C# Class Amazon.MachineLearning.AmazonMachineLearningClient

Implementation for accessing MachineLearning Definition of the public APIs exposed by Amazon Machine Learning
Inheritance: AmazonServiceClient, IAmazonMachineLearning
Datei anzeigen Open project: aws/aws-sdk-net

Public Methods

Method Description
AddTagsAsync ( AddTagsRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the AddTags operation.

AmazonMachineLearningClient ( ) : System

Constructs AmazonMachineLearningClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>

AmazonMachineLearningClient ( AWSCredentials credentials ) : System

Constructs AmazonMachineLearningClient with AWS Credentials

AmazonMachineLearningClient ( AWSCredentials credentials, AmazonMachineLearningConfig clientConfig ) : System

Constructs AmazonMachineLearningClient with AWS Credentials and an AmazonMachineLearningClient Configuration object.

AmazonMachineLearningClient ( AWSCredentials credentials, RegionEndpoint region ) : System

Constructs AmazonMachineLearningClient with AWS Credentials

AmazonMachineLearningClient ( AmazonMachineLearningConfig config ) : System

Constructs AmazonMachineLearningClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>

AmazonMachineLearningClient ( RegionEndpoint region ) : System

Constructs AmazonMachineLearningClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>

AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey ) : System

Constructs AmazonMachineLearningClient with AWS Access Key ID and AWS Secret Key

AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey, AmazonMachineLearningConfig clientConfig ) : System

Constructs AmazonMachineLearningClient with AWS Access Key ID, AWS Secret Key and an AmazonMachineLearningClient Configuration object.

AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey, RegionEndpoint region ) : System

Constructs AmazonMachineLearningClient with AWS Access Key ID and AWS Secret Key

AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken ) : System

Constructs AmazonMachineLearningClient with AWS Access Key ID and AWS Secret Key

AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken, AmazonMachineLearningConfig clientConfig ) : System

Constructs AmazonMachineLearningClient with AWS Access Key ID, AWS Secret Key and an AmazonMachineLearningClient Configuration object.

AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken, RegionEndpoint region ) : System

Constructs AmazonMachineLearningClient with AWS Access Key ID and AWS Secret Key

BeginAddTags ( AddTagsRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the AddTags operation.

BeginCreateBatchPrediction ( CreateBatchPredictionRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the CreateBatchPrediction operation.

BeginCreateDataSourceFromRDS ( CreateDataSourceFromRDSRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the CreateDataSourceFromRDS operation.

BeginCreateDataSourceFromRedshift ( CreateDataSourceFromRedshiftRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the CreateDataSourceFromRedshift operation.

BeginCreateDataSourceFromS3 ( CreateDataSourceFromS3Request request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the CreateDataSourceFromS3 operation.

BeginCreateEvaluation ( CreateEvaluationRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the CreateEvaluation operation.

BeginCreateMLModel ( CreateMLModelRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the CreateMLModel operation.

BeginCreateRealtimeEndpoint ( Amazon.MachineLearning.Model.CreateRealtimeEndpointRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the CreateRealtimeEndpoint operation.

BeginDeleteBatchPrediction ( Amazon.MachineLearning.Model.DeleteBatchPredictionRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DeleteBatchPrediction operation.

BeginDeleteDataSource ( Amazon.MachineLearning.Model.DeleteDataSourceRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DeleteDataSource operation.

BeginDeleteEvaluation ( DeleteEvaluationRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DeleteEvaluation operation.

BeginDeleteMLModel ( Amazon.MachineLearning.Model.DeleteMLModelRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DeleteMLModel operation.

BeginDeleteRealtimeEndpoint ( Amazon.MachineLearning.Model.DeleteRealtimeEndpointRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DeleteRealtimeEndpoint operation.

BeginDeleteTags ( DeleteTagsRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DeleteTags operation.

BeginDescribeBatchPredictions ( DescribeBatchPredictionsRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DescribeBatchPredictions operation.

BeginDescribeDataSources ( Amazon.MachineLearning.Model.DescribeDataSourcesRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DescribeDataSources operation.

BeginDescribeEvaluations ( Amazon.MachineLearning.Model.DescribeEvaluationsRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DescribeEvaluations operation.

BeginDescribeMLModels ( DescribeMLModelsRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DescribeMLModels operation.

BeginDescribeTags ( DescribeTagsRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the DescribeTags operation.

BeginGetBatchPrediction ( Amazon.MachineLearning.Model.GetBatchPredictionRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the GetBatchPrediction operation.

BeginGetDataSource ( Amazon.MachineLearning.Model.GetDataSourceRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the GetDataSource operation.

BeginGetEvaluation ( Amazon.MachineLearning.Model.GetEvaluationRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the GetEvaluation operation.

BeginGetMLModel ( GetMLModelRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the GetMLModel operation.

BeginPredict ( Amazon.MachineLearning.Model.PredictRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the Predict operation.

BeginUpdateBatchPrediction ( UpdateBatchPredictionRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the UpdateBatchPrediction operation.

BeginUpdateDataSource ( UpdateDataSourceRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the UpdateDataSource operation.

BeginUpdateEvaluation ( UpdateEvaluationRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the UpdateEvaluation operation.

BeginUpdateMLModel ( UpdateMLModelRequest request, AsyncCallback callback, object state ) : IAsyncResult

Initiates the asynchronous execution of the UpdateMLModel operation.

CreateBatchPredictionAsync ( CreateBatchPredictionRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the CreateBatchPrediction operation.

CreateDataSourceFromRDSAsync ( CreateDataSourceFromRDSRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the CreateDataSourceFromRDS operation.

CreateDataSourceFromRedshiftAsync ( CreateDataSourceFromRedshiftRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the CreateDataSourceFromRedshift operation.

CreateDataSourceFromS3Async ( CreateDataSourceFromS3Request request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the CreateDataSourceFromS3 operation.

CreateEvaluationAsync ( CreateEvaluationRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the CreateEvaluation operation.

CreateMLModelAsync ( CreateMLModelRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the CreateMLModel operation.

CreateRealtimeEndpoint ( string mlModelId ) : CreateRealtimeEndpointResponse

Creates a real-time endpoint for the MLModel. The endpoint contains the URI of the MLModel; that is, the location to send real-time prediction requests for the specified MLModel.

CreateRealtimeEndpointAsync ( Amazon.MachineLearning.Model.CreateRealtimeEndpointRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the CreateRealtimeEndpoint operation.

CreateRealtimeEndpointAsync ( string mlModelId, System cancellationToken = default(CancellationToken) ) : Task

Creates a real-time endpoint for the MLModel. The endpoint contains the URI of the MLModel; that is, the location to send real-time prediction requests for the specified MLModel.

DeleteBatchPrediction ( string batchPredictionId ) : DeleteBatchPredictionResponse

Assigns the DELETED status to a BatchPrediction, rendering it unusable.

After using the DeleteBatchPrediction operation, you can use the GetBatchPrediction operation to verify that the status of the BatchPrediction changed to DELETED.

Caution: The result of the DeleteBatchPrediction operation is irreversible.

DeleteBatchPredictionAsync ( Amazon.MachineLearning.Model.DeleteBatchPredictionRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DeleteBatchPrediction operation.

DeleteBatchPredictionAsync ( string batchPredictionId, System cancellationToken = default(CancellationToken) ) : Task

Assigns the DELETED status to a BatchPrediction, rendering it unusable.

After using the DeleteBatchPrediction operation, you can use the GetBatchPrediction operation to verify that the status of the BatchPrediction changed to DELETED.

Caution: The result of the DeleteBatchPrediction operation is irreversible.

DeleteDataSource ( string dataSourceId ) : DeleteDataSourceResponse

Assigns the DELETED status to a DataSource, rendering it unusable.

After using the DeleteDataSource operation, you can use the GetDataSource operation to verify that the status of the DataSource changed to DELETED.

Caution: The results of the DeleteDataSource operation are irreversible.

DeleteDataSourceAsync ( Amazon.MachineLearning.Model.DeleteDataSourceRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DeleteDataSource operation.

DeleteDataSourceAsync ( string dataSourceId, System cancellationToken = default(CancellationToken) ) : Task

Assigns the DELETED status to a DataSource, rendering it unusable.

After using the DeleteDataSource operation, you can use the GetDataSource operation to verify that the status of the DataSource changed to DELETED.

Caution: The results of the DeleteDataSource operation are irreversible.

DeleteEvaluation ( string evaluationId ) : DeleteEvaluationResponse

Assigns the DELETED status to an Evaluation, rendering it unusable.

After invoking the DeleteEvaluation operation, you can use the GetEvaluation operation to verify that the status of the Evaluation changed to DELETED.

Caution

The results of the DeleteEvaluation operation are irreversible.

DeleteEvaluationAsync ( DeleteEvaluationRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DeleteEvaluation operation.

DeleteEvaluationAsync ( string evaluationId, System cancellationToken = default(CancellationToken) ) : Task

Assigns the DELETED status to an Evaluation, rendering it unusable.

After invoking the DeleteEvaluation operation, you can use the GetEvaluation operation to verify that the status of the Evaluation changed to DELETED.

Caution

The results of the DeleteEvaluation operation are irreversible.

DeleteMLModel ( string mlModelId ) : DeleteMLModelResponse

Assigns the DELETED status to an MLModel, rendering it unusable.

After using the DeleteMLModel operation, you can use the GetMLModel operation to verify that the status of the MLModel changed to DELETED.

Caution: The result of the DeleteMLModel operation is irreversible.

DeleteMLModelAsync ( Amazon.MachineLearning.Model.DeleteMLModelRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DeleteMLModel operation.

DeleteMLModelAsync ( string mlModelId, System cancellationToken = default(CancellationToken) ) : Task

Assigns the DELETED status to an MLModel, rendering it unusable.

After using the DeleteMLModel operation, you can use the GetMLModel operation to verify that the status of the MLModel changed to DELETED.

Caution: The result of the DeleteMLModel operation is irreversible.

DeleteRealtimeEndpoint ( string mlModelId ) : DeleteRealtimeEndpointResponse

Deletes a real time endpoint of an MLModel.

DeleteRealtimeEndpointAsync ( Amazon.MachineLearning.Model.DeleteRealtimeEndpointRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DeleteRealtimeEndpoint operation.

DeleteRealtimeEndpointAsync ( string mlModelId, System cancellationToken = default(CancellationToken) ) : Task

Deletes a real time endpoint of an MLModel.

DeleteTagsAsync ( DeleteTagsRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DeleteTags operation.

DescribeBatchPredictionsAsync ( DescribeBatchPredictionsRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DescribeBatchPredictions operation.

DescribeDataSourcesAsync ( DescribeDataSourcesRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DescribeDataSources operation.

DescribeEvaluationsAsync ( DescribeEvaluationsRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DescribeEvaluations operation.

DescribeMLModelsAsync ( DescribeMLModelsRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DescribeMLModels operation.

DescribeTagsAsync ( DescribeTagsRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the DescribeTags operation.

EndAddTags ( IAsyncResult asyncResult ) : AddTagsResponse

Finishes the asynchronous execution of the AddTags operation.

EndCreateBatchPrediction ( IAsyncResult asyncResult ) : CreateBatchPredictionResponse

Finishes the asynchronous execution of the CreateBatchPrediction operation.

EndCreateDataSourceFromRDS ( IAsyncResult asyncResult ) : CreateDataSourceFromRDSResponse

Finishes the asynchronous execution of the CreateDataSourceFromRDS operation.

EndCreateDataSourceFromRedshift ( IAsyncResult asyncResult ) : CreateDataSourceFromRedshiftResponse

Finishes the asynchronous execution of the CreateDataSourceFromRedshift operation.

EndCreateDataSourceFromS3 ( IAsyncResult asyncResult ) : CreateDataSourceFromS3Response

Finishes the asynchronous execution of the CreateDataSourceFromS3 operation.

EndCreateEvaluation ( IAsyncResult asyncResult ) : CreateEvaluationResponse

Finishes the asynchronous execution of the CreateEvaluation operation.

EndCreateMLModel ( IAsyncResult asyncResult ) : CreateMLModelResponse

Finishes the asynchronous execution of the CreateMLModel operation.

EndCreateRealtimeEndpoint ( IAsyncResult asyncResult ) : CreateRealtimeEndpointResponse

Finishes the asynchronous execution of the CreateRealtimeEndpoint operation.

EndDeleteBatchPrediction ( IAsyncResult asyncResult ) : DeleteBatchPredictionResponse

Finishes the asynchronous execution of the DeleteBatchPrediction operation.

EndDeleteDataSource ( IAsyncResult asyncResult ) : DeleteDataSourceResponse

Finishes the asynchronous execution of the DeleteDataSource operation.

EndDeleteEvaluation ( IAsyncResult asyncResult ) : DeleteEvaluationResponse

Finishes the asynchronous execution of the DeleteEvaluation operation.

EndDeleteMLModel ( IAsyncResult asyncResult ) : DeleteMLModelResponse

Finishes the asynchronous execution of the DeleteMLModel operation.

EndDeleteRealtimeEndpoint ( IAsyncResult asyncResult ) : DeleteRealtimeEndpointResponse

Finishes the asynchronous execution of the DeleteRealtimeEndpoint operation.

EndDeleteTags ( IAsyncResult asyncResult ) : DeleteTagsResponse

Finishes the asynchronous execution of the DeleteTags operation.

EndDescribeBatchPredictions ( IAsyncResult asyncResult ) : DescribeBatchPredictionsResponse

Finishes the asynchronous execution of the DescribeBatchPredictions operation.

EndDescribeDataSources ( IAsyncResult asyncResult ) : DescribeDataSourcesResponse

Finishes the asynchronous execution of the DescribeDataSources operation.

EndDescribeEvaluations ( IAsyncResult asyncResult ) : DescribeEvaluationsResponse

Finishes the asynchronous execution of the DescribeEvaluations operation.

EndDescribeMLModels ( IAsyncResult asyncResult ) : DescribeMLModelsResponse

Finishes the asynchronous execution of the DescribeMLModels operation.

EndDescribeTags ( IAsyncResult asyncResult ) : DescribeTagsResponse

Finishes the asynchronous execution of the DescribeTags operation.

EndGetBatchPrediction ( IAsyncResult asyncResult ) : GetBatchPredictionResponse

Finishes the asynchronous execution of the GetBatchPrediction operation.

EndGetDataSource ( IAsyncResult asyncResult ) : GetDataSourceResponse

Finishes the asynchronous execution of the GetDataSource operation.

EndGetEvaluation ( IAsyncResult asyncResult ) : GetEvaluationResponse

Finishes the asynchronous execution of the GetEvaluation operation.

EndGetMLModel ( IAsyncResult asyncResult ) : GetMLModelResponse

Finishes the asynchronous execution of the GetMLModel operation.

EndPredict ( IAsyncResult asyncResult ) : PredictResponse

Finishes the asynchronous execution of the Predict operation.

EndUpdateBatchPrediction ( IAsyncResult asyncResult ) : UpdateBatchPredictionResponse

Finishes the asynchronous execution of the UpdateBatchPrediction operation.

EndUpdateDataSource ( IAsyncResult asyncResult ) : UpdateDataSourceResponse

Finishes the asynchronous execution of the UpdateDataSource operation.

EndUpdateEvaluation ( IAsyncResult asyncResult ) : UpdateEvaluationResponse

Finishes the asynchronous execution of the UpdateEvaluation operation.

EndUpdateMLModel ( IAsyncResult asyncResult ) : UpdateMLModelResponse

Finishes the asynchronous execution of the UpdateMLModel operation.

GetBatchPrediction ( string batchPredictionId ) : GetBatchPredictionResponse

Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.

GetBatchPredictionAsync ( GetBatchPredictionRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the GetBatchPrediction operation.

GetBatchPredictionAsync ( string batchPredictionId, System cancellationToken = default(CancellationToken) ) : Task

Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.

GetDataSource ( string dataSourceId ) : GetDataSourceResponse

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

GetDataSource provides results in normal or verbose format. The verbose format adds the schema description and the list of files pointed to by the DataSource to the normal format.

GetDataSource ( string dataSourceId, bool verbose ) : GetDataSourceResponse

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

GetDataSource provides results in normal or verbose format. The verbose format adds the schema description and the list of files pointed to by the DataSource to the normal format.

GetDataSourceAsync ( GetDataSourceRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the GetDataSource operation.

GetDataSourceAsync ( string dataSourceId, System cancellationToken = default(CancellationToken) ) : Task

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

GetDataSource provides results in normal or verbose format. The verbose format adds the schema description and the list of files pointed to by the DataSource to the normal format.

GetDataSourceAsync ( string dataSourceId, bool verbose, System cancellationToken = default(CancellationToken) ) : Task

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

GetDataSource provides results in normal or verbose format. The verbose format adds the schema description and the list of files pointed to by the DataSource to the normal format.

GetEvaluation ( string evaluationId ) : GetEvaluationResponse

Returns an Evaluation that includes metadata as well as the current status of the Evaluation.

GetEvaluationAsync ( GetEvaluationRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the GetEvaluation operation.

GetEvaluationAsync ( string evaluationId, System cancellationToken = default(CancellationToken) ) : Task

Returns an Evaluation that includes metadata as well as the current status of the Evaluation.

GetMLModel ( string mlModelId ) : GetMLModelResponse

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

GetMLModel provides results in normal or verbose format.

GetMLModel ( string mlModelId, bool verbose ) : GetMLModelResponse

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

GetMLModel provides results in normal or verbose format.

GetMLModelAsync ( GetMLModelRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the GetMLModel operation.

GetMLModelAsync ( string mlModelId, System cancellationToken = default(CancellationToken) ) : Task

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

GetMLModel provides results in normal or verbose format.

GetMLModelAsync ( string mlModelId, bool verbose, System cancellationToken = default(CancellationToken) ) : Task

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

GetMLModel provides results in normal or verbose format.

Predict ( string mlModelId, string predictEndpoint, string>.Dictionary record ) : PredictResponse

Generates a prediction for the observation using the specified ML Model. Note

Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested.

PredictAsync ( PredictRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the Predict operation.

PredictAsync ( string mlModelId, string predictEndpoint, string>.Dictionary record, System cancellationToken = default(CancellationToken) ) : Task

Generates a prediction for the observation using the specified ML Model. Note

Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested.

UpdateBatchPrediction ( string batchPredictionId, string batchPredictionName ) : UpdateBatchPredictionResponse

Updates the BatchPredictionName of a BatchPrediction.

You can use the GetBatchPrediction operation to view the contents of the updated data element.

UpdateBatchPredictionAsync ( UpdateBatchPredictionRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the UpdateBatchPrediction operation.

UpdateBatchPredictionAsync ( string batchPredictionId, string batchPredictionName, System cancellationToken = default(CancellationToken) ) : Task

Updates the BatchPredictionName of a BatchPrediction.

You can use the GetBatchPrediction operation to view the contents of the updated data element.

UpdateDataSource ( string dataSourceId, string dataSourceName ) : UpdateDataSourceResponse

Updates the DataSourceName of a DataSource.

You can use the GetDataSource operation to view the contents of the updated data element.

UpdateDataSourceAsync ( UpdateDataSourceRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the UpdateDataSource operation.

UpdateDataSourceAsync ( string dataSourceId, string dataSourceName, System cancellationToken = default(CancellationToken) ) : Task

Updates the DataSourceName of a DataSource.

You can use the GetDataSource operation to view the contents of the updated data element.

UpdateEvaluation ( string evaluationId, string evaluationName ) : UpdateEvaluationResponse

Updates the EvaluationName of an Evaluation.

You can use the GetEvaluation operation to view the contents of the updated data element.

UpdateEvaluationAsync ( UpdateEvaluationRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the UpdateEvaluation operation.

UpdateEvaluationAsync ( string evaluationId, string evaluationName, System cancellationToken = default(CancellationToken) ) : Task

Updates the EvaluationName of an Evaluation.

You can use the GetEvaluation operation to view the contents of the updated data element.

UpdateMLModel ( string mlModelId, string mlModelName, float scoreThreshold ) : UpdateMLModelResponse

Updates the MLModelName and the ScoreThreshold of an MLModel.

You can use the GetMLModel operation to view the contents of the updated data element.

UpdateMLModelAsync ( UpdateMLModelRequest request, System cancellationToken = default(CancellationToken) ) : Task

Initiates the asynchronous execution of the UpdateMLModel operation.

UpdateMLModelAsync ( string mlModelId, string mlModelName, float scoreThreshold, System cancellationToken = default(CancellationToken) ) : Task

Updates the MLModelName and the ScoreThreshold of an MLModel.

You can use the GetMLModel operation to view the contents of the updated data element.

Protected Methods

Method Description
CreateSigner ( ) : AbstractAWSSigner

Creates the signer for the service.

CustomizeRuntimePipeline ( RuntimePipeline pipeline ) : void

Customizes the runtime pipeline.

Dispose ( bool disposing ) : void

Disposes the service client.

Private Methods

Method Description
AddTags ( AddTagsRequest request ) : AddTagsResponse
CreateBatchPrediction ( CreateBatchPredictionRequest request ) : CreateBatchPredictionResponse
CreateDataSourceFromRDS ( CreateDataSourceFromRDSRequest request ) : CreateDataSourceFromRDSResponse
CreateDataSourceFromRedshift ( CreateDataSourceFromRedshiftRequest request ) : CreateDataSourceFromRedshiftResponse
CreateDataSourceFromS3 ( CreateDataSourceFromS3Request request ) : CreateDataSourceFromS3Response
CreateEvaluation ( CreateEvaluationRequest request ) : CreateEvaluationResponse
CreateMLModel ( CreateMLModelRequest request ) : CreateMLModelResponse
CreateRealtimeEndpoint ( Amazon.MachineLearning.Model.CreateRealtimeEndpointRequest request ) : CreateRealtimeEndpointResponse
DeleteBatchPrediction ( Amazon.MachineLearning.Model.DeleteBatchPredictionRequest request ) : DeleteBatchPredictionResponse
DeleteDataSource ( Amazon.MachineLearning.Model.DeleteDataSourceRequest request ) : DeleteDataSourceResponse
DeleteEvaluation ( DeleteEvaluationRequest request ) : DeleteEvaluationResponse
DeleteMLModel ( Amazon.MachineLearning.Model.DeleteMLModelRequest request ) : DeleteMLModelResponse
DeleteRealtimeEndpoint ( Amazon.MachineLearning.Model.DeleteRealtimeEndpointRequest request ) : DeleteRealtimeEndpointResponse
DeleteTags ( DeleteTagsRequest request ) : DeleteTagsResponse
DescribeBatchPredictions ( DescribeBatchPredictionsRequest request ) : DescribeBatchPredictionsResponse
DescribeDataSources ( DescribeDataSourcesRequest request ) : DescribeDataSourcesResponse
DescribeEvaluations ( DescribeEvaluationsRequest request ) : DescribeEvaluationsResponse
DescribeMLModels ( DescribeMLModelsRequest request ) : DescribeMLModelsResponse
DescribeTags ( DescribeTagsRequest request ) : DescribeTagsResponse
GetBatchPrediction ( GetBatchPredictionRequest request ) : GetBatchPredictionResponse
GetDataSource ( GetDataSourceRequest request ) : GetDataSourceResponse
GetEvaluation ( GetEvaluationRequest request ) : GetEvaluationResponse
GetMLModel ( GetMLModelRequest request ) : GetMLModelResponse
Predict ( PredictRequest request ) : PredictResponse
UpdateBatchPrediction ( UpdateBatchPredictionRequest request ) : UpdateBatchPredictionResponse
UpdateDataSource ( UpdateDataSourceRequest request ) : UpdateDataSourceResponse
UpdateEvaluation ( UpdateEvaluationRequest request ) : UpdateEvaluationResponse
UpdateMLModel ( UpdateMLModelRequest request ) : UpdateMLModelResponse

Method Details

AddTagsAsync() public method

Initiates the asynchronous execution of the AddTags operation.
public AddTagsAsync ( AddTagsRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.AddTagsRequest Container for the necessary parameters to execute the AddTags operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>
public AmazonMachineLearningClient ( ) : System
return System

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with AWS Credentials
public AmazonMachineLearningClient ( AWSCredentials credentials ) : System
credentials Amazon.Runtime.AWSCredentials AWS Credentials
return System

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with AWS Credentials and an AmazonMachineLearningClient Configuration object.
public AmazonMachineLearningClient ( AWSCredentials credentials, AmazonMachineLearningConfig clientConfig ) : System
credentials Amazon.Runtime.AWSCredentials AWS Credentials
clientConfig AmazonMachineLearningConfig The AmazonMachineLearningClient Configuration Object
return System

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with AWS Credentials
public AmazonMachineLearningClient ( AWSCredentials credentials, RegionEndpoint region ) : System
credentials Amazon.Runtime.AWSCredentials AWS Credentials
region RegionEndpoint The region to connect.
return System

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>
public AmazonMachineLearningClient ( AmazonMachineLearningConfig config ) : System
config AmazonMachineLearningConfig The AmazonMachineLearningClient Configuration Object
return System

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. <?xml version="1.0" encoding="utf-8" ?> <configuration> <appSettings> <add key="AWSProfileName" value="AWS Default"/> </appSettings> </configuration>
public AmazonMachineLearningClient ( RegionEndpoint region ) : System
region RegionEndpoint The region to connect.
return System

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with AWS Access Key ID and AWS Secret Key
public AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
return System

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with AWS Access Key ID, AWS Secret Key and an AmazonMachineLearningClient Configuration object.
public AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey, AmazonMachineLearningConfig clientConfig ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
clientConfig AmazonMachineLearningConfig The AmazonMachineLearningClient Configuration Object
return System

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with AWS Access Key ID and AWS Secret Key
public AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey, RegionEndpoint region ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
region RegionEndpoint The region to connect.
return System

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with AWS Access Key ID and AWS Secret Key
public AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
awsSessionToken string AWS Session Token
return System

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with AWS Access Key ID, AWS Secret Key and an AmazonMachineLearningClient Configuration object.
public AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken, AmazonMachineLearningConfig clientConfig ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
awsSessionToken string AWS Session Token
clientConfig AmazonMachineLearningConfig The AmazonMachineLearningClient Configuration Object
return System

AmazonMachineLearningClient() public method

Constructs AmazonMachineLearningClient with AWS Access Key ID and AWS Secret Key
public AmazonMachineLearningClient ( string awsAccessKeyId, string awsSecretAccessKey, string awsSessionToken, RegionEndpoint region ) : System
awsAccessKeyId string AWS Access Key ID
awsSecretAccessKey string AWS Secret Access Key
awsSessionToken string AWS Session Token
region RegionEndpoint The region to connect.
return System

BeginAddTags() public method

Initiates the asynchronous execution of the AddTags operation.
public BeginAddTags ( AddTagsRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.AddTagsRequest Container for the necessary parameters to execute the AddTags operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginCreateBatchPrediction() public method

Initiates the asynchronous execution of the CreateBatchPrediction operation.
public BeginCreateBatchPrediction ( CreateBatchPredictionRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.CreateBatchPredictionRequest Container for the necessary parameters to execute the CreateBatchPrediction operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginCreateDataSourceFromRDS() public method

Initiates the asynchronous execution of the CreateDataSourceFromRDS operation.
public BeginCreateDataSourceFromRDS ( CreateDataSourceFromRDSRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.CreateDataSourceFromRDSRequest Container for the necessary parameters to execute the CreateDataSourceFromRDS operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginCreateDataSourceFromRedshift() public method

Initiates the asynchronous execution of the CreateDataSourceFromRedshift operation.
public BeginCreateDataSourceFromRedshift ( CreateDataSourceFromRedshiftRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.CreateDataSourceFromRedshiftRequest Container for the necessary parameters to execute the CreateDataSourceFromRedshift operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginCreateDataSourceFromS3() public method

Initiates the asynchronous execution of the CreateDataSourceFromS3 operation.
public BeginCreateDataSourceFromS3 ( CreateDataSourceFromS3Request request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.CreateDataSourceFromS3Request Container for the necessary parameters to execute the CreateDataSourceFromS3 operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginCreateEvaluation() public method

Initiates the asynchronous execution of the CreateEvaluation operation.
public BeginCreateEvaluation ( CreateEvaluationRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.CreateEvaluationRequest Container for the necessary parameters to execute the CreateEvaluation operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginCreateMLModel() public method

Initiates the asynchronous execution of the CreateMLModel operation.
public BeginCreateMLModel ( CreateMLModelRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.CreateMLModelRequest Container for the necessary parameters to execute the CreateMLModel operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginCreateRealtimeEndpoint() public method

Initiates the asynchronous execution of the CreateRealtimeEndpoint operation.
public BeginCreateRealtimeEndpoint ( Amazon.MachineLearning.Model.CreateRealtimeEndpointRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.CreateRealtimeEndpointRequest Container for the necessary parameters to execute the CreateRealtimeEndpoint operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDeleteBatchPrediction() public method

Initiates the asynchronous execution of the DeleteBatchPrediction operation.
public BeginDeleteBatchPrediction ( Amazon.MachineLearning.Model.DeleteBatchPredictionRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.DeleteBatchPredictionRequest Container for the necessary parameters to execute the DeleteBatchPrediction operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDeleteDataSource() public method

Initiates the asynchronous execution of the DeleteDataSource operation.
public BeginDeleteDataSource ( Amazon.MachineLearning.Model.DeleteDataSourceRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.DeleteDataSourceRequest Container for the necessary parameters to execute the DeleteDataSource operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDeleteEvaluation() public method

Initiates the asynchronous execution of the DeleteEvaluation operation.
public BeginDeleteEvaluation ( DeleteEvaluationRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.DeleteEvaluationRequest Container for the necessary parameters to execute the DeleteEvaluation operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDeleteMLModel() public method

Initiates the asynchronous execution of the DeleteMLModel operation.
public BeginDeleteMLModel ( Amazon.MachineLearning.Model.DeleteMLModelRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.DeleteMLModelRequest Container for the necessary parameters to execute the DeleteMLModel operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDeleteRealtimeEndpoint() public method

Initiates the asynchronous execution of the DeleteRealtimeEndpoint operation.
public BeginDeleteRealtimeEndpoint ( Amazon.MachineLearning.Model.DeleteRealtimeEndpointRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.DeleteRealtimeEndpointRequest Container for the necessary parameters to execute the DeleteRealtimeEndpoint operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDeleteTags() public method

Initiates the asynchronous execution of the DeleteTags operation.
public BeginDeleteTags ( DeleteTagsRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.DeleteTagsRequest Container for the necessary parameters to execute the DeleteTags operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDescribeBatchPredictions() public method

Initiates the asynchronous execution of the DescribeBatchPredictions operation.
public BeginDescribeBatchPredictions ( DescribeBatchPredictionsRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.DescribeBatchPredictionsRequest Container for the necessary parameters to execute the DescribeBatchPredictions operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDescribeDataSources() public method

Initiates the asynchronous execution of the DescribeDataSources operation.
public BeginDescribeDataSources ( Amazon.MachineLearning.Model.DescribeDataSourcesRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.DescribeDataSourcesRequest Container for the necessary parameters to execute the DescribeDataSources operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDescribeEvaluations() public method

Initiates the asynchronous execution of the DescribeEvaluations operation.
public BeginDescribeEvaluations ( Amazon.MachineLearning.Model.DescribeEvaluationsRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.DescribeEvaluationsRequest Container for the necessary parameters to execute the DescribeEvaluations operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDescribeMLModels() public method

Initiates the asynchronous execution of the DescribeMLModels operation.
public BeginDescribeMLModels ( DescribeMLModelsRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.DescribeMLModelsRequest Container for the necessary parameters to execute the DescribeMLModels operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginDescribeTags() public method

Initiates the asynchronous execution of the DescribeTags operation.
public BeginDescribeTags ( DescribeTagsRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.DescribeTagsRequest Container for the necessary parameters to execute the DescribeTags operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginGetBatchPrediction() public method

Initiates the asynchronous execution of the GetBatchPrediction operation.
public BeginGetBatchPrediction ( Amazon.MachineLearning.Model.GetBatchPredictionRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.GetBatchPredictionRequest Container for the necessary parameters to execute the GetBatchPrediction operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginGetDataSource() public method

Initiates the asynchronous execution of the GetDataSource operation.
public BeginGetDataSource ( Amazon.MachineLearning.Model.GetDataSourceRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.GetDataSourceRequest Container for the necessary parameters to execute the GetDataSource operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginGetEvaluation() public method

Initiates the asynchronous execution of the GetEvaluation operation.
public BeginGetEvaluation ( Amazon.MachineLearning.Model.GetEvaluationRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.GetEvaluationRequest Container for the necessary parameters to execute the GetEvaluation operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginGetMLModel() public method

Initiates the asynchronous execution of the GetMLModel operation.
public BeginGetMLModel ( GetMLModelRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.GetMLModelRequest Container for the necessary parameters to execute the GetMLModel operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginPredict() public method

Initiates the asynchronous execution of the Predict operation.
public BeginPredict ( Amazon.MachineLearning.Model.PredictRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.PredictRequest Container for the necessary parameters to execute the Predict operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginUpdateBatchPrediction() public method

Initiates the asynchronous execution of the UpdateBatchPrediction operation.
public BeginUpdateBatchPrediction ( UpdateBatchPredictionRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.UpdateBatchPredictionRequest Container for the necessary parameters to execute the UpdateBatchPrediction operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginUpdateDataSource() public method

Initiates the asynchronous execution of the UpdateDataSource operation.
public BeginUpdateDataSource ( UpdateDataSourceRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.UpdateDataSourceRequest Container for the necessary parameters to execute the UpdateDataSource operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginUpdateEvaluation() public method

Initiates the asynchronous execution of the UpdateEvaluation operation.
public BeginUpdateEvaluation ( UpdateEvaluationRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.UpdateEvaluationRequest Container for the necessary parameters to execute the UpdateEvaluation operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

BeginUpdateMLModel() public method

Initiates the asynchronous execution of the UpdateMLModel operation.
public BeginUpdateMLModel ( UpdateMLModelRequest request, AsyncCallback callback, object state ) : IAsyncResult
request Amazon.MachineLearning.Model.UpdateMLModelRequest Container for the necessary parameters to execute the UpdateMLModel operation on AmazonMachineLearningClient.
callback AsyncCallback An AsyncCallback delegate that is invoked when the operation completes.
state object A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback /// procedure using the AsyncState property.
return IAsyncResult

CreateBatchPredictionAsync() public method

Initiates the asynchronous execution of the CreateBatchPrediction operation.
public CreateBatchPredictionAsync ( CreateBatchPredictionRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.CreateBatchPredictionRequest Container for the necessary parameters to execute the CreateBatchPrediction operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

CreateDataSourceFromRDSAsync() public method

Initiates the asynchronous execution of the CreateDataSourceFromRDS operation.
public CreateDataSourceFromRDSAsync ( CreateDataSourceFromRDSRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.CreateDataSourceFromRDSRequest Container for the necessary parameters to execute the CreateDataSourceFromRDS operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

CreateDataSourceFromRedshiftAsync() public method

Initiates the asynchronous execution of the CreateDataSourceFromRedshift operation.
public CreateDataSourceFromRedshiftAsync ( CreateDataSourceFromRedshiftRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.CreateDataSourceFromRedshiftRequest Container for the necessary parameters to execute the CreateDataSourceFromRedshift operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

CreateDataSourceFromS3Async() public method

Initiates the asynchronous execution of the CreateDataSourceFromS3 operation.
public CreateDataSourceFromS3Async ( CreateDataSourceFromS3Request request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.CreateDataSourceFromS3Request Container for the necessary parameters to execute the CreateDataSourceFromS3 operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

CreateEvaluationAsync() public method

Initiates the asynchronous execution of the CreateEvaluation operation.
public CreateEvaluationAsync ( CreateEvaluationRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.CreateEvaluationRequest Container for the necessary parameters to execute the CreateEvaluation operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

CreateMLModelAsync() public method

Initiates the asynchronous execution of the CreateMLModel operation.
public CreateMLModelAsync ( CreateMLModelRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.CreateMLModelRequest Container for the necessary parameters to execute the CreateMLModel operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

CreateRealtimeEndpoint() public method

Creates a real-time endpoint for the MLModel. The endpoint contains the URI of the MLModel; that is, the location to send real-time prediction requests for the specified MLModel.
/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public CreateRealtimeEndpoint ( string mlModelId ) : CreateRealtimeEndpointResponse
mlModelId string The ID assigned to the MLModel during creation.
return Amazon.MachineLearning.Model.CreateRealtimeEndpointResponse

CreateRealtimeEndpointAsync() public method

Initiates the asynchronous execution of the CreateRealtimeEndpoint operation.
public CreateRealtimeEndpointAsync ( Amazon.MachineLearning.Model.CreateRealtimeEndpointRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.CreateRealtimeEndpointRequest Container for the necessary parameters to execute the CreateRealtimeEndpoint operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

CreateRealtimeEndpointAsync() public method

Creates a real-time endpoint for the MLModel. The endpoint contains the URI of the MLModel; that is, the location to send real-time prediction requests for the specified MLModel.
/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public CreateRealtimeEndpointAsync ( string mlModelId, System cancellationToken = default(CancellationToken) ) : Task
mlModelId string The ID assigned to the MLModel during creation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

CreateSigner() protected method

Creates the signer for the service.
protected CreateSigner ( ) : AbstractAWSSigner
return Amazon.Runtime.Internal.Auth.AbstractAWSSigner

CustomizeRuntimePipeline() protected method

Customizes the runtime pipeline.
protected CustomizeRuntimePipeline ( RuntimePipeline pipeline ) : void
pipeline RuntimePipeline Runtime pipeline for the current client.
return void

DeleteBatchPrediction() public method

Assigns the DELETED status to a BatchPrediction, rendering it unusable.

After using the DeleteBatchPrediction operation, you can use the GetBatchPrediction operation to verify that the status of the BatchPrediction changed to DELETED.

Caution: The result of the DeleteBatchPrediction operation is irreversible.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public DeleteBatchPrediction ( string batchPredictionId ) : DeleteBatchPredictionResponse
batchPredictionId string A user-supplied ID that uniquely identifies the BatchPrediction.
return Amazon.MachineLearning.Model.DeleteBatchPredictionResponse

DeleteBatchPredictionAsync() public method

Initiates the asynchronous execution of the DeleteBatchPrediction operation.
public DeleteBatchPredictionAsync ( Amazon.MachineLearning.Model.DeleteBatchPredictionRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.DeleteBatchPredictionRequest Container for the necessary parameters to execute the DeleteBatchPrediction operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteBatchPredictionAsync() public method

Assigns the DELETED status to a BatchPrediction, rendering it unusable.

After using the DeleteBatchPrediction operation, you can use the GetBatchPrediction operation to verify that the status of the BatchPrediction changed to DELETED.

Caution: The result of the DeleteBatchPrediction operation is irreversible.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public DeleteBatchPredictionAsync ( string batchPredictionId, System cancellationToken = default(CancellationToken) ) : Task
batchPredictionId string A user-supplied ID that uniquely identifies the BatchPrediction.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteDataSource() public method

Assigns the DELETED status to a DataSource, rendering it unusable.

After using the DeleteDataSource operation, you can use the GetDataSource operation to verify that the status of the DataSource changed to DELETED.

Caution: The results of the DeleteDataSource operation are irreversible.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public DeleteDataSource ( string dataSourceId ) : DeleteDataSourceResponse
dataSourceId string A user-supplied ID that uniquely identifies the DataSource.
return Amazon.MachineLearning.Model.DeleteDataSourceResponse

DeleteDataSourceAsync() public method

Initiates the asynchronous execution of the DeleteDataSource operation.
public DeleteDataSourceAsync ( Amazon.MachineLearning.Model.DeleteDataSourceRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.DeleteDataSourceRequest Container for the necessary parameters to execute the DeleteDataSource operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteDataSourceAsync() public method

Assigns the DELETED status to a DataSource, rendering it unusable.

After using the DeleteDataSource operation, you can use the GetDataSource operation to verify that the status of the DataSource changed to DELETED.

Caution: The results of the DeleteDataSource operation are irreversible.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public DeleteDataSourceAsync ( string dataSourceId, System cancellationToken = default(CancellationToken) ) : Task
dataSourceId string A user-supplied ID that uniquely identifies the DataSource.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteEvaluation() public method

Assigns the DELETED status to an Evaluation, rendering it unusable.

After invoking the DeleteEvaluation operation, you can use the GetEvaluation operation to verify that the status of the Evaluation changed to DELETED.

Caution

The results of the DeleteEvaluation operation are irreversible.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public DeleteEvaluation ( string evaluationId ) : DeleteEvaluationResponse
evaluationId string A user-supplied ID that uniquely identifies the Evaluation to delete.
return Amazon.MachineLearning.Model.DeleteEvaluationResponse

DeleteEvaluationAsync() public method

Initiates the asynchronous execution of the DeleteEvaluation operation.
public DeleteEvaluationAsync ( DeleteEvaluationRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.DeleteEvaluationRequest Container for the necessary parameters to execute the DeleteEvaluation operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteEvaluationAsync() public method

Assigns the DELETED status to an Evaluation, rendering it unusable.

After invoking the DeleteEvaluation operation, you can use the GetEvaluation operation to verify that the status of the Evaluation changed to DELETED.

Caution

The results of the DeleteEvaluation operation are irreversible.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public DeleteEvaluationAsync ( string evaluationId, System cancellationToken = default(CancellationToken) ) : Task
evaluationId string A user-supplied ID that uniquely identifies the Evaluation to delete.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteMLModel() public method

Assigns the DELETED status to an MLModel, rendering it unusable.

After using the DeleteMLModel operation, you can use the GetMLModel operation to verify that the status of the MLModel changed to DELETED.

Caution: The result of the DeleteMLModel operation is irreversible.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public DeleteMLModel ( string mlModelId ) : DeleteMLModelResponse
mlModelId string A user-supplied ID that uniquely identifies the MLModel.
return Amazon.MachineLearning.Model.DeleteMLModelResponse

DeleteMLModelAsync() public method

Initiates the asynchronous execution of the DeleteMLModel operation.
public DeleteMLModelAsync ( Amazon.MachineLearning.Model.DeleteMLModelRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.DeleteMLModelRequest Container for the necessary parameters to execute the DeleteMLModel operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteMLModelAsync() public method

Assigns the DELETED status to an MLModel, rendering it unusable.

After using the DeleteMLModel operation, you can use the GetMLModel operation to verify that the status of the MLModel changed to DELETED.

Caution: The result of the DeleteMLModel operation is irreversible.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public DeleteMLModelAsync ( string mlModelId, System cancellationToken = default(CancellationToken) ) : Task
mlModelId string A user-supplied ID that uniquely identifies the MLModel.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteRealtimeEndpoint() public method

Deletes a real time endpoint of an MLModel.
/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public DeleteRealtimeEndpoint ( string mlModelId ) : DeleteRealtimeEndpointResponse
mlModelId string The ID assigned to the MLModel during creation.
return Amazon.MachineLearning.Model.DeleteRealtimeEndpointResponse

DeleteRealtimeEndpointAsync() public method

Initiates the asynchronous execution of the DeleteRealtimeEndpoint operation.
public DeleteRealtimeEndpointAsync ( Amazon.MachineLearning.Model.DeleteRealtimeEndpointRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.DeleteRealtimeEndpointRequest Container for the necessary parameters to execute the DeleteRealtimeEndpoint operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteRealtimeEndpointAsync() public method

Deletes a real time endpoint of an MLModel.
/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public DeleteRealtimeEndpointAsync ( string mlModelId, System cancellationToken = default(CancellationToken) ) : Task
mlModelId string The ID assigned to the MLModel during creation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DeleteTagsAsync() public method

Initiates the asynchronous execution of the DeleteTags operation.
public DeleteTagsAsync ( DeleteTagsRequest request, System cancellationToken = default(CancellationToken) ) : Task
request Amazon.MachineLearning.Model.DeleteTagsRequest Container for the necessary parameters to execute the DeleteTags operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DescribeBatchPredictionsAsync() public method

Initiates the asynchronous execution of the DescribeBatchPredictions operation.
public DescribeBatchPredictionsAsync ( DescribeBatchPredictionsRequest request, System cancellationToken = default(CancellationToken) ) : Task
request DescribeBatchPredictionsRequest Container for the necessary parameters to execute the DescribeBatchPredictions operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DescribeDataSourcesAsync() public method

Initiates the asynchronous execution of the DescribeDataSources operation.
public DescribeDataSourcesAsync ( DescribeDataSourcesRequest request, System cancellationToken = default(CancellationToken) ) : Task
request DescribeDataSourcesRequest Container for the necessary parameters to execute the DescribeDataSources operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DescribeEvaluationsAsync() public method

Initiates the asynchronous execution of the DescribeEvaluations operation.
public DescribeEvaluationsAsync ( DescribeEvaluationsRequest request, System cancellationToken = default(CancellationToken) ) : Task
request DescribeEvaluationsRequest Container for the necessary parameters to execute the DescribeEvaluations operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DescribeMLModelsAsync() public method

Initiates the asynchronous execution of the DescribeMLModels operation.
public DescribeMLModelsAsync ( DescribeMLModelsRequest request, System cancellationToken = default(CancellationToken) ) : Task
request DescribeMLModelsRequest Container for the necessary parameters to execute the DescribeMLModels operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

DescribeTagsAsync() public method

Initiates the asynchronous execution of the DescribeTags operation.
public DescribeTagsAsync ( DescribeTagsRequest request, System cancellationToken = default(CancellationToken) ) : Task
request DescribeTagsRequest Container for the necessary parameters to execute the DescribeTags operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

Dispose() protected method

Disposes the service client.
protected Dispose ( bool disposing ) : void
disposing bool
return void

EndAddTags() public method

Finishes the asynchronous execution of the AddTags operation.
public EndAddTags ( IAsyncResult asyncResult ) : AddTagsResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginAddTags.
return AddTagsResponse

EndCreateBatchPrediction() public method

Finishes the asynchronous execution of the CreateBatchPrediction operation.
public EndCreateBatchPrediction ( IAsyncResult asyncResult ) : CreateBatchPredictionResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginCreateBatchPrediction.
return CreateBatchPredictionResponse

EndCreateDataSourceFromRDS() public method

Finishes the asynchronous execution of the CreateDataSourceFromRDS operation.
public EndCreateDataSourceFromRDS ( IAsyncResult asyncResult ) : CreateDataSourceFromRDSResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginCreateDataSourceFromRDS.
return CreateDataSourceFromRDSResponse

EndCreateDataSourceFromRedshift() public method

Finishes the asynchronous execution of the CreateDataSourceFromRedshift operation.
public EndCreateDataSourceFromRedshift ( IAsyncResult asyncResult ) : CreateDataSourceFromRedshiftResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginCreateDataSourceFromRedshift.
return CreateDataSourceFromRedshiftResponse

EndCreateDataSourceFromS3() public method

Finishes the asynchronous execution of the CreateDataSourceFromS3 operation.
public EndCreateDataSourceFromS3 ( IAsyncResult asyncResult ) : CreateDataSourceFromS3Response
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginCreateDataSourceFromS3.
return CreateDataSourceFromS3Response

EndCreateEvaluation() public method

Finishes the asynchronous execution of the CreateEvaluation operation.
public EndCreateEvaluation ( IAsyncResult asyncResult ) : CreateEvaluationResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginCreateEvaluation.
return CreateEvaluationResponse

EndCreateMLModel() public method

Finishes the asynchronous execution of the CreateMLModel operation.
public EndCreateMLModel ( IAsyncResult asyncResult ) : CreateMLModelResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginCreateMLModel.
return CreateMLModelResponse

EndCreateRealtimeEndpoint() public method

Finishes the asynchronous execution of the CreateRealtimeEndpoint operation.
public EndCreateRealtimeEndpoint ( IAsyncResult asyncResult ) : CreateRealtimeEndpointResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginCreateRealtimeEndpoint.
return CreateRealtimeEndpointResponse

EndDeleteBatchPrediction() public method

Finishes the asynchronous execution of the DeleteBatchPrediction operation.
public EndDeleteBatchPrediction ( IAsyncResult asyncResult ) : DeleteBatchPredictionResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDeleteBatchPrediction.
return DeleteBatchPredictionResponse

EndDeleteDataSource() public method

Finishes the asynchronous execution of the DeleteDataSource operation.
public EndDeleteDataSource ( IAsyncResult asyncResult ) : DeleteDataSourceResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDeleteDataSource.
return DeleteDataSourceResponse

EndDeleteEvaluation() public method

Finishes the asynchronous execution of the DeleteEvaluation operation.
public EndDeleteEvaluation ( IAsyncResult asyncResult ) : DeleteEvaluationResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDeleteEvaluation.
return DeleteEvaluationResponse

EndDeleteMLModel() public method

Finishes the asynchronous execution of the DeleteMLModel operation.
public EndDeleteMLModel ( IAsyncResult asyncResult ) : DeleteMLModelResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDeleteMLModel.
return DeleteMLModelResponse

EndDeleteRealtimeEndpoint() public method

Finishes the asynchronous execution of the DeleteRealtimeEndpoint operation.
public EndDeleteRealtimeEndpoint ( IAsyncResult asyncResult ) : DeleteRealtimeEndpointResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDeleteRealtimeEndpoint.
return DeleteRealtimeEndpointResponse

EndDeleteTags() public method

Finishes the asynchronous execution of the DeleteTags operation.
public EndDeleteTags ( IAsyncResult asyncResult ) : DeleteTagsResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDeleteTags.
return DeleteTagsResponse

EndDescribeBatchPredictions() public method

Finishes the asynchronous execution of the DescribeBatchPredictions operation.
public EndDescribeBatchPredictions ( IAsyncResult asyncResult ) : DescribeBatchPredictionsResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDescribeBatchPredictions.
return DescribeBatchPredictionsResponse

EndDescribeDataSources() public method

Finishes the asynchronous execution of the DescribeDataSources operation.
public EndDescribeDataSources ( IAsyncResult asyncResult ) : DescribeDataSourcesResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDescribeDataSources.
return DescribeDataSourcesResponse

EndDescribeEvaluations() public method

Finishes the asynchronous execution of the DescribeEvaluations operation.
public EndDescribeEvaluations ( IAsyncResult asyncResult ) : DescribeEvaluationsResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDescribeEvaluations.
return DescribeEvaluationsResponse

EndDescribeMLModels() public method

Finishes the asynchronous execution of the DescribeMLModels operation.
public EndDescribeMLModels ( IAsyncResult asyncResult ) : DescribeMLModelsResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDescribeMLModels.
return DescribeMLModelsResponse

EndDescribeTags() public method

Finishes the asynchronous execution of the DescribeTags operation.
public EndDescribeTags ( IAsyncResult asyncResult ) : DescribeTagsResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginDescribeTags.
return DescribeTagsResponse

EndGetBatchPrediction() public method

Finishes the asynchronous execution of the GetBatchPrediction operation.
public EndGetBatchPrediction ( IAsyncResult asyncResult ) : GetBatchPredictionResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginGetBatchPrediction.
return GetBatchPredictionResponse

EndGetDataSource() public method

Finishes the asynchronous execution of the GetDataSource operation.
public EndGetDataSource ( IAsyncResult asyncResult ) : GetDataSourceResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginGetDataSource.
return GetDataSourceResponse

EndGetEvaluation() public method

Finishes the asynchronous execution of the GetEvaluation operation.
public EndGetEvaluation ( IAsyncResult asyncResult ) : GetEvaluationResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginGetEvaluation.
return GetEvaluationResponse

EndGetMLModel() public method

Finishes the asynchronous execution of the GetMLModel operation.
public EndGetMLModel ( IAsyncResult asyncResult ) : GetMLModelResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginGetMLModel.
return GetMLModelResponse

EndPredict() public method

Finishes the asynchronous execution of the Predict operation.
public EndPredict ( IAsyncResult asyncResult ) : PredictResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginPredict.
return PredictResponse

EndUpdateBatchPrediction() public method

Finishes the asynchronous execution of the UpdateBatchPrediction operation.
public EndUpdateBatchPrediction ( IAsyncResult asyncResult ) : UpdateBatchPredictionResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginUpdateBatchPrediction.
return UpdateBatchPredictionResponse

EndUpdateDataSource() public method

Finishes the asynchronous execution of the UpdateDataSource operation.
public EndUpdateDataSource ( IAsyncResult asyncResult ) : UpdateDataSourceResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginUpdateDataSource.
return UpdateDataSourceResponse

EndUpdateEvaluation() public method

Finishes the asynchronous execution of the UpdateEvaluation operation.
public EndUpdateEvaluation ( IAsyncResult asyncResult ) : UpdateEvaluationResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginUpdateEvaluation.
return UpdateEvaluationResponse

EndUpdateMLModel() public method

Finishes the asynchronous execution of the UpdateMLModel operation.
public EndUpdateMLModel ( IAsyncResult asyncResult ) : UpdateMLModelResponse
asyncResult IAsyncResult The IAsyncResult returned by the call to BeginUpdateMLModel.
return UpdateMLModelResponse

GetBatchPrediction() public method

Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetBatchPrediction ( string batchPredictionId ) : GetBatchPredictionResponse
batchPredictionId string An ID assigned to the BatchPrediction at creation.
return GetBatchPredictionResponse

GetBatchPredictionAsync() public method

Initiates the asynchronous execution of the GetBatchPrediction operation.
public GetBatchPredictionAsync ( GetBatchPredictionRequest request, System cancellationToken = default(CancellationToken) ) : Task
request GetBatchPredictionRequest Container for the necessary parameters to execute the GetBatchPrediction operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

GetBatchPredictionAsync() public method

Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetBatchPredictionAsync ( string batchPredictionId, System cancellationToken = default(CancellationToken) ) : Task
batchPredictionId string An ID assigned to the BatchPrediction at creation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

GetDataSource() public method

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

GetDataSource provides results in normal or verbose format. The verbose format adds the schema description and the list of files pointed to by the DataSource to the normal format.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetDataSource ( string dataSourceId ) : GetDataSourceResponse
dataSourceId string The ID assigned to the DataSource at creation.
return GetDataSourceResponse

GetDataSource() public method

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

GetDataSource provides results in normal or verbose format. The verbose format adds the schema description and the list of files pointed to by the DataSource to the normal format.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetDataSource ( string dataSourceId, bool verbose ) : GetDataSourceResponse
dataSourceId string The ID assigned to the DataSource at creation.
verbose bool Specifies whether the GetDataSource operation should return DataSourceSchema. If true, DataSourceSchema is returned. If false, DataSourceSchema is not returned.
return GetDataSourceResponse

GetDataSourceAsync() public method

Initiates the asynchronous execution of the GetDataSource operation.
public GetDataSourceAsync ( GetDataSourceRequest request, System cancellationToken = default(CancellationToken) ) : Task
request GetDataSourceRequest Container for the necessary parameters to execute the GetDataSource operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

GetDataSourceAsync() public method

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

GetDataSource provides results in normal or verbose format. The verbose format adds the schema description and the list of files pointed to by the DataSource to the normal format.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetDataSourceAsync ( string dataSourceId, System cancellationToken = default(CancellationToken) ) : Task
dataSourceId string The ID assigned to the DataSource at creation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

GetDataSourceAsync() public method

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

GetDataSource provides results in normal or verbose format. The verbose format adds the schema description and the list of files pointed to by the DataSource to the normal format.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetDataSourceAsync ( string dataSourceId, bool verbose, System cancellationToken = default(CancellationToken) ) : Task
dataSourceId string The ID assigned to the DataSource at creation.
verbose bool Specifies whether the GetDataSource operation should return DataSourceSchema. If true, DataSourceSchema is returned. If false, DataSourceSchema is not returned.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

GetEvaluation() public method

Returns an Evaluation that includes metadata as well as the current status of the Evaluation.
/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetEvaluation ( string evaluationId ) : GetEvaluationResponse
evaluationId string The ID of the Evaluation to retrieve. The evaluation of each MLModel is recorded and cataloged. The ID provides the means to access the information.
return GetEvaluationResponse

GetEvaluationAsync() public method

Initiates the asynchronous execution of the GetEvaluation operation.
public GetEvaluationAsync ( GetEvaluationRequest request, System cancellationToken = default(CancellationToken) ) : Task
request GetEvaluationRequest Container for the necessary parameters to execute the GetEvaluation operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

GetEvaluationAsync() public method

Returns an Evaluation that includes metadata as well as the current status of the Evaluation.
/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetEvaluationAsync ( string evaluationId, System cancellationToken = default(CancellationToken) ) : Task
evaluationId string The ID of the Evaluation to retrieve. The evaluation of each MLModel is recorded and cataloged. The ID provides the means to access the information.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

GetMLModel() public method

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

GetMLModel provides results in normal or verbose format.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetMLModel ( string mlModelId ) : GetMLModelResponse
mlModelId string The ID assigned to the MLModel at creation.
return GetMLModelResponse

GetMLModel() public method

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

GetMLModel provides results in normal or verbose format.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetMLModel ( string mlModelId, bool verbose ) : GetMLModelResponse
mlModelId string The ID assigned to the MLModel at creation.
verbose bool Specifies whether the GetMLModel operation should return Recipe. If true, Recipe is returned. If false, Recipe is not returned.
return GetMLModelResponse

GetMLModelAsync() public method

Initiates the asynchronous execution of the GetMLModel operation.
public GetMLModelAsync ( GetMLModelRequest request, System cancellationToken = default(CancellationToken) ) : Task
request GetMLModelRequest Container for the necessary parameters to execute the GetMLModel operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

GetMLModelAsync() public method

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

GetMLModel provides results in normal or verbose format.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetMLModelAsync ( string mlModelId, System cancellationToken = default(CancellationToken) ) : Task
mlModelId string The ID assigned to the MLModel at creation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

GetMLModelAsync() public method

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

GetMLModel provides results in normal or verbose format.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public GetMLModelAsync ( string mlModelId, bool verbose, System cancellationToken = default(CancellationToken) ) : Task
mlModelId string The ID assigned to the MLModel at creation.
verbose bool Specifies whether the GetMLModel operation should return Recipe. If true, Recipe is returned. If false, Recipe is not returned.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

Predict() public method

Generates a prediction for the observation using the specified ML Model. Note

Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// The subscriber exceeded the maximum number of operations. This exception can occur /// when listing objects such as DataSource. /// /// The exception is thrown when a predict request is made to an unmounted MLModel. /// /// A specified resource cannot be located. ///
public Predict ( string mlModelId, string predictEndpoint, string>.Dictionary record ) : PredictResponse
mlModelId string A unique identifier of the MLModel.
predictEndpoint string A property of PredictRequest used to execute the Predict service method.
record string>.Dictionary A property of PredictRequest used to execute the Predict service method.
return PredictResponse

PredictAsync() public method

Initiates the asynchronous execution of the Predict operation.
public PredictAsync ( PredictRequest request, System cancellationToken = default(CancellationToken) ) : Task
request PredictRequest Container for the necessary parameters to execute the Predict operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

PredictAsync() public method

Generates a prediction for the observation using the specified ML Model. Note

Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// The subscriber exceeded the maximum number of operations. This exception can occur /// when listing objects such as DataSource. /// /// The exception is thrown when a predict request is made to an unmounted MLModel. /// /// A specified resource cannot be located. ///
public PredictAsync ( string mlModelId, string predictEndpoint, string>.Dictionary record, System cancellationToken = default(CancellationToken) ) : Task
mlModelId string A unique identifier of the MLModel.
predictEndpoint string A property of PredictRequest used to execute the Predict service method.
record string>.Dictionary A property of PredictRequest used to execute the Predict service method.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateBatchPrediction() public method

Updates the BatchPredictionName of a BatchPrediction.

You can use the GetBatchPrediction operation to view the contents of the updated data element.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public UpdateBatchPrediction ( string batchPredictionId, string batchPredictionName ) : UpdateBatchPredictionResponse
batchPredictionId string The ID assigned to the BatchPrediction during creation.
batchPredictionName string A new user-supplied name or description of the BatchPrediction.
return UpdateBatchPredictionResponse

UpdateBatchPredictionAsync() public method

Initiates the asynchronous execution of the UpdateBatchPrediction operation.
public UpdateBatchPredictionAsync ( UpdateBatchPredictionRequest request, System cancellationToken = default(CancellationToken) ) : Task
request UpdateBatchPredictionRequest Container for the necessary parameters to execute the UpdateBatchPrediction operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateBatchPredictionAsync() public method

Updates the BatchPredictionName of a BatchPrediction.

You can use the GetBatchPrediction operation to view the contents of the updated data element.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public UpdateBatchPredictionAsync ( string batchPredictionId, string batchPredictionName, System cancellationToken = default(CancellationToken) ) : Task
batchPredictionId string The ID assigned to the BatchPrediction during creation.
batchPredictionName string A new user-supplied name or description of the BatchPrediction.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateDataSource() public method

Updates the DataSourceName of a DataSource.

You can use the GetDataSource operation to view the contents of the updated data element.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public UpdateDataSource ( string dataSourceId, string dataSourceName ) : UpdateDataSourceResponse
dataSourceId string The ID assigned to the DataSource during creation.
dataSourceName string A new user-supplied name or description of the DataSource that will replace the current description.
return UpdateDataSourceResponse

UpdateDataSourceAsync() public method

Initiates the asynchronous execution of the UpdateDataSource operation.
public UpdateDataSourceAsync ( UpdateDataSourceRequest request, System cancellationToken = default(CancellationToken) ) : Task
request UpdateDataSourceRequest Container for the necessary parameters to execute the UpdateDataSource operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateDataSourceAsync() public method

Updates the DataSourceName of a DataSource.

You can use the GetDataSource operation to view the contents of the updated data element.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public UpdateDataSourceAsync ( string dataSourceId, string dataSourceName, System cancellationToken = default(CancellationToken) ) : Task
dataSourceId string The ID assigned to the DataSource during creation.
dataSourceName string A new user-supplied name or description of the DataSource that will replace the current description.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateEvaluation() public method

Updates the EvaluationName of an Evaluation.

You can use the GetEvaluation operation to view the contents of the updated data element.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public UpdateEvaluation ( string evaluationId, string evaluationName ) : UpdateEvaluationResponse
evaluationId string The ID assigned to the Evaluation during creation.
evaluationName string A new user-supplied name or description of the Evaluation that will replace the current content.
return UpdateEvaluationResponse

UpdateEvaluationAsync() public method

Initiates the asynchronous execution of the UpdateEvaluation operation.
public UpdateEvaluationAsync ( UpdateEvaluationRequest request, System cancellationToken = default(CancellationToken) ) : Task
request UpdateEvaluationRequest Container for the necessary parameters to execute the UpdateEvaluation operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateEvaluationAsync() public method

Updates the EvaluationName of an Evaluation.

You can use the GetEvaluation operation to view the contents of the updated data element.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public UpdateEvaluationAsync ( string evaluationId, string evaluationName, System cancellationToken = default(CancellationToken) ) : Task
evaluationId string The ID assigned to the Evaluation during creation.
evaluationName string A new user-supplied name or description of the Evaluation that will replace the current content.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateMLModel() public method

Updates the MLModelName and the ScoreThreshold of an MLModel.

You can use the GetMLModel operation to view the contents of the updated data element.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public UpdateMLModel ( string mlModelId, string mlModelName, float scoreThreshold ) : UpdateMLModelResponse
mlModelId string The ID assigned to the MLModel during creation.
mlModelName string A user-supplied name or description of the MLModel.
scoreThreshold float The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction. Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.
return UpdateMLModelResponse

UpdateMLModelAsync() public method

Initiates the asynchronous execution of the UpdateMLModel operation.
public UpdateMLModelAsync ( UpdateMLModelRequest request, System cancellationToken = default(CancellationToken) ) : Task
request UpdateMLModelRequest Container for the necessary parameters to execute the UpdateMLModel operation.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task

UpdateMLModelAsync() public method

Updates the MLModelName and the ScoreThreshold of an MLModel.

You can use the GetMLModel operation to view the contents of the updated data element.

/// An error on the server occurred when trying to process a request. /// /// An error on the client occurred. Typically, the cause is an invalid input value. /// /// A specified resource cannot be located. ///
public UpdateMLModelAsync ( string mlModelId, string mlModelName, float scoreThreshold, System cancellationToken = default(CancellationToken) ) : Task
mlModelId string The ID assigned to the MLModel during creation.
mlModelName string A user-supplied name or description of the MLModel.
scoreThreshold float The ScoreThreshold used in binary classification MLModel that marks the boundary between a positive prediction and a negative prediction. Output values greater than or equal to the ScoreThreshold receive a positive result from the MLModel, such as true. Output values less than the ScoreThreshold receive a negative response from the MLModel, such as false.
cancellationToken System /// A cancellation token that can be used by other objects or threads to receive notice of cancellation. ///
return Task