TransformOutput_KmsKeyId /// /// /// The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that /// Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side /// encryption. The KmsKeyId can be any of the following formats:
  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon /// S3 for your role's account. For more information, see KMS-Managed /// Encryption Keys in the Amazon Simple Storage Service Developer Guide.The KMS key policy must grant permission to the IAM role that you specify in your /// CreateModel /// request. For more information, see Using /// Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management /// Service Developer Guide. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String TransformOutput_KmsKeyId { get; set; } #endregion #region Parameter MaxConcurrentTransform /// /// /// The maximum number of parallel requests that can be sent to each instance in a transform /// job. If MaxConcurrentTransforms is set to 0 or left unset, /// Amazon SageMaker checks the optional execution-parameters to determine the settings /// for your chosen algorithm. If the execution-parameters endpoint is not enabled, the /// default value is 1. For more information on execution-parameters, see /// How /// Containers Serve Requests. For built-in algorithms, you don't need to set a value /// for MaxConcurrentTransforms. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("MaxConcurrentTransforms")] public System.Int32? MaxConcurrentTransform { get; set; } #endregion #region Parameter MaxPayloadInMB /// /// /// The maximum allowed size of the payload, in MB. A payload is the data portion /// of a record (without metadata). The value in MaxPayloadInMB must be greater /// than, or equal to, the size of a single record. To estimate the size of a record in /// MB, divide the size of your dataset by the number of records. To ensure that the records /// fit within the maximum payload size, we recommend using a slightly larger value. The /// default value is 6 MB. The value of MaxPayloadInMB cannot be greater than 100 MB. If you specify /// the MaxConcurrentTransforms parameter, the value of (MaxConcurrentTransforms /// * MaxPayloadInMB) also cannot exceed 100 MB.For cases where the payload might be arbitrarily large and is transmitted using HTTP /// chunked encoding, set the value to 0. This feature works only in supported /// algorithms. Currently, Amazon SageMaker built-in algorithms do not support HTTP chunked /// encoding. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.Int32? MaxPayloadInMB { get; set; } #endregion #region Parameter ModelName /// /// /// The name of the model that you want to use for the transform job. ModelName /// must be the name of an existing Amazon SageMaker model within an Amazon Web Services /// Region in an Amazon Web Services account. /// /// #if !MODULAR [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] #else [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)] [System.Management.Automation.AllowEmptyString] [System.Management.Automation.AllowNull] #endif [Amazon.PowerShell.Common.AWSRequiredParameter] public System.String ModelName { get; set; } #endregion #region Parameter DataProcessing_OutputFilter /// /// /// A JSONPath /// expression used to select a portion of the joined dataset to save in the output file /// for a batch transform job. If you want SageMaker to store the entire input dataset /// in the output file, leave the default value, $. If you specify indexes /// that aren't within the dimension size of the joined dataset, you get an error.Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']" /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String DataProcessing_OutputFilter { get; set; } #endregion #region Parameter ExperimentConfig_RunName /// /// /// The name of the experiment run to associate with the trial component. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String ExperimentConfig_RunName { get; set; } #endregion #region Parameter S3DataSource_S3DataType /// /// /// If you choose S3Prefix, S3Uri identifies a key name prefix. /// Amazon SageMaker uses all objects with the specified key name prefix for batch transform. /// If you choose ManifestFile, S3Uri identifies an object that /// is a manifest file containing a list of object keys that you want Amazon SageMaker /// to use for batch transform. The following values are compatible: ManifestFile, S3PrefixThe following value is not compatible: AugmentedManifestFile /// /// #if !MODULAR [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] #else [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)] [System.Management.Automation.AllowNull] #endif [Amazon.PowerShell.Common.AWSRequiredParameter] [Alias("TransformInput_DataSource_S3DataSource_S3DataType")] [AWSConstantClassSource("Amazon.SageMaker.S3DataType")] public Amazon.SageMaker.S3DataType S3DataSource_S3DataType { get; set; } #endregion #region Parameter TransformOutput_S3OutputPath /// /// /// The Amazon S3 path where you want Amazon SageMaker to store the results of the transform /// job. For example, s3://bucket-name/key-name-prefix.For every S3 object used as input for the transform job, batch transform stores the /// transformed data with an .out suffix in a corresponding subfolder in /// the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv, /// batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out. /// Batch transform doesn't upload partially processed objects. For an input S3 object /// that contains multiple records, it creates an .out file only if the transform /// job succeeds on the entire file. When the input contains multiple S3 objects, the /// batch transform job processes the listed S3 objects and uploads only the output for /// successfully processed objects. If any object fails in the transform job batch transform /// marks the job as failed to prompt investigation. /// /// #if !MODULAR [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] #else [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)] [System.Management.Automation.AllowEmptyString] [System.Management.Automation.AllowNull] #endif [Amazon.PowerShell.Common.AWSRequiredParameter] public System.String TransformOutput_S3OutputPath { get; set; } #endregion #region Parameter S3DataSource_S3Uri /// /// /// Depending on the value specified for the S3DataType, identifies either /// a key name prefix or a manifest. For example:
  • A key name prefix might look like this: s3://bucketname/exampleprefix. ///
  • A manifest might look like this: s3://bucketname/example.manifest The manifest is an S3 object which is a JSON file with the following format: [ {"prefix": "s3://customer_bucket/some/prefix/"},"relative/path/to/custdata-1","relative/path/custdata-2",..."relative/path/custdata-N"] The preceding JSON matches the following S3Uris: s3://customer_bucket/some/prefix/relative/path/to/custdata-1s3://customer_bucket/some/prefix/relative/path/custdata-2...s3://customer_bucket/some/prefix/relative/path/custdata-N The complete set of S3Uris in this manifest constitutes the input data /// for the channel for this datasource. The object that each S3Uris points /// to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on /// your behalf.
/// /// #if !MODULAR [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] #else [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)] [System.Management.Automation.AllowEmptyString] [System.Management.Automation.AllowNull] #endif [Amazon.PowerShell.Common.AWSRequiredParameter] [Alias("TransformInput_DataSource_S3DataSource_S3Uri")] public System.String S3DataSource_S3Uri { get; set; } #endregion #region Parameter TransformInput_SplitType /// /// /// The method to use to split the transform job's data files into smaller batches. Splitting /// is necessary when the total size of each object is too large to fit in a single request. /// You can also use data splitting to improve performance by processing multiple concurrent /// mini-batches. The default value for SplitType is None, which /// indicates that input data files are not split, and request payloads contain the entire /// contents of an input object. Set the value of this parameter to Line /// to split records on a newline character boundary. SplitType also supports /// a number of record-oriented binary data formats. Currently, the supported record formats /// are:
  • RecordIO
  • TFRecord
When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy /// and MaxPayloadInMB parameters. When the value of BatchStrategy /// is MultiRecord, Amazon SageMaker sends the maximum number of records /// in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy /// is SingleRecord, Amazon SageMaker sends individual records in each request.Some data formats represent a record as a binary payload wrapped with extra padding /// bytes. When splitting is applied to a binary data format, padding is removed if the /// value of BatchStrategy is set to SingleRecord. Padding is /// not removed if the value of BatchStrategy is set to MultiRecord.For more information about RecordIO, see Create /// a Dataset Using RecordIO in the MXNet documentation. For more information about /// TFRecord, see Consuming /// TFRecord data in the TensorFlow documentation. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [AWSConstantClassSource("Amazon.SageMaker.SplitType")] public Amazon.SageMaker.SplitType TransformInput_SplitType { get; set; } #endregion #region Parameter Tag /// /// /// (Optional) An array of key-value pairs. For more information, see Using /// Cost Allocation Tags in the Amazon Web Services Billing and Cost Management /// User Guide. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("Tags")] public Amazon.SageMaker.Model.Tag[] Tag { get; set; } #endregion #region Parameter TransformJobName /// /// /// The name of the transform job. The name must be unique within an Amazon Web Services /// Region in an Amazon Web Services account. /// /// #if !MODULAR [System.Management.Automation.Parameter(Position = 0, ValueFromPipelineByPropertyName = true, ValueFromPipeline = true)] #else [System.Management.Automation.Parameter(Position = 0, ValueFromPipelineByPropertyName = true, ValueFromPipeline = true, Mandatory = true)] [System.Management.Automation.AllowEmptyString] [System.Management.Automation.AllowNull] #endif [Amazon.PowerShell.Common.AWSRequiredParameter] public System.String TransformJobName { get; set; } #endregion #region Parameter ExperimentConfig_TrialComponentDisplayName /// /// /// The display name for the trial component. If this key isn't specified, the display /// name is the trial component name. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String ExperimentConfig_TrialComponentDisplayName { get; set; } #endregion #region Parameter ExperimentConfig_TrialName /// /// /// The name of an existing trial to associate the trial component with. If not specified, /// a new trial is created. /// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String ExperimentConfig_TrialName { get; set; } #endregion #region Parameter TransformResources_VolumeKmsKeyId /// /// /// The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that /// Amazon SageMaker uses to encrypt model data on the storage volume attached to the /// ML compute instance(s) that run the batch transform job.Certain Nitro-based instances include local storage, dependent on the instance type. /// Local storage volumes are encrypted using a hardware module on the instance. You can't /// request a VolumeKmsKeyId when using an instance type with local storage.For a list of instance types that support local instance storage, see Instance /// Store Volumes.For more information about local instance storage encryption, see SSD /// Instance Store Volumes. The VolumeKmsKeyId can be any of the following formats:
  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
/// /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String TransformResources_VolumeKmsKeyId { get; set; } #endregion #region Parameter Select /// /// Use the -Select parameter to control the cmdlet output. The default value is 'TransformJobArn'. /// Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateTransformJobResponse). /// Specifying the name of a property of type Amazon.SageMaker.Model.CreateTransformJobResponse will result in that property being returned. /// Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public string Select { get; set; } = "TransformJobArn"; #endregion #region Parameter PassThru /// /// Changes the cmdlet behavior to return the value passed to the TransformJobName parameter. /// The -PassThru parameter is deprecated, use -Select '^TransformJobName' instead. This parameter will be removed in a future version. /// [System.Obsolete("The -PassThru parameter is deprecated, use -Select '^TransformJobName' instead. This parameter will be removed in a future version.")] [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public SwitchParameter PassThru { get; set; } #endregion #region Parameter Force /// /// This parameter overrides confirmation prompts to force /// the cmdlet to continue its operation. This parameter should always /// be used with caution. /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public SwitchParameter Force { get; set; } #endregion protected override void ProcessRecord() { this._AWSSignerType = "v4"; base.ProcessRecord(); var resourceIdentifiersText = FormatParameterValuesForConfirmationMsg(nameof(this.TransformJobName), MyInvocation.BoundParameters); if (!ConfirmShouldProceed(this.Force.IsPresent, resourceIdentifiersText, "New-SMTransformJob (CreateTransformJob)")) { return; } var context = new CmdletContext(); // allow for manipulation of parameters prior to loading into context PreExecutionContextLoad(context); #pragma warning disable CS0618, CS0612 //A class member was marked with the Obsolete attribute if (ParameterWasBound(nameof(this.Select))) { context.Select = CreateSelectDelegate(Select) ?? throw new System.ArgumentException("Invalid value for -Select parameter.", nameof(this.Select)); if (this.PassThru.IsPresent) { throw new System.ArgumentException("-PassThru cannot be used when -Select is specified.", nameof(this.Select)); } } else if (this.PassThru.IsPresent) { context.Select = (response, cmdlet) => this.TransformJobName; } #pragma warning restore CS0618, CS0612 //A class member was marked with the Obsolete attribute context.BatchStrategy = this.BatchStrategy; context.DataCaptureConfig_DestinationS3Uri = this.DataCaptureConfig_DestinationS3Uri; context.DataCaptureConfig_GenerateInferenceId = this.DataCaptureConfig_GenerateInferenceId; context.DataCaptureConfig_KmsKeyId = this.DataCaptureConfig_KmsKeyId; context.DataProcessing_InputFilter = this.DataProcessing_InputFilter; context.DataProcessing_JoinSource = this.DataProcessing_JoinSource; context.DataProcessing_OutputFilter = this.DataProcessing_OutputFilter; if (this.Environment != null) { context.Environment = new Dictionary(StringComparer.Ordinal); foreach (var hashKey in this.Environment.Keys) { context.Environment.Add((String)hashKey, (String)(this.Environment[hashKey])); } } context.ExperimentConfig_ExperimentName = this.ExperimentConfig_ExperimentName; context.ExperimentConfig_RunName = this.ExperimentConfig_RunName; context.ExperimentConfig_TrialComponentDisplayName = this.ExperimentConfig_TrialComponentDisplayName; context.ExperimentConfig_TrialName = this.ExperimentConfig_TrialName; context.MaxConcurrentTransform = this.MaxConcurrentTransform; context.MaxPayloadInMB = this.MaxPayloadInMB; context.ModelClientConfig_InvocationsMaxRetry = this.ModelClientConfig_InvocationsMaxRetry; context.ModelClientConfig_InvocationsTimeoutInSecond = this.ModelClientConfig_InvocationsTimeoutInSecond; context.ModelName = this.ModelName; #if MODULAR if (this.ModelName == null && ParameterWasBound(nameof(this.ModelName))) { WriteWarning("You are passing $null as a value for parameter ModelName which is marked as required. In case you believe this parameter was incorrectly marked as required, report this by opening an issue at https://github.com/aws/aws-tools-for-powershell/issues."); } #endif if (this.Tag != null) { context.Tag = new List(this.Tag); } context.TransformInput_CompressionType = this.TransformInput_CompressionType; context.TransformInput_ContentType = this.TransformInput_ContentType; context.S3DataSource_S3DataType = this.S3DataSource_S3DataType; #if MODULAR if (this.S3DataSource_S3DataType == null && ParameterWasBound(nameof(this.S3DataSource_S3DataType))) { WriteWarning("You are passing $null as a value for parameter S3DataSource_S3DataType which is marked as required. In case you believe this parameter was incorrectly marked as required, report this by opening an issue at https://github.com/aws/aws-tools-for-powershell/issues."); } #endif context.S3DataSource_S3Uri = this.S3DataSource_S3Uri; #if MODULAR if (this.S3DataSource_S3Uri == null && ParameterWasBound(nameof(this.S3DataSource_S3Uri))) { WriteWarning("You are passing $null as a value for parameter S3DataSource_S3Uri which is marked as required. In case you believe this parameter was incorrectly marked as required, report this by opening an issue at https://github.com/aws/aws-tools-for-powershell/issues."); } #endif context.TransformInput_SplitType = this.TransformInput_SplitType; context.TransformJobName = this.TransformJobName; #if MODULAR if (this.TransformJobName == null && ParameterWasBound(nameof(this.TransformJobName))) { WriteWarning("You are passing $null as a value for parameter TransformJobName which is marked as required. In case you believe this parameter was incorrectly marked as required, report this by opening an issue at https://github.com/aws/aws-tools-for-powershell/issues."); } #endif context.TransformOutput_Accept = this.TransformOutput_Accept; context.TransformOutput_AssembleWith = this.TransformOutput_AssembleWith; context.TransformOutput_KmsKeyId = this.TransformOutput_KmsKeyId; context.TransformOutput_S3OutputPath = this.TransformOutput_S3OutputPath; #if MODULAR if (this.TransformOutput_S3OutputPath == null && ParameterWasBound(nameof(this.TransformOutput_S3OutputPath))) { WriteWarning("You are passing $null as a value for parameter TransformOutput_S3OutputPath which is marked as required. In case you believe this parameter was incorrectly marked as required, report this by opening an issue at https://github.com/aws/aws-tools-for-powershell/issues."); } #endif context.TransformResources_InstanceCount = this.TransformResources_InstanceCount; #if MODULAR if (this.TransformResources_InstanceCount == null && ParameterWasBound(nameof(this.TransformResources_InstanceCount))) { WriteWarning("You are passing $null as a value for parameter TransformResources_InstanceCount which is marked as required. In case you believe this parameter was incorrectly marked as required, report this by opening an issue at https://github.com/aws/aws-tools-for-powershell/issues."); } #endif context.TransformResources_InstanceType = this.TransformResources_InstanceType; #if MODULAR if (this.TransformResources_InstanceType == null && ParameterWasBound(nameof(this.TransformResources_InstanceType))) { WriteWarning("You are passing $null as a value for parameter TransformResources_InstanceType which is marked as required. In case you believe this parameter was incorrectly marked as required, report this by opening an issue at https://github.com/aws/aws-tools-for-powershell/issues."); } #endif context.TransformResources_VolumeKmsKeyId = this.TransformResources_VolumeKmsKeyId; // allow further manipulation of loaded context prior to processing PostExecutionContextLoad(context); var output = Execute(context) as CmdletOutput; ProcessOutput(output); } #region IExecutor Members public object Execute(ExecutorContext context) { var cmdletContext = context as CmdletContext; // create request var request = new Amazon.SageMaker.Model.CreateTransformJobRequest(); if (cmdletContext.BatchStrategy != null) { request.BatchStrategy = cmdletContext.BatchStrategy; } // populate DataCaptureConfig var requestDataCaptureConfigIsNull = true; request.DataCaptureConfig = new Amazon.SageMaker.Model.BatchDataCaptureConfig(); System.String requestDataCaptureConfig_dataCaptureConfig_DestinationS3Uri = null; if (cmdletContext.DataCaptureConfig_DestinationS3Uri != null) { requestDataCaptureConfig_dataCaptureConfig_DestinationS3Uri = cmdletContext.DataCaptureConfig_DestinationS3Uri; } if (requestDataCaptureConfig_dataCaptureConfig_DestinationS3Uri != null) { request.DataCaptureConfig.DestinationS3Uri = requestDataCaptureConfig_dataCaptureConfig_DestinationS3Uri; requestDataCaptureConfigIsNull = false; } System.Boolean? requestDataCaptureConfig_dataCaptureConfig_GenerateInferenceId = null; if (cmdletContext.DataCaptureConfig_GenerateInferenceId != null) { requestDataCaptureConfig_dataCaptureConfig_GenerateInferenceId = cmdletContext.DataCaptureConfig_GenerateInferenceId.Value; } if (requestDataCaptureConfig_dataCaptureConfig_GenerateInferenceId != null) { request.DataCaptureConfig.GenerateInferenceId = requestDataCaptureConfig_dataCaptureConfig_GenerateInferenceId.Value; requestDataCaptureConfigIsNull = false; } System.String requestDataCaptureConfig_dataCaptureConfig_KmsKeyId = null; if (cmdletContext.DataCaptureConfig_KmsKeyId != null) { requestDataCaptureConfig_dataCaptureConfig_KmsKeyId = cmdletContext.DataCaptureConfig_KmsKeyId; } if (requestDataCaptureConfig_dataCaptureConfig_KmsKeyId != null) { request.DataCaptureConfig.KmsKeyId = requestDataCaptureConfig_dataCaptureConfig_KmsKeyId; requestDataCaptureConfigIsNull = false; } // determine if request.DataCaptureConfig should be set to null if (requestDataCaptureConfigIsNull) { request.DataCaptureConfig = null; } // populate DataProcessing var requestDataProcessingIsNull = true; request.DataProcessing = new Amazon.SageMaker.Model.DataProcessing(); System.String requestDataProcessing_dataProcessing_InputFilter = null; if (cmdletContext.DataProcessing_InputFilter != null) { requestDataProcessing_dataProcessing_InputFilter = cmdletContext.DataProcessing_InputFilter; } if (requestDataProcessing_dataProcessing_InputFilter != null) { request.DataProcessing.InputFilter = requestDataProcessing_dataProcessing_InputFilter; requestDataProcessingIsNull = false; } Amazon.SageMaker.JoinSource requestDataProcessing_dataProcessing_JoinSource = null; if (cmdletContext.DataProcessing_JoinSource != null) { requestDataProcessing_dataProcessing_JoinSource = cmdletContext.DataProcessing_JoinSource; } if (requestDataProcessing_dataProcessing_JoinSource != null) { request.DataProcessing.JoinSource = requestDataProcessing_dataProcessing_JoinSource; requestDataProcessingIsNull = false; } System.String requestDataProcessing_dataProcessing_OutputFilter = null; if (cmdletContext.DataProcessing_OutputFilter != null) { requestDataProcessing_dataProcessing_OutputFilter = cmdletContext.DataProcessing_OutputFilter; } if (requestDataProcessing_dataProcessing_OutputFilter != null) { request.DataProcessing.OutputFilter = requestDataProcessing_dataProcessing_OutputFilter; requestDataProcessingIsNull = false; } // determine if request.DataProcessing should be set to null if (requestDataProcessingIsNull) { request.DataProcessing = null; } if (cmdletContext.Environment != null) { request.Environment = cmdletContext.Environment; } // populate ExperimentConfig var requestExperimentConfigIsNull = true; request.ExperimentConfig = new Amazon.SageMaker.Model.ExperimentConfig(); System.String requestExperimentConfig_experimentConfig_ExperimentName = null; if (cmdletContext.ExperimentConfig_ExperimentName != null) { requestExperimentConfig_experimentConfig_ExperimentName = cmdletContext.ExperimentConfig_ExperimentName; } if (requestExperimentConfig_experimentConfig_ExperimentName != null) { request.ExperimentConfig.ExperimentName = requestExperimentConfig_experimentConfig_ExperimentName; requestExperimentConfigIsNull = false; } System.String requestExperimentConfig_experimentConfig_RunName = null; if (cmdletContext.ExperimentConfig_RunName != null) { requestExperimentConfig_experimentConfig_RunName = cmdletContext.ExperimentConfig_RunName; } if (requestExperimentConfig_experimentConfig_RunName != null) { request.ExperimentConfig.RunName = requestExperimentConfig_experimentConfig_RunName; requestExperimentConfigIsNull = false; } System.String requestExperimentConfig_experimentConfig_TrialComponentDisplayName = null; if (cmdletContext.ExperimentConfig_TrialComponentDisplayName != null) { requestExperimentConfig_experimentConfig_TrialComponentDisplayName = cmdletContext.ExperimentConfig_TrialComponentDisplayName; } if (requestExperimentConfig_experimentConfig_TrialComponentDisplayName != null) { request.ExperimentConfig.TrialComponentDisplayName = requestExperimentConfig_experimentConfig_TrialComponentDisplayName; requestExperimentConfigIsNull = false; } System.String requestExperimentConfig_experimentConfig_TrialName = null; if (cmdletContext.ExperimentConfig_TrialName != null) { requestExperimentConfig_experimentConfig_TrialName = cmdletContext.ExperimentConfig_TrialName; } if (requestExperimentConfig_experimentConfig_TrialName != null) { request.ExperimentConfig.TrialName = requestExperimentConfig_experimentConfig_TrialName; requestExperimentConfigIsNull = false; } // determine if request.ExperimentConfig should be set to null if (requestExperimentConfigIsNull) { request.ExperimentConfig = null; } if (cmdletContext.MaxConcurrentTransform != null) { request.MaxConcurrentTransforms = cmdletContext.MaxConcurrentTransform.Value; } if (cmdletContext.MaxPayloadInMB != null) { request.MaxPayloadInMB = cmdletContext.MaxPayloadInMB.Value; } // populate ModelClientConfig var requestModelClientConfigIsNull = true; request.ModelClientConfig = new Amazon.SageMaker.Model.ModelClientConfig(); System.Int32? requestModelClientConfig_modelClientConfig_InvocationsMaxRetry = null; if (cmdletContext.ModelClientConfig_InvocationsMaxRetry != null) { requestModelClientConfig_modelClientConfig_InvocationsMaxRetry = cmdletContext.ModelClientConfig_InvocationsMaxRetry.Value; } if (requestModelClientConfig_modelClientConfig_InvocationsMaxRetry != null) { request.ModelClientConfig.InvocationsMaxRetries = requestModelClientConfig_modelClientConfig_InvocationsMaxRetry.Value; requestModelClientConfigIsNull = false; } System.Int32? requestModelClientConfig_modelClientConfig_InvocationsTimeoutInSecond = null; if (cmdletContext.ModelClientConfig_InvocationsTimeoutInSecond != null) { requestModelClientConfig_modelClientConfig_InvocationsTimeoutInSecond = cmdletContext.ModelClientConfig_InvocationsTimeoutInSecond.Value; } if (requestModelClientConfig_modelClientConfig_InvocationsTimeoutInSecond != null) { request.ModelClientConfig.InvocationsTimeoutInSeconds = requestModelClientConfig_modelClientConfig_InvocationsTimeoutInSecond.Value; requestModelClientConfigIsNull = false; } // determine if request.ModelClientConfig should be set to null if (requestModelClientConfigIsNull) { request.ModelClientConfig = null; } if (cmdletContext.ModelName != null) { request.ModelName = cmdletContext.ModelName; } if (cmdletContext.Tag != null) { request.Tags = cmdletContext.Tag; } // populate TransformInput var requestTransformInputIsNull = true; request.TransformInput = new Amazon.SageMaker.Model.TransformInput(); Amazon.SageMaker.CompressionType requestTransformInput_transformInput_CompressionType = null; if (cmdletContext.TransformInput_CompressionType != null) { requestTransformInput_transformInput_CompressionType = cmdletContext.TransformInput_CompressionType; } if (requestTransformInput_transformInput_CompressionType != null) { request.TransformInput.CompressionType = requestTransformInput_transformInput_CompressionType; requestTransformInputIsNull = false; } System.String requestTransformInput_transformInput_ContentType = null; if (cmdletContext.TransformInput_ContentType != null) { requestTransformInput_transformInput_ContentType = cmdletContext.TransformInput_ContentType; } if (requestTransformInput_transformInput_ContentType != null) { request.TransformInput.ContentType = requestTransformInput_transformInput_ContentType; requestTransformInputIsNull = false; } Amazon.SageMaker.SplitType requestTransformInput_transformInput_SplitType = null; if (cmdletContext.TransformInput_SplitType != null) { requestTransformInput_transformInput_SplitType = cmdletContext.TransformInput_SplitType; } if (requestTransformInput_transformInput_SplitType != null) { request.TransformInput.SplitType = requestTransformInput_transformInput_SplitType; requestTransformInputIsNull = false; } Amazon.SageMaker.Model.TransformDataSource requestTransformInput_transformInput_DataSource = null; // populate DataSource var requestTransformInput_transformInput_DataSourceIsNull = true; requestTransformInput_transformInput_DataSource = new Amazon.SageMaker.Model.TransformDataSource(); Amazon.SageMaker.Model.TransformS3DataSource requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource = null; // populate S3DataSource var requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSourceIsNull = true; requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource = new Amazon.SageMaker.Model.TransformS3DataSource(); Amazon.SageMaker.S3DataType requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource_s3DataSource_S3DataType = null; if (cmdletContext.S3DataSource_S3DataType != null) { requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource_s3DataSource_S3DataType = cmdletContext.S3DataSource_S3DataType; } if (requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource_s3DataSource_S3DataType != null) { requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource.S3DataType = requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource_s3DataSource_S3DataType; requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSourceIsNull = false; } System.String requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource_s3DataSource_S3Uri = null; if (cmdletContext.S3DataSource_S3Uri != null) { requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource_s3DataSource_S3Uri = cmdletContext.S3DataSource_S3Uri; } if (requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource_s3DataSource_S3Uri != null) { requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource.S3Uri = requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource_s3DataSource_S3Uri; requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSourceIsNull = false; } // determine if requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource should be set to null if (requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSourceIsNull) { requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource = null; } if (requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource != null) { requestTransformInput_transformInput_DataSource.S3DataSource = requestTransformInput_transformInput_DataSource_transformInput_DataSource_S3DataSource; requestTransformInput_transformInput_DataSourceIsNull = false; } // determine if requestTransformInput_transformInput_DataSource should be set to null if (requestTransformInput_transformInput_DataSourceIsNull) { requestTransformInput_transformInput_DataSource = null; } if (requestTransformInput_transformInput_DataSource != null) { request.TransformInput.DataSource = requestTransformInput_transformInput_DataSource; requestTransformInputIsNull = false; } // determine if request.TransformInput should be set to null if (requestTransformInputIsNull) { request.TransformInput = null; } if (cmdletContext.TransformJobName != null) { request.TransformJobName = cmdletContext.TransformJobName; } // populate TransformOutput var requestTransformOutputIsNull = true; request.TransformOutput = new Amazon.SageMaker.Model.TransformOutput(); System.String requestTransformOutput_transformOutput_Accept = null; if (cmdletContext.TransformOutput_Accept != null) { requestTransformOutput_transformOutput_Accept = cmdletContext.TransformOutput_Accept; } if (requestTransformOutput_transformOutput_Accept != null) { request.TransformOutput.Accept = requestTransformOutput_transformOutput_Accept; requestTransformOutputIsNull = false; } Amazon.SageMaker.AssemblyType requestTransformOutput_transformOutput_AssembleWith = null; if (cmdletContext.TransformOutput_AssembleWith != null) { requestTransformOutput_transformOutput_AssembleWith = cmdletContext.TransformOutput_AssembleWith; } if (requestTransformOutput_transformOutput_AssembleWith != null) { request.TransformOutput.AssembleWith = requestTransformOutput_transformOutput_AssembleWith; requestTransformOutputIsNull = false; } System.String requestTransformOutput_transformOutput_KmsKeyId = null; if (cmdletContext.TransformOutput_KmsKeyId != null) { requestTransformOutput_transformOutput_KmsKeyId = cmdletContext.TransformOutput_KmsKeyId; } if (requestTransformOutput_transformOutput_KmsKeyId != null) { request.TransformOutput.KmsKeyId = requestTransformOutput_transformOutput_KmsKeyId; requestTransformOutputIsNull = false; } System.String requestTransformOutput_transformOutput_S3OutputPath = null; if (cmdletContext.TransformOutput_S3OutputPath != null) { requestTransformOutput_transformOutput_S3OutputPath = cmdletContext.TransformOutput_S3OutputPath; } if (requestTransformOutput_transformOutput_S3OutputPath != null) { request.TransformOutput.S3OutputPath = requestTransformOutput_transformOutput_S3OutputPath; requestTransformOutputIsNull = false; } // determine if request.TransformOutput should be set to null if (requestTransformOutputIsNull) { request.TransformOutput = null; } // populate TransformResources var requestTransformResourcesIsNull = true; request.TransformResources = new Amazon.SageMaker.Model.TransformResources(); System.Int32? requestTransformResources_transformResources_InstanceCount = null; if (cmdletContext.TransformResources_InstanceCount != null) { requestTransformResources_transformResources_InstanceCount = cmdletContext.TransformResources_InstanceCount.Value; } if (requestTransformResources_transformResources_InstanceCount != null) { request.TransformResources.InstanceCount = requestTransformResources_transformResources_InstanceCount.Value; requestTransformResourcesIsNull = false; } Amazon.SageMaker.TransformInstanceType requestTransformResources_transformResources_InstanceType = null; if (cmdletContext.TransformResources_InstanceType != null) { requestTransformResources_transformResources_InstanceType = cmdletContext.TransformResources_InstanceType; } if (requestTransformResources_transformResources_InstanceType != null) { request.TransformResources.InstanceType = requestTransformResources_transformResources_InstanceType; requestTransformResourcesIsNull = false; } System.String requestTransformResources_transformResources_VolumeKmsKeyId = null; if (cmdletContext.TransformResources_VolumeKmsKeyId != null) { requestTransformResources_transformResources_VolumeKmsKeyId = cmdletContext.TransformResources_VolumeKmsKeyId; } if (requestTransformResources_transformResources_VolumeKmsKeyId != null) { request.TransformResources.VolumeKmsKeyId = requestTransformResources_transformResources_VolumeKmsKeyId; requestTransformResourcesIsNull = false; } // determine if request.TransformResources should be set to null if (requestTransformResourcesIsNull) { request.TransformResources = null; } CmdletOutput output; // issue call var client = Client ?? CreateClient(_CurrentCredentials, _RegionEndpoint); try { var response = CallAWSServiceOperation(client, request); object pipelineOutput = null; pipelineOutput = cmdletContext.Select(response, this); output = new CmdletOutput { PipelineOutput = pipelineOutput, ServiceResponse = response }; } catch (Exception e) { output = new CmdletOutput { ErrorResponse = e }; } return output; } public ExecutorContext CreateContext() { return new CmdletContext(); } #endregion #region AWS Service Operation Call private Amazon.SageMaker.Model.CreateTransformJobResponse CallAWSServiceOperation(IAmazonSageMaker client, Amazon.SageMaker.Model.CreateTransformJobRequest request) { Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon SageMaker Service", "CreateTransformJob"); try { #if DESKTOP return client.CreateTransformJob(request); #elif CORECLR return client.CreateTransformJobAsync(request).GetAwaiter().GetResult(); #else #error "Unknown build edition" #endif } catch (AmazonServiceException exc) { var webException = exc.InnerException as System.Net.WebException; if (webException != null) { throw new Exception(Utils.Common.FormatNameResolutionFailureMessage(client.Config, webException.Message), webException); } throw; } } #endregion internal partial class CmdletContext : ExecutorContext { public Amazon.SageMaker.BatchStrategy BatchStrategy { get; set; } public System.String DataCaptureConfig_DestinationS3Uri { get; set; } public System.Boolean? DataCaptureConfig_GenerateInferenceId { get; set; } public System.String DataCaptureConfig_KmsKeyId { get; set; } public System.String DataProcessing_InputFilter { get; set; } public Amazon.SageMaker.JoinSource DataProcessing_JoinSource { get; set; } public System.String DataProcessing_OutputFilter { get; set; } public Dictionary Environment { get; set; } public System.String ExperimentConfig_ExperimentName { get; set; } public System.String ExperimentConfig_RunName { get; set; } public System.String ExperimentConfig_TrialComponentDisplayName { get; set; } public System.String ExperimentConfig_TrialName { get; set; } public System.Int32? MaxConcurrentTransform { get; set; } public System.Int32? MaxPayloadInMB { get; set; } public System.Int32? ModelClientConfig_InvocationsMaxRetry { get; set; } public System.Int32? ModelClientConfig_InvocationsTimeoutInSecond { get; set; } public System.String ModelName { get; set; } public List Tag { get; set; } public Amazon.SageMaker.CompressionType TransformInput_CompressionType { get; set; } public System.String TransformInput_ContentType { get; set; } public Amazon.SageMaker.S3DataType S3DataSource_S3DataType { get; set; } public System.String S3DataSource_S3Uri { get; set; } public Amazon.SageMaker.SplitType TransformInput_SplitType { get; set; } public System.String TransformJobName { get; set; } public System.String TransformOutput_Accept { get; set; } public Amazon.SageMaker.AssemblyType TransformOutput_AssembleWith { get; set; } public System.String TransformOutput_KmsKeyId { get; set; } public System.String TransformOutput_S3OutputPath { get; set; } public System.Int32? TransformResources_InstanceCount { get; set; } public Amazon.SageMaker.TransformInstanceType TransformResources_InstanceType { get; set; } public System.String TransformResources_VolumeKmsKeyId { get; set; } public System.Func Select { get; set; } = (response, cmdlet) => response.TransformJobArn; } } }