AmazonMachineLearningAsyncClient (AWS SDK For Java for OSGi 1.10.7 API)

java.lang.Object
- com.amazonaws.AmazonWebServiceClient
- - com.amazonaws.services.machinelearning.AmazonMachineLearningClient
  - - com.amazonaws.services.machinelearning.AmazonMachineLearningAsyncClient

All Implemented Interfaces:

AmazonMachineLearning, AmazonMachineLearningAsync
```
public class AmazonMachineLearningAsyncClient
extends AmazonMachineLearningClient
implements AmazonMachineLearningAsync
```
Asynchronous client for accessing AmazonMachineLearning. All asynchronous calls made using this client are non-blocking. Callers could either process the result and handle the exceptions in the worker thread by providing a callback handler when making the call, or use the returned Future object to check the result of the call in the calling thread.
Definition of the public APIs exposed by Amazon Machine Learning

Field Summary
- Fields inherited from class com.amazonaws.services.machinelearning.AmazonMachineLearningClient
  jsonErrorUnmarshallers
- Fields inherited from class com.amazonaws.AmazonWebServiceClient
  client, clientConfiguration, endpoint, LOGGING_AWS_REQUEST_METRIC, requestHandler2s, timeOffset

Constructor Summary

Constructors
Constructor and Description
`AmazonMachineLearningAsyncClient()` Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning.
`AmazonMachineLearningAsyncClient(AWSCredentials awsCredentials)` Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials.
`AmazonMachineLearningAsyncClient(AWSCredentials awsCredentials, ClientConfiguration clientConfiguration, ExecutorService executorService)` Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials, executor service, and client configuration options.
`AmazonMachineLearningAsyncClient(AWSCredentials awsCredentials, ExecutorService executorService)` Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials and executor service.
`AmazonMachineLearningAsyncClient(AWSCredentialsProvider awsCredentialsProvider)` Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider.
`AmazonMachineLearningAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration)` Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider and client configuration options.
`AmazonMachineLearningAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration, ExecutorService executorService)` Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider, executor service, and client configuration options.
`AmazonMachineLearningAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ExecutorService executorService)` Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider and executor service.
`AmazonMachineLearningAsyncClient(ClientConfiguration clientConfiguration)` Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning.

Method Summary

Methods
Modifier and Type	Method and Description
`Future<CreateBatchPredictionResult>`	`createBatchPredictionAsync(CreateBatchPredictionRequest createBatchPredictionRequest)` Generates predictions for a group of observations.
`Future<CreateBatchPredictionResult>`	`createBatchPredictionAsync(CreateBatchPredictionRequest createBatchPredictionRequest, AsyncHandler<CreateBatchPredictionRequest,CreateBatchPredictionResult> asyncHandler)` Generates predictions for a group of observations.
`Future<CreateDataSourceFromRDSResult>`	`createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest createDataSourceFromRDSRequest)` Creates a `DataSource` object from an Amazon Relational Database Service (Amazon RDS).
`Future<CreateDataSourceFromRDSResult>`	`createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest createDataSourceFromRDSRequest, AsyncHandler<CreateDataSourceFromRDSRequest,CreateDataSourceFromRDSResult> asyncHandler)` Creates a `DataSource` object from an Amazon Relational Database Service (Amazon RDS).
`Future<CreateDataSourceFromRedshiftResult>`	`createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest)` Creates a `DataSource` from Amazon Redshift .
`Future<CreateDataSourceFromRedshiftResult>`	`createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest, AsyncHandler<CreateDataSourceFromRedshiftRequest,CreateDataSourceFromRedshiftResult> asyncHandler)` Creates a `DataSource` from Amazon Redshift .
`Future<CreateDataSourceFromS3Result>`	`createDataSourceFromS3Async(CreateDataSourceFromS3Request createDataSourceFromS3Request)` Creates a `DataSource` object.
`Future<CreateDataSourceFromS3Result>`	`createDataSourceFromS3Async(CreateDataSourceFromS3Request createDataSourceFromS3Request, AsyncHandler<CreateDataSourceFromS3Request,CreateDataSourceFromS3Result> asyncHandler)` Creates a `DataSource` object.
`Future<CreateEvaluationResult>`	`createEvaluationAsync(CreateEvaluationRequest createEvaluationRequest)` Creates a new `Evaluation` of an `MLModel` .
`Future<CreateEvaluationResult>`	`createEvaluationAsync(CreateEvaluationRequest createEvaluationRequest, AsyncHandler<CreateEvaluationRequest,CreateEvaluationResult> asyncHandler)` Creates a new `Evaluation` of an `MLModel` .
`Future<CreateMLModelResult>`	`createMLModelAsync(CreateMLModelRequest createMLModelRequest)` Creates a new `MLModel` using the data files and the recipe as information sources.
`Future<CreateMLModelResult>`	`createMLModelAsync(CreateMLModelRequest createMLModelRequest, AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)` Creates a new `MLModel` using the data files and the recipe as information sources.
`Future<CreateRealtimeEndpointResult>`	`createRealtimeEndpointAsync(CreateRealtimeEndpointRequest createRealtimeEndpointRequest)` Creates a real-time endpoint for the `MLModel` .
`Future<CreateRealtimeEndpointResult>`	`createRealtimeEndpointAsync(CreateRealtimeEndpointRequest createRealtimeEndpointRequest, AsyncHandler<CreateRealtimeEndpointRequest,CreateRealtimeEndpointResult> asyncHandler)` Creates a real-time endpoint for the `MLModel` .
`Future<DeleteBatchPredictionResult>`	`deleteBatchPredictionAsync(DeleteBatchPredictionRequest deleteBatchPredictionRequest)` Assigns the DELETED status to a `BatchPrediction` , rendering it unusable.
`Future<DeleteBatchPredictionResult>`	`deleteBatchPredictionAsync(DeleteBatchPredictionRequest deleteBatchPredictionRequest, AsyncHandler<DeleteBatchPredictionRequest,DeleteBatchPredictionResult> asyncHandler)` Assigns the DELETED status to a `BatchPrediction` , rendering it unusable.
`Future<DeleteDataSourceResult>`	`deleteDataSourceAsync(DeleteDataSourceRequest deleteDataSourceRequest)` Assigns the DELETED status to a `DataSource` , rendering it unusable.
`Future<DeleteDataSourceResult>`	`deleteDataSourceAsync(DeleteDataSourceRequest deleteDataSourceRequest, AsyncHandler<DeleteDataSourceRequest,DeleteDataSourceResult> asyncHandler)` Assigns the DELETED status to a `DataSource` , rendering it unusable.
`Future<DeleteEvaluationResult>`	`deleteEvaluationAsync(DeleteEvaluationRequest deleteEvaluationRequest)` Assigns the `DELETED` status to an `Evaluation` , rendering it unusable.
`Future<DeleteEvaluationResult>`	`deleteEvaluationAsync(DeleteEvaluationRequest deleteEvaluationRequest, AsyncHandler<DeleteEvaluationRequest,DeleteEvaluationResult> asyncHandler)` Assigns the `DELETED` status to an `Evaluation` , rendering it unusable.
`Future<DeleteMLModelResult>`	`deleteMLModelAsync(DeleteMLModelRequest deleteMLModelRequest)` Assigns the DELETED status to an `MLModel` , rendering it unusable.
`Future<DeleteMLModelResult>`	`deleteMLModelAsync(DeleteMLModelRequest deleteMLModelRequest, AsyncHandler<DeleteMLModelRequest,DeleteMLModelResult> asyncHandler)` Assigns the DELETED status to an `MLModel` , rendering it unusable.
`Future<DeleteRealtimeEndpointResult>`	`deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest)` Deletes a real time endpoint of an `MLModel` .
`Future<DeleteRealtimeEndpointResult>`	`deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest, AsyncHandler<DeleteRealtimeEndpointRequest,DeleteRealtimeEndpointResult> asyncHandler)` Deletes a real time endpoint of an `MLModel` .
`Future<DescribeBatchPredictionsResult>`	`describeBatchPredictionsAsync(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)` Returns a list of `BatchPrediction` operations that match the search criteria in the request.
`Future<DescribeBatchPredictionsResult>`	`describeBatchPredictionsAsync(DescribeBatchPredictionsRequest describeBatchPredictionsRequest, AsyncHandler<DescribeBatchPredictionsRequest,DescribeBatchPredictionsResult> asyncHandler)` Returns a list of `BatchPrediction` operations that match the search criteria in the request.
`Future<DescribeDataSourcesResult>`	`describeDataSourcesAsync(DescribeDataSourcesRequest describeDataSourcesRequest)` Returns a list of `DataSource` that match the search criteria in the request.
`Future<DescribeDataSourcesResult>`	`describeDataSourcesAsync(DescribeDataSourcesRequest describeDataSourcesRequest, AsyncHandler<DescribeDataSourcesRequest,DescribeDataSourcesResult> asyncHandler)` Returns a list of `DataSource` that match the search criteria in the request.
`Future<DescribeEvaluationsResult>`	`describeEvaluationsAsync(DescribeEvaluationsRequest describeEvaluationsRequest)` Returns a list of `DescribeEvaluations` that match the search criteria in the request.
`Future<DescribeEvaluationsResult>`	`describeEvaluationsAsync(DescribeEvaluationsRequest describeEvaluationsRequest, AsyncHandler<DescribeEvaluationsRequest,DescribeEvaluationsResult> asyncHandler)` Returns a list of `DescribeEvaluations` that match the search criteria in the request.
`Future<DescribeMLModelsResult>`	`describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest)` Returns a list of `MLModel` that match the search criteria in the request.
`Future<DescribeMLModelsResult>`	`describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest, AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler)` Returns a list of `MLModel` that match the search criteria in the request.
`Future<GetBatchPredictionResult>`	`getBatchPredictionAsync(GetBatchPredictionRequest getBatchPredictionRequest)` Returns a `BatchPrediction` that includes detailed metadata, status, and data file information for a `Batch Prediction` request.
`Future<GetBatchPredictionResult>`	`getBatchPredictionAsync(GetBatchPredictionRequest getBatchPredictionRequest, AsyncHandler<GetBatchPredictionRequest,GetBatchPredictionResult> asyncHandler)` Returns a `BatchPrediction` that includes detailed metadata, status, and data file information for a `Batch Prediction` request.
`Future<GetDataSourceResult>`	`getDataSourceAsync(GetDataSourceRequest getDataSourceRequest)` Returns a `DataSource` that includes metadata and data file information, as well as the current status of the `DataSource` .
`Future<GetDataSourceResult>`	`getDataSourceAsync(GetDataSourceRequest getDataSourceRequest, AsyncHandler<GetDataSourceRequest,GetDataSourceResult> asyncHandler)` Returns a `DataSource` that includes metadata and data file information, as well as the current status of the `DataSource` .
`Future<GetEvaluationResult>`	`getEvaluationAsync(GetEvaluationRequest getEvaluationRequest)` Returns an `Evaluation` that includes metadata as well as the current status of the `Evaluation` .
`Future<GetEvaluationResult>`	`getEvaluationAsync(GetEvaluationRequest getEvaluationRequest, AsyncHandler<GetEvaluationRequest,GetEvaluationResult> asyncHandler)` Returns an `Evaluation` that includes metadata as well as the current status of the `Evaluation` .
`ExecutorService`	`getExecutorService()` Returns the executor service used by this async client to execute requests.
`Future<GetMLModelResult>`	`getMLModelAsync(GetMLModelRequest getMLModelRequest)` Returns an `MLModel` that includes detailed metadata, and data source information as well as the current status of the `MLModel` .
`Future<GetMLModelResult>`	`getMLModelAsync(GetMLModelRequest getMLModelRequest, AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)` Returns an `MLModel` that includes detailed metadata, and data source information as well as the current status of the `MLModel` .
`Future<PredictResult>`	`predictAsync(PredictRequest predictRequest)` Generates a prediction for the observation using the specified `MLModel` .
`Future<PredictResult>`	`predictAsync(PredictRequest predictRequest, AsyncHandler<PredictRequest,PredictResult> asyncHandler)` Generates a prediction for the observation using the specified `MLModel` .
`void`	`shutdown()` Shuts down the client, releasing all managed resources.
`Future<UpdateBatchPredictionResult>`	`updateBatchPredictionAsync(UpdateBatchPredictionRequest updateBatchPredictionRequest)` Updates the `BatchPredictionName` of a `BatchPrediction` .
`Future<UpdateBatchPredictionResult>`	`updateBatchPredictionAsync(UpdateBatchPredictionRequest updateBatchPredictionRequest, AsyncHandler<UpdateBatchPredictionRequest,UpdateBatchPredictionResult> asyncHandler)` Updates the `BatchPredictionName` of a `BatchPrediction` .
`Future<UpdateDataSourceResult>`	`updateDataSourceAsync(UpdateDataSourceRequest updateDataSourceRequest)` Updates the `DataSourceName` of a `DataSource` .
`Future<UpdateDataSourceResult>`	`updateDataSourceAsync(UpdateDataSourceRequest updateDataSourceRequest, AsyncHandler<UpdateDataSourceRequest,UpdateDataSourceResult> asyncHandler)` Updates the `DataSourceName` of a `DataSource` .
`Future<UpdateEvaluationResult>`	`updateEvaluationAsync(UpdateEvaluationRequest updateEvaluationRequest)` Updates the `EvaluationName` of an `Evaluation` .
`Future<UpdateEvaluationResult>`	`updateEvaluationAsync(UpdateEvaluationRequest updateEvaluationRequest, AsyncHandler<UpdateEvaluationRequest,UpdateEvaluationResult> asyncHandler)` Updates the `EvaluationName` of an `Evaluation` .
`Future<UpdateMLModelResult>`	`updateMLModelAsync(UpdateMLModelRequest updateMLModelRequest)` Updates the `MLModelName` and the `ScoreThreshold` of an `MLModel` .
`Future<UpdateMLModelResult>`	`updateMLModelAsync(UpdateMLModelRequest updateMLModelRequest, AsyncHandler<UpdateMLModelRequest,UpdateMLModelResult> asyncHandler)` Updates the `MLModelName` and the `ScoreThreshold` of an `MLModel` .

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - AmazonMachineLearningAsyncClient
```
public AmazonMachineLearningAsyncClient()
```
    Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning. A credentials provider chain will be used that searches for credentials in this order:
    - Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
    - Java System Properties - aws.accessKeyId and aws.secretKey
    - Instance profile credentials delivered through the Amazon EC2 metadata service
    All service calls made using this new client object are blocking, and will not return until the service call completes.
    See Also:
    DefaultAWSCredentialsProviderChain
  - AmazonMachineLearningAsyncClient
```
public AmazonMachineLearningAsyncClient(ClientConfiguration clientConfiguration)
```
    Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning. A credentials provider chain will be used that searches for credentials in this order:
    - Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY
    - Java System Properties - aws.accessKeyId and aws.secretKey
    - Instance profile credentials delivered through the Amazon EC2 metadata service
    All service calls made using this new client object are blocking, and will not return until the service call completes.
    Parameters:
    clientConfiguration - The client configuration options controlling how this client connects to AmazonMachineLearning (ex: proxy settings, retry counts, etc.).
    See Also:
    DefaultAWSCredentialsProviderChain
  - AmazonMachineLearningAsyncClient
```
public AmazonMachineLearningAsyncClient(AWSCredentials awsCredentials)
```
    Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials. Default client settings will be used, and a fixed size thread pool will be created for executing the asynchronous tasks.
    All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
    
    Parameters:
    awsCredentials - The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.
  - AmazonMachineLearningAsyncClient
```
public AmazonMachineLearningAsyncClient(AWSCredentials awsCredentials,
                                ExecutorService executorService)
```
    Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials and executor service. Default client settings will be used.
    All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
    
    Parameters:
    awsCredentials - The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.
    executorService - The executor service by which all asynchronous requests will be executed.
  - AmazonMachineLearningAsyncClient
```
public AmazonMachineLearningAsyncClient(AWSCredentials awsCredentials,
                                ClientConfiguration clientConfiguration,
                                ExecutorService executorService)
```
    Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials, executor service, and client configuration options.
    All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
    
    Parameters:
    awsCredentials - The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.
    clientConfiguration - Client configuration options (ex: max retry limit, proxy settings, etc).
    executorService - The executor service by which all asynchronous requests will be executed.
  - AmazonMachineLearningAsyncClient
```
public AmazonMachineLearningAsyncClient(AWSCredentialsProvider awsCredentialsProvider)
```
    Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider. Default client settings will be used, and a fixed size thread pool will be created for executing the asynchronous tasks.
    All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
    
    Parameters:
    awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.
  - AmazonMachineLearningAsyncClient
```
public AmazonMachineLearningAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
                                ExecutorService executorService)
```
    Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider and executor service. Default client settings will be used.
    All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
    
    Parameters:
    awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.
    executorService - The executor service by which all asynchronous requests will be executed.
  - AmazonMachineLearningAsyncClient
```
public AmazonMachineLearningAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
                                ClientConfiguration clientConfiguration)
```
    Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider and client configuration options.
    All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
    
    Parameters:
    awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.
    clientConfiguration - Client configuration options (ex: max retry limit, proxy settings, etc).
  - AmazonMachineLearningAsyncClient
```
public AmazonMachineLearningAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
                                ClientConfiguration clientConfiguration,
                                ExecutorService executorService)
```
    Constructs a new asynchronous client to invoke service methods on AmazonMachineLearning using the specified AWS account credentials provider, executor service, and client configuration options.
    All calls made using this new client object are non-blocking, and will immediately return a Java Future object that the caller can later check to see if the service call has actually completed.
    
    Parameters:
    awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.
    clientConfiguration - Client configuration options (ex: max retry limit, proxy settings, etc).
    executorService - The executor service by which all asynchronous requests will be executed.
- Method Detail
  - getExecutorService
```
public ExecutorService getExecutorService()
```
    Returns the executor service used by this async client to execute requests.
    
    Returns:
    The executor service used by this async client to execute requests.
  - shutdown
```
public void shutdown()
```
    Shuts down the client, releasing all managed resources. This includes forcibly terminating all pending asynchronous service calls. Clients who wish to give pending asynchronous service calls time to complete should call getExecutorService().shutdown() followed by getExecutorService().awaitTermination() prior to calling this method.
    
    Specified by:
    
    shutdown in interface AmazonMachineLearning
    
    Overrides:
    
    shutdown in class AmazonWebServiceClient
  - updateEvaluationAsync
```
public Future<UpdateEvaluationResult> updateEvaluationAsync(UpdateEvaluationRequest updateEvaluationRequest)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    Updates the EvaluationName of an Evaluation .
    
    You can use the GetEvaluation operation to view the contents of the updated data element.
    
    Specified by:
    
    updateEvaluationAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    updateEvaluationRequest - Container for the necessary parameters to execute the UpdateEvaluation operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the UpdateEvaluation service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - updateEvaluationAsync
```
public Future<UpdateEvaluationResult> updateEvaluationAsync(UpdateEvaluationRequest updateEvaluationRequest,
                                                   AsyncHandler<UpdateEvaluationRequest,UpdateEvaluationResult> asyncHandler)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    Updates the EvaluationName of an Evaluation .
    
    You can use the GetEvaluation operation to view the contents of the updated data element.
    
    Specified by:
    
    updateEvaluationAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    updateEvaluationRequest - Container for the necessary parameters to execute the UpdateEvaluation operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the UpdateEvaluation service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createMLModelAsync
```
public Future<CreateMLModelResult> createMLModelAsync(CreateMLModelRequest createMLModelRequest)
                                               throws AmazonServiceException,
                                                      AmazonClientException
```
    Creates a new MLModel using the data files and the recipe as information sources.
    
    An MLModel is nearly immutable. Users can only update the MLModelName and the ScoreThreshold in an MLModel without creating a new MLModel .
    
    CreateMLModel is an asynchronous operation. In response to CreateMLModel , Amazon Machine Learning (Amazon ML) immediately returns and sets the MLModel status to PENDING . After the MLModel is created and ready for use, Amazon ML sets the status to COMPLETED .
    
    You can use the GetMLModel operation to check progress of the MLModel during the creation operation.
    
    CreateMLModel requires a DataSource with computed statistics, which can be created by setting ComputeStatistics to true in CreateDataSourceFromRDS, CreateDataSourceFromS3, or CreateDataSourceFromRedshift operations.
    
    Specified by:
    
    createMLModelAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createMLModelRequest - Container for the necessary parameters to execute the CreateMLModel operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the CreateMLModel service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createMLModelAsync
```
public Future<CreateMLModelResult> createMLModelAsync(CreateMLModelRequest createMLModelRequest,
                                             AsyncHandler<CreateMLModelRequest,CreateMLModelResult> asyncHandler)
                                               throws AmazonServiceException,
                                                      AmazonClientException
```
    Creates a new MLModel using the data files and the recipe as information sources.
    
    An MLModel is nearly immutable. Users can only update the MLModelName and the ScoreThreshold in an MLModel without creating a new MLModel .
    
    CreateMLModel is an asynchronous operation. In response to CreateMLModel , Amazon Machine Learning (Amazon ML) immediately returns and sets the MLModel status to PENDING . After the MLModel is created and ready for use, Amazon ML sets the status to COMPLETED .
    
    You can use the GetMLModel operation to check progress of the MLModel during the creation operation.
    
    CreateMLModel requires a DataSource with computed statistics, which can be created by setting ComputeStatistics to true in CreateDataSourceFromRDS, CreateDataSourceFromS3, or CreateDataSourceFromRedshift operations.
    
    Specified by:
    
    createMLModelAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createMLModelRequest - Container for the necessary parameters to execute the CreateMLModel operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the CreateMLModel service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createRealtimeEndpointAsync
```
public Future<CreateRealtimeEndpointResult> createRealtimeEndpointAsync(CreateRealtimeEndpointRequest createRealtimeEndpointRequest)
                                                                 throws AmazonServiceException,
                                                                        AmazonClientException
```
    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 .
    
    Specified by:
    
    createRealtimeEndpointAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createRealtimeEndpointRequest - Container for the necessary parameters to execute the CreateRealtimeEndpoint operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the CreateRealtimeEndpoint service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createRealtimeEndpointAsync
```
public Future<CreateRealtimeEndpointResult> createRealtimeEndpointAsync(CreateRealtimeEndpointRequest createRealtimeEndpointRequest,
                                                               AsyncHandler<CreateRealtimeEndpointRequest,CreateRealtimeEndpointResult> asyncHandler)
                                                                 throws AmazonServiceException,
                                                                        AmazonClientException
```
    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 .
    
    Specified by:
    
    createRealtimeEndpointAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createRealtimeEndpointRequest - Container for the necessary parameters to execute the CreateRealtimeEndpoint operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the CreateRealtimeEndpoint service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createDataSourceFromS3Async
```
public Future<CreateDataSourceFromS3Result> createDataSourceFromS3Async(CreateDataSourceFromS3Request createDataSourceFromS3Request)
                                                                 throws AmazonServiceException,
                                                                        AmazonClientException
```
    Creates a DataSource object. A DataSource references data that can be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
    
    CreateDataSourceFromS3 is an asynchronous operation. In response to CreateDataSourceFromS3 , Amazon Machine Learning (Amazon ML) immediately returns and sets the DataSource status to PENDING . After the DataSource is created and ready for use, Amazon ML sets the Status parameter to COMPLETED . DataSource in COMPLETED or PENDING status can only be used to perform CreateMLModel, CreateEvaluation or CreateBatchPrediction operations.
    
    If Amazon ML cannot accept the input source, it sets the Status parameter to FAILED and includes an error message in the Message attribute of the GetDataSource operation response.
    
    The observation data used in a DataSource should be ready to use; that is, it should have a consistent structure, and missing data values should be kept to a minimum. The observation data must reside in one or more CSV files in an Amazon Simple Storage Service (Amazon S3) bucket, along with a schema that describes the data items by name and type. The same schema must be used for all of the data files referenced by the DataSource .
    
    After the DataSource has been created, it's ready to use in evaluations and batch predictions. If you plan to use the DataSource to train an MLModel , the DataSource requires another item: a recipe. A recipe describes the observation variables that participate in training an MLModel . A recipe describes how each input variable will be used in training. Will the variable be included or excluded from training? Will the variable be manipulated, for example, combined with another variable, or split apart into word combinations? The recipe provides answers to these questions. For more information, see the Amazon Machine Learning Developer Guide .
    
    Specified by:
    
    createDataSourceFromS3Async in interface AmazonMachineLearningAsync
    
    Parameters:
    createDataSourceFromS3Request - Container for the necessary parameters to execute the CreateDataSourceFromS3 operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the CreateDataSourceFromS3 service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createDataSourceFromS3Async
```
public Future<CreateDataSourceFromS3Result> createDataSourceFromS3Async(CreateDataSourceFromS3Request createDataSourceFromS3Request,
                                                               AsyncHandler<CreateDataSourceFromS3Request,CreateDataSourceFromS3Result> asyncHandler)
                                                                 throws AmazonServiceException,
                                                                        AmazonClientException
```
    Creates a DataSource object. A DataSource references data that can be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
    
    CreateDataSourceFromS3 is an asynchronous operation. In response to CreateDataSourceFromS3 , Amazon Machine Learning (Amazon ML) immediately returns and sets the DataSource status to PENDING . After the DataSource is created and ready for use, Amazon ML sets the Status parameter to COMPLETED . DataSource in COMPLETED or PENDING status can only be used to perform CreateMLModel, CreateEvaluation or CreateBatchPrediction operations.
    
    If Amazon ML cannot accept the input source, it sets the Status parameter to FAILED and includes an error message in the Message attribute of the GetDataSource operation response.
    
    The observation data used in a DataSource should be ready to use; that is, it should have a consistent structure, and missing data values should be kept to a minimum. The observation data must reside in one or more CSV files in an Amazon Simple Storage Service (Amazon S3) bucket, along with a schema that describes the data items by name and type. The same schema must be used for all of the data files referenced by the DataSource .
    
    After the DataSource has been created, it's ready to use in evaluations and batch predictions. If you plan to use the DataSource to train an MLModel , the DataSource requires another item: a recipe. A recipe describes the observation variables that participate in training an MLModel . A recipe describes how each input variable will be used in training. Will the variable be included or excluded from training? Will the variable be manipulated, for example, combined with another variable, or split apart into word combinations? The recipe provides answers to these questions. For more information, see the Amazon Machine Learning Developer Guide .
    
    Specified by:
    
    createDataSourceFromS3Async in interface AmazonMachineLearningAsync
    
    Parameters:
    createDataSourceFromS3Request - Container for the necessary parameters to execute the CreateDataSourceFromS3 operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the CreateDataSourceFromS3 service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - deleteMLModelAsync
```
public Future<DeleteMLModelResult> deleteMLModelAsync(DeleteMLModelRequest deleteMLModelRequest)
                                               throws AmazonServiceException,
                                                      AmazonClientException
```
    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.
    
    Specified by:
    
    deleteMLModelAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    deleteMLModelRequest - Container for the necessary parameters to execute the DeleteMLModel operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the DeleteMLModel service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - deleteMLModelAsync
```
public Future<DeleteMLModelResult> deleteMLModelAsync(DeleteMLModelRequest deleteMLModelRequest,
                                             AsyncHandler<DeleteMLModelRequest,DeleteMLModelResult> asyncHandler)
                                               throws AmazonServiceException,
                                                      AmazonClientException
```
    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.
    
    Specified by:
    
    deleteMLModelAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    deleteMLModelRequest - Container for the necessary parameters to execute the DeleteMLModel operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the DeleteMLModel service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - predictAsync
```
public Future<PredictResult> predictAsync(PredictRequest predictRequest)
                                   throws AmazonServiceException,
                                          AmazonClientException
```
    Generates a prediction for the observation using the specified MLModel .
    
    NOTE: Note Not all response parameters will be populated because this is dependent on the type of requested model.
    
    Specified by:
    
    predictAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    predictRequest - Container for the necessary parameters to execute the Predict operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the Predict service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - predictAsync
```
public Future<PredictResult> predictAsync(PredictRequest predictRequest,
                                 AsyncHandler<PredictRequest,PredictResult> asyncHandler)
                                   throws AmazonServiceException,
                                          AmazonClientException
```
    Generates a prediction for the observation using the specified MLModel .
    
    NOTE: Note Not all response parameters will be populated because this is dependent on the type of requested model.
    
    Specified by:
    
    predictAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    predictRequest - Container for the necessary parameters to execute the Predict operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the Predict service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - describeBatchPredictionsAsync
```
public Future<DescribeBatchPredictionsResult> describeBatchPredictionsAsync(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)
                                                                     throws AmazonServiceException,
                                                                            AmazonClientException
```
    Returns a list of BatchPrediction operations that match the search criteria in the request.
    
    Specified by:
    
    describeBatchPredictionsAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    describeBatchPredictionsRequest - Container for the necessary parameters to execute the DescribeBatchPredictions operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the DescribeBatchPredictions service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - describeBatchPredictionsAsync
```
public Future<DescribeBatchPredictionsResult> describeBatchPredictionsAsync(DescribeBatchPredictionsRequest describeBatchPredictionsRequest,
                                                                   AsyncHandler<DescribeBatchPredictionsRequest,DescribeBatchPredictionsResult> asyncHandler)
                                                                     throws AmazonServiceException,
                                                                            AmazonClientException
```
    Returns a list of BatchPrediction operations that match the search criteria in the request.
    
    Specified by:
    
    describeBatchPredictionsAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    describeBatchPredictionsRequest - Container for the necessary parameters to execute the DescribeBatchPredictions operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the DescribeBatchPredictions service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - getEvaluationAsync
```
public Future<GetEvaluationResult> getEvaluationAsync(GetEvaluationRequest getEvaluationRequest)
                                               throws AmazonServiceException,
                                                      AmazonClientException
```
    Returns an Evaluation that includes metadata as well as the current status of the Evaluation .
    
    Specified by:
    
    getEvaluationAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    getEvaluationRequest - Container for the necessary parameters to execute the GetEvaluation operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the GetEvaluation service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - getEvaluationAsync
```
public Future<GetEvaluationResult> getEvaluationAsync(GetEvaluationRequest getEvaluationRequest,
                                             AsyncHandler<GetEvaluationRequest,GetEvaluationResult> asyncHandler)
                                               throws AmazonServiceException,
                                                      AmazonClientException
```
    Returns an Evaluation that includes metadata as well as the current status of the Evaluation .
    
    Specified by:
    
    getEvaluationAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    getEvaluationRequest - Container for the necessary parameters to execute the GetEvaluation operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the GetEvaluation service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - updateMLModelAsync
```
public Future<UpdateMLModelResult> updateMLModelAsync(UpdateMLModelRequest updateMLModelRequest)
                                               throws AmazonServiceException,
                                                      AmazonClientException
```
    Updates the MLModelName and the ScoreThreshold of an MLModel .
    
    You can use the GetMLModel operation to view the contents of the updated data element.
    
    Specified by:
    
    updateMLModelAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    updateMLModelRequest - Container for the necessary parameters to execute the UpdateMLModel operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the UpdateMLModel service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - updateMLModelAsync
```
public Future<UpdateMLModelResult> updateMLModelAsync(UpdateMLModelRequest updateMLModelRequest,
                                             AsyncHandler<UpdateMLModelRequest,UpdateMLModelResult> asyncHandler)
                                               throws AmazonServiceException,
                                                      AmazonClientException
```
    Updates the MLModelName and the ScoreThreshold of an MLModel .
    
    You can use the GetMLModel operation to view the contents of the updated data element.
    
    Specified by:
    
    updateMLModelAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    updateMLModelRequest - Container for the necessary parameters to execute the UpdateMLModel operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the UpdateMLModel service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - getDataSourceAsync
```
public Future<GetDataSourceResult> getDataSourceAsync(GetDataSourceRequest getDataSourceRequest)
                                               throws AmazonServiceException,
                                                      AmazonClientException
```
    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.
    
    Specified by:
    
    getDataSourceAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    getDataSourceRequest - Container for the necessary parameters to execute the GetDataSource operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the GetDataSource service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - getDataSourceAsync
```
public Future<GetDataSourceResult> getDataSourceAsync(GetDataSourceRequest getDataSourceRequest,
                                             AsyncHandler<GetDataSourceRequest,GetDataSourceResult> asyncHandler)
                                               throws AmazonServiceException,
                                                      AmazonClientException
```
    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.
    
    Specified by:
    
    getDataSourceAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    getDataSourceRequest - Container for the necessary parameters to execute the GetDataSource operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the GetDataSource service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - describeDataSourcesAsync
```
public Future<DescribeDataSourcesResult> describeDataSourcesAsync(DescribeDataSourcesRequest describeDataSourcesRequest)
                                                           throws AmazonServiceException,
                                                                  AmazonClientException
```
    Returns a list of DataSource that match the search criteria in the request.
    
    Specified by:
    
    describeDataSourcesAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    describeDataSourcesRequest - Container for the necessary parameters to execute the DescribeDataSources operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the DescribeDataSources service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - describeDataSourcesAsync
```
public Future<DescribeDataSourcesResult> describeDataSourcesAsync(DescribeDataSourcesRequest describeDataSourcesRequest,
                                                         AsyncHandler<DescribeDataSourcesRequest,DescribeDataSourcesResult> asyncHandler)
                                                           throws AmazonServiceException,
                                                                  AmazonClientException
```
    Returns a list of DataSource that match the search criteria in the request.
    
    Specified by:
    
    describeDataSourcesAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    describeDataSourcesRequest - Container for the necessary parameters to execute the DescribeDataSources operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the DescribeDataSources service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - deleteEvaluationAsync
```
public Future<DeleteEvaluationResult> deleteEvaluationAsync(DeleteEvaluationRequest deleteEvaluationRequest)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    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.
    
    Specified by:
    
    deleteEvaluationAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    deleteEvaluationRequest - Container for the necessary parameters to execute the DeleteEvaluation operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the DeleteEvaluation service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - deleteEvaluationAsync
```
public Future<DeleteEvaluationResult> deleteEvaluationAsync(DeleteEvaluationRequest deleteEvaluationRequest,
                                                   AsyncHandler<DeleteEvaluationRequest,DeleteEvaluationResult> asyncHandler)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    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.
    
    Specified by:
    
    deleteEvaluationAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    deleteEvaluationRequest - Container for the necessary parameters to execute the DeleteEvaluation operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the DeleteEvaluation service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - updateBatchPredictionAsync
```
public Future<UpdateBatchPredictionResult> updateBatchPredictionAsync(UpdateBatchPredictionRequest updateBatchPredictionRequest)
                                                               throws AmazonServiceException,
                                                                      AmazonClientException
```
    Updates the BatchPredictionName of a BatchPrediction .
    
    You can use the GetBatchPrediction operation to view the contents of the updated data element.
    
    Specified by:
    
    updateBatchPredictionAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    updateBatchPredictionRequest - Container for the necessary parameters to execute the UpdateBatchPrediction operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the UpdateBatchPrediction service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - updateBatchPredictionAsync
```
public Future<UpdateBatchPredictionResult> updateBatchPredictionAsync(UpdateBatchPredictionRequest updateBatchPredictionRequest,
                                                             AsyncHandler<UpdateBatchPredictionRequest,UpdateBatchPredictionResult> asyncHandler)
                                                               throws AmazonServiceException,
                                                                      AmazonClientException
```
    Updates the BatchPredictionName of a BatchPrediction .
    
    You can use the GetBatchPrediction operation to view the contents of the updated data element.
    
    Specified by:
    
    updateBatchPredictionAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    updateBatchPredictionRequest - Container for the necessary parameters to execute the UpdateBatchPrediction operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the UpdateBatchPrediction service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createBatchPredictionAsync
```
public Future<CreateBatchPredictionResult> createBatchPredictionAsync(CreateBatchPredictionRequest createBatchPredictionRequest)
                                                               throws AmazonServiceException,
                                                                      AmazonClientException
```
    Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a DataSource . This operation creates a new BatchPrediction , and uses an MLModel and the data files referenced by the DataSource as information sources.
    
    CreateBatchPrediction is an asynchronous operation. In response to CreateBatchPrediction , Amazon Machine Learning (Amazon ML) immediately returns and sets the BatchPrediction status to PENDING . After the BatchPrediction completes, Amazon ML sets the status to COMPLETED .
    
    You can poll for status updates by using the GetBatchPrediction operation and checking the Status parameter of the result. After the COMPLETED status appears, the results are available in the location specified by the OutputUri parameter.
    
    Specified by:
    
    createBatchPredictionAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createBatchPredictionRequest - Container for the necessary parameters to execute the CreateBatchPrediction operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the CreateBatchPrediction service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createBatchPredictionAsync
```
public Future<CreateBatchPredictionResult> createBatchPredictionAsync(CreateBatchPredictionRequest createBatchPredictionRequest,
                                                             AsyncHandler<CreateBatchPredictionRequest,CreateBatchPredictionResult> asyncHandler)
                                                               throws AmazonServiceException,
                                                                      AmazonClientException
```
    Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a DataSource . This operation creates a new BatchPrediction , and uses an MLModel and the data files referenced by the DataSource as information sources.
    
    CreateBatchPrediction is an asynchronous operation. In response to CreateBatchPrediction , Amazon Machine Learning (Amazon ML) immediately returns and sets the BatchPrediction status to PENDING . After the BatchPrediction completes, Amazon ML sets the status to COMPLETED .
    
    You can poll for status updates by using the GetBatchPrediction operation and checking the Status parameter of the result. After the COMPLETED status appears, the results are available in the location specified by the OutputUri parameter.
    
    Specified by:
    
    createBatchPredictionAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createBatchPredictionRequest - Container for the necessary parameters to execute the CreateBatchPrediction operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the CreateBatchPrediction service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - describeMLModelsAsync
```
public Future<DescribeMLModelsResult> describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    Returns a list of MLModel that match the search criteria in the request.
    
    Specified by:
    
    describeMLModelsAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    describeMLModelsRequest - Container for the necessary parameters to execute the DescribeMLModels operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the DescribeMLModels service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - describeMLModelsAsync
```
public Future<DescribeMLModelsResult> describeMLModelsAsync(DescribeMLModelsRequest describeMLModelsRequest,
                                                   AsyncHandler<DescribeMLModelsRequest,DescribeMLModelsResult> asyncHandler)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    Returns a list of MLModel that match the search criteria in the request.
    
    Specified by:
    
    describeMLModelsAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    describeMLModelsRequest - Container for the necessary parameters to execute the DescribeMLModels operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the DescribeMLModels service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - deleteBatchPredictionAsync
```
public Future<DeleteBatchPredictionResult> deleteBatchPredictionAsync(DeleteBatchPredictionRequest deleteBatchPredictionRequest)
                                                               throws AmazonServiceException,
                                                                      AmazonClientException
```
    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.
    
    Specified by:
    
    deleteBatchPredictionAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    deleteBatchPredictionRequest - Container for the necessary parameters to execute the DeleteBatchPrediction operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the DeleteBatchPrediction service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - deleteBatchPredictionAsync
```
public Future<DeleteBatchPredictionResult> deleteBatchPredictionAsync(DeleteBatchPredictionRequest deleteBatchPredictionRequest,
                                                             AsyncHandler<DeleteBatchPredictionRequest,DeleteBatchPredictionResult> asyncHandler)
                                                               throws AmazonServiceException,
                                                                      AmazonClientException
```
    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.
    
    Specified by:
    
    deleteBatchPredictionAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    deleteBatchPredictionRequest - Container for the necessary parameters to execute the DeleteBatchPrediction operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the DeleteBatchPrediction service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - updateDataSourceAsync
```
public Future<UpdateDataSourceResult> updateDataSourceAsync(UpdateDataSourceRequest updateDataSourceRequest)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    Updates the DataSourceName of a DataSource .
    
    You can use the GetDataSource operation to view the contents of the updated data element.
    
    Specified by:
    
    updateDataSourceAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    updateDataSourceRequest - Container for the necessary parameters to execute the UpdateDataSource operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the UpdateDataSource service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - updateDataSourceAsync
```
public Future<UpdateDataSourceResult> updateDataSourceAsync(UpdateDataSourceRequest updateDataSourceRequest,
                                                   AsyncHandler<UpdateDataSourceRequest,UpdateDataSourceResult> asyncHandler)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    Updates the DataSourceName of a DataSource .
    
    You can use the GetDataSource operation to view the contents of the updated data element.
    
    Specified by:
    
    updateDataSourceAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    updateDataSourceRequest - Container for the necessary parameters to execute the UpdateDataSource operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the UpdateDataSource service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createDataSourceFromRDSAsync
```
public Future<CreateDataSourceFromRDSResult> createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest createDataSourceFromRDSRequest)
                                                                   throws AmazonServiceException,
                                                                          AmazonClientException
```
    Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS). A DataSource references data that can be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
    
    CreateDataSourceFromRDS is an asynchronous operation. In response to CreateDataSourceFromRDS , Amazon Machine Learning (Amazon ML) immediately returns and sets the DataSource status to PENDING . After the DataSource is created and ready for use, Amazon ML sets the Status parameter to COMPLETED . DataSource in COMPLETED or PENDING status can only be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
    
    If Amazon ML cannot accept the input source, it sets the Status parameter to FAILED and includes an error message in the Message attribute of the GetDataSource operation response.
    
    Specified by:
    
    createDataSourceFromRDSAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createDataSourceFromRDSRequest - Container for the necessary parameters to execute the CreateDataSourceFromRDS operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the CreateDataSourceFromRDS service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createDataSourceFromRDSAsync
```
public Future<CreateDataSourceFromRDSResult> createDataSourceFromRDSAsync(CreateDataSourceFromRDSRequest createDataSourceFromRDSRequest,
                                                                 AsyncHandler<CreateDataSourceFromRDSRequest,CreateDataSourceFromRDSResult> asyncHandler)
                                                                   throws AmazonServiceException,
                                                                          AmazonClientException
```
    Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS). A DataSource references data that can be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
    
    CreateDataSourceFromRDS is an asynchronous operation. In response to CreateDataSourceFromRDS , Amazon Machine Learning (Amazon ML) immediately returns and sets the DataSource status to PENDING . After the DataSource is created and ready for use, Amazon ML sets the Status parameter to COMPLETED . DataSource in COMPLETED or PENDING status can only be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
    
    If Amazon ML cannot accept the input source, it sets the Status parameter to FAILED and includes an error message in the Message attribute of the GetDataSource operation response.
    
    Specified by:
    
    createDataSourceFromRDSAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createDataSourceFromRDSRequest - Container for the necessary parameters to execute the CreateDataSourceFromRDS operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the CreateDataSourceFromRDS service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createDataSourceFromRedshiftAsync
```
public Future<CreateDataSourceFromRedshiftResult> createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest)
                                                                             throws AmazonServiceException,
                                                                                    AmazonClientException
```
    Creates a DataSource from Amazon Redshift . A DataSource references data that can be used to perform either CreateMLModel, CreateEvaluation or CreateBatchPrediction operations.
    
    CreateDataSourceFromRedshift is an asynchronous operation. In response to CreateDataSourceFromRedshift , Amazon Machine Learning (Amazon ML) immediately returns and sets the DataSource status to PENDING . After the DataSource is created and ready for use, Amazon ML sets the Status parameter to COMPLETED . DataSource in COMPLETED or PENDING status can only be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
    
    If Amazon ML cannot accept the input source, it sets the Status parameter to FAILED and includes an error message in the Message attribute of the GetDataSource operation response.
    
    The observations should exist in the database hosted on an Amazon Redshift cluster and should be specified by a SelectSqlQuery . Amazon ML executes Unload command in Amazon Redshift to transfer the result set of SelectSqlQuery to S3StagingLocation.
    
    After the DataSource is created, it's ready for use in evaluations and batch predictions. If you plan to use the DataSource to train an MLModel , the DataSource requires another item -- a recipe. A recipe describes the observation variables that participate in training an MLModel . A recipe describes how each input variable will be used in training. Will the variable be included or excluded from training? Will the variable be manipulated, for example, combined with another variable or split apart into word combinations? The recipe provides answers to these questions. For more information, see the Amazon Machine Learning Developer Guide.
    
    Specified by:
    
    createDataSourceFromRedshiftAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createDataSourceFromRedshiftRequest - Container for the necessary parameters to execute the CreateDataSourceFromRedshift operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the CreateDataSourceFromRedshift service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createDataSourceFromRedshiftAsync
```
public Future<CreateDataSourceFromRedshiftResult> createDataSourceFromRedshiftAsync(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest,
                                                                           AsyncHandler<CreateDataSourceFromRedshiftRequest,CreateDataSourceFromRedshiftResult> asyncHandler)
                                                                             throws AmazonServiceException,
                                                                                    AmazonClientException
```
    Creates a DataSource from Amazon Redshift . A DataSource references data that can be used to perform either CreateMLModel, CreateEvaluation or CreateBatchPrediction operations.
    
    CreateDataSourceFromRedshift is an asynchronous operation. In response to CreateDataSourceFromRedshift , Amazon Machine Learning (Amazon ML) immediately returns and sets the DataSource status to PENDING . After the DataSource is created and ready for use, Amazon ML sets the Status parameter to COMPLETED . DataSource in COMPLETED or PENDING status can only be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
    
    If Amazon ML cannot accept the input source, it sets the Status parameter to FAILED and includes an error message in the Message attribute of the GetDataSource operation response.
    
    The observations should exist in the database hosted on an Amazon Redshift cluster and should be specified by a SelectSqlQuery . Amazon ML executes Unload command in Amazon Redshift to transfer the result set of SelectSqlQuery to S3StagingLocation.
    
    After the DataSource is created, it's ready for use in evaluations and batch predictions. If you plan to use the DataSource to train an MLModel , the DataSource requires another item -- a recipe. A recipe describes the observation variables that participate in training an MLModel . A recipe describes how each input variable will be used in training. Will the variable be included or excluded from training? Will the variable be manipulated, for example, combined with another variable or split apart into word combinations? The recipe provides answers to these questions. For more information, see the Amazon Machine Learning Developer Guide.
    
    Specified by:
    
    createDataSourceFromRedshiftAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createDataSourceFromRedshiftRequest - Container for the necessary parameters to execute the CreateDataSourceFromRedshift operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the CreateDataSourceFromRedshift service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - describeEvaluationsAsync
```
public Future<DescribeEvaluationsResult> describeEvaluationsAsync(DescribeEvaluationsRequest describeEvaluationsRequest)
                                                           throws AmazonServiceException,
                                                                  AmazonClientException
```
    Returns a list of DescribeEvaluations that match the search criteria in the request.
    
    Specified by:
    
    describeEvaluationsAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    describeEvaluationsRequest - Container for the necessary parameters to execute the DescribeEvaluations operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the DescribeEvaluations service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - describeEvaluationsAsync
```
public Future<DescribeEvaluationsResult> describeEvaluationsAsync(DescribeEvaluationsRequest describeEvaluationsRequest,
                                                         AsyncHandler<DescribeEvaluationsRequest,DescribeEvaluationsResult> asyncHandler)
                                                           throws AmazonServiceException,
                                                                  AmazonClientException
```
    Returns a list of DescribeEvaluations that match the search criteria in the request.
    
    Specified by:
    
    describeEvaluationsAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    describeEvaluationsRequest - Container for the necessary parameters to execute the DescribeEvaluations operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the DescribeEvaluations service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - getMLModelAsync
```
public Future<GetMLModelResult> getMLModelAsync(GetMLModelRequest getMLModelRequest)
                                         throws AmazonServiceException,
                                                AmazonClientException
```
    Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel .
    
    GetMLModel provides results in normal or verbose format.
    
    Specified by:
    
    getMLModelAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    getMLModelRequest - Container for the necessary parameters to execute the GetMLModel operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the GetMLModel service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - getMLModelAsync
```
public Future<GetMLModelResult> getMLModelAsync(GetMLModelRequest getMLModelRequest,
                                       AsyncHandler<GetMLModelRequest,GetMLModelResult> asyncHandler)
                                         throws AmazonServiceException,
                                                AmazonClientException
```
    Returns an MLModel that includes detailed metadata, and data source information as well as the current status of the MLModel .
    
    GetMLModel provides results in normal or verbose format.
    
    Specified by:
    
    getMLModelAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    getMLModelRequest - Container for the necessary parameters to execute the GetMLModel operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the GetMLModel service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - deleteDataSourceAsync
```
public Future<DeleteDataSourceResult> deleteDataSourceAsync(DeleteDataSourceRequest deleteDataSourceRequest)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    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.
    
    Specified by:
    
    deleteDataSourceAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    deleteDataSourceRequest - Container for the necessary parameters to execute the DeleteDataSource operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the DeleteDataSource service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - deleteDataSourceAsync
```
public Future<DeleteDataSourceResult> deleteDataSourceAsync(DeleteDataSourceRequest deleteDataSourceRequest,
                                                   AsyncHandler<DeleteDataSourceRequest,DeleteDataSourceResult> asyncHandler)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    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.
    
    Specified by:
    
    deleteDataSourceAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    deleteDataSourceRequest - Container for the necessary parameters to execute the DeleteDataSource operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the DeleteDataSource service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - getBatchPredictionAsync
```
public Future<GetBatchPredictionResult> getBatchPredictionAsync(GetBatchPredictionRequest getBatchPredictionRequest)
                                                         throws AmazonServiceException,
                                                                AmazonClientException
```
    Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
    
    Specified by:
    
    getBatchPredictionAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    getBatchPredictionRequest - Container for the necessary parameters to execute the GetBatchPrediction operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the GetBatchPrediction service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - getBatchPredictionAsync
```
public Future<GetBatchPredictionResult> getBatchPredictionAsync(GetBatchPredictionRequest getBatchPredictionRequest,
                                                       AsyncHandler<GetBatchPredictionRequest,GetBatchPredictionResult> asyncHandler)
                                                         throws AmazonServiceException,
                                                                AmazonClientException
```
    Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
    
    Specified by:
    
    getBatchPredictionAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    getBatchPredictionRequest - Container for the necessary parameters to execute the GetBatchPrediction operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the GetBatchPrediction service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createEvaluationAsync
```
public Future<CreateEvaluationResult> createEvaluationAsync(CreateEvaluationRequest createEvaluationRequest)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    Creates a new Evaluation of an MLModel . An MLModel is evaluated on a set of observations associated to a DataSource . Like a DataSource for an MLModel , the DataSource for an Evaluation contains values for the Target Variable. The Evaluation compares the predicted result for each observation to the actual outcome and provides a summary so that you know how effective the MLModel functions on the test data. Evaluation generates a relevant performance metric such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore based on the corresponding MLModelType : BINARY , REGRESSION or MULTICLASS .
    
    CreateEvaluation is an asynchronous operation. In response to CreateEvaluation , Amazon Machine Learning (Amazon ML) immediately returns and sets the evaluation status to PENDING . After the Evaluation is created and ready for use, Amazon ML sets the status to COMPLETED .
    
    You can use the GetEvaluation operation to check progress of the evaluation during the creation operation.
    
    Specified by:
    
    createEvaluationAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createEvaluationRequest - Container for the necessary parameters to execute the CreateEvaluation operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the CreateEvaluation service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - createEvaluationAsync
```
public Future<CreateEvaluationResult> createEvaluationAsync(CreateEvaluationRequest createEvaluationRequest,
                                                   AsyncHandler<CreateEvaluationRequest,CreateEvaluationResult> asyncHandler)
                                                     throws AmazonServiceException,
                                                            AmazonClientException
```
    Creates a new Evaluation of an MLModel . An MLModel is evaluated on a set of observations associated to a DataSource . Like a DataSource for an MLModel , the DataSource for an Evaluation contains values for the Target Variable. The Evaluation compares the predicted result for each observation to the actual outcome and provides a summary so that you know how effective the MLModel functions on the test data. Evaluation generates a relevant performance metric such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore based on the corresponding MLModelType : BINARY , REGRESSION or MULTICLASS .
    
    CreateEvaluation is an asynchronous operation. In response to CreateEvaluation , Amazon Machine Learning (Amazon ML) immediately returns and sets the evaluation status to PENDING . After the Evaluation is created and ready for use, Amazon ML sets the status to COMPLETED .
    
    You can use the GetEvaluation operation to check progress of the evaluation during the creation operation.
    
    Specified by:
    
    createEvaluationAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    createEvaluationRequest - Container for the necessary parameters to execute the CreateEvaluation operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the CreateEvaluation service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - deleteRealtimeEndpointAsync
```
public Future<DeleteRealtimeEndpointResult> deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest)
                                                                 throws AmazonServiceException,
                                                                        AmazonClientException
```
    Deletes a real time endpoint of an MLModel .
    
    Specified by:
    
    deleteRealtimeEndpointAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    deleteRealtimeEndpointRequest - Container for the necessary parameters to execute the DeleteRealtimeEndpoint operation on AmazonMachineLearning.
    
    Returns:
    A Java Future object containing the response from the DeleteRealtimeEndpoint service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.
  - deleteRealtimeEndpointAsync
```
public Future<DeleteRealtimeEndpointResult> deleteRealtimeEndpointAsync(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest,
                                                               AsyncHandler<DeleteRealtimeEndpointRequest,DeleteRealtimeEndpointResult> asyncHandler)
                                                                 throws AmazonServiceException,
                                                                        AmazonClientException
```
    Deletes a real time endpoint of an MLModel .
    
    Specified by:
    
    deleteRealtimeEndpointAsync in interface AmazonMachineLearningAsync
    
    Parameters:
    deleteRealtimeEndpointRequest - Container for the necessary parameters to execute the DeleteRealtimeEndpoint operation on AmazonMachineLearning.
    asyncHandler - Asynchronous callback handler for events in the life-cycle of the request. Users could provide the implementation of the four callback methods in this interface to process the operation result or handle the exception.
    
    Returns:
    A Java Future object containing the response from the DeleteRealtimeEndpoint service method, as returned by AmazonMachineLearning.
    
    Throws:
    
    AmazonClientException - If any internal errors are encountered inside the client while attempting to make the request or handle the response. For example if a network connection is not available.
    
    AmazonServiceException - If an error response is returned by AmazonMachineLearning indicating either a problem with the data in the request, or a server side issue.

Class AmazonMachineLearningAsyncClient

Field Summary

Fields inherited from class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Fields inherited from class com.amazonaws.AmazonWebServiceClient

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.services.machinelearning.AmazonMachineLearningClient

Methods inherited from class com.amazonaws.AmazonWebServiceClient

Methods inherited from class java.lang.Object

Methods inherited from interface com.amazonaws.services.machinelearning.AmazonMachineLearning

Constructor Detail

AmazonMachineLearningAsyncClient

AmazonMachineLearningAsyncClient

AmazonMachineLearningAsyncClient

AmazonMachineLearningAsyncClient

AmazonMachineLearningAsyncClient

AmazonMachineLearningAsyncClient

AmazonMachineLearningAsyncClient

AmazonMachineLearningAsyncClient

AmazonMachineLearningAsyncClient

Method Detail

getExecutorService

shutdown

updateEvaluationAsync

updateEvaluationAsync

createMLModelAsync

createMLModelAsync

createRealtimeEndpointAsync

createRealtimeEndpointAsync

createDataSourceFromS3Async

createDataSourceFromS3Async

deleteMLModelAsync

deleteMLModelAsync

predictAsync

predictAsync

describeBatchPredictionsAsync

describeBatchPredictionsAsync

getEvaluationAsync

getEvaluationAsync

updateMLModelAsync

updateMLModelAsync

getDataSourceAsync

getDataSourceAsync

describeDataSourcesAsync

describeDataSourcesAsync

deleteEvaluationAsync

deleteEvaluationAsync

updateBatchPredictionAsync

updateBatchPredictionAsync

createBatchPredictionAsync

createBatchPredictionAsync

describeMLModelsAsync

describeMLModelsAsync

deleteBatchPredictionAsync

deleteBatchPredictionAsync

updateDataSourceAsync

updateDataSourceAsync

createDataSourceFromRDSAsync

createDataSourceFromRDSAsync

createDataSourceFromRedshiftAsync

createDataSourceFromRedshiftAsync

describeEvaluationsAsync

describeEvaluationsAsync

getMLModelAsync

getMLModelAsync

deleteDataSourceAsync

deleteDataSourceAsync

getBatchPredictionAsync

getBatchPredictionAsync

createEvaluationAsync

createEvaluationAsync

deleteRealtimeEndpointAsync

deleteRealtimeEndpointAsync