C# 클래스 Amazon.MachineLearning.AmazonMachineLearningClient

Implementation for accessing MachineLearning Definition of the public APIs exposed by Amazon Machine Learning

상속: AmazonServiceClient, IAmazonMachineLearning

공개 메소드들

메소드	설명
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.

보호된 메소드들

메소드	설명
CreateSigner ( ) : AbstractAWSSigner	Creates the signer for the service.
CustomizeRuntimePipeline ( RuntimePipeline pipeline ) : void	Customizes the runtime pipeline.
Dispose ( bool disposing ) : void	Disposes the service client.

비공개 메소드들

메소드	설명
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

메소드 상세

AddTagsAsync() 공개 메소드

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. ///
리턴	Task

AmazonMachineLearningClient() 공개 메소드

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
리턴	System

AmazonMachineLearningClient() 공개 메소드

Constructs AmazonMachineLearningClient with AWS Credentials

public AmazonMachineLearningClient ( AWSCredentials credentials ) : System
credentials	Amazon.Runtime.AWSCredentials	AWS Credentials
리턴	System

AmazonMachineLearningClient() 공개 메소드

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
리턴	System

AmazonMachineLearningClient() 공개 메소드

Constructs AmazonMachineLearningClient with AWS Credentials

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

AmazonMachineLearningClient() 공개 메소드

 <?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
리턴	System

AmazonMachineLearningClient() 공개 메소드

 <?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.
리턴	System

AmazonMachineLearningClient() 공개 메소드

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
리턴	System

AmazonMachineLearningClient() 공개 메소드

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
리턴	System

AmazonMachineLearningClient() 공개 메소드

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.
리턴	System

AmazonMachineLearningClient() 공개 메소드

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
리턴	System

AmazonMachineLearningClient() 공개 메소드

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
리턴	System

AmazonMachineLearningClient() 공개 메소드

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.
리턴	System

BeginAddTags() 공개 메소드

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.
리턴	IAsyncResult

BeginCreateBatchPrediction() 공개 메소드

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.
리턴	IAsyncResult

BeginCreateDataSourceFromRDS() 공개 메소드

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.
리턴	IAsyncResult

BeginCreateDataSourceFromRedshift() 공개 메소드

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.
리턴	IAsyncResult

BeginCreateDataSourceFromS3() 공개 메소드

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.
리턴	IAsyncResult

BeginCreateEvaluation() 공개 메소드

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.
리턴	IAsyncResult

BeginCreateMLModel() 공개 메소드

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.
리턴	IAsyncResult

BeginCreateRealtimeEndpoint() 공개 메소드

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.
리턴	IAsyncResult

BeginDeleteBatchPrediction() 공개 메소드

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.
리턴	IAsyncResult

BeginDeleteDataSource() 공개 메소드

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.
리턴	IAsyncResult

BeginDeleteEvaluation() 공개 메소드

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.
리턴	IAsyncResult

BeginDeleteMLModel() 공개 메소드

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.
리턴	IAsyncResult

BeginDeleteRealtimeEndpoint() 공개 메소드

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.
리턴	IAsyncResult

BeginDeleteTags() 공개 메소드

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.
리턴	IAsyncResult

BeginDescribeBatchPredictions() 공개 메소드

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.
리턴	IAsyncResult

BeginDescribeDataSources() 공개 메소드

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.
리턴	IAsyncResult

BeginDescribeEvaluations() 공개 메소드

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.
리턴	IAsyncResult

BeginDescribeMLModels() 공개 메소드

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.
리턴	IAsyncResult

BeginDescribeTags() 공개 메소드

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.
리턴	IAsyncResult

BeginGetBatchPrediction() 공개 메소드

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.
리턴	IAsyncResult

BeginGetDataSource() 공개 메소드

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.
리턴	IAsyncResult

BeginGetEvaluation() 공개 메소드

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.
리턴	IAsyncResult

BeginGetMLModel() 공개 메소드

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.
리턴	IAsyncResult

BeginPredict() 공개 메소드

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.
리턴	IAsyncResult

BeginUpdateBatchPrediction() 공개 메소드

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.
리턴	IAsyncResult

BeginUpdateDataSource() 공개 메소드

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.
리턴	IAsyncResult

BeginUpdateEvaluation() 공개 메소드

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.
리턴	IAsyncResult

BeginUpdateMLModel() 공개 메소드

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.
리턴	IAsyncResult

CreateBatchPredictionAsync() 공개 메소드

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. ///
리턴	Task

CreateDataSourceFromRDSAsync() 공개 메소드

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. ///
리턴	Task

CreateDataSourceFromRedshiftAsync() 공개 메소드

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. ///
리턴	Task

CreateDataSourceFromS3Async() 공개 메소드

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. ///
리턴	Task

CreateEvaluationAsync() 공개 메소드

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. ///
리턴	Task

CreateMLModelAsync() 공개 메소드

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. ///
리턴	Task

CreateRealtimeEndpoint() 공개 메소드

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.
리턴	Amazon.MachineLearning.Model.CreateRealtimeEndpointResponse

CreateRealtimeEndpointAsync() 공개 메소드

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. ///
리턴	Task

CreateRealtimeEndpointAsync() 공개 메소드

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.

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. ///
리턴	Task

CreateSigner() 보호된 메소드

Creates the signer for the service.

protected CreateSigner ( ) : AbstractAWSSigner
리턴	Amazon.Runtime.Internal.Auth.AbstractAWSSigner

CustomizeRuntimePipeline() 보호된 메소드

Customizes the runtime pipeline.

protected CustomizeRuntimePipeline ( RuntimePipeline pipeline ) : void
pipeline	RuntimePipeline	Runtime pipeline for the current client.
리턴	void

DeleteBatchPrediction() 공개 메소드

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.

public DeleteBatchPrediction ( string batchPredictionId ) : DeleteBatchPredictionResponse
batchPredictionId	string	A user-supplied ID that uniquely identifies the `BatchPrediction`.
리턴	Amazon.MachineLearning.Model.DeleteBatchPredictionResponse

DeleteBatchPredictionAsync() 공개 메소드

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. ///
리턴	Task

DeleteBatchPredictionAsync() 공개 메소드

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.

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. ///
리턴	Task

DeleteDataSource() 공개 메소드

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.

public DeleteDataSource ( string dataSourceId ) : DeleteDataSourceResponse
dataSourceId	string	A user-supplied ID that uniquely identifies the `DataSource`.
리턴	Amazon.MachineLearning.Model.DeleteDataSourceResponse

DeleteDataSourceAsync() 공개 메소드

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. ///
리턴	Task

DeleteDataSourceAsync() 공개 메소드

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.

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. ///
리턴	Task

DeleteEvaluation() 공개 메소드

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.

public DeleteEvaluation ( string evaluationId ) : DeleteEvaluationResponse
evaluationId	string	A user-supplied ID that uniquely identifies the `Evaluation` to delete.
리턴	Amazon.MachineLearning.Model.DeleteEvaluationResponse

DeleteEvaluationAsync() 공개 메소드

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. ///
리턴	Task

DeleteEvaluationAsync() 공개 메소드

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.

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. ///
리턴	Task

DeleteMLModel() 공개 메소드

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.

public DeleteMLModel ( string mlModelId ) : DeleteMLModelResponse
mlModelId	string	A user-supplied ID that uniquely identifies the `MLModel`.
리턴	Amazon.MachineLearning.Model.DeleteMLModelResponse

DeleteMLModelAsync() 공개 메소드

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. ///
리턴	Task

DeleteMLModelAsync() 공개 메소드

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.

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. ///
리턴	Task

DeleteRealtimeEndpoint() 공개 메소드

Deletes a real time endpoint of an MLModel.

public DeleteRealtimeEndpoint ( string mlModelId ) : DeleteRealtimeEndpointResponse
mlModelId	string	The ID assigned to the `MLModel` during creation.
리턴	Amazon.MachineLearning.Model.DeleteRealtimeEndpointResponse

DeleteRealtimeEndpointAsync() 공개 메소드

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. ///
리턴	Task

DeleteRealtimeEndpointAsync() 공개 메소드

Deletes a real time endpoint of an MLModel.

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. ///
리턴	Task

DeleteTagsAsync() 공개 메소드

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. ///
리턴	Task

DescribeBatchPredictionsAsync() 공개 메소드

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. ///
리턴	Task

DescribeDataSourcesAsync() 공개 메소드

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. ///
리턴	Task

DescribeEvaluationsAsync() 공개 메소드

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. ///
리턴	Task

DescribeMLModelsAsync() 공개 메소드

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. ///
리턴	Task

DescribeTagsAsync() 공개 메소드

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. ///
리턴	Task

Dispose() 보호된 메소드

Disposes the service client.

protected Dispose ( bool disposing ) : void
disposing	bool
리턴	void

EndAddTags() 공개 메소드

Finishes the asynchronous execution of the AddTags operation.

public EndAddTags ( IAsyncResult asyncResult ) : AddTagsResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginAddTags.
리턴	AddTagsResponse

EndCreateBatchPrediction() 공개 메소드

Finishes the asynchronous execution of the CreateBatchPrediction operation.

public EndCreateBatchPrediction ( IAsyncResult asyncResult ) : CreateBatchPredictionResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginCreateBatchPrediction.
리턴	CreateBatchPredictionResponse

EndCreateDataSourceFromRDS() 공개 메소드

Finishes the asynchronous execution of the CreateDataSourceFromRDS operation.

public EndCreateDataSourceFromRDS ( IAsyncResult asyncResult ) : CreateDataSourceFromRDSResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginCreateDataSourceFromRDS.
리턴	CreateDataSourceFromRDSResponse

EndCreateDataSourceFromRedshift() 공개 메소드

Finishes the asynchronous execution of the CreateDataSourceFromRedshift operation.

public EndCreateDataSourceFromRedshift ( IAsyncResult asyncResult ) : CreateDataSourceFromRedshiftResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginCreateDataSourceFromRedshift.
리턴	CreateDataSourceFromRedshiftResponse

EndCreateDataSourceFromS3() 공개 메소드

Finishes the asynchronous execution of the CreateDataSourceFromS3 operation.

public EndCreateDataSourceFromS3 ( IAsyncResult asyncResult ) : CreateDataSourceFromS3Response
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginCreateDataSourceFromS3.
리턴	CreateDataSourceFromS3Response

EndCreateEvaluation() 공개 메소드

Finishes the asynchronous execution of the CreateEvaluation operation.

public EndCreateEvaluation ( IAsyncResult asyncResult ) : CreateEvaluationResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginCreateEvaluation.
리턴	CreateEvaluationResponse

EndCreateMLModel() 공개 메소드

Finishes the asynchronous execution of the CreateMLModel operation.

public EndCreateMLModel ( IAsyncResult asyncResult ) : CreateMLModelResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginCreateMLModel.
리턴	CreateMLModelResponse

EndCreateRealtimeEndpoint() 공개 메소드

Finishes the asynchronous execution of the CreateRealtimeEndpoint operation.

public EndCreateRealtimeEndpoint ( IAsyncResult asyncResult ) : CreateRealtimeEndpointResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginCreateRealtimeEndpoint.
리턴	CreateRealtimeEndpointResponse

EndDeleteBatchPrediction() 공개 메소드

Finishes the asynchronous execution of the DeleteBatchPrediction operation.

public EndDeleteBatchPrediction ( IAsyncResult asyncResult ) : DeleteBatchPredictionResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginDeleteBatchPrediction.
리턴	DeleteBatchPredictionResponse

EndDeleteDataSource() 공개 메소드

Finishes the asynchronous execution of the DeleteDataSource operation.

public EndDeleteDataSource ( IAsyncResult asyncResult ) : DeleteDataSourceResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginDeleteDataSource.
리턴	DeleteDataSourceResponse

EndDeleteEvaluation() 공개 메소드

Finishes the asynchronous execution of the DeleteEvaluation operation.

public EndDeleteEvaluation ( IAsyncResult asyncResult ) : DeleteEvaluationResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginDeleteEvaluation.
리턴	DeleteEvaluationResponse

EndDeleteMLModel() 공개 메소드

Finishes the asynchronous execution of the DeleteMLModel operation.

public EndDeleteMLModel ( IAsyncResult asyncResult ) : DeleteMLModelResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginDeleteMLModel.
리턴	DeleteMLModelResponse

EndDeleteRealtimeEndpoint() 공개 메소드

Finishes the asynchronous execution of the DeleteRealtimeEndpoint operation.

public EndDeleteRealtimeEndpoint ( IAsyncResult asyncResult ) : DeleteRealtimeEndpointResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginDeleteRealtimeEndpoint.
리턴	DeleteRealtimeEndpointResponse

EndDeleteTags() 공개 메소드

Finishes the asynchronous execution of the DeleteTags operation.

public EndDeleteTags ( IAsyncResult asyncResult ) : DeleteTagsResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginDeleteTags.
리턴	DeleteTagsResponse

EndDescribeBatchPredictions() 공개 메소드

Finishes the asynchronous execution of the DescribeBatchPredictions operation.

public EndDescribeBatchPredictions ( IAsyncResult asyncResult ) : DescribeBatchPredictionsResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginDescribeBatchPredictions.
리턴	DescribeBatchPredictionsResponse

EndDescribeDataSources() 공개 메소드

Finishes the asynchronous execution of the DescribeDataSources operation.

public EndDescribeDataSources ( IAsyncResult asyncResult ) : DescribeDataSourcesResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginDescribeDataSources.
리턴	DescribeDataSourcesResponse

EndDescribeEvaluations() 공개 메소드

Finishes the asynchronous execution of the DescribeEvaluations operation.

public EndDescribeEvaluations ( IAsyncResult asyncResult ) : DescribeEvaluationsResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginDescribeEvaluations.
리턴	DescribeEvaluationsResponse

EndDescribeMLModels() 공개 메소드

Finishes the asynchronous execution of the DescribeMLModels operation.

public EndDescribeMLModels ( IAsyncResult asyncResult ) : DescribeMLModelsResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginDescribeMLModels.
리턴	DescribeMLModelsResponse

EndDescribeTags() 공개 메소드

Finishes the asynchronous execution of the DescribeTags operation.

public EndDescribeTags ( IAsyncResult asyncResult ) : DescribeTagsResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginDescribeTags.
리턴	DescribeTagsResponse

EndGetBatchPrediction() 공개 메소드

Finishes the asynchronous execution of the GetBatchPrediction operation.

public EndGetBatchPrediction ( IAsyncResult asyncResult ) : GetBatchPredictionResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginGetBatchPrediction.
리턴	GetBatchPredictionResponse

EndGetDataSource() 공개 메소드

Finishes the asynchronous execution of the GetDataSource operation.

public EndGetDataSource ( IAsyncResult asyncResult ) : GetDataSourceResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginGetDataSource.
리턴	GetDataSourceResponse

EndGetEvaluation() 공개 메소드

Finishes the asynchronous execution of the GetEvaluation operation.

public EndGetEvaluation ( IAsyncResult asyncResult ) : GetEvaluationResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginGetEvaluation.
리턴	GetEvaluationResponse

EndGetMLModel() 공개 메소드

Finishes the asynchronous execution of the GetMLModel operation.

public EndGetMLModel ( IAsyncResult asyncResult ) : GetMLModelResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginGetMLModel.
리턴	GetMLModelResponse

EndPredict() 공개 메소드

Finishes the asynchronous execution of the Predict operation.

public EndPredict ( IAsyncResult asyncResult ) : PredictResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginPredict.
리턴	PredictResponse

EndUpdateBatchPrediction() 공개 메소드

Finishes the asynchronous execution of the UpdateBatchPrediction operation.

public EndUpdateBatchPrediction ( IAsyncResult asyncResult ) : UpdateBatchPredictionResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginUpdateBatchPrediction.
리턴	UpdateBatchPredictionResponse

EndUpdateDataSource() 공개 메소드

Finishes the asynchronous execution of the UpdateDataSource operation.

public EndUpdateDataSource ( IAsyncResult asyncResult ) : UpdateDataSourceResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginUpdateDataSource.
리턴	UpdateDataSourceResponse

EndUpdateEvaluation() 공개 메소드

Finishes the asynchronous execution of the UpdateEvaluation operation.

public EndUpdateEvaluation ( IAsyncResult asyncResult ) : UpdateEvaluationResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginUpdateEvaluation.
리턴	UpdateEvaluationResponse

EndUpdateMLModel() 공개 메소드

Finishes the asynchronous execution of the UpdateMLModel operation.

public EndUpdateMLModel ( IAsyncResult asyncResult ) : UpdateMLModelResponse
asyncResult	IAsyncResult	The IAsyncResult returned by the call to BeginUpdateMLModel.
리턴	UpdateMLModelResponse

GetBatchPrediction() 공개 메소드

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

public GetBatchPrediction ( string batchPredictionId ) : GetBatchPredictionResponse
batchPredictionId	string	An ID assigned to the `BatchPrediction` at creation.
리턴	GetBatchPredictionResponse

GetBatchPredictionAsync() 공개 메소드

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. ///
리턴	Task

GetBatchPredictionAsync() 공개 메소드

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

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. ///
리턴	Task

GetDataSource() 공개 메소드

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.

public GetDataSource ( string dataSourceId ) : GetDataSourceResponse
dataSourceId	string	The ID assigned to the `DataSource` at creation.
리턴	GetDataSourceResponse

GetDataSource() 공개 메소드

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.

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.
리턴	GetDataSourceResponse

GetDataSourceAsync() 공개 메소드

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. ///
리턴	Task

GetDataSourceAsync() 공개 메소드

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.

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. ///
리턴	Task

GetDataSourceAsync() 공개 메소드

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.

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. ///
리턴	Task

GetEvaluation() 공개 메소드

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

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.
리턴	GetEvaluationResponse

GetEvaluationAsync() 공개 메소드

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. ///
리턴	Task

GetEvaluationAsync() 공개 메소드

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

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. ///
리턴	Task

GetMLModel() 공개 메소드

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.

public GetMLModel ( string mlModelId ) : GetMLModelResponse
mlModelId	string	The ID assigned to the `MLModel` at creation.
리턴	GetMLModelResponse

GetMLModel() 공개 메소드

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.

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.
리턴	GetMLModelResponse

GetMLModelAsync() 공개 메소드

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. ///
리턴	Task

GetMLModelAsync() 공개 메소드

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.

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. ///
리턴	Task

GetMLModelAsync() 공개 메소드

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.

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. ///
리턴	Task

Predict() 공개 메소드

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.
리턴	PredictResponse

PredictAsync() 공개 메소드

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. ///
리턴	Task

PredictAsync() 공개 메소드

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.

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. ///
리턴	Task

UpdateBatchPrediction() 공개 메소드

Updates the BatchPredictionName of a BatchPrediction.

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

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`.
리턴	UpdateBatchPredictionResponse

UpdateBatchPredictionAsync() 공개 메소드

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. ///
리턴	Task

UpdateBatchPredictionAsync() 공개 메소드

Updates the BatchPredictionName of a BatchPrediction.

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

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. ///
리턴	Task

UpdateDataSource() 공개 메소드

Updates the DataSourceName of a DataSource.

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

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.
리턴	UpdateDataSourceResponse

UpdateDataSourceAsync() 공개 메소드

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. ///
리턴	Task

UpdateDataSourceAsync() 공개 메소드

Updates the DataSourceName of a DataSource.

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

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. ///
리턴	Task

UpdateEvaluation() 공개 메소드

Updates the EvaluationName of an Evaluation.

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

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.
리턴	UpdateEvaluationResponse

UpdateEvaluationAsync() 공개 메소드

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. ///
리턴	Task

UpdateEvaluationAsync() 공개 메소드

Updates the EvaluationName of an Evaluation.

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

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. ///
리턴	Task

UpdateMLModel() 공개 메소드

Updates the MLModelName and the ScoreThreshold of an MLModel.

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

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`.
리턴	UpdateMLModelResponse

UpdateMLModelAsync() 공개 메소드

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. ///
리턴	Task

UpdateMLModelAsync() 공개 메소드

Updates the MLModelName and the ScoreThreshold of an MLModel.

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

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. ///
리턴	Task