BatchPredictionName
BatchPrediction
You can use the GetBatchPrediction operation to view the contents of the updated data element.
GetBatchPrediction
public object Execute(ExecutorContext context) { var cmdletContext = context as CmdletContext; // create request var request = new Amazon.MachineLearning.Model.UpdateBatchPredictionRequest(); if (cmdletContext.BatchPredictionId != null) { request.BatchPredictionId = cmdletContext.BatchPredictionId; } if (cmdletContext.BatchPredictionName != null) { request.BatchPredictionName = cmdletContext.BatchPredictionName; } 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); }
/// <summary> /// Initiates the asynchronous execution of the UpdateBatchPrediction operation. /// </summary> /// /// <param name="request">Container for the necessary parameters to execute the UpdateBatchPrediction operation.</param> /// <param name="cancellationToken"> /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. /// </param> /// <returns>The task object representing the asynchronous operation.</returns> public Task<UpdateBatchPredictionResponse> UpdateBatchPredictionAsync(UpdateBatchPredictionRequest request, System.Threading.CancellationToken cancellationToken = default(CancellationToken)) { var marshaller = new UpdateBatchPredictionRequestMarshaller(); var unmarshaller = UpdateBatchPredictionResponseUnmarshaller.Instance; return InvokeAsync<UpdateBatchPredictionRequest,UpdateBatchPredictionResponse>(request, marshaller, unmarshaller, cancellationToken); }
/// <summary> /// Updates the <code>BatchPredictionName</code> of a <code>BatchPrediction</code>. /// /// /// <para> /// You can use the <a>GetBatchPrediction</a> operation to view the contents of the updated /// data element. /// </para> /// </summary> /// <param name="batchPredictionId">The ID assigned to the <code>BatchPrediction</code> during creation.</param> /// <param name="batchPredictionName">A new user-supplied name or description of the <code>BatchPrediction</code>.</param> /// <param name="cancellationToken"> /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. /// </param> /// /// <returns>The response from the UpdateBatchPrediction service method, as returned by MachineLearning.</returns> /// <exception cref="Amazon.MachineLearning.Model.InternalServerException"> /// An error on the server occurred when trying to process a request. /// </exception> /// <exception cref="Amazon.MachineLearning.Model.InvalidInputException"> /// An error on the client occurred. Typically, the cause is an invalid input value. /// </exception> /// <exception cref="Amazon.MachineLearning.Model.ResourceNotFoundException"> /// A specified resource cannot be located. /// </exception> public Task<UpdateBatchPredictionResponse> UpdateBatchPredictionAsync(string batchPredictionId, string batchPredictionName, System.Threading.CancellationToken cancellationToken = default(CancellationToken)) { var request = new UpdateBatchPredictionRequest(); request.BatchPredictionId = batchPredictionId; request.BatchPredictionName = batchPredictionName; return UpdateBatchPredictionAsync(request, cancellationToken); }
internal UpdateBatchPredictionResponse UpdateBatchPrediction(UpdateBatchPredictionRequest request) { var marshaller = new UpdateBatchPredictionRequestMarshaller(); var unmarshaller = UpdateBatchPredictionResponseUnmarshaller.Instance; return Invoke<UpdateBatchPredictionRequest,UpdateBatchPredictionResponse>(request, marshaller, unmarshaller); }
/// <summary> /// Updates the <code>BatchPredictionName</code> of a <code>BatchPrediction</code>. /// /// /// <para> /// You can use the <code>GetBatchPrediction</code> operation to view the contents of /// the updated data element. /// </para> /// </summary> /// <param name="batchPredictionId">The ID assigned to the <code>BatchPrediction</code> during creation.</param> /// <param name="batchPredictionName">A new user-supplied name or description of the <code>BatchPrediction</code>.</param> /// /// <returns>The response from the UpdateBatchPrediction service method, as returned by MachineLearning.</returns> /// <exception cref="Amazon.MachineLearning.Model.InternalServerException"> /// An error on the server occurred when trying to process a request. /// </exception> /// <exception cref="Amazon.MachineLearning.Model.InvalidInputException"> /// An error on the client occurred. Typically, the cause is an invalid input value. /// </exception> /// <exception cref="Amazon.MachineLearning.Model.ResourceNotFoundException"> /// A specified resource cannot be located. /// </exception> public UpdateBatchPredictionResponse UpdateBatchPrediction(string batchPredictionId, string batchPredictionName) { var request = new UpdateBatchPredictionRequest(); request.BatchPredictionId = batchPredictionId; request.BatchPredictionName = batchPredictionName; return UpdateBatchPrediction(request); }
/// <summary> /// Initiates the asynchronous execution of the UpdateBatchPrediction operation. /// </summary> /// /// <param name="request">Container for the necessary parameters to execute the UpdateBatchPrediction operation on AmazonMachineLearningClient.</param> /// <param name="callback">An AsyncCallback delegate that is invoked when the operation completes.</param> /// <param name="state">A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.</param> /// /// <returns>An IAsyncResult that can be used to poll or wait for results, or both; this value is also needed when invoking EndUpdateBatchPrediction /// operation.</returns> public IAsyncResult BeginUpdateBatchPrediction(UpdateBatchPredictionRequest request, AsyncCallback callback, object state) { var marshaller = new UpdateBatchPredictionRequestMarshaller(); var unmarshaller = UpdateBatchPredictionResponseUnmarshaller.Instance; return BeginInvoke<UpdateBatchPredictionRequest>(request, marshaller, unmarshaller, callback, state); }
private Amazon.MachineLearning.Model.UpdateBatchPredictionResponse CallAWSServiceOperation(IAmazonMachineLearning client, Amazon.MachineLearning.Model.UpdateBatchPredictionRequest request) { Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon Machine Learning", "UpdateBatchPrediction"); try { #if DESKTOP return(client.UpdateBatchPrediction(request)); #elif CORECLR return(client.UpdateBatchPredictionAsync(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; } }