/******************************************************************************* * 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 { /// <summary> /// Starts a recommendation job. You can create either an instance recommendation or load /// test job. /// </summary> [Cmdlet("New", "SMInferenceRecommendationsJob", SupportsShouldProcess = true, ConfirmImpact = ConfirmImpact.Medium)] [OutputType("System.String")] [AWSCmdlet("Calls the Amazon SageMaker Service CreateInferenceRecommendationsJob API operation.", Operation = new[] {"CreateInferenceRecommendationsJob"}, SelectReturnType = typeof(Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse))] [AWSCmdletOutput("System.String or Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse", "This cmdlet returns a System.String object.", "The service call response (type Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack." )] public partial class NewSMInferenceRecommendationsJobCmdlet : AmazonSageMakerClientCmdlet, IExecutor { #region Parameter ContainerConfig_DataInputConfig /// <summary> /// <para> /// <para>Specifies the name and shape of the expected data inputs for your trained model with /// a JSON dictionary form. This field is used for optimizing your model using SageMaker /// Neo. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InputConfig.html#sagemaker-Type-InputConfig-DataInputConfig">DataInputConfig</a>.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ContainerConfig_DataInputConfig")] public System.String ContainerConfig_DataInputConfig { get; set; } #endregion #region Parameter ContainerConfig_Domain /// <summary> /// <para> /// <para>The machine learning domain of the model and its components.</para><para>Valid Values: <code>COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING</code></para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ContainerConfig_Domain")] public System.String ContainerConfig_Domain { get; set; } #endregion #region Parameter InputConfig_EndpointConfiguration /// <summary> /// <para> /// <para>Specifies the endpoint configuration to use for a job.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_EndpointConfigurations")] public Amazon.SageMaker.Model.EndpointInputConfiguration[] InputConfig_EndpointConfiguration { get; set; } #endregion #region Parameter InputConfig_Endpoint /// <summary> /// <para> /// <para>Existing customer endpoints on which to run an Inference Recommender job.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_Endpoints")] public Amazon.SageMaker.Model.EndpointInfo[] InputConfig_Endpoint { get; set; } #endregion #region Parameter ContainerConfig_Framework /// <summary> /// <para> /// <para>The machine learning framework of the container image.</para><para>Valid Values: <code>TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN</code></para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ContainerConfig_Framework")] public System.String ContainerConfig_Framework { get; set; } #endregion #region Parameter ContainerConfig_FrameworkVersion /// <summary> /// <para> /// <para>The framework version of the container image.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ContainerConfig_FrameworkVersion")] public System.String ContainerConfig_FrameworkVersion { get; set; } #endregion #region Parameter JobDescription /// <summary> /// <para> /// <para>Description of the recommendation job.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String JobDescription { get; set; } #endregion #region Parameter InputConfig_JobDurationInSecond /// <summary> /// <para> /// <para>Specifies the maximum duration of the job, in seconds.></para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_JobDurationInSeconds")] public System.Int32? InputConfig_JobDurationInSecond { get; set; } #endregion #region Parameter JobName /// <summary> /// <para> /// <para>A name for the recommendation job. The name must be unique within the Amazon Web Services /// Region and within your Amazon Web Services account. The job name is passed down to /// the resources created by the recommendation job. The names of resources (such as the /// model, endpoint configuration, endpoint, and compilation) that are prefixed with the /// job name are truncated at 40 characters.</para> /// </para> /// </summary> #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 JobName { get; set; } #endregion #region Parameter JobType /// <summary> /// <para> /// <para>Defines the type of recommendation job. Specify <code>Default</code> to initiate an /// instance recommendation and <code>Advanced</code> to initiate a load test. If left /// unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation /// (<code>DEFAULT</code>) job.</para> /// </para> /// </summary> #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.RecommendationJobType")] public Amazon.SageMaker.RecommendationJobType JobType { get; set; } #endregion #region Parameter OutputConfig_KmsKeyId /// <summary> /// <para> /// <para>The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon /// Web Services KMS) key that Amazon SageMaker uses to encrypt your output artifacts /// with Amazon S3 server-side encryption. The SageMaker execution role must have <code>kms:GenerateDataKey</code> /// permission.</para><para>The <code>KmsKeyId</code> can be any of the following formats:</para><ul><li><para>// KMS Key ID</para><para><code>"1234abcd-12ab-34cd-56ef-1234567890ab"</code></para></li><li><para>// Amazon Resource Name (ARN) of a KMS Key</para><para><code>"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"</code></para></li><li><para>// KMS Key Alias</para><para><code>"alias/ExampleAlias"</code></para></li><li><para>// Amazon Resource Name (ARN) of a KMS Key Alias</para><para><code>"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"</code></para></li></ul><para>For more information about key identifiers, see <a href="https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#key-id-key-id">Key /// identifiers (KeyID)</a> in the Amazon Web Services Key Management Service (Amazon /// Web Services KMS) documentation.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String OutputConfig_KmsKeyId { get; set; } #endregion #region Parameter StoppingConditions_MaxInvocation /// <summary> /// <para> /// <para>The maximum number of requests per minute expected for the endpoint.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("StoppingConditions_MaxInvocations")] public System.Int32? StoppingConditions_MaxInvocation { get; set; } #endregion #region Parameter ResourceLimit_MaxNumberOfTest /// <summary> /// <para> /// <para>Defines the maximum number of load tests.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ResourceLimit_MaxNumberOfTests")] public System.Int32? ResourceLimit_MaxNumberOfTest { get; set; } #endregion #region Parameter ResourceLimit_MaxParallelOfTest /// <summary> /// <para> /// <para>Defines the maximum number of parallel load tests.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ResourceLimit_MaxParallelOfTests")] public System.Int32? ResourceLimit_MaxParallelOfTest { get; set; } #endregion #region Parameter StoppingConditions_ModelLatencyThreshold /// <summary> /// <para> /// <para>The interval of time taken by a model to respond as viewed from SageMaker. The interval /// includes the local communication time taken to send the request and to fetch the response /// from the container of a model and the time taken to complete the inference in the /// container.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("StoppingConditions_ModelLatencyThresholds")] public Amazon.SageMaker.Model.ModelLatencyThreshold[] StoppingConditions_ModelLatencyThreshold { get; set; } #endregion #region Parameter InputConfig_ModelName /// <summary> /// <para> /// <para>The name of the created model.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String InputConfig_ModelName { get; set; } #endregion #region Parameter InputConfig_ModelPackageVersionArn /// <summary> /// <para> /// <para>The Amazon Resource Name (ARN) of a versioned model package.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String InputConfig_ModelPackageVersionArn { get; set; } #endregion #region Parameter ContainerConfig_NearestModelName /// <summary> /// <para> /// <para>The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference /// Recommender that matches your model.</para><para>Valid Values: <code>efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge /// | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | /// resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | /// xceptionV1-keras | resnet50 | retinanet</code></para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ContainerConfig_NearestModelName")] public System.String ContainerConfig_NearestModelName { get; set; } #endregion #region Parameter TrafficPattern_Phase /// <summary> /// <para> /// <para>Defines the phases traffic specification.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_TrafficPattern_Phases")] public Amazon.SageMaker.Model.Phase[] TrafficPattern_Phase { get; set; } #endregion #region Parameter RoleArn /// <summary> /// <para> /// <para>The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform /// tasks on your behalf.</para> /// </para> /// </summary> #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 RoleArn { get; set; } #endregion #region Parameter CompiledOutputConfig_S3OutputUri /// <summary> /// <para> /// <para>Identifies the Amazon S3 bucket where you want SageMaker to store the compiled model /// artifacts.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("OutputConfig_CompiledOutputConfig_S3OutputUri")] public System.String CompiledOutputConfig_S3OutputUri { get; set; } #endregion #region Parameter PayloadConfig_SamplePayloadUrl /// <summary> /// <para> /// <para>The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored. /// This path must point to a single gzip compressed tar archive (.tar.gz suffix).</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ContainerConfig_PayloadConfig_SamplePayloadUrl")] public System.String PayloadConfig_SamplePayloadUrl { get; set; } #endregion #region Parameter VpcConfig_SecurityGroupId /// <summary> /// <para> /// <para>The VPC security group IDs. IDs have the form of <code>sg-xxxxxxxx</code>. Specify /// the security groups for the VPC that is specified in the <code>Subnets</code> field.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_VpcConfig_SecurityGroupIds")] public System.String[] VpcConfig_SecurityGroupId { get; set; } #endregion #region Parameter VpcConfig_Subnet /// <summary> /// <para> /// <para>The ID of the subnets in the VPC to which you want to connect your model.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_VpcConfig_Subnets")] public System.String[] VpcConfig_Subnet { get; set; } #endregion #region Parameter PayloadConfig_SupportedContentType /// <summary> /// <para> /// <para>The supported MIME types for the input data.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ContainerConfig_PayloadConfig_SupportedContentTypes")] public System.String[] PayloadConfig_SupportedContentType { get; set; } #endregion #region Parameter ContainerConfig_SupportedEndpointType /// <summary> /// <para> /// <para>The endpoint type to receive recommendations for. By default this is null, and the /// results of the inference recommendation job return a combined list of both real-time /// and serverless benchmarks. By specifying a value for this field, you can receive a /// longer list of benchmarks for the desired endpoint type.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ContainerConfig_SupportedEndpointType")] [AWSConstantClassSource("Amazon.SageMaker.RecommendationJobSupportedEndpointType")] public Amazon.SageMaker.RecommendationJobSupportedEndpointType ContainerConfig_SupportedEndpointType { get; set; } #endregion #region Parameter ContainerConfig_SupportedInstanceType /// <summary> /// <para> /// <para>A list of the instance types that are used to generate inferences in real-time.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ContainerConfig_SupportedInstanceTypes")] public System.String[] ContainerConfig_SupportedInstanceType { get; set; } #endregion #region Parameter Tag /// <summary> /// <para> /// <para>The metadata that you apply to Amazon Web Services resources to help you categorize /// and organize them. Each tag consists of a key and a value, both of which you define. /// For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging /// Amazon Web Services Resources</a> in the Amazon Web Services General Reference.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("Tags")] public Amazon.SageMaker.Model.Tag[] Tag { get; set; } #endregion #region Parameter ContainerConfig_Task /// <summary> /// <para> /// <para>The machine learning task that the model accomplishes.</para><para>Valid Values: <code>IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION /// | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER</code></para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_ContainerConfig_Task")] public System.String ContainerConfig_Task { get; set; } #endregion #region Parameter TrafficPattern_TrafficType /// <summary> /// <para> /// <para>Defines the traffic patterns.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] [Alias("InputConfig_TrafficPattern_TrafficType")] [AWSConstantClassSource("Amazon.SageMaker.TrafficType")] public Amazon.SageMaker.TrafficType TrafficPattern_TrafficType { get; set; } #endregion #region Parameter InputConfig_VolumeKmsKeyId /// <summary> /// <para> /// <para>The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon /// Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume /// attached to the ML compute instance that hosts the endpoint. This key will be passed /// to SageMaker Hosting for endpoint creation. </para><para>The SageMaker execution role must have <code>kms:CreateGrant</code> permission in /// order to encrypt data on the storage volume of the endpoints created for inference /// recommendation. The inference recommendation job will fail asynchronously during endpoint /// configuration creation if the role passed does not have <code>kms:CreateGrant</code> /// permission.</para><para>The <code>KmsKeyId</code> can be any of the following formats:</para><ul><li><para>// KMS Key ID</para><para><code>"1234abcd-12ab-34cd-56ef-1234567890ab"</code></para></li><li><para>// Amazon Resource Name (ARN) of a KMS Key</para><para><code>"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"</code></para></li><li><para>// KMS Key Alias</para><para><code>"alias/ExampleAlias"</code></para></li><li><para>// Amazon Resource Name (ARN) of a KMS Key Alias</para><para><code>"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"</code></para></li></ul><para>For more information about key identifiers, see <a href="https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#key-id-key-id">Key /// identifiers (KeyID)</a> in the Amazon Web Services Key Management Service (Amazon /// Web Services KMS) documentation.</para> /// </para> /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public System.String InputConfig_VolumeKmsKeyId { get; set; } #endregion #region Parameter Select /// <summary> /// Use the -Select parameter to control the cmdlet output. The default value is 'JobArn'. /// Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse). /// Specifying the name of a property of type Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse will result in that property being returned. /// Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public string Select { get; set; } = "JobArn"; #endregion #region Parameter PassThru /// <summary> /// Changes the cmdlet behavior to return the value passed to the JobName parameter. /// The -PassThru parameter is deprecated, use -Select '^JobName' instead. This parameter will be removed in a future version. /// </summary> [System.Obsolete("The -PassThru parameter is deprecated, use -Select '^JobName' 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 /// <summary> /// This parameter overrides confirmation prompts to force /// the cmdlet to continue its operation. This parameter should always /// be used with caution. /// </summary> [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public SwitchParameter Force { get; set; } #endregion protected override void ProcessRecord() { this._AWSSignerType = "v4"; base.ProcessRecord(); var resourceIdentifiersText = string.Empty; if (!ConfirmShouldProceed(this.Force.IsPresent, resourceIdentifiersText, "New-SMInferenceRecommendationsJob (CreateInferenceRecommendationsJob)")) { 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<Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse, NewSMInferenceRecommendationsJobCmdlet>(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.JobName; } #pragma warning restore CS0618, CS0612 //A class member was marked with the Obsolete attribute context.ContainerConfig_DataInputConfig = this.ContainerConfig_DataInputConfig; context.ContainerConfig_Domain = this.ContainerConfig_Domain; context.ContainerConfig_Framework = this.ContainerConfig_Framework; context.ContainerConfig_FrameworkVersion = this.ContainerConfig_FrameworkVersion; context.ContainerConfig_NearestModelName = this.ContainerConfig_NearestModelName; context.PayloadConfig_SamplePayloadUrl = this.PayloadConfig_SamplePayloadUrl; if (this.PayloadConfig_SupportedContentType != null) { context.PayloadConfig_SupportedContentType = new List<System.String>(this.PayloadConfig_SupportedContentType); } context.ContainerConfig_SupportedEndpointType = this.ContainerConfig_SupportedEndpointType; if (this.ContainerConfig_SupportedInstanceType != null) { context.ContainerConfig_SupportedInstanceType = new List<System.String>(this.ContainerConfig_SupportedInstanceType); } context.ContainerConfig_Task = this.ContainerConfig_Task; if (this.InputConfig_EndpointConfiguration != null) { context.InputConfig_EndpointConfiguration = new List<Amazon.SageMaker.Model.EndpointInputConfiguration>(this.InputConfig_EndpointConfiguration); } if (this.InputConfig_Endpoint != null) { context.InputConfig_Endpoint = new List<Amazon.SageMaker.Model.EndpointInfo>(this.InputConfig_Endpoint); } context.InputConfig_JobDurationInSecond = this.InputConfig_JobDurationInSecond; context.InputConfig_ModelName = this.InputConfig_ModelName; context.InputConfig_ModelPackageVersionArn = this.InputConfig_ModelPackageVersionArn; context.ResourceLimit_MaxNumberOfTest = this.ResourceLimit_MaxNumberOfTest; context.ResourceLimit_MaxParallelOfTest = this.ResourceLimit_MaxParallelOfTest; if (this.TrafficPattern_Phase != null) { context.TrafficPattern_Phase = new List<Amazon.SageMaker.Model.Phase>(this.TrafficPattern_Phase); } context.TrafficPattern_TrafficType = this.TrafficPattern_TrafficType; context.InputConfig_VolumeKmsKeyId = this.InputConfig_VolumeKmsKeyId; if (this.VpcConfig_SecurityGroupId != null) { context.VpcConfig_SecurityGroupId = new List<System.String>(this.VpcConfig_SecurityGroupId); } if (this.VpcConfig_Subnet != null) { context.VpcConfig_Subnet = new List<System.String>(this.VpcConfig_Subnet); } context.JobDescription = this.JobDescription; context.JobName = this.JobName; #if MODULAR if (this.JobName == null && ParameterWasBound(nameof(this.JobName))) { WriteWarning("You are passing $null as a value for parameter JobName 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.JobType = this.JobType; #if MODULAR if (this.JobType == null && ParameterWasBound(nameof(this.JobType))) { WriteWarning("You are passing $null as a value for parameter JobType 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.CompiledOutputConfig_S3OutputUri = this.CompiledOutputConfig_S3OutputUri; context.OutputConfig_KmsKeyId = this.OutputConfig_KmsKeyId; context.RoleArn = this.RoleArn; #if MODULAR if (this.RoleArn == null && ParameterWasBound(nameof(this.RoleArn))) { WriteWarning("You are passing $null as a value for parameter RoleArn 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.StoppingConditions_MaxInvocation = this.StoppingConditions_MaxInvocation; if (this.StoppingConditions_ModelLatencyThreshold != null) { context.StoppingConditions_ModelLatencyThreshold = new List<Amazon.SageMaker.Model.ModelLatencyThreshold>(this.StoppingConditions_ModelLatencyThreshold); } if (this.Tag != null) { context.Tag = new List<Amazon.SageMaker.Model.Tag>(this.Tag); } // 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.CreateInferenceRecommendationsJobRequest(); // populate InputConfig var requestInputConfigIsNull = true; request.InputConfig = new Amazon.SageMaker.Model.RecommendationJobInputConfig(); List<Amazon.SageMaker.Model.EndpointInputConfiguration> requestInputConfig_inputConfig_EndpointConfiguration = null; if (cmdletContext.InputConfig_EndpointConfiguration != null) { requestInputConfig_inputConfig_EndpointConfiguration = cmdletContext.InputConfig_EndpointConfiguration; } if (requestInputConfig_inputConfig_EndpointConfiguration != null) { request.InputConfig.EndpointConfigurations = requestInputConfig_inputConfig_EndpointConfiguration; requestInputConfigIsNull = false; } List<Amazon.SageMaker.Model.EndpointInfo> requestInputConfig_inputConfig_Endpoint = null; if (cmdletContext.InputConfig_Endpoint != null) { requestInputConfig_inputConfig_Endpoint = cmdletContext.InputConfig_Endpoint; } if (requestInputConfig_inputConfig_Endpoint != null) { request.InputConfig.Endpoints = requestInputConfig_inputConfig_Endpoint; requestInputConfigIsNull = false; } System.Int32? requestInputConfig_inputConfig_JobDurationInSecond = null; if (cmdletContext.InputConfig_JobDurationInSecond != null) { requestInputConfig_inputConfig_JobDurationInSecond = cmdletContext.InputConfig_JobDurationInSecond.Value; } if (requestInputConfig_inputConfig_JobDurationInSecond != null) { request.InputConfig.JobDurationInSeconds = requestInputConfig_inputConfig_JobDurationInSecond.Value; requestInputConfigIsNull = false; } System.String requestInputConfig_inputConfig_ModelName = null; if (cmdletContext.InputConfig_ModelName != null) { requestInputConfig_inputConfig_ModelName = cmdletContext.InputConfig_ModelName; } if (requestInputConfig_inputConfig_ModelName != null) { request.InputConfig.ModelName = requestInputConfig_inputConfig_ModelName; requestInputConfigIsNull = false; } System.String requestInputConfig_inputConfig_ModelPackageVersionArn = null; if (cmdletContext.InputConfig_ModelPackageVersionArn != null) { requestInputConfig_inputConfig_ModelPackageVersionArn = cmdletContext.InputConfig_ModelPackageVersionArn; } if (requestInputConfig_inputConfig_ModelPackageVersionArn != null) { request.InputConfig.ModelPackageVersionArn = requestInputConfig_inputConfig_ModelPackageVersionArn; requestInputConfigIsNull = false; } System.String requestInputConfig_inputConfig_VolumeKmsKeyId = null; if (cmdletContext.InputConfig_VolumeKmsKeyId != null) { requestInputConfig_inputConfig_VolumeKmsKeyId = cmdletContext.InputConfig_VolumeKmsKeyId; } if (requestInputConfig_inputConfig_VolumeKmsKeyId != null) { request.InputConfig.VolumeKmsKeyId = requestInputConfig_inputConfig_VolumeKmsKeyId; requestInputConfigIsNull = false; } Amazon.SageMaker.Model.RecommendationJobResourceLimit requestInputConfig_inputConfig_ResourceLimit = null; // populate ResourceLimit var requestInputConfig_inputConfig_ResourceLimitIsNull = true; requestInputConfig_inputConfig_ResourceLimit = new Amazon.SageMaker.Model.RecommendationJobResourceLimit(); System.Int32? requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxNumberOfTest = null; if (cmdletContext.ResourceLimit_MaxNumberOfTest != null) { requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxNumberOfTest = cmdletContext.ResourceLimit_MaxNumberOfTest.Value; } if (requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxNumberOfTest != null) { requestInputConfig_inputConfig_ResourceLimit.MaxNumberOfTests = requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxNumberOfTest.Value; requestInputConfig_inputConfig_ResourceLimitIsNull = false; } System.Int32? requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxParallelOfTest = null; if (cmdletContext.ResourceLimit_MaxParallelOfTest != null) { requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxParallelOfTest = cmdletContext.ResourceLimit_MaxParallelOfTest.Value; } if (requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxParallelOfTest != null) { requestInputConfig_inputConfig_ResourceLimit.MaxParallelOfTests = requestInputConfig_inputConfig_ResourceLimit_resourceLimit_MaxParallelOfTest.Value; requestInputConfig_inputConfig_ResourceLimitIsNull = false; } // determine if requestInputConfig_inputConfig_ResourceLimit should be set to null if (requestInputConfig_inputConfig_ResourceLimitIsNull) { requestInputConfig_inputConfig_ResourceLimit = null; } if (requestInputConfig_inputConfig_ResourceLimit != null) { request.InputConfig.ResourceLimit = requestInputConfig_inputConfig_ResourceLimit; requestInputConfigIsNull = false; } Amazon.SageMaker.Model.TrafficPattern requestInputConfig_inputConfig_TrafficPattern = null; // populate TrafficPattern var requestInputConfig_inputConfig_TrafficPatternIsNull = true; requestInputConfig_inputConfig_TrafficPattern = new Amazon.SageMaker.Model.TrafficPattern(); List<Amazon.SageMaker.Model.Phase> requestInputConfig_inputConfig_TrafficPattern_trafficPattern_Phase = null; if (cmdletContext.TrafficPattern_Phase != null) { requestInputConfig_inputConfig_TrafficPattern_trafficPattern_Phase = cmdletContext.TrafficPattern_Phase; } if (requestInputConfig_inputConfig_TrafficPattern_trafficPattern_Phase != null) { requestInputConfig_inputConfig_TrafficPattern.Phases = requestInputConfig_inputConfig_TrafficPattern_trafficPattern_Phase; requestInputConfig_inputConfig_TrafficPatternIsNull = false; } Amazon.SageMaker.TrafficType requestInputConfig_inputConfig_TrafficPattern_trafficPattern_TrafficType = null; if (cmdletContext.TrafficPattern_TrafficType != null) { requestInputConfig_inputConfig_TrafficPattern_trafficPattern_TrafficType = cmdletContext.TrafficPattern_TrafficType; } if (requestInputConfig_inputConfig_TrafficPattern_trafficPattern_TrafficType != null) { requestInputConfig_inputConfig_TrafficPattern.TrafficType = requestInputConfig_inputConfig_TrafficPattern_trafficPattern_TrafficType; requestInputConfig_inputConfig_TrafficPatternIsNull = false; } // determine if requestInputConfig_inputConfig_TrafficPattern should be set to null if (requestInputConfig_inputConfig_TrafficPatternIsNull) { requestInputConfig_inputConfig_TrafficPattern = null; } if (requestInputConfig_inputConfig_TrafficPattern != null) { request.InputConfig.TrafficPattern = requestInputConfig_inputConfig_TrafficPattern; requestInputConfigIsNull = false; } Amazon.SageMaker.Model.RecommendationJobVpcConfig requestInputConfig_inputConfig_VpcConfig = null; // populate VpcConfig var requestInputConfig_inputConfig_VpcConfigIsNull = true; requestInputConfig_inputConfig_VpcConfig = new Amazon.SageMaker.Model.RecommendationJobVpcConfig(); List<System.String> requestInputConfig_inputConfig_VpcConfig_vpcConfig_SecurityGroupId = null; if (cmdletContext.VpcConfig_SecurityGroupId != null) { requestInputConfig_inputConfig_VpcConfig_vpcConfig_SecurityGroupId = cmdletContext.VpcConfig_SecurityGroupId; } if (requestInputConfig_inputConfig_VpcConfig_vpcConfig_SecurityGroupId != null) { requestInputConfig_inputConfig_VpcConfig.SecurityGroupIds = requestInputConfig_inputConfig_VpcConfig_vpcConfig_SecurityGroupId; requestInputConfig_inputConfig_VpcConfigIsNull = false; } List<System.String> requestInputConfig_inputConfig_VpcConfig_vpcConfig_Subnet = null; if (cmdletContext.VpcConfig_Subnet != null) { requestInputConfig_inputConfig_VpcConfig_vpcConfig_Subnet = cmdletContext.VpcConfig_Subnet; } if (requestInputConfig_inputConfig_VpcConfig_vpcConfig_Subnet != null) { requestInputConfig_inputConfig_VpcConfig.Subnets = requestInputConfig_inputConfig_VpcConfig_vpcConfig_Subnet; requestInputConfig_inputConfig_VpcConfigIsNull = false; } // determine if requestInputConfig_inputConfig_VpcConfig should be set to null if (requestInputConfig_inputConfig_VpcConfigIsNull) { requestInputConfig_inputConfig_VpcConfig = null; } if (requestInputConfig_inputConfig_VpcConfig != null) { request.InputConfig.VpcConfig = requestInputConfig_inputConfig_VpcConfig; requestInputConfigIsNull = false; } Amazon.SageMaker.Model.RecommendationJobContainerConfig requestInputConfig_inputConfig_ContainerConfig = null; // populate ContainerConfig var requestInputConfig_inputConfig_ContainerConfigIsNull = true; requestInputConfig_inputConfig_ContainerConfig = new Amazon.SageMaker.Model.RecommendationJobContainerConfig(); System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_DataInputConfig = null; if (cmdletContext.ContainerConfig_DataInputConfig != null) { requestInputConfig_inputConfig_ContainerConfig_containerConfig_DataInputConfig = cmdletContext.ContainerConfig_DataInputConfig; } if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_DataInputConfig != null) { requestInputConfig_inputConfig_ContainerConfig.DataInputConfig = requestInputConfig_inputConfig_ContainerConfig_containerConfig_DataInputConfig; requestInputConfig_inputConfig_ContainerConfigIsNull = false; } System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_Domain = null; if (cmdletContext.ContainerConfig_Domain != null) { requestInputConfig_inputConfig_ContainerConfig_containerConfig_Domain = cmdletContext.ContainerConfig_Domain; } if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_Domain != null) { requestInputConfig_inputConfig_ContainerConfig.Domain = requestInputConfig_inputConfig_ContainerConfig_containerConfig_Domain; requestInputConfig_inputConfig_ContainerConfigIsNull = false; } System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_Framework = null; if (cmdletContext.ContainerConfig_Framework != null) { requestInputConfig_inputConfig_ContainerConfig_containerConfig_Framework = cmdletContext.ContainerConfig_Framework; } if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_Framework != null) { requestInputConfig_inputConfig_ContainerConfig.Framework = requestInputConfig_inputConfig_ContainerConfig_containerConfig_Framework; requestInputConfig_inputConfig_ContainerConfigIsNull = false; } System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_FrameworkVersion = null; if (cmdletContext.ContainerConfig_FrameworkVersion != null) { requestInputConfig_inputConfig_ContainerConfig_containerConfig_FrameworkVersion = cmdletContext.ContainerConfig_FrameworkVersion; } if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_FrameworkVersion != null) { requestInputConfig_inputConfig_ContainerConfig.FrameworkVersion = requestInputConfig_inputConfig_ContainerConfig_containerConfig_FrameworkVersion; requestInputConfig_inputConfig_ContainerConfigIsNull = false; } System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_NearestModelName = null; if (cmdletContext.ContainerConfig_NearestModelName != null) { requestInputConfig_inputConfig_ContainerConfig_containerConfig_NearestModelName = cmdletContext.ContainerConfig_NearestModelName; } if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_NearestModelName != null) { requestInputConfig_inputConfig_ContainerConfig.NearestModelName = requestInputConfig_inputConfig_ContainerConfig_containerConfig_NearestModelName; requestInputConfig_inputConfig_ContainerConfigIsNull = false; } Amazon.SageMaker.RecommendationJobSupportedEndpointType requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedEndpointType = null; if (cmdletContext.ContainerConfig_SupportedEndpointType != null) { requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedEndpointType = cmdletContext.ContainerConfig_SupportedEndpointType; } if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedEndpointType != null) { requestInputConfig_inputConfig_ContainerConfig.SupportedEndpointType = requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedEndpointType; requestInputConfig_inputConfig_ContainerConfigIsNull = false; } List<System.String> requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedInstanceType = null; if (cmdletContext.ContainerConfig_SupportedInstanceType != null) { requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedInstanceType = cmdletContext.ContainerConfig_SupportedInstanceType; } if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedInstanceType != null) { requestInputConfig_inputConfig_ContainerConfig.SupportedInstanceTypes = requestInputConfig_inputConfig_ContainerConfig_containerConfig_SupportedInstanceType; requestInputConfig_inputConfig_ContainerConfigIsNull = false; } System.String requestInputConfig_inputConfig_ContainerConfig_containerConfig_Task = null; if (cmdletContext.ContainerConfig_Task != null) { requestInputConfig_inputConfig_ContainerConfig_containerConfig_Task = cmdletContext.ContainerConfig_Task; } if (requestInputConfig_inputConfig_ContainerConfig_containerConfig_Task != null) { requestInputConfig_inputConfig_ContainerConfig.Task = requestInputConfig_inputConfig_ContainerConfig_containerConfig_Task; requestInputConfig_inputConfig_ContainerConfigIsNull = false; } Amazon.SageMaker.Model.RecommendationJobPayloadConfig requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig = null; // populate PayloadConfig var requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfigIsNull = true; requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig = new Amazon.SageMaker.Model.RecommendationJobPayloadConfig(); System.String requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SamplePayloadUrl = null; if (cmdletContext.PayloadConfig_SamplePayloadUrl != null) { requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SamplePayloadUrl = cmdletContext.PayloadConfig_SamplePayloadUrl; } if (requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SamplePayloadUrl != null) { requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig.SamplePayloadUrl = requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SamplePayloadUrl; requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfigIsNull = false; } List<System.String> requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SupportedContentType = null; if (cmdletContext.PayloadConfig_SupportedContentType != null) { requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SupportedContentType = cmdletContext.PayloadConfig_SupportedContentType; } if (requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SupportedContentType != null) { requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig.SupportedContentTypes = requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig_payloadConfig_SupportedContentType; requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfigIsNull = false; } // determine if requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig should be set to null if (requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfigIsNull) { requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig = null; } if (requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig != null) { requestInputConfig_inputConfig_ContainerConfig.PayloadConfig = requestInputConfig_inputConfig_ContainerConfig_inputConfig_ContainerConfig_PayloadConfig; requestInputConfig_inputConfig_ContainerConfigIsNull = false; } // determine if requestInputConfig_inputConfig_ContainerConfig should be set to null if (requestInputConfig_inputConfig_ContainerConfigIsNull) { requestInputConfig_inputConfig_ContainerConfig = null; } if (requestInputConfig_inputConfig_ContainerConfig != null) { request.InputConfig.ContainerConfig = requestInputConfig_inputConfig_ContainerConfig; requestInputConfigIsNull = false; } // determine if request.InputConfig should be set to null if (requestInputConfigIsNull) { request.InputConfig = null; } if (cmdletContext.JobDescription != null) { request.JobDescription = cmdletContext.JobDescription; } if (cmdletContext.JobName != null) { request.JobName = cmdletContext.JobName; } if (cmdletContext.JobType != null) { request.JobType = cmdletContext.JobType; } // populate OutputConfig var requestOutputConfigIsNull = true; request.OutputConfig = new Amazon.SageMaker.Model.RecommendationJobOutputConfig(); System.String requestOutputConfig_outputConfig_KmsKeyId = null; if (cmdletContext.OutputConfig_KmsKeyId != null) { requestOutputConfig_outputConfig_KmsKeyId = cmdletContext.OutputConfig_KmsKeyId; } if (requestOutputConfig_outputConfig_KmsKeyId != null) { request.OutputConfig.KmsKeyId = requestOutputConfig_outputConfig_KmsKeyId; requestOutputConfigIsNull = false; } Amazon.SageMaker.Model.RecommendationJobCompiledOutputConfig requestOutputConfig_outputConfig_CompiledOutputConfig = null; // populate CompiledOutputConfig var requestOutputConfig_outputConfig_CompiledOutputConfigIsNull = true; requestOutputConfig_outputConfig_CompiledOutputConfig = new Amazon.SageMaker.Model.RecommendationJobCompiledOutputConfig(); System.String requestOutputConfig_outputConfig_CompiledOutputConfig_compiledOutputConfig_S3OutputUri = null; if (cmdletContext.CompiledOutputConfig_S3OutputUri != null) { requestOutputConfig_outputConfig_CompiledOutputConfig_compiledOutputConfig_S3OutputUri = cmdletContext.CompiledOutputConfig_S3OutputUri; } if (requestOutputConfig_outputConfig_CompiledOutputConfig_compiledOutputConfig_S3OutputUri != null) { requestOutputConfig_outputConfig_CompiledOutputConfig.S3OutputUri = requestOutputConfig_outputConfig_CompiledOutputConfig_compiledOutputConfig_S3OutputUri; requestOutputConfig_outputConfig_CompiledOutputConfigIsNull = false; } // determine if requestOutputConfig_outputConfig_CompiledOutputConfig should be set to null if (requestOutputConfig_outputConfig_CompiledOutputConfigIsNull) { requestOutputConfig_outputConfig_CompiledOutputConfig = null; } if (requestOutputConfig_outputConfig_CompiledOutputConfig != null) { request.OutputConfig.CompiledOutputConfig = requestOutputConfig_outputConfig_CompiledOutputConfig; requestOutputConfigIsNull = false; } // determine if request.OutputConfig should be set to null if (requestOutputConfigIsNull) { request.OutputConfig = null; } if (cmdletContext.RoleArn != null) { request.RoleArn = cmdletContext.RoleArn; } // populate StoppingConditions var requestStoppingConditionsIsNull = true; request.StoppingConditions = new Amazon.SageMaker.Model.RecommendationJobStoppingConditions(); System.Int32? requestStoppingConditions_stoppingConditions_MaxInvocation = null; if (cmdletContext.StoppingConditions_MaxInvocation != null) { requestStoppingConditions_stoppingConditions_MaxInvocation = cmdletContext.StoppingConditions_MaxInvocation.Value; } if (requestStoppingConditions_stoppingConditions_MaxInvocation != null) { request.StoppingConditions.MaxInvocations = requestStoppingConditions_stoppingConditions_MaxInvocation.Value; requestStoppingConditionsIsNull = false; } List<Amazon.SageMaker.Model.ModelLatencyThreshold> requestStoppingConditions_stoppingConditions_ModelLatencyThreshold = null; if (cmdletContext.StoppingConditions_ModelLatencyThreshold != null) { requestStoppingConditions_stoppingConditions_ModelLatencyThreshold = cmdletContext.StoppingConditions_ModelLatencyThreshold; } if (requestStoppingConditions_stoppingConditions_ModelLatencyThreshold != null) { request.StoppingConditions.ModelLatencyThresholds = requestStoppingConditions_stoppingConditions_ModelLatencyThreshold; requestStoppingConditionsIsNull = false; } // determine if request.StoppingConditions should be set to null if (requestStoppingConditionsIsNull) { request.StoppingConditions = null; } if (cmdletContext.Tag != null) { request.Tags = cmdletContext.Tag; } 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.CreateInferenceRecommendationsJobResponse CallAWSServiceOperation(IAmazonSageMaker client, Amazon.SageMaker.Model.CreateInferenceRecommendationsJobRequest request) { Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon SageMaker Service", "CreateInferenceRecommendationsJob"); try { #if DESKTOP return client.CreateInferenceRecommendationsJob(request); #elif CORECLR return client.CreateInferenceRecommendationsJobAsync(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 System.String ContainerConfig_DataInputConfig { get; set; } public System.String ContainerConfig_Domain { get; set; } public System.String ContainerConfig_Framework { get; set; } public System.String ContainerConfig_FrameworkVersion { get; set; } public System.String ContainerConfig_NearestModelName { get; set; } public System.String PayloadConfig_SamplePayloadUrl { get; set; } public List<System.String> PayloadConfig_SupportedContentType { get; set; } public Amazon.SageMaker.RecommendationJobSupportedEndpointType ContainerConfig_SupportedEndpointType { get; set; } public List<System.String> ContainerConfig_SupportedInstanceType { get; set; } public System.String ContainerConfig_Task { get; set; } public List<Amazon.SageMaker.Model.EndpointInputConfiguration> InputConfig_EndpointConfiguration { get; set; } public List<Amazon.SageMaker.Model.EndpointInfo> InputConfig_Endpoint { get; set; } public System.Int32? InputConfig_JobDurationInSecond { get; set; } public System.String InputConfig_ModelName { get; set; } public System.String InputConfig_ModelPackageVersionArn { get; set; } public System.Int32? ResourceLimit_MaxNumberOfTest { get; set; } public System.Int32? ResourceLimit_MaxParallelOfTest { get; set; } public List<Amazon.SageMaker.Model.Phase> TrafficPattern_Phase { get; set; } public Amazon.SageMaker.TrafficType TrafficPattern_TrafficType { get; set; } public System.String InputConfig_VolumeKmsKeyId { get; set; } public List<System.String> VpcConfig_SecurityGroupId { get; set; } public List<System.String> VpcConfig_Subnet { get; set; } public System.String JobDescription { get; set; } public System.String JobName { get; set; } public Amazon.SageMaker.RecommendationJobType JobType { get; set; } public System.String CompiledOutputConfig_S3OutputUri { get; set; } public System.String OutputConfig_KmsKeyId { get; set; } public System.String RoleArn { get; set; } public System.Int32? StoppingConditions_MaxInvocation { get; set; } public List<Amazon.SageMaker.Model.ModelLatencyThreshold> StoppingConditions_ModelLatencyThreshold { get; set; } public List<Amazon.SageMaker.Model.Tag> Tag { get; set; } public System.Func<Amazon.SageMaker.Model.CreateInferenceRecommendationsJobResponse, NewSMInferenceRecommendationsJobCmdlet, object> Select { get; set; } = (response, cmdlet) => response.JobArn; } } }