MachineLearningAsyncClient (AWS SDK for Java

All Superinterfaces:

AutoCloseable, SdkAutoCloseable, SdkClient
```
@Generated(value="software.amazon.awssdk:codegen")
public interface MachineLearningAsyncClient
extends SdkClient, SdkAutoCloseable
```
Service client for accessing null asynchronously. This can be created using the static builder() method. Definition of the public APIs exposed by Amazon Machine Learning

Field Summary

Fields
Modifier and Type Field and Description

static String SERVICE_NAME

Fields
Modifier and Type	Field and Description
`static String`	`SERVICE_NAME`

Method Summary

All Methods Static Methods Instance Methods Default Methods
Modifier and Type	Method and Description
`default CompletableFuture<AddTagsResponse>`	`addTags(AddTagsRequest addTagsRequest)` Adds one or more tags to an object, up to a limit of 10.
`default CompletableFuture<AddTagsResponse>`	`addTags(Consumer<AddTagsRequest.Builder> addTagsRequest)` Adds one or more tags to an object, up to a limit of 10.
`static MachineLearningAsyncClientBuilder`	`builder()` Create a builder that can be used to configure and create a `MachineLearningAsyncClient`.
`static MachineLearningAsyncClient`	`create()` Create a `MachineLearningAsyncClient` with the region loaded from the `DefaultAwsRegionProviderChain` and credentials loaded from the `DefaultCredentialsProvider`.
`default CompletableFuture<CreateBatchPredictionResponse>`	`createBatchPrediction(Consumer<CreateBatchPredictionRequest.Builder> createBatchPredictionRequest)` Generates predictions for a group of observations.
`default CompletableFuture<CreateBatchPredictionResponse>`	`createBatchPrediction(CreateBatchPredictionRequest createBatchPredictionRequest)` Generates predictions for a group of observations.
`default CompletableFuture<CreateDataSourceFromRDSResponse>`	`createDataSourceFromRDS(Consumer<CreateDataSourceFromRDSRequest.Builder> createDataSourceFromRDSRequest)` Creates a `DataSource` object from an Amazon Relational Database Service (Amazon RDS).
`default CompletableFuture<CreateDataSourceFromRDSResponse>`	`createDataSourceFromRDS(CreateDataSourceFromRDSRequest createDataSourceFromRDSRequest)` Creates a `DataSource` object from an Amazon Relational Database Service (Amazon RDS).
`default CompletableFuture<CreateDataSourceFromRedshiftResponse>`	`createDataSourceFromRedshift(Consumer<CreateDataSourceFromRedshiftRequest.Builder> createDataSourceFromRedshiftRequest)` Creates a `DataSource` from a database hosted on an Amazon Redshift cluster.
`default CompletableFuture<CreateDataSourceFromRedshiftResponse>`	`createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest)` Creates a `DataSource` from a database hosted on an Amazon Redshift cluster.
`default CompletableFuture<CreateDataSourceFromS3Response>`	`createDataSourceFromS3(Consumer<CreateDataSourceFromS3Request.Builder> createDataSourceFromS3Request)` Creates a `DataSource` object.
`default CompletableFuture<CreateDataSourceFromS3Response>`	`createDataSourceFromS3(CreateDataSourceFromS3Request createDataSourceFromS3Request)` Creates a `DataSource` object.
`default CompletableFuture<CreateEvaluationResponse>`	`createEvaluation(Consumer<CreateEvaluationRequest.Builder> createEvaluationRequest)` Creates a new `Evaluation` of an `MLModel`.
`default CompletableFuture<CreateEvaluationResponse>`	`createEvaluation(CreateEvaluationRequest createEvaluationRequest)` Creates a new `Evaluation` of an `MLModel`.
`default CompletableFuture<CreateMLModelResponse>`	`createMLModel(Consumer<CreateMLModelRequest.Builder> createMLModelRequest)` Creates a new `MLModel` using the `DataSource` and the recipe as information sources.
`default CompletableFuture<CreateMLModelResponse>`	`createMLModel(CreateMLModelRequest createMLModelRequest)` Creates a new `MLModel` using the `DataSource` and the recipe as information sources.
`default CompletableFuture<CreateRealtimeEndpointResponse>`	`createRealtimeEndpoint(Consumer<CreateRealtimeEndpointRequest.Builder> createRealtimeEndpointRequest)` Creates a real-time endpoint for the `MLModel`.
`default CompletableFuture<CreateRealtimeEndpointResponse>`	`createRealtimeEndpoint(CreateRealtimeEndpointRequest createRealtimeEndpointRequest)` Creates a real-time endpoint for the `MLModel`.
`default CompletableFuture<DeleteBatchPredictionResponse>`	`deleteBatchPrediction(Consumer<DeleteBatchPredictionRequest.Builder> deleteBatchPredictionRequest)` Assigns the DELETED status to a `BatchPrediction`, rendering it unusable.
`default CompletableFuture<DeleteBatchPredictionResponse>`	`deleteBatchPrediction(DeleteBatchPredictionRequest deleteBatchPredictionRequest)` Assigns the DELETED status to a `BatchPrediction`, rendering it unusable.
`default CompletableFuture<DeleteDataSourceResponse>`	`deleteDataSource(Consumer<DeleteDataSourceRequest.Builder> deleteDataSourceRequest)` Assigns the DELETED status to a `DataSource`, rendering it unusable.
`default CompletableFuture<DeleteDataSourceResponse>`	`deleteDataSource(DeleteDataSourceRequest deleteDataSourceRequest)` Assigns the DELETED status to a `DataSource`, rendering it unusable.
`default CompletableFuture<DeleteEvaluationResponse>`	`deleteEvaluation(Consumer<DeleteEvaluationRequest.Builder> deleteEvaluationRequest)` Assigns the `DELETED` status to an `Evaluation`, rendering it unusable.
`default CompletableFuture<DeleteEvaluationResponse>`	`deleteEvaluation(DeleteEvaluationRequest deleteEvaluationRequest)` Assigns the `DELETED` status to an `Evaluation`, rendering it unusable.
`default CompletableFuture<DeleteMLModelResponse>`	`deleteMLModel(Consumer<DeleteMLModelRequest.Builder> deleteMLModelRequest)` Assigns the `DELETED` status to an `MLModel`, rendering it unusable.
`default CompletableFuture<DeleteMLModelResponse>`	`deleteMLModel(DeleteMLModelRequest deleteMLModelRequest)` Assigns the `DELETED` status to an `MLModel`, rendering it unusable.
`default CompletableFuture<DeleteRealtimeEndpointResponse>`	`deleteRealtimeEndpoint(Consumer<DeleteRealtimeEndpointRequest.Builder> deleteRealtimeEndpointRequest)` Deletes a real time endpoint of an `MLModel`.
`default CompletableFuture<DeleteRealtimeEndpointResponse>`	`deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest)` Deletes a real time endpoint of an `MLModel`.
`default CompletableFuture<DeleteTagsResponse>`	`deleteTags(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest)` Deletes the specified tags associated with an ML object.
`default CompletableFuture<DeleteTagsResponse>`	`deleteTags(DeleteTagsRequest deleteTagsRequest)` Deletes the specified tags associated with an ML object.
`default CompletableFuture<DescribeBatchPredictionsResponse>`	`describeBatchPredictions()` Returns a list of `BatchPrediction` operations that match the search criteria in the request.
`default CompletableFuture<DescribeBatchPredictionsResponse>`	`describeBatchPredictions(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)` Returns a list of `BatchPrediction` operations that match the search criteria in the request.
`default CompletableFuture<DescribeBatchPredictionsResponse>`	`describeBatchPredictions(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)` Returns a list of `BatchPrediction` operations that match the search criteria in the request.
`default DescribeBatchPredictionsPublisher`	`describeBatchPredictionsPaginator()` Returns a list of `BatchPrediction` operations that match the search criteria in the request.
`default DescribeBatchPredictionsPublisher`	`describeBatchPredictionsPaginator(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)` Returns a list of `BatchPrediction` operations that match the search criteria in the request.
`default CompletableFuture<DescribeDataSourcesResponse>`	`describeDataSources()` Returns a list of `DataSource` that match the search criteria in the request.
`default CompletableFuture<DescribeDataSourcesResponse>`	`describeDataSources(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)` Returns a list of `DataSource` that match the search criteria in the request.
`default CompletableFuture<DescribeDataSourcesResponse>`	`describeDataSources(DescribeDataSourcesRequest describeDataSourcesRequest)` Returns a list of `DataSource` that match the search criteria in the request.
`default DescribeDataSourcesPublisher`	`describeDataSourcesPaginator()` Returns a list of `DataSource` that match the search criteria in the request.
`default DescribeDataSourcesPublisher`	`describeDataSourcesPaginator(DescribeDataSourcesRequest describeDataSourcesRequest)` Returns a list of `DataSource` that match the search criteria in the request.
`default CompletableFuture<DescribeEvaluationsResponse>`	`describeEvaluations()` Returns a list of `DescribeEvaluations` that match the search criteria in the request.
`default CompletableFuture<DescribeEvaluationsResponse>`	`describeEvaluations(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)` Returns a list of `DescribeEvaluations` that match the search criteria in the request.
`default CompletableFuture<DescribeEvaluationsResponse>`	`describeEvaluations(DescribeEvaluationsRequest describeEvaluationsRequest)` Returns a list of `DescribeEvaluations` that match the search criteria in the request.
`default DescribeEvaluationsPublisher`	`describeEvaluationsPaginator()` Returns a list of `DescribeEvaluations` that match the search criteria in the request.
`default DescribeEvaluationsPublisher`	`describeEvaluationsPaginator(DescribeEvaluationsRequest describeEvaluationsRequest)` Returns a list of `DescribeEvaluations` that match the search criteria in the request.
`default CompletableFuture<DescribeMLModelsResponse>`	`describeMLModels()` Returns a list of `MLModel` that match the search criteria in the request.
`default CompletableFuture<DescribeMLModelsResponse>`	`describeMLModels(Consumer<DescribeMLModelsRequest.Builder> describeMLModelsRequest)` Returns a list of `MLModel` that match the search criteria in the request.
`default CompletableFuture<DescribeMLModelsResponse>`	`describeMLModels(DescribeMLModelsRequest describeMLModelsRequest)` Returns a list of `MLModel` that match the search criteria in the request.
`default DescribeMLModelsPublisher`	`describeMLModelsPaginator()` Returns a list of `MLModel` that match the search criteria in the request.
`default DescribeMLModelsPublisher`	`describeMLModelsPaginator(DescribeMLModelsRequest describeMLModelsRequest)` Returns a list of `MLModel` that match the search criteria in the request.
`default CompletableFuture<DescribeTagsResponse>`	`describeTags(Consumer<DescribeTagsRequest.Builder> describeTagsRequest)` Describes one or more of the tags for your Amazon ML object.
`default CompletableFuture<DescribeTagsResponse>`	`describeTags(DescribeTagsRequest describeTagsRequest)` Describes one or more of the tags for your Amazon ML object.
`default CompletableFuture<GetBatchPredictionResponse>`	`getBatchPrediction(Consumer<GetBatchPredictionRequest.Builder> getBatchPredictionRequest)` Returns a `BatchPrediction` that includes detailed metadata, status, and data file information for a `Batch Prediction` request.
`default CompletableFuture<GetBatchPredictionResponse>`	`getBatchPrediction(GetBatchPredictionRequest getBatchPredictionRequest)` Returns a `BatchPrediction` that includes detailed metadata, status, and data file information for a `Batch Prediction` request.
`default CompletableFuture<GetDataSourceResponse>`	`getDataSource(Consumer<GetDataSourceRequest.Builder> getDataSourceRequest)` Returns a `DataSource` that includes metadata and data file information, as well as the current status of the `DataSource`.
`default CompletableFuture<GetDataSourceResponse>`	`getDataSource(GetDataSourceRequest getDataSourceRequest)` Returns a `DataSource` that includes metadata and data file information, as well as the current status of the `DataSource`.
`default CompletableFuture<GetEvaluationResponse>`	`getEvaluation(Consumer<GetEvaluationRequest.Builder> getEvaluationRequest)` Returns an `Evaluation` that includes metadata as well as the current status of the `Evaluation`.
`default CompletableFuture<GetEvaluationResponse>`	`getEvaluation(GetEvaluationRequest getEvaluationRequest)` Returns an `Evaluation` that includes metadata as well as the current status of the `Evaluation`.
`default CompletableFuture<GetMLModelResponse>`	`getMLModel(Consumer<GetMLModelRequest.Builder> getMLModelRequest)` Returns an `MLModel` that includes detailed metadata, data source information, and the current status of the `MLModel`.
`default CompletableFuture<GetMLModelResponse>`	`getMLModel(GetMLModelRequest getMLModelRequest)` Returns an `MLModel` that includes detailed metadata, data source information, and the current status of the `MLModel`.
`default CompletableFuture<PredictResponse>`	`predict(Consumer<PredictRequest.Builder> predictRequest)` Generates a prediction for the observation using the specified `ML Model`.
`default CompletableFuture<PredictResponse>`	`predict(PredictRequest predictRequest)` Generates a prediction for the observation using the specified `ML Model`.
`default CompletableFuture<UpdateBatchPredictionResponse>`	`updateBatchPrediction(Consumer<UpdateBatchPredictionRequest.Builder> updateBatchPredictionRequest)` Updates the `BatchPredictionName` of a `BatchPrediction`.
`default CompletableFuture<UpdateBatchPredictionResponse>`	`updateBatchPrediction(UpdateBatchPredictionRequest updateBatchPredictionRequest)` Updates the `BatchPredictionName` of a `BatchPrediction`.
`default CompletableFuture<UpdateDataSourceResponse>`	`updateDataSource(Consumer<UpdateDataSourceRequest.Builder> updateDataSourceRequest)` Updates the `DataSourceName` of a `DataSource`.
`default CompletableFuture<UpdateDataSourceResponse>`	`updateDataSource(UpdateDataSourceRequest updateDataSourceRequest)` Updates the `DataSourceName` of a `DataSource`.
`default CompletableFuture<UpdateEvaluationResponse>`	`updateEvaluation(Consumer<UpdateEvaluationRequest.Builder> updateEvaluationRequest)` Updates the `EvaluationName` of an `Evaluation`.
`default CompletableFuture<UpdateEvaluationResponse>`	`updateEvaluation(UpdateEvaluationRequest updateEvaluationRequest)` Updates the `EvaluationName` of an `Evaluation`.
`default CompletableFuture<UpdateMLModelResponse>`	`updateMLModel(Consumer<UpdateMLModelRequest.Builder> updateMLModelRequest)` Updates the `MLModelName` and the `ScoreThreshold` of an `MLModel`.
`default CompletableFuture<UpdateMLModelResponse>`	`updateMLModel(UpdateMLModelRequest updateMLModelRequest)` Updates the `MLModelName` and the `ScoreThreshold` of an `MLModel`.

Methods inherited from interface software.amazon.awssdk.core.SdkClient
serviceName

Methods inherited from interface software.amazon.awssdk.utils.SdkAutoCloseable
close

- Field Detail
  - SERVICE_NAME
```
static final String SERVICE_NAME
```
    See Also:
    
    Constant Field Values
- Method Detail
  - create
```
static MachineLearningAsyncClient create()
```
    Create a MachineLearningAsyncClient with the region loaded from the DefaultAwsRegionProviderChain and credentials loaded from the DefaultCredentialsProvider.
  - builder
```
static MachineLearningAsyncClientBuilder builder()
```
    Create a builder that can be used to configure and create a MachineLearningAsyncClient.
  - addTags
```
default CompletableFuture<AddTagsResponse> addTags(AddTagsRequest addTagsRequest)
```
    Adds one or more tags to an object, up to a limit of 10. Each tag consists of a key and an optional value. If you add a tag using a key that is already associated with the ML object, AddTags updates the tag's value.
    Parameters:
    
    addTagsRequest -
    
    Returns:
    A Java Future containing the result of the AddTags operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InvalidTagException
    
    TagLimitExceededException
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - addTags
```
default CompletableFuture<AddTagsResponse> addTags(Consumer<AddTagsRequest.Builder> addTagsRequest)
```
    Adds one or more tags to an object, up to a limit of 10. Each tag consists of a key and an optional value. If you add a tag using a key that is already associated with the ML object, AddTags updates the tag's value.
    
    This is a convenience which creates an instance of the AddTagsRequest.Builder avoiding the need to create one manually via AddTagsRequest.builder()
    Parameters:
    
    addTagsRequest - A Consumer that will call methods on AddTagsInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the AddTags operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InvalidTagException
    
    TagLimitExceededException
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createBatchPrediction
```
default CompletableFuture<CreateBatchPredictionResponse> createBatchPrediction(CreateBatchPredictionRequest createBatchPredictionRequest)
```
    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.
    Parameters:
    
    createBatchPredictionRequest -
    
    Returns:
    A Java Future containing the result of the CreateBatchPrediction operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createBatchPrediction
```
default CompletableFuture<CreateBatchPredictionResponse> createBatchPrediction(Consumer<CreateBatchPredictionRequest.Builder> createBatchPredictionRequest)
```
    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.
    
    This is a convenience which creates an instance of the CreateBatchPredictionRequest.Builder avoiding the need to create one manually via CreateBatchPredictionRequest.builder()
    Parameters:
    
    createBatchPredictionRequest - A Consumer that will call methods on CreateBatchPredictionInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the CreateBatchPrediction operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createDataSourceFromRDS
```
default CompletableFuture<CreateDataSourceFromRDSResponse> createDataSourceFromRDS(CreateDataSourceFromRDSRequest createDataSourceFromRDSRequest)
```
    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 the COMPLETED or PENDING state can be used only 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.
    Parameters:
    
    createDataSourceFromRDSRequest -
    
    Returns:
    A Java Future containing the result of the CreateDataSourceFromRDS operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createDataSourceFromRDS
```
default CompletableFuture<CreateDataSourceFromRDSResponse> createDataSourceFromRDS(Consumer<CreateDataSourceFromRDSRequest.Builder> createDataSourceFromRDSRequest)
```
    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 the COMPLETED or PENDING state can be used only 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.
    
    This is a convenience which creates an instance of the CreateDataSourceFromRDSRequest.Builder avoiding the need to create one manually via CreateDataSourceFromRDSRequest.builder()
    Parameters:
    
    createDataSourceFromRDSRequest - A Consumer that will call methods on CreateDataSourceFromRDSInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the CreateDataSourceFromRDS operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createDataSourceFromRedshift
```
default CompletableFuture<CreateDataSourceFromRedshiftResponse> createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest)
```
    Creates a DataSource from a database hosted on an Amazon Redshift cluster. 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 states can be used to perform only CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
    
    If Amazon ML can't 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 be contained in the database hosted on an Amazon Redshift cluster and should be specified by a SelectSqlQuery query. Amazon ML executes an Unload command in Amazon Redshift to transfer the result set of the SelectSqlQuery query to S3StagingLocation.
    
    After the DataSource has been created, it's ready for use in evaluations and batch predictions. If you plan to use the DataSource to train an MLModel, the DataSource also requires a recipe. A recipe describes how each input variable will be used in training an MLModel. Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it be combined with another variable or will it be split apart into word combinations? The recipe provides answers to these questions.
    
    You can't change an existing datasource, but you can copy and modify the settings from an existing Amazon Redshift datasource to create a new datasource. To do so, call GetDataSource for an existing datasource and copy the values to a CreateDataSource call. Change the settings that you want to change and make sure that all required fields have the appropriate values.
    Parameters:
    
    createDataSourceFromRedshiftRequest -
    
    Returns:
    A Java Future containing the result of the CreateDataSourceFromRedshift operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createDataSourceFromRedshift
```
default CompletableFuture<CreateDataSourceFromRedshiftResponse> createDataSourceFromRedshift(Consumer<CreateDataSourceFromRedshiftRequest.Builder> createDataSourceFromRedshiftRequest)
```
    Creates a DataSource from a database hosted on an Amazon Redshift cluster. 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 states can be used to perform only CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
    
    If Amazon ML can't 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 be contained in the database hosted on an Amazon Redshift cluster and should be specified by a SelectSqlQuery query. Amazon ML executes an Unload command in Amazon Redshift to transfer the result set of the SelectSqlQuery query to S3StagingLocation.
    
    After the DataSource has been created, it's ready for use in evaluations and batch predictions. If you plan to use the DataSource to train an MLModel, the DataSource also requires a recipe. A recipe describes how each input variable will be used in training an MLModel. Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it be combined with another variable or will it be split apart into word combinations? The recipe provides answers to these questions.
    
    You can't change an existing datasource, but you can copy and modify the settings from an existing Amazon Redshift datasource to create a new datasource. To do so, call GetDataSource for an existing datasource and copy the values to a CreateDataSource call. Change the settings that you want to change and make sure that all required fields have the appropriate values.
    
    This is a convenience which creates an instance of the CreateDataSourceFromRedshiftRequest.Builder avoiding the need to create one manually via CreateDataSourceFromRedshiftRequest.builder()
    Parameters:
    
    createDataSourceFromRedshiftRequest - A Consumer that will call methods on CreateDataSourceFromRedshiftInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the CreateDataSourceFromRedshift operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createDataSourceFromS3
```
default CompletableFuture<CreateDataSourceFromS3Response> createDataSourceFromS3(CreateDataSourceFromS3Request createDataSourceFromS3Request)
```
    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 has been created and is ready for use, Amazon ML sets the Status parameter to COMPLETED. DataSource in the COMPLETED or PENDING state can be used to perform only CreateMLModel, CreateEvaluation or CreateBatchPrediction operations.
    
    If Amazon ML can't 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) location, 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 also needs a recipe. A recipe describes how each input variable will be used in training an MLModel. Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it be combined with another variable or will it be split apart into word combinations? The recipe provides answers to these questions.
    Parameters:
    
    createDataSourceFromS3Request -
    
    Returns:
    A Java Future containing the result of the CreateDataSourceFromS3 operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createDataSourceFromS3
```
default CompletableFuture<CreateDataSourceFromS3Response> createDataSourceFromS3(Consumer<CreateDataSourceFromS3Request.Builder> createDataSourceFromS3Request)
```
    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 has been created and is ready for use, Amazon ML sets the Status parameter to COMPLETED. DataSource in the COMPLETED or PENDING state can be used to perform only CreateMLModel, CreateEvaluation or CreateBatchPrediction operations.
    
    If Amazon ML can't 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) location, 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 also needs a recipe. A recipe describes how each input variable will be used in training an MLModel. Will the variable be included or excluded from training? Will the variable be manipulated; for example, will it be combined with another variable or will it be split apart into word combinations? The recipe provides answers to these questions.
    
    This is a convenience which creates an instance of the CreateDataSourceFromS3Request.Builder avoiding the need to create one manually via CreateDataSourceFromS3Request.builder()
    Parameters:
    
    createDataSourceFromS3Request - A Consumer that will call methods on CreateDataSourceFromS3Input.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the CreateDataSourceFromS3 operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createEvaluation
```
default CompletableFuture<CreateEvaluationResponse> createEvaluation(CreateEvaluationRequest createEvaluationRequest)
```
    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.
    Parameters:
    
    createEvaluationRequest -
    
    Returns:
    A Java Future containing the result of the CreateEvaluation operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createEvaluation
```
default CompletableFuture<CreateEvaluationResponse> createEvaluation(Consumer<CreateEvaluationRequest.Builder> createEvaluationRequest)
```
    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.
    
    This is a convenience which creates an instance of the CreateEvaluationRequest.Builder avoiding the need to create one manually via CreateEvaluationRequest.builder()
    Parameters:
    
    createEvaluationRequest - A Consumer that will call methods on CreateEvaluationInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the CreateEvaluation operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createMLModel
```
default CompletableFuture<CreateMLModelResponse> createMLModel(CreateMLModelRequest createMLModelRequest)
```
    Creates a new MLModel using the DataSource and the recipe as information sources.
    
    An MLModel is nearly immutable. Users can update only 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 has been created and ready is for use, Amazon ML sets the status to COMPLETED.
    
    You can use the GetMLModel operation to check the 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.
    Parameters:
    
    createMLModelRequest -
    
    Returns:
    A Java Future containing the result of the CreateMLModel operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createMLModel
```
default CompletableFuture<CreateMLModelResponse> createMLModel(Consumer<CreateMLModelRequest.Builder> createMLModelRequest)
```
    Creates a new MLModel using the DataSource and the recipe as information sources.
    
    An MLModel is nearly immutable. Users can update only 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 has been created and ready is for use, Amazon ML sets the status to COMPLETED.
    
    You can use the GetMLModel operation to check the 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.
    
    This is a convenience which creates an instance of the CreateMLModelRequest.Builder avoiding the need to create one manually via CreateMLModelRequest.builder()
    Parameters:
    
    createMLModelRequest - A Consumer that will call methods on CreateMLModelInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the CreateMLModel operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    IdempotentParameterMismatchException A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createRealtimeEndpoint
```
default CompletableFuture<CreateRealtimeEndpointResponse> createRealtimeEndpoint(CreateRealtimeEndpointRequest createRealtimeEndpointRequest)
```
    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.
    Parameters:
    
    createRealtimeEndpointRequest -
    
    Returns:
    A Java Future containing the result of the CreateRealtimeEndpoint operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - createRealtimeEndpoint
```
default CompletableFuture<CreateRealtimeEndpointResponse> createRealtimeEndpoint(Consumer<CreateRealtimeEndpointRequest.Builder> createRealtimeEndpointRequest)
```
    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.
    
    This is a convenience which creates an instance of the CreateRealtimeEndpointRequest.Builder avoiding the need to create one manually via CreateRealtimeEndpointRequest.builder()
    Parameters:
    
    createRealtimeEndpointRequest - A Consumer that will call methods on CreateRealtimeEndpointInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the CreateRealtimeEndpoint operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteBatchPrediction
```
default CompletableFuture<DeleteBatchPredictionResponse> deleteBatchPrediction(DeleteBatchPredictionRequest deleteBatchPredictionRequest)
```
    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.
    Parameters:
    
    deleteBatchPredictionRequest -
    
    Returns:
    A Java Future containing the result of the DeleteBatchPrediction operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteBatchPrediction
```
default CompletableFuture<DeleteBatchPredictionResponse> deleteBatchPrediction(Consumer<DeleteBatchPredictionRequest.Builder> deleteBatchPredictionRequest)
```
    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.
    
    This is a convenience which creates an instance of the DeleteBatchPredictionRequest.Builder avoiding the need to create one manually via DeleteBatchPredictionRequest.builder()
    Parameters:
    
    deleteBatchPredictionRequest - A Consumer that will call methods on DeleteBatchPredictionInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the DeleteBatchPrediction operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteDataSource
```
default CompletableFuture<DeleteDataSourceResponse> deleteDataSource(DeleteDataSourceRequest deleteDataSourceRequest)
```
    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.
    Parameters:
    
    deleteDataSourceRequest -
    
    Returns:
    A Java Future containing the result of the DeleteDataSource operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteDataSource
```
default CompletableFuture<DeleteDataSourceResponse> deleteDataSource(Consumer<DeleteDataSourceRequest.Builder> deleteDataSourceRequest)
```
    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.
    
    This is a convenience which creates an instance of the DeleteDataSourceRequest.Builder avoiding the need to create one manually via DeleteDataSourceRequest.builder()
    Parameters:
    
    deleteDataSourceRequest - A Consumer that will call methods on DeleteDataSourceInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the DeleteDataSource operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteEvaluation
```
default CompletableFuture<DeleteEvaluationResponse> deleteEvaluation(DeleteEvaluationRequest deleteEvaluationRequest)
```
    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.
    Parameters:
    
    deleteEvaluationRequest -
    
    Returns:
    A Java Future containing the result of the DeleteEvaluation operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteEvaluation
```
default CompletableFuture<DeleteEvaluationResponse> deleteEvaluation(Consumer<DeleteEvaluationRequest.Builder> deleteEvaluationRequest)
```
    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.
    
    This is a convenience which creates an instance of the DeleteEvaluationRequest.Builder avoiding the need to create one manually via DeleteEvaluationRequest.builder()
    Parameters:
    
    deleteEvaluationRequest - A Consumer that will call methods on DeleteEvaluationInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the DeleteEvaluation operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteMLModel
```
default CompletableFuture<DeleteMLModelResponse> deleteMLModel(DeleteMLModelRequest deleteMLModelRequest)
```
    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.
    Parameters:
    
    deleteMLModelRequest -
    
    Returns:
    A Java Future containing the result of the DeleteMLModel operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteMLModel
```
default CompletableFuture<DeleteMLModelResponse> deleteMLModel(Consumer<DeleteMLModelRequest.Builder> deleteMLModelRequest)
```
    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.
    
    This is a convenience which creates an instance of the DeleteMLModelRequest.Builder avoiding the need to create one manually via DeleteMLModelRequest.builder()
    Parameters:
    
    deleteMLModelRequest - A Consumer that will call methods on DeleteMLModelInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the DeleteMLModel operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteRealtimeEndpoint
```
default CompletableFuture<DeleteRealtimeEndpointResponse> deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest)
```
    Deletes a real time endpoint of an MLModel.
    Parameters:
    
    deleteRealtimeEndpointRequest -
    
    Returns:
    A Java Future containing the result of the DeleteRealtimeEndpoint operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteRealtimeEndpoint
```
default CompletableFuture<DeleteRealtimeEndpointResponse> deleteRealtimeEndpoint(Consumer<DeleteRealtimeEndpointRequest.Builder> deleteRealtimeEndpointRequest)
```
    Deletes a real time endpoint of an MLModel.
    
    This is a convenience which creates an instance of the DeleteRealtimeEndpointRequest.Builder avoiding the need to create one manually via DeleteRealtimeEndpointRequest.builder()
    Parameters:
    
    deleteRealtimeEndpointRequest - A Consumer that will call methods on DeleteRealtimeEndpointInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the DeleteRealtimeEndpoint operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteTags
```
default CompletableFuture<DeleteTagsResponse> deleteTags(DeleteTagsRequest deleteTagsRequest)
```
    Deletes the specified tags associated with an ML object. After this operation is complete, you can't recover deleted tags.
    
    If you specify a tag that doesn't exist, Amazon ML ignores it.
    Parameters:
    
    deleteTagsRequest -
    
    Returns:
    A Java Future containing the result of the DeleteTags operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InvalidTagException
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - deleteTags
```
default CompletableFuture<DeleteTagsResponse> deleteTags(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest)
```
    Deletes the specified tags associated with an ML object. After this operation is complete, you can't recover deleted tags.
    
    If you specify a tag that doesn't exist, Amazon ML ignores it.
    
    This is a convenience which creates an instance of the DeleteTagsRequest.Builder avoiding the need to create one manually via DeleteTagsRequest.builder()
    Parameters:
    
    deleteTagsRequest - A Consumer that will call methods on DeleteTagsInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the DeleteTags operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InvalidTagException
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeBatchPredictions
```
default CompletableFuture<DescribeBatchPredictionsResponse> describeBatchPredictions(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)
```
    Returns a list of BatchPrediction operations that match the search criteria in the request.
    Parameters:
    
    describeBatchPredictionsRequest -
    
    Returns:
    A Java Future containing the result of the DescribeBatchPredictions operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeBatchPredictions
```
default CompletableFuture<DescribeBatchPredictionsResponse> describeBatchPredictions(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)
```
    Returns a list of BatchPrediction operations that match the search criteria in the request.
    
    This is a convenience which creates an instance of the DescribeBatchPredictionsRequest.Builder avoiding the need to create one manually via DescribeBatchPredictionsRequest.builder()
    Parameters:
    
    describeBatchPredictionsRequest - A Consumer that will call methods on DescribeBatchPredictionsInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the DescribeBatchPredictions operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeBatchPredictions
```
default CompletableFuture<DescribeBatchPredictionsResponse> describeBatchPredictions()
```
    Returns a list of BatchPrediction operations that match the search criteria in the request.
    Returns:
    A Java Future containing the result of the DescribeBatchPredictions operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeBatchPredictionsPaginator
```
default DescribeBatchPredictionsPublisher describeBatchPredictionsPaginator(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)
```
    Returns a list of BatchPrediction operations that match the search criteria in the request.
    
    This is a variant of describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.
    
    When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe method will result in a new Subscription i.e., a new contract to stream data from the starting request.
    
    The following are few ways to use the response class:
    1) Using the forEach helper method
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsPublisher publisher = client.describeBatchPredictionsPaginator(request);
 CompletableFuture<Void> future = publisher.forEach(res -> { // Do something with the response });
 future.get();
 
 
```
    2) Using a custom subscriber
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsPublisher publisher = client.describeBatchPredictionsPaginator(request);
 publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse>() {
 
 public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
 
 
 public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse response) { //... };
 });
 
```
    As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
    Note: If you prefer to have control on service calls, use the describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation.
    Parameters:
    
    describeBatchPredictionsRequest -
    
    Returns:
    A custom publisher that can be subscribed to request a stream of response pages.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeBatchPredictionsPaginator
```
default DescribeBatchPredictionsPublisher describeBatchPredictionsPaginator()
```
    Returns a list of BatchPrediction operations that match the search criteria in the request.
    
    This is a variant of describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.
    
    When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe method will result in a new Subscription i.e., a new contract to stream data from the starting request.
    
    The following are few ways to use the response class:
    1) Using the forEach helper method
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsPublisher publisher = client.describeBatchPredictionsPaginator(request);
 CompletableFuture<Void> future = publisher.forEach(res -> { // Do something with the response });
 future.get();
 
 
```
    2) Using a custom subscriber
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsPublisher publisher = client.describeBatchPredictionsPaginator(request);
 publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse>() {
 
 public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
 
 
 public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse response) { //... };
 });
 
```
    As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
    Note: If you prefer to have control on service calls, use the describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation.
    Returns:
    A custom publisher that can be subscribed to request a stream of response pages.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeDataSources
```
default CompletableFuture<DescribeDataSourcesResponse> describeDataSources(DescribeDataSourcesRequest describeDataSourcesRequest)
```
    Returns a list of DataSource that match the search criteria in the request.
    Parameters:
    
    describeDataSourcesRequest -
    
    Returns:
    A Java Future containing the result of the DescribeDataSources operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeDataSources
```
default CompletableFuture<DescribeDataSourcesResponse> describeDataSources(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)
```
    Returns a list of DataSource that match the search criteria in the request.
    
    This is a convenience which creates an instance of the DescribeDataSourcesRequest.Builder avoiding the need to create one manually via DescribeDataSourcesRequest.builder()
    Parameters:
    
    describeDataSourcesRequest - A Consumer that will call methods on DescribeDataSourcesInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the DescribeDataSources operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeDataSources
```
default CompletableFuture<DescribeDataSourcesResponse> describeDataSources()
```
    Returns a list of DataSource that match the search criteria in the request.
    Returns:
    A Java Future containing the result of the DescribeDataSources operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeDataSourcesPaginator
```
default DescribeDataSourcesPublisher describeDataSourcesPaginator(DescribeDataSourcesRequest describeDataSourcesRequest)
```
    Returns a list of DataSource that match the search criteria in the request.
    
    This is a variant of describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.
    
    When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe method will result in a new Subscription i.e., a new contract to stream data from the starting request.
    
    The following are few ways to use the response class:
    1) Using the forEach helper method
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesPublisher publisher = client.describeDataSourcesPaginator(request);
 CompletableFuture<Void> future = publisher.forEach(res -> { // Do something with the response });
 future.get();
 
 
```
    2) Using a custom subscriber
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesPublisher publisher = client.describeDataSourcesPaginator(request);
 publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse>() {
 
 public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
 
 
 public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse response) { //... };
 });
 
```
    As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
    Note: If you prefer to have control on service calls, use the describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation.
    Parameters:
    
    describeDataSourcesRequest -
    
    Returns:
    A custom publisher that can be subscribed to request a stream of response pages.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeDataSourcesPaginator
```
default DescribeDataSourcesPublisher describeDataSourcesPaginator()
```
    Returns a list of DataSource that match the search criteria in the request.
    
    This is a variant of describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.
    
    When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe method will result in a new Subscription i.e., a new contract to stream data from the starting request.
    
    The following are few ways to use the response class:
    1) Using the forEach helper method
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesPublisher publisher = client.describeDataSourcesPaginator(request);
 CompletableFuture<Void> future = publisher.forEach(res -> { // Do something with the response });
 future.get();
 
 
```
    2) Using a custom subscriber
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesPublisher publisher = client.describeDataSourcesPaginator(request);
 publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse>() {
 
 public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
 
 
 public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse response) { //... };
 });
 
```
    As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
    Note: If you prefer to have control on service calls, use the describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation.
    Returns:
    A custom publisher that can be subscribed to request a stream of response pages.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeEvaluations
```
default CompletableFuture<DescribeEvaluationsResponse> describeEvaluations(DescribeEvaluationsRequest describeEvaluationsRequest)
```
    Returns a list of DescribeEvaluations that match the search criteria in the request.
    Parameters:
    
    describeEvaluationsRequest -
    
    Returns:
    A Java Future containing the result of the DescribeEvaluations operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeEvaluations
```
default CompletableFuture<DescribeEvaluationsResponse> describeEvaluations(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)
```
    Returns a list of DescribeEvaluations that match the search criteria in the request.
    
    This is a convenience which creates an instance of the DescribeEvaluationsRequest.Builder avoiding the need to create one manually via DescribeEvaluationsRequest.builder()
    Parameters:
    
    describeEvaluationsRequest - A Consumer that will call methods on DescribeEvaluationsInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the DescribeEvaluations operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeEvaluations
```
default CompletableFuture<DescribeEvaluationsResponse> describeEvaluations()
```
    Returns a list of DescribeEvaluations that match the search criteria in the request.
    Returns:
    A Java Future containing the result of the DescribeEvaluations operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeEvaluationsPaginator
```
default DescribeEvaluationsPublisher describeEvaluationsPaginator(DescribeEvaluationsRequest describeEvaluationsRequest)
```
    Returns a list of DescribeEvaluations that match the search criteria in the request.
    
    This is a variant of describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.
    
    When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe method will result in a new Subscription i.e., a new contract to stream data from the starting request.
    
    The following are few ways to use the response class:
    1) Using the forEach helper method
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsPublisher publisher = client.describeEvaluationsPaginator(request);
 CompletableFuture<Void> future = publisher.forEach(res -> { // Do something with the response });
 future.get();
 
 
```
    2) Using a custom subscriber
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsPublisher publisher = client.describeEvaluationsPaginator(request);
 publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse>() {
 
 public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
 
 
 public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse response) { //... };
 });
 
```
    As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
    Note: If you prefer to have control on service calls, use the describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation.
    Parameters:
    
    describeEvaluationsRequest -
    
    Returns:
    A custom publisher that can be subscribed to request a stream of response pages.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeEvaluationsPaginator
```
default DescribeEvaluationsPublisher describeEvaluationsPaginator()
```
    Returns a list of DescribeEvaluations that match the search criteria in the request.
    
    This is a variant of describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.
    
    When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe method will result in a new Subscription i.e., a new contract to stream data from the starting request.
    
    The following are few ways to use the response class:
    1) Using the forEach helper method
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsPublisher publisher = client.describeEvaluationsPaginator(request);
 CompletableFuture<Void> future = publisher.forEach(res -> { // Do something with the response });
 future.get();
 
 
```
    2) Using a custom subscriber
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsPublisher publisher = client.describeEvaluationsPaginator(request);
 publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse>() {
 
 public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
 
 
 public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse response) { //... };
 });
 
```
    As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
    Note: If you prefer to have control on service calls, use the describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation.
    Returns:
    A custom publisher that can be subscribed to request a stream of response pages.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeMLModels
```
default CompletableFuture<DescribeMLModelsResponse> describeMLModels(DescribeMLModelsRequest describeMLModelsRequest)
```
    Returns a list of MLModel that match the search criteria in the request.
    Parameters:
    
    describeMLModelsRequest -
    
    Returns:
    A Java Future containing the result of the DescribeMLModels operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeMLModels
```
default CompletableFuture<DescribeMLModelsResponse> describeMLModels(Consumer<DescribeMLModelsRequest.Builder> describeMLModelsRequest)
```
    Returns a list of MLModel that match the search criteria in the request.
    
    This is a convenience which creates an instance of the DescribeMLModelsRequest.Builder avoiding the need to create one manually via DescribeMLModelsRequest.builder()
    Parameters:
    
    describeMLModelsRequest - A Consumer that will call methods on DescribeMLModelsInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the DescribeMLModels operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeMLModels
```
default CompletableFuture<DescribeMLModelsResponse> describeMLModels()
```
    Returns a list of MLModel that match the search criteria in the request.
    Returns:
    A Java Future containing the result of the DescribeMLModels operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeMLModelsPaginator
```
default DescribeMLModelsPublisher describeMLModelsPaginator(DescribeMLModelsRequest describeMLModelsRequest)
```
    Returns a list of MLModel that match the search criteria in the request.
    
    This is a variant of describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMLModelsRequest) operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.
    
    When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe method will result in a new Subscription i.e., a new contract to stream data from the starting request.
    
    The following are few ways to use the response class:
    1) Using the forEach helper method
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsPublisher publisher = client.describeMLModelsPaginator(request);
 CompletableFuture<Void> future = publisher.forEach(res -> { // Do something with the response });
 future.get();
 
 
```
    2) Using a custom subscriber
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsPublisher publisher = client.describeMLModelsPaginator(request);
 publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeMLModelsResponse>() {
 
 public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
 
 
 public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeMLModelsResponse response) { //... };
 });
 
```
    As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
    Note: If you prefer to have control on service calls, use the describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMLModelsRequest) operation.
    Parameters:
    
    describeMLModelsRequest -
    
    Returns:
    A custom publisher that can be subscribed to request a stream of response pages.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeMLModelsPaginator
```
default DescribeMLModelsPublisher describeMLModelsPaginator()
```
    Returns a list of MLModel that match the search criteria in the request.
    
    This is a variant of describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMLModelsRequest) operation. The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will internally handle making service calls for you.
    
    When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and so there is no guarantee that the request is valid. If there are errors in your request, you will see the failures only after you start streaming the data. The subscribe method should be called as a request to start streaming data. For more info, see Publisher.subscribe(org.reactivestreams.Subscriber). Each call to the subscribe method will result in a new Subscription i.e., a new contract to stream data from the starting request.
    
    The following are few ways to use the response class:
    1) Using the forEach helper method
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsPublisher publisher = client.describeMLModelsPaginator(request);
 CompletableFuture<Void> future = publisher.forEach(res -> { // Do something with the response });
 future.get();
 
 
```
    2) Using a custom subscriber
```
 
 software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsPublisher publisher = client.describeMLModelsPaginator(request);
 publisher.subscribe(new Subscriber<software.amazon.awssdk.services.machinelearning.model.DescribeMLModelsResponse>() {
 
 public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
 
 
 public void onNext(software.amazon.awssdk.services.machinelearning.model.DescribeMLModelsResponse response) { //... };
 });
 
```
    As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
    Note: If you prefer to have control on service calls, use the describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMLModelsRequest) operation.
    Returns:
    A custom publisher that can be subscribed to request a stream of response pages.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeTags
```
default CompletableFuture<DescribeTagsResponse> describeTags(DescribeTagsRequest describeTagsRequest)
```
    Describes one or more of the tags for your Amazon ML object.
    Parameters:
    
    describeTagsRequest -
    
    Returns:
    A Java Future containing the result of the DescribeTags operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - describeTags
```
default CompletableFuture<DescribeTagsResponse> describeTags(Consumer<DescribeTagsRequest.Builder> describeTagsRequest)
```
    Describes one or more of the tags for your Amazon ML object.
    
    This is a convenience which creates an instance of the DescribeTagsRequest.Builder avoiding the need to create one manually via DescribeTagsRequest.builder()
    Parameters:
    
    describeTagsRequest - A Consumer that will call methods on DescribeTagsInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the DescribeTags operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - getBatchPrediction
```
default CompletableFuture<GetBatchPredictionResponse> getBatchPrediction(GetBatchPredictionRequest getBatchPredictionRequest)
```
    Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
    Parameters:
    
    getBatchPredictionRequest -
    
    Returns:
    A Java Future containing the result of the GetBatchPrediction operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - getBatchPrediction
```
default CompletableFuture<GetBatchPredictionResponse> getBatchPrediction(Consumer<GetBatchPredictionRequest.Builder> getBatchPredictionRequest)
```
    Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
    
    This is a convenience which creates an instance of the GetBatchPredictionRequest.Builder avoiding the need to create one manually via GetBatchPredictionRequest.builder()
    Parameters:
    
    getBatchPredictionRequest - A Consumer that will call methods on GetBatchPredictionInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the GetBatchPrediction operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - getDataSource
```
default CompletableFuture<GetDataSourceResponse> getDataSource(GetDataSourceRequest getDataSourceRequest)
```
    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.
    Parameters:
    
    getDataSourceRequest -
    
    Returns:
    A Java Future containing the result of the GetDataSource operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - getDataSource
```
default CompletableFuture<GetDataSourceResponse> getDataSource(Consumer<GetDataSourceRequest.Builder> getDataSourceRequest)
```
    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.
    
    This is a convenience which creates an instance of the GetDataSourceRequest.Builder avoiding the need to create one manually via GetDataSourceRequest.builder()
    Parameters:
    
    getDataSourceRequest - A Consumer that will call methods on GetDataSourceInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the GetDataSource operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - getEvaluation
```
default CompletableFuture<GetEvaluationResponse> getEvaluation(GetEvaluationRequest getEvaluationRequest)
```
    Returns an Evaluation that includes metadata as well as the current status of the Evaluation.
    Parameters:
    
    getEvaluationRequest -
    
    Returns:
    A Java Future containing the result of the GetEvaluation operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - getEvaluation
```
default CompletableFuture<GetEvaluationResponse> getEvaluation(Consumer<GetEvaluationRequest.Builder> getEvaluationRequest)
```
    Returns an Evaluation that includes metadata as well as the current status of the Evaluation.
    
    This is a convenience which creates an instance of the GetEvaluationRequest.Builder avoiding the need to create one manually via GetEvaluationRequest.builder()
    Parameters:
    
    getEvaluationRequest - A Consumer that will call methods on GetEvaluationInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the GetEvaluation operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - getMLModel
```
default CompletableFuture<GetMLModelResponse> getMLModel(GetMLModelRequest getMLModelRequest)
```
    Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.
    
    GetMLModel provides results in normal or verbose format.
    Parameters:
    
    getMLModelRequest -
    
    Returns:
    A Java Future containing the result of the GetMLModel operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - getMLModel
```
default CompletableFuture<GetMLModelResponse> getMLModel(Consumer<GetMLModelRequest.Builder> getMLModelRequest)
```
    Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.
    
    GetMLModel provides results in normal or verbose format.
    
    This is a convenience which creates an instance of the GetMLModelRequest.Builder avoiding the need to create one manually via GetMLModelRequest.builder()
    Parameters:
    
    getMLModelRequest - A Consumer that will call methods on GetMLModelInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the GetMLModel operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - predict
```
default CompletableFuture<PredictResponse> predict(PredictRequest predictRequest)
```
    Generates a prediction for the observation using the specified ML Model.
    Note
    Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested.
    Parameters:
    
    predictRequest -
    
    Returns:
    A Java Future containing the result of the Predict operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    LimitExceededException The subscriber exceeded the maximum number of operations. This exception can occur when listing objects such as DataSource.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    PredictorNotMountedException The exception is thrown when a predict request is made to an unmounted MLModel.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - predict
```
default CompletableFuture<PredictResponse> predict(Consumer<PredictRequest.Builder> predictRequest)
```
    Generates a prediction for the observation using the specified ML Model.
    Note
    Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested.
    
    This is a convenience which creates an instance of the PredictRequest.Builder avoiding the need to create one manually via PredictRequest.builder()
    Parameters:
    
    predictRequest - A Consumer that will call methods on PredictInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the Predict operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    LimitExceededException The subscriber exceeded the maximum number of operations. This exception can occur when listing objects such as DataSource.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    PredictorNotMountedException The exception is thrown when a predict request is made to an unmounted MLModel.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - updateBatchPrediction
```
default CompletableFuture<UpdateBatchPredictionResponse> updateBatchPrediction(UpdateBatchPredictionRequest updateBatchPredictionRequest)
```
    Updates the BatchPredictionName of a BatchPrediction.
    
    You can use the GetBatchPrediction operation to view the contents of the updated data element.
    Parameters:
    
    updateBatchPredictionRequest -
    
    Returns:
    A Java Future containing the result of the UpdateBatchPrediction operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - updateBatchPrediction
```
default CompletableFuture<UpdateBatchPredictionResponse> updateBatchPrediction(Consumer<UpdateBatchPredictionRequest.Builder> updateBatchPredictionRequest)
```
    Updates the BatchPredictionName of a BatchPrediction.
    
    You can use the GetBatchPrediction operation to view the contents of the updated data element.
    
    This is a convenience which creates an instance of the UpdateBatchPredictionRequest.Builder avoiding the need to create one manually via UpdateBatchPredictionRequest.builder()
    Parameters:
    
    updateBatchPredictionRequest - A Consumer that will call methods on UpdateBatchPredictionInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the UpdateBatchPrediction operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - updateDataSource
```
default CompletableFuture<UpdateDataSourceResponse> updateDataSource(UpdateDataSourceRequest updateDataSourceRequest)
```
    Updates the DataSourceName of a DataSource.
    
    You can use the GetDataSource operation to view the contents of the updated data element.
    Parameters:
    
    updateDataSourceRequest -
    
    Returns:
    A Java Future containing the result of the UpdateDataSource operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - updateDataSource
```
default CompletableFuture<UpdateDataSourceResponse> updateDataSource(Consumer<UpdateDataSourceRequest.Builder> updateDataSourceRequest)
```
    Updates the DataSourceName of a DataSource.
    
    You can use the GetDataSource operation to view the contents of the updated data element.
    
    This is a convenience which creates an instance of the UpdateDataSourceRequest.Builder avoiding the need to create one manually via UpdateDataSourceRequest.builder()
    Parameters:
    
    updateDataSourceRequest - A Consumer that will call methods on UpdateDataSourceInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the UpdateDataSource operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - updateEvaluation
```
default CompletableFuture<UpdateEvaluationResponse> updateEvaluation(UpdateEvaluationRequest updateEvaluationRequest)
```
    Updates the EvaluationName of an Evaluation.
    
    You can use the GetEvaluation operation to view the contents of the updated data element.
    Parameters:
    
    updateEvaluationRequest -
    
    Returns:
    A Java Future containing the result of the UpdateEvaluation operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - updateEvaluation
```
default CompletableFuture<UpdateEvaluationResponse> updateEvaluation(Consumer<UpdateEvaluationRequest.Builder> updateEvaluationRequest)
```
    Updates the EvaluationName of an Evaluation.
    
    You can use the GetEvaluation operation to view the contents of the updated data element.
    
    This is a convenience which creates an instance of the UpdateEvaluationRequest.Builder avoiding the need to create one manually via UpdateEvaluationRequest.builder()
    Parameters:
    
    updateEvaluationRequest - A Consumer that will call methods on UpdateEvaluationInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the UpdateEvaluation operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - updateMLModel
```
default CompletableFuture<UpdateMLModelResponse> updateMLModel(UpdateMLModelRequest updateMLModelRequest)
```
    Updates the MLModelName and the ScoreThreshold of an MLModel.
    
    You can use the GetMLModel operation to view the contents of the updated data element.
    Parameters:
    
    updateMLModelRequest -
    
    Returns:
    A Java Future containing the result of the UpdateMLModel operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.
  - updateMLModel
```
default CompletableFuture<UpdateMLModelResponse> updateMLModel(Consumer<UpdateMLModelRequest.Builder> updateMLModelRequest)
```
    Updates the MLModelName and the ScoreThreshold of an MLModel.
    
    You can use the GetMLModel operation to view the contents of the updated data element.
    
    This is a convenience which creates an instance of the UpdateMLModelRequest.Builder avoiding the need to create one manually via UpdateMLModelRequest.builder()
    Parameters:
    
    updateMLModelRequest - A Consumer that will call methods on UpdateMLModelInput.Builder to create a request.
    
    Returns:
    A Java Future containing the result of the UpdateMLModel operation returned by the service.
    The CompletableFuture returned by this method can be completed exceptionally with the following exceptions.
    
    InvalidInputException An error on the client occurred. Typically, the cause is an invalid input value.
    
    ResourceNotFoundException A specified resource cannot be located.
    
    InternalServerException An error on the server occurred when trying to process a request.
    
    SdkException Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for catch all scenarios.
    
    SdkClientException If any client side error occurs such as an IO related failure, failure to get credentials, etc.
    
    MachineLearningException Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.

Interface MachineLearningAsyncClient

Field Summary

Method Summary

Methods inherited from interface software.amazon.awssdk.core.SdkClient

Methods inherited from interface software.amazon.awssdk.utils.SdkAutoCloseable

Field Detail

SERVICE_NAME

Method Detail

create

builder

addTags

addTags

createBatchPrediction

createBatchPrediction

createDataSourceFromRDS

createDataSourceFromRDS

createDataSourceFromRedshift

createDataSourceFromRedshift

createDataSourceFromS3

createDataSourceFromS3

createEvaluation

createEvaluation

createMLModel

createMLModel

createRealtimeEndpoint

createRealtimeEndpoint

deleteBatchPrediction

deleteBatchPrediction

deleteDataSource

deleteDataSource

deleteEvaluation

deleteEvaluation

deleteMLModel

deleteMLModel

deleteRealtimeEndpoint

deleteRealtimeEndpoint

deleteTags

deleteTags

describeBatchPredictions

describeBatchPredictions

describeBatchPredictions

describeBatchPredictionsPaginator

describeBatchPredictionsPaginator

describeDataSources

describeDataSources

describeDataSources

describeDataSourcesPaginator

describeDataSourcesPaginator

describeEvaluations

describeEvaluations

describeEvaluations

describeEvaluationsPaginator

describeEvaluationsPaginator

describeMLModels

describeMLModels

describeMLModels

describeMLModelsPaginator

describeMLModelsPaginator

describeTags

describeTags

getBatchPrediction

getBatchPrediction

getDataSource

getDataSource

getEvaluation

getEvaluation

getMLModel

getMLModel

predict

predict

updateBatchPrediction

updateBatchPrediction

updateDataSource

updateDataSource

updateEvaluation

updateEvaluation

updateMLModel

updateMLModel