/******************************************************************************* * 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.ForecastService; using Amazon.ForecastService.Model; namespace Amazon.PowerShell.Cmdlets.FRC { /// /// Provides metrics on the accuracy of the models that were trained by the CreatePredictor /// operation. Use metrics to see how well the model performed and to decide whether to /// use the predictor to generate a forecast. For more information, see Predictor /// Metrics. /// /// /// /// This operation generates metrics for each backtest window that was evaluated. The /// number of backtest windows (NumberOfBacktestWindows) is specified using /// the EvaluationParameters object, which is optionally included in the CreatePredictor /// request. If NumberOfBacktestWindows isn't specified, the number defaults /// to one. /// /// The parameters of the filling method determine which items contribute /// to the metrics. If you want all items to contribute, specify zero. If /// you want only those items that have complete data in the range being evaluated to /// contribute, specify nan. For more information, see FeaturizationMethod. /// /// Before you can get accuracy metrics, the Status of the predictor must /// be ACTIVE, signifying that training has completed. To get the status, /// use the DescribePredictor operation. /// /// [Cmdlet("Get", "FRCAccuracyMetric")] [OutputType("Amazon.ForecastService.Model.EvaluationResult")] [AWSCmdlet("Calls the Amazon Forecast Service GetAccuracyMetrics API operation.", Operation = new[] {"GetAccuracyMetrics"}, SelectReturnType = typeof(Amazon.ForecastService.Model.GetAccuracyMetricsResponse))] [AWSCmdletOutput("Amazon.ForecastService.Model.EvaluationResult or Amazon.ForecastService.Model.GetAccuracyMetricsResponse", "This cmdlet returns a collection of Amazon.ForecastService.Model.EvaluationResult objects.", "The service call response (type Amazon.ForecastService.Model.GetAccuracyMetricsResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack." )] public partial class GetFRCAccuracyMetricCmdlet : AmazonForecastServiceClientCmdlet, IExecutor { #region Parameter PredictorArn /// /// /// The Amazon Resource Name (ARN) of the predictor to get metrics for. /// /// #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 PredictorArn { get; set; } #endregion #region Parameter Select /// /// Use the -Select parameter to control the cmdlet output. The default value is 'PredictorEvaluationResults'. /// Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.ForecastService.Model.GetAccuracyMetricsResponse). /// Specifying the name of a property of type Amazon.ForecastService.Model.GetAccuracyMetricsResponse 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; } = "PredictorEvaluationResults"; #endregion #region Parameter PassThru /// /// Changes the cmdlet behavior to return the value passed to the PredictorArn parameter. /// The -PassThru parameter is deprecated, use -Select '^PredictorArn' instead. This parameter will be removed in a future version. /// [System.Obsolete("The -PassThru parameter is deprecated, use -Select '^PredictorArn' instead. This parameter will be removed in a future version.")] [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public SwitchParameter PassThru { get; set; } #endregion protected override void ProcessRecord() { this._AWSSignerType = "v4"; base.ProcessRecord(); 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.PredictorArn; } #pragma warning restore CS0618, CS0612 //A class member was marked with the Obsolete attribute context.PredictorArn = this.PredictorArn; #if MODULAR if (this.PredictorArn == null && ParameterWasBound(nameof(this.PredictorArn))) { WriteWarning("You are passing $null as a value for parameter PredictorArn 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 // 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.ForecastService.Model.GetAccuracyMetricsRequest(); if (cmdletContext.PredictorArn != null) { request.PredictorArn = cmdletContext.PredictorArn; } 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.ForecastService.Model.GetAccuracyMetricsResponse CallAWSServiceOperation(IAmazonForecastService client, Amazon.ForecastService.Model.GetAccuracyMetricsRequest request) { Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon Forecast Service", "GetAccuracyMetrics"); try { #if DESKTOP return client.GetAccuracyMetrics(request); #elif CORECLR return client.GetAccuracyMetricsAsync(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 PredictorArn { get; set; } public System.Func Select { get; set; } = (response, cmdlet) => response.PredictorEvaluationResults; } } }