All Superinterfaces:

AutoCloseable, AwsClient, SdkAutoCloseable, SdkClient
```
@Generated("software.amazon.awssdk:codegen")
@ThreadSafe
public interface MachineLearningClient
extends AwsClient
```
Service client for accessing Amazon Machine Learning. 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 Description

static String SERVICE_METADATA_ID
Value for looking up the service's metadata from the ServiceMetadataProvider.

static String SERVICE_NAME

Method Summary

All Methods Static Methods Instance Methods Default Methods
Modifier and Type	Method	Description
`default AddTagsResponse`	`addTags(Consumer<AddTagsRequest.Builder> addTagsRequest)`	Adds one or more tags to an object, up to a limit of 10.
`default AddTagsResponse`	`addTags(AddTagsRequest addTagsRequest)`	Adds one or more tags to an object, up to a limit of 10.
`static MachineLearningClientBuilder`	`builder()`	Create a builder that can be used to configure and create a `MachineLearningClient`.
`static MachineLearningClient`	`create()`	Create a `MachineLearningClient` with the region loaded from the `DefaultAwsRegionProviderChain` and credentials loaded from the `DefaultCredentialsProvider`.
`default CreateBatchPredictionResponse`	`createBatchPrediction(Consumer<CreateBatchPredictionRequest.Builder> createBatchPredictionRequest)`	Generates predictions for a group of observations.
`default CreateBatchPredictionResponse`	`createBatchPrediction(CreateBatchPredictionRequest createBatchPredictionRequest)`	Generates predictions for a group of observations.
`default CreateDataSourceFromRdsResponse`	`createDataSourceFromRDS(Consumer<CreateDataSourceFromRdsRequest.Builder> createDataSourceFromRdsRequest)`	Creates a `DataSource` object from an Amazon Relational Database Service (Amazon RDS).
`default CreateDataSourceFromRdsResponse`	`createDataSourceFromRDS(CreateDataSourceFromRdsRequest createDataSourceFromRdsRequest)`	Creates a `DataSource` object from an Amazon Relational Database Service (Amazon RDS).
`default CreateDataSourceFromRedshiftResponse`	`createDataSourceFromRedshift(Consumer<CreateDataSourceFromRedshiftRequest.Builder> createDataSourceFromRedshiftRequest)`	Creates a `DataSource` from a database hosted on an Amazon Redshift cluster.
`default CreateDataSourceFromRedshiftResponse`	`createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest)`	Creates a `DataSource` from a database hosted on an Amazon Redshift cluster.
`default CreateDataSourceFromS3Response`	`createDataSourceFromS3(Consumer<CreateDataSourceFromS3Request.Builder> createDataSourceFromS3Request)`	Creates a `DataSource` object.
`default CreateDataSourceFromS3Response`	`createDataSourceFromS3(CreateDataSourceFromS3Request createDataSourceFromS3Request)`	Creates a `DataSource` object.
`default CreateEvaluationResponse`	`createEvaluation(Consumer<CreateEvaluationRequest.Builder> createEvaluationRequest)`	Creates a new `Evaluation` of an `MLModel`.
`default CreateEvaluationResponse`	`createEvaluation(CreateEvaluationRequest createEvaluationRequest)`	Creates a new `Evaluation` of an `MLModel`.
`default CreateMlModelResponse`	`createMLModel(Consumer<CreateMlModelRequest.Builder> createMlModelRequest)`	Creates a new `MLModel` using the `DataSource` and the recipe as information sources.
`default CreateMlModelResponse`	`createMLModel(CreateMlModelRequest createMlModelRequest)`	Creates a new `MLModel` using the `DataSource` and the recipe as information sources.
`default CreateRealtimeEndpointResponse`	`createRealtimeEndpoint(Consumer<CreateRealtimeEndpointRequest.Builder> createRealtimeEndpointRequest)`	Creates a real-time endpoint for the `MLModel`.
`default CreateRealtimeEndpointResponse`	`createRealtimeEndpoint(CreateRealtimeEndpointRequest createRealtimeEndpointRequest)`	Creates a real-time endpoint for the `MLModel`.
`default DeleteBatchPredictionResponse`	`deleteBatchPrediction(Consumer<DeleteBatchPredictionRequest.Builder> deleteBatchPredictionRequest)`	Assigns the DELETED status to a `BatchPrediction`, rendering it unusable.
`default DeleteBatchPredictionResponse`	`deleteBatchPrediction(DeleteBatchPredictionRequest deleteBatchPredictionRequest)`	Assigns the DELETED status to a `BatchPrediction`, rendering it unusable.
`default DeleteDataSourceResponse`	`deleteDataSource(Consumer<DeleteDataSourceRequest.Builder> deleteDataSourceRequest)`	Assigns the DELETED status to a `DataSource`, rendering it unusable.
`default DeleteDataSourceResponse`	`deleteDataSource(DeleteDataSourceRequest deleteDataSourceRequest)`	Assigns the DELETED status to a `DataSource`, rendering it unusable.
`default DeleteEvaluationResponse`	`deleteEvaluation(Consumer<DeleteEvaluationRequest.Builder> deleteEvaluationRequest)`	Assigns the `DELETED` status to an `Evaluation`, rendering it unusable.
`default DeleteEvaluationResponse`	`deleteEvaluation(DeleteEvaluationRequest deleteEvaluationRequest)`	Assigns the `DELETED` status to an `Evaluation`, rendering it unusable.
`default DeleteMlModelResponse`	`deleteMLModel(Consumer<DeleteMlModelRequest.Builder> deleteMlModelRequest)`	Assigns the `DELETED` status to an `MLModel`, rendering it unusable.
`default DeleteMlModelResponse`	`deleteMLModel(DeleteMlModelRequest deleteMlModelRequest)`	Assigns the `DELETED` status to an `MLModel`, rendering it unusable.
`default DeleteRealtimeEndpointResponse`	`deleteRealtimeEndpoint(Consumer<DeleteRealtimeEndpointRequest.Builder> deleteRealtimeEndpointRequest)`	Deletes a real time endpoint of an `MLModel`.
`default DeleteRealtimeEndpointResponse`	`deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest)`	Deletes a real time endpoint of an `MLModel`.
`default DeleteTagsResponse`	`deleteTags(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest)`	Deletes the specified tags associated with an ML object.
`default DeleteTagsResponse`	`deleteTags(DeleteTagsRequest deleteTagsRequest)`	Deletes the specified tags associated with an ML object.
`default DescribeBatchPredictionsResponse`	`describeBatchPredictions()`	Returns a list of `BatchPrediction` operations that match the search criteria in the request.
`default DescribeBatchPredictionsResponse`	`describeBatchPredictions(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)`	Returns a list of `BatchPrediction` operations that match the search criteria in the request.
`default DescribeBatchPredictionsResponse`	`describeBatchPredictions(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)`	Returns a list of `BatchPrediction` operations that match the search criteria in the request.
`default DescribeBatchPredictionsIterable`	`describeBatchPredictionsPaginator()`	This is a variant of `describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)` operation.
`default DescribeBatchPredictionsIterable`	`describeBatchPredictionsPaginator(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)`	This is a variant of `describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)` operation.
`default DescribeBatchPredictionsIterable`	`describeBatchPredictionsPaginator(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)`	This is a variant of `describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest)` operation.
`default DescribeDataSourcesResponse`	`describeDataSources()`	Returns a list of `DataSource` that match the search criteria in the request.
`default DescribeDataSourcesResponse`	`describeDataSources(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)`	Returns a list of `DataSource` that match the search criteria in the request.
`default DescribeDataSourcesResponse`	`describeDataSources(DescribeDataSourcesRequest describeDataSourcesRequest)`	Returns a list of `DataSource` that match the search criteria in the request.
`default DescribeDataSourcesIterable`	`describeDataSourcesPaginator()`	This is a variant of `describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)` operation.
`default DescribeDataSourcesIterable`	`describeDataSourcesPaginator(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)`	This is a variant of `describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)` operation.
`default DescribeDataSourcesIterable`	`describeDataSourcesPaginator(DescribeDataSourcesRequest describeDataSourcesRequest)`	This is a variant of `describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest)` operation.
`default DescribeEvaluationsResponse`	`describeEvaluations()`	Returns a list of `DescribeEvaluations` that match the search criteria in the request.
`default DescribeEvaluationsResponse`	`describeEvaluations(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)`	Returns a list of `DescribeEvaluations` that match the search criteria in the request.
`default DescribeEvaluationsResponse`	`describeEvaluations(DescribeEvaluationsRequest describeEvaluationsRequest)`	Returns a list of `DescribeEvaluations` that match the search criteria in the request.
`default DescribeEvaluationsIterable`	`describeEvaluationsPaginator()`	This is a variant of `describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)` operation.
`default DescribeEvaluationsIterable`	`describeEvaluationsPaginator(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)`	This is a variant of `describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)` operation.
`default DescribeEvaluationsIterable`	`describeEvaluationsPaginator(DescribeEvaluationsRequest describeEvaluationsRequest)`	This is a variant of `describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest)` operation.
`default DescribeMlModelsResponse`	`describeMLModels()`	Returns a list of `MLModel` that match the search criteria in the request.
`default DescribeMlModelsResponse`	`describeMLModels(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest)`	Returns a list of `MLModel` that match the search criteria in the request.
`default DescribeMlModelsResponse`	`describeMLModels(DescribeMlModelsRequest describeMlModelsRequest)`	Returns a list of `MLModel` that match the search criteria in the request.
`default DescribeMLModelsIterable`	`describeMLModelsPaginator()`	This is a variant of `describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)` operation.
`default DescribeMLModelsIterable`	`describeMLModelsPaginator(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest)`	This is a variant of `describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)` operation.
`default DescribeMLModelsIterable`	`describeMLModelsPaginator(DescribeMlModelsRequest describeMlModelsRequest)`	This is a variant of `describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)` operation.
`default DescribeTagsResponse`	`describeTags(Consumer<DescribeTagsRequest.Builder> describeTagsRequest)`	Describes one or more of the tags for your Amazon ML object.
`default DescribeTagsResponse`	`describeTags(DescribeTagsRequest describeTagsRequest)`	Describes one or more of the tags for your Amazon ML object.
`default GetBatchPredictionResponse`	`getBatchPrediction(Consumer<GetBatchPredictionRequest.Builder> getBatchPredictionRequest)`	Returns a `BatchPrediction` that includes detailed metadata, status, and data file information for a `Batch Prediction` request.
`default GetBatchPredictionResponse`	`getBatchPrediction(GetBatchPredictionRequest getBatchPredictionRequest)`	Returns a `BatchPrediction` that includes detailed metadata, status, and data file information for a `Batch Prediction` request.
`default 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 GetDataSourceResponse`	`getDataSource(GetDataSourceRequest getDataSourceRequest)`	Returns a `DataSource` that includes metadata and data file information, as well as the current status of the `DataSource`.
`default GetEvaluationResponse`	`getEvaluation(Consumer<GetEvaluationRequest.Builder> getEvaluationRequest)`	Returns an `Evaluation` that includes metadata as well as the current status of the `Evaluation`.
`default GetEvaluationResponse`	`getEvaluation(GetEvaluationRequest getEvaluationRequest)`	Returns an `Evaluation` that includes metadata as well as the current status of the `Evaluation`.
`default GetMlModelResponse`	`getMLModel(Consumer<GetMlModelRequest.Builder> getMlModelRequest)`	Returns an `MLModel` that includes detailed metadata, data source information, and the current status of the `MLModel`.
`default GetMlModelResponse`	`getMLModel(GetMlModelRequest getMlModelRequest)`	Returns an `MLModel` that includes detailed metadata, data source information, and the current status of the `MLModel`.
`default PredictResponse`	`predict(Consumer<PredictRequest.Builder> predictRequest)`	Generates a prediction for the observation using the specified `ML Model`.
`default PredictResponse`	`predict(PredictRequest predictRequest)`	Generates a prediction for the observation using the specified `ML Model`.
`default MachineLearningServiceClientConfiguration`	`serviceClientConfiguration()`
`static ServiceMetadata`	`serviceMetadata()`
`default UpdateBatchPredictionResponse`	`updateBatchPrediction(Consumer<UpdateBatchPredictionRequest.Builder> updateBatchPredictionRequest)`	Updates the `BatchPredictionName` of a `BatchPrediction`.
`default UpdateBatchPredictionResponse`	`updateBatchPrediction(UpdateBatchPredictionRequest updateBatchPredictionRequest)`	Updates the `BatchPredictionName` of a `BatchPrediction`.
`default UpdateDataSourceResponse`	`updateDataSource(Consumer<UpdateDataSourceRequest.Builder> updateDataSourceRequest)`	Updates the `DataSourceName` of a `DataSource`.
`default UpdateDataSourceResponse`	`updateDataSource(UpdateDataSourceRequest updateDataSourceRequest)`	Updates the `DataSourceName` of a `DataSource`.
`default UpdateEvaluationResponse`	`updateEvaluation(Consumer<UpdateEvaluationRequest.Builder> updateEvaluationRequest)`	Updates the `EvaluationName` of an `Evaluation`.
`default UpdateEvaluationResponse`	`updateEvaluation(UpdateEvaluationRequest updateEvaluationRequest)`	Updates the `EvaluationName` of an `Evaluation`.
`default UpdateMlModelResponse`	`updateMLModel(Consumer<UpdateMlModelRequest.Builder> updateMlModelRequest)`	Updates the `MLModelName` and the `ScoreThreshold` of an `MLModel`.
`default UpdateMlModelResponse`	`updateMLModel(UpdateMlModelRequest updateMlModelRequest)`	Updates the `MLModelName` and the `ScoreThreshold` of an `MLModel`.
`default MachineLearningWaiter`	`waiter()`	Create an instance of `MachineLearningWaiter` using this client.

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

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

- Field Detail
  - SERVICE_NAME
```
static final String SERVICE_NAME
```
    See Also:
    
    Constant Field Values
  - SERVICE_METADATA_ID
```
static final String SERVICE_METADATA_ID
```
    Value for looking up the service's metadata from the ServiceMetadataProvider.
    
    See Also:
    
    Constant Field Values
- Method Detail
  - addTags
```
default AddTagsResponse addTags(AddTagsRequest addTagsRequest)
                         throws InvalidInputException,
                                InvalidTagException,
                                TagLimitExceededException,
                                ResourceNotFoundException,
                                InternalServerException,
                                AwsServiceException,
                                SdkClientException,
                                MachineLearningException
```
    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:
    
    Result of the AddTags operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - addTags
```
default AddTagsResponse addTags(Consumer<AddTagsRequest.Builder> addTagsRequest)
                         throws InvalidInputException,
                                InvalidTagException,
                                TagLimitExceededException,
                                ResourceNotFoundException,
                                InternalServerException,
                                AwsServiceException,
                                SdkClientException,
                                MachineLearningException
```
    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 AddTagsRequest.Builder to create a request.
    
    Returns:
    
    Result of the AddTags operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createBatchPrediction
```
default CreateBatchPredictionResponse createBatchPrediction(CreateBatchPredictionRequest createBatchPredictionRequest)
                                                     throws InvalidInputException,
                                                            InternalServerException,
                                                            IdempotentParameterMismatchException,
                                                            AwsServiceException,
                                                            SdkClientException,
                                                            MachineLearningException
```
    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:
    
    Result of the CreateBatchPrediction operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createBatchPrediction
```
default CreateBatchPredictionResponse createBatchPrediction(Consumer<CreateBatchPredictionRequest.Builder> createBatchPredictionRequest)
                                                     throws InvalidInputException,
                                                            InternalServerException,
                                                            IdempotentParameterMismatchException,
                                                            AwsServiceException,
                                                            SdkClientException,
                                                            MachineLearningException
```
    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 CreateBatchPredictionRequest.Builder to create a request.
    
    Returns:
    
    Result of the CreateBatchPrediction operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createDataSourceFromRDS
```
default CreateDataSourceFromRdsResponse createDataSourceFromRDS(CreateDataSourceFromRdsRequest createDataSourceFromRdsRequest)
                                                         throws InvalidInputException,
                                                                InternalServerException,
                                                                IdempotentParameterMismatchException,
                                                                AwsServiceException,
                                                                SdkClientException,
                                                                MachineLearningException
```
    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:
    
    Result of the CreateDataSourceFromRDS operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createDataSourceFromRDS
```
default CreateDataSourceFromRdsResponse createDataSourceFromRDS(Consumer<CreateDataSourceFromRdsRequest.Builder> createDataSourceFromRdsRequest)
                                                         throws InvalidInputException,
                                                                InternalServerException,
                                                                IdempotentParameterMismatchException,
                                                                AwsServiceException,
                                                                SdkClientException,
                                                                MachineLearningException
```
    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 CreateDataSourceFromRdsRequest.Builder to create a request.
    
    Returns:
    
    Result of the CreateDataSourceFromRDS operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createDataSourceFromRedshift
```
default CreateDataSourceFromRedshiftResponse createDataSourceFromRedshift(CreateDataSourceFromRedshiftRequest createDataSourceFromRedshiftRequest)
                                                                   throws InvalidInputException,
                                                                          InternalServerException,
                                                                          IdempotentParameterMismatchException,
                                                                          AwsServiceException,
                                                                          SdkClientException,
                                                                          MachineLearningException
```
    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:
    
    Result of the CreateDataSourceFromRedshift operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createDataSourceFromRedshift
```
default CreateDataSourceFromRedshiftResponse createDataSourceFromRedshift(Consumer<CreateDataSourceFromRedshiftRequest.Builder> createDataSourceFromRedshiftRequest)
                                                                   throws InvalidInputException,
                                                                          InternalServerException,
                                                                          IdempotentParameterMismatchException,
                                                                          AwsServiceException,
                                                                          SdkClientException,
                                                                          MachineLearningException
```
    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 CreateDataSourceFromRedshiftRequest.Builder to create a request.
    
    Returns:
    
    Result of the CreateDataSourceFromRedshift operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createDataSourceFromS3
```
default CreateDataSourceFromS3Response createDataSourceFromS3(CreateDataSourceFromS3Request createDataSourceFromS3Request)
                                                       throws InvalidInputException,
                                                              InternalServerException,
                                                              IdempotentParameterMismatchException,
                                                              AwsServiceException,
                                                              SdkClientException,
                                                              MachineLearningException
```
    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:
    
    Result of the CreateDataSourceFromS3 operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createDataSourceFromS3
```
default CreateDataSourceFromS3Response createDataSourceFromS3(Consumer<CreateDataSourceFromS3Request.Builder> createDataSourceFromS3Request)
                                                       throws InvalidInputException,
                                                              InternalServerException,
                                                              IdempotentParameterMismatchException,
                                                              AwsServiceException,
                                                              SdkClientException,
                                                              MachineLearningException
```
    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 CreateDataSourceFromS3Request.Builder to create a request.
    
    Returns:
    
    Result of the CreateDataSourceFromS3 operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createEvaluation
```
default CreateEvaluationResponse createEvaluation(CreateEvaluationRequest createEvaluationRequest)
                                           throws InvalidInputException,
                                                  InternalServerException,
                                                  IdempotentParameterMismatchException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    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:
    
    Result of the CreateEvaluation operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createEvaluation
```
default CreateEvaluationResponse createEvaluation(Consumer<CreateEvaluationRequest.Builder> createEvaluationRequest)
                                           throws InvalidInputException,
                                                  InternalServerException,
                                                  IdempotentParameterMismatchException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    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 CreateEvaluationRequest.Builder to create a request.
    
    Returns:
    
    Result of the CreateEvaluation operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createMLModel
```
default CreateMlModelResponse createMLModel(CreateMlModelRequest createMlModelRequest)
                                     throws InvalidInputException,
                                            InternalServerException,
                                            IdempotentParameterMismatchException,
                                            AwsServiceException,
                                            SdkClientException,
                                            MachineLearningException
```
    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:
    
    Result of the CreateMLModel operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createMLModel
```
default CreateMlModelResponse createMLModel(Consumer<CreateMlModelRequest.Builder> createMlModelRequest)
                                     throws InvalidInputException,
                                            InternalServerException,
                                            IdempotentParameterMismatchException,
                                            AwsServiceException,
                                            SdkClientException,
                                            MachineLearningException
```
    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 CreateMlModelRequest.Builder to create a request.
    
    Returns:
    
    Result of the CreateMLModel operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createRealtimeEndpoint
```
default CreateRealtimeEndpointResponse createRealtimeEndpoint(CreateRealtimeEndpointRequest createRealtimeEndpointRequest)
                                                       throws InvalidInputException,
                                                              ResourceNotFoundException,
                                                              InternalServerException,
                                                              AwsServiceException,
                                                              SdkClientException,
                                                              MachineLearningException
```
    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:
    
    Result of the CreateRealtimeEndpoint operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - createRealtimeEndpoint
```
default CreateRealtimeEndpointResponse createRealtimeEndpoint(Consumer<CreateRealtimeEndpointRequest.Builder> createRealtimeEndpointRequest)
                                                       throws InvalidInputException,
                                                              ResourceNotFoundException,
                                                              InternalServerException,
                                                              AwsServiceException,
                                                              SdkClientException,
                                                              MachineLearningException
```
    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 CreateRealtimeEndpointRequest.Builder to create a request.
    
    Returns:
    
    Result of the CreateRealtimeEndpoint operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteBatchPrediction
```
default DeleteBatchPredictionResponse deleteBatchPrediction(DeleteBatchPredictionRequest deleteBatchPredictionRequest)
                                                     throws InvalidInputException,
                                                            ResourceNotFoundException,
                                                            InternalServerException,
                                                            AwsServiceException,
                                                            SdkClientException,
                                                            MachineLearningException
```
    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:
    
    Result of the DeleteBatchPrediction operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteBatchPrediction
```
default DeleteBatchPredictionResponse deleteBatchPrediction(Consumer<DeleteBatchPredictionRequest.Builder> deleteBatchPredictionRequest)
                                                     throws InvalidInputException,
                                                            ResourceNotFoundException,
                                                            InternalServerException,
                                                            AwsServiceException,
                                                            SdkClientException,
                                                            MachineLearningException
```
    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 DeleteBatchPredictionRequest.Builder to create a request.
    
    Returns:
    
    Result of the DeleteBatchPrediction operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteDataSource
```
default DeleteDataSourceResponse deleteDataSource(DeleteDataSourceRequest deleteDataSourceRequest)
                                           throws InvalidInputException,
                                                  ResourceNotFoundException,
                                                  InternalServerException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    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:
    
    Result of the DeleteDataSource operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteDataSource
```
default DeleteDataSourceResponse deleteDataSource(Consumer<DeleteDataSourceRequest.Builder> deleteDataSourceRequest)
                                           throws InvalidInputException,
                                                  ResourceNotFoundException,
                                                  InternalServerException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    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 DeleteDataSourceRequest.Builder to create a request.
    
    Returns:
    
    Result of the DeleteDataSource operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteEvaluation
```
default DeleteEvaluationResponse deleteEvaluation(DeleteEvaluationRequest deleteEvaluationRequest)
                                           throws InvalidInputException,
                                                  ResourceNotFoundException,
                                                  InternalServerException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    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:
    
    Result of the DeleteEvaluation operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteEvaluation
```
default DeleteEvaluationResponse deleteEvaluation(Consumer<DeleteEvaluationRequest.Builder> deleteEvaluationRequest)
                                           throws InvalidInputException,
                                                  ResourceNotFoundException,
                                                  InternalServerException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    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 DeleteEvaluationRequest.Builder to create a request.
    
    Returns:
    
    Result of the DeleteEvaluation operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteMLModel
```
default DeleteMlModelResponse deleteMLModel(DeleteMlModelRequest deleteMlModelRequest)
                                     throws InvalidInputException,
                                            ResourceNotFoundException,
                                            InternalServerException,
                                            AwsServiceException,
                                            SdkClientException,
                                            MachineLearningException
```
    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:
    
    Result of the DeleteMLModel operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteMLModel
```
default DeleteMlModelResponse deleteMLModel(Consumer<DeleteMlModelRequest.Builder> deleteMlModelRequest)
                                     throws InvalidInputException,
                                            ResourceNotFoundException,
                                            InternalServerException,
                                            AwsServiceException,
                                            SdkClientException,
                                            MachineLearningException
```
    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 DeleteMlModelRequest.Builder to create a request.
    
    Returns:
    
    Result of the DeleteMLModel operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteRealtimeEndpoint
```
default DeleteRealtimeEndpointResponse deleteRealtimeEndpoint(DeleteRealtimeEndpointRequest deleteRealtimeEndpointRequest)
                                                       throws InvalidInputException,
                                                              ResourceNotFoundException,
                                                              InternalServerException,
                                                              AwsServiceException,
                                                              SdkClientException,
                                                              MachineLearningException
```
    Deletes a real time endpoint of an MLModel.
    
    Parameters:
    
    deleteRealtimeEndpointRequest -
    
    Returns:
    
    Result of the DeleteRealtimeEndpoint operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteRealtimeEndpoint
```
default DeleteRealtimeEndpointResponse deleteRealtimeEndpoint(Consumer<DeleteRealtimeEndpointRequest.Builder> deleteRealtimeEndpointRequest)
                                                       throws InvalidInputException,
                                                              ResourceNotFoundException,
                                                              InternalServerException,
                                                              AwsServiceException,
                                                              SdkClientException,
                                                              MachineLearningException
```
    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 DeleteRealtimeEndpointRequest.Builder to create a request.
    
    Returns:
    
    Result of the DeleteRealtimeEndpoint operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteTags
```
default DeleteTagsResponse deleteTags(DeleteTagsRequest deleteTagsRequest)
                               throws InvalidInputException,
                                      InvalidTagException,
                                      ResourceNotFoundException,
                                      InternalServerException,
                                      AwsServiceException,
                                      SdkClientException,
                                      MachineLearningException
```
    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:
    
    Result of the DeleteTags operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - deleteTags
```
default DeleteTagsResponse deleteTags(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest)
                               throws InvalidInputException,
                                      InvalidTagException,
                                      ResourceNotFoundException,
                                      InternalServerException,
                                      AwsServiceException,
                                      SdkClientException,
                                      MachineLearningException
```
    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 DeleteTagsRequest.Builder to create a request.
    
    Returns:
    
    Result of the DeleteTags operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeBatchPredictions
```
default DescribeBatchPredictionsResponse describeBatchPredictions(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)
                                                           throws InvalidInputException,
                                                                  InternalServerException,
                                                                  AwsServiceException,
                                                                  SdkClientException,
                                                                  MachineLearningException
```
    Returns a list of BatchPrediction operations that match the search criteria in the request.
    
    Parameters:
    
    describeBatchPredictionsRequest -
    
    Returns:
    
    Result of the DescribeBatchPredictions operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeBatchPredictions
```
default DescribeBatchPredictionsResponse describeBatchPredictions(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)
                                                           throws InvalidInputException,
                                                                  InternalServerException,
                                                                  AwsServiceException,
                                                                  SdkClientException,
                                                                  MachineLearningException
```
    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 DescribeBatchPredictionsRequest.Builder to create a request.
    
    Returns:
    
    Result of the DescribeBatchPredictions operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeBatchPredictions
```
default DescribeBatchPredictionsResponse describeBatchPredictions()
                                                           throws InvalidInputException,
                                                                  InternalServerException,
                                                                  AwsServiceException,
                                                                  SdkClientException,
                                                                  MachineLearningException
```
    Returns a list of BatchPrediction operations that match the search criteria in the request.
    
    Returns:
    
    Result of the DescribeBatchPredictions operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
    
    See Also:
    
    describeBatchPredictions(DescribeBatchPredictionsRequest)
  - describeBatchPredictionsPaginator
```
default DescribeBatchPredictionsIterable describeBatchPredictionsPaginator()
                                                                    throws InvalidInputException,
                                                                           InternalServerException,
                                                                           AwsServiceException,
                                                                           SdkClientException,
                                                                           MachineLearningException
```
    This is a variant of describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsIterable responses = client.describeBatchPredictionsPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsIterable responses = client .describeBatchPredictionsPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsIterable responses = client.describeBatchPredictionsPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    Note: If you prefer to have control on service calls, use the describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation.
    Returns:
    
    A custom iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
    
    See Also:
    
    describeBatchPredictionsPaginator(DescribeBatchPredictionsRequest)
  - describeBatchPredictionsPaginator
```
default DescribeBatchPredictionsIterable describeBatchPredictionsPaginator(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)
                                                                    throws InvalidInputException,
                                                                           InternalServerException,
                                                                           AwsServiceException,
                                                                           SdkClientException,
                                                                           MachineLearningException
```
    This is a variant of describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsIterable responses = client.describeBatchPredictionsPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsIterable responses = client .describeBatchPredictionsPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsIterable responses = client.describeBatchPredictionsPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    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 iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeBatchPredictionsPaginator
```
default DescribeBatchPredictionsIterable describeBatchPredictionsPaginator(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)
                                                                    throws InvalidInputException,
                                                                           InternalServerException,
                                                                           AwsServiceException,
                                                                           SdkClientException,
                                                                           MachineLearningException
```
    This is a variant of describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsIterable responses = client.describeBatchPredictionsPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsIterable responses = client .describeBatchPredictionsPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeBatchPredictionsIterable responses = client.describeBatchPredictionsPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    Note: If you prefer to have control on service calls, use the describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) operation.
    
    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 DescribeBatchPredictionsRequest.Builder to create a request.
    
    Returns:
    
    A custom iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeDataSources
```
default DescribeDataSourcesResponse describeDataSources(DescribeDataSourcesRequest describeDataSourcesRequest)
                                                 throws InvalidInputException,
                                                        InternalServerException,
                                                        AwsServiceException,
                                                        SdkClientException,
                                                        MachineLearningException
```
    Returns a list of DataSource that match the search criteria in the request.
    
    Parameters:
    
    describeDataSourcesRequest -
    
    Returns:
    
    Result of the DescribeDataSources operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeDataSources
```
default DescribeDataSourcesResponse describeDataSources(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)
                                                 throws InvalidInputException,
                                                        InternalServerException,
                                                        AwsServiceException,
                                                        SdkClientException,
                                                        MachineLearningException
```
    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 DescribeDataSourcesRequest.Builder to create a request.
    
    Returns:
    
    Result of the DescribeDataSources operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeDataSources
```
default DescribeDataSourcesResponse describeDataSources()
                                                 throws InvalidInputException,
                                                        InternalServerException,
                                                        AwsServiceException,
                                                        SdkClientException,
                                                        MachineLearningException
```
    Returns a list of DataSource that match the search criteria in the request.
    
    Returns:
    
    Result of the DescribeDataSources operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
    
    See Also:
    
    describeDataSources(DescribeDataSourcesRequest)
  - describeDataSourcesPaginator
```
default DescribeDataSourcesIterable describeDataSourcesPaginator()
                                                          throws InvalidInputException,
                                                                 InternalServerException,
                                                                 AwsServiceException,
                                                                 SdkClientException,
                                                                 MachineLearningException
```
    This is a variant of describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesIterable responses = client.describeDataSourcesPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesIterable responses = client .describeDataSourcesPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesIterable responses = client.describeDataSourcesPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    Note: If you prefer to have control on service calls, use the describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation.
    Returns:
    
    A custom iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
    
    See Also:
    
    describeDataSourcesPaginator(DescribeDataSourcesRequest)
  - describeDataSourcesPaginator
```
default DescribeDataSourcesIterable describeDataSourcesPaginator(DescribeDataSourcesRequest describeDataSourcesRequest)
                                                          throws InvalidInputException,
                                                                 InternalServerException,
                                                                 AwsServiceException,
                                                                 SdkClientException,
                                                                 MachineLearningException
```
    This is a variant of describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesIterable responses = client.describeDataSourcesPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesIterable responses = client .describeDataSourcesPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesIterable responses = client.describeDataSourcesPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    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 iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeDataSourcesPaginator
```
default DescribeDataSourcesIterable describeDataSourcesPaginator(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)
                                                          throws InvalidInputException,
                                                                 InternalServerException,
                                                                 AwsServiceException,
                                                                 SdkClientException,
                                                                 MachineLearningException
```
    This is a variant of describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesIterable responses = client.describeDataSourcesPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesIterable responses = client .describeDataSourcesPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeDataSourcesIterable responses = client.describeDataSourcesPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    Note: If you prefer to have control on service calls, use the describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) operation.
    
    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 DescribeDataSourcesRequest.Builder to create a request.
    
    Returns:
    
    A custom iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeEvaluations
```
default DescribeEvaluationsResponse describeEvaluations(DescribeEvaluationsRequest describeEvaluationsRequest)
                                                 throws InvalidInputException,
                                                        InternalServerException,
                                                        AwsServiceException,
                                                        SdkClientException,
                                                        MachineLearningException
```
    Returns a list of DescribeEvaluations that match the search criteria in the request.
    
    Parameters:
    
    describeEvaluationsRequest -
    
    Returns:
    
    Result of the DescribeEvaluations operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeEvaluations
```
default DescribeEvaluationsResponse describeEvaluations(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)
                                                 throws InvalidInputException,
                                                        InternalServerException,
                                                        AwsServiceException,
                                                        SdkClientException,
                                                        MachineLearningException
```
    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 DescribeEvaluationsRequest.Builder to create a request.
    
    Returns:
    
    Result of the DescribeEvaluations operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeEvaluations
```
default DescribeEvaluationsResponse describeEvaluations()
                                                 throws InvalidInputException,
                                                        InternalServerException,
                                                        AwsServiceException,
                                                        SdkClientException,
                                                        MachineLearningException
```
    Returns a list of DescribeEvaluations that match the search criteria in the request.
    
    Returns:
    
    Result of the DescribeEvaluations operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
    
    See Also:
    
    describeEvaluations(DescribeEvaluationsRequest)
  - describeEvaluationsPaginator
```
default DescribeEvaluationsIterable describeEvaluationsPaginator()
                                                          throws InvalidInputException,
                                                                 InternalServerException,
                                                                 AwsServiceException,
                                                                 SdkClientException,
                                                                 MachineLearningException
```
    This is a variant of describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsIterable responses = client.describeEvaluationsPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsIterable responses = client .describeEvaluationsPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsIterable responses = client.describeEvaluationsPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    Note: If you prefer to have control on service calls, use the describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation.
    Returns:
    
    A custom iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
    
    See Also:
    
    describeEvaluationsPaginator(DescribeEvaluationsRequest)
  - describeEvaluationsPaginator
```
default DescribeEvaluationsIterable describeEvaluationsPaginator(DescribeEvaluationsRequest describeEvaluationsRequest)
                                                          throws InvalidInputException,
                                                                 InternalServerException,
                                                                 AwsServiceException,
                                                                 SdkClientException,
                                                                 MachineLearningException
```
    This is a variant of describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsIterable responses = client.describeEvaluationsPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsIterable responses = client .describeEvaluationsPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsIterable responses = client.describeEvaluationsPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    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 iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeEvaluationsPaginator
```
default DescribeEvaluationsIterable describeEvaluationsPaginator(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)
                                                          throws InvalidInputException,
                                                                 InternalServerException,
                                                                 AwsServiceException,
                                                                 SdkClientException,
                                                                 MachineLearningException
```
    This is a variant of describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsIterable responses = client.describeEvaluationsPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsIterable responses = client .describeEvaluationsPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeEvaluationsIterable responses = client.describeEvaluationsPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    Note: If you prefer to have control on service calls, use the describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) operation.
    
    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 DescribeEvaluationsRequest.Builder to create a request.
    
    Returns:
    
    A custom iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeMLModels
```
default DescribeMlModelsResponse describeMLModels(DescribeMlModelsRequest describeMlModelsRequest)
                                           throws InvalidInputException,
                                                  InternalServerException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    Returns a list of MLModel that match the search criteria in the request.
    
    Parameters:
    
    describeMlModelsRequest -
    
    Returns:
    
    Result of the DescribeMLModels operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeMLModels
```
default DescribeMlModelsResponse describeMLModels(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest)
                                           throws InvalidInputException,
                                                  InternalServerException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    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 DescribeMlModelsRequest.Builder to create a request.
    
    Returns:
    
    Result of the DescribeMLModels operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeMLModels
```
default DescribeMlModelsResponse describeMLModels()
                                           throws InvalidInputException,
                                                  InternalServerException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    Returns a list of MLModel that match the search criteria in the request.
    
    Returns:
    
    Result of the DescribeMLModels operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
    
    See Also:
    
    describeMLModels(DescribeMlModelsRequest)
  - describeMLModelsPaginator
```
default DescribeMLModelsIterable describeMLModelsPaginator()
                                                    throws InvalidInputException,
                                                           InternalServerException,
                                                           AwsServiceException,
                                                           SdkClientException,
                                                           MachineLearningException
```
    This is a variant of describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client.describeMLModelsPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client .describeMLModelsPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client.describeMLModelsPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    Note: If you prefer to have control on service calls, use the describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) operation.
    Returns:
    
    A custom iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
    
    See Also:
    
    describeMLModelsPaginator(DescribeMlModelsRequest)
  - describeMLModelsPaginator
```
default DescribeMLModelsIterable describeMLModelsPaginator(DescribeMlModelsRequest describeMlModelsRequest)
                                                    throws InvalidInputException,
                                                           InternalServerException,
                                                           AwsServiceException,
                                                           SdkClientException,
                                                           MachineLearningException
```
    This is a variant of describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client.describeMLModelsPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client .describeMLModelsPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client.describeMLModelsPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    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 iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeMLModelsPaginator
```
default DescribeMLModelsIterable describeMLModelsPaginator(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest)
                                                    throws InvalidInputException,
                                                           InternalServerException,
                                                           AwsServiceException,
                                                           SdkClientException,
                                                           MachineLearningException
```
    This is a variant of describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
    
    When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
    
    The following are few ways to iterate through the response pages:
    1) Using a Stream
    software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client.describeMLModelsPaginator(request); responses.stream().forEach(....);
    2) Using For loop
    { @code software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client .describeMLModelsPaginator(request); for (software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse response : responses) { // do something; } }
    3) Use iterator directly
    software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client.describeMLModelsPaginator(request); responses.iterator().forEachRemaining(....);
    
    Please notice that the configuration of Limit won't limit the number of results you get with the paginator. It only limits the number of results in each page.
    
    Note: If you prefer to have control on service calls, use the describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) operation.
    
    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 DescribeMlModelsRequest.Builder to create a request.
    
    Returns:
    
    A custom iterable that can be used to iterate through all the response pages.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeTags
```
default DescribeTagsResponse describeTags(DescribeTagsRequest describeTagsRequest)
                                   throws InvalidInputException,
                                          ResourceNotFoundException,
                                          InternalServerException,
                                          AwsServiceException,
                                          SdkClientException,
                                          MachineLearningException
```
    Describes one or more of the tags for your Amazon ML object.
    
    Parameters:
    
    describeTagsRequest -
    
    Returns:
    
    Result of the DescribeTags operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - describeTags
```
default DescribeTagsResponse describeTags(Consumer<DescribeTagsRequest.Builder> describeTagsRequest)
                                   throws InvalidInputException,
                                          ResourceNotFoundException,
                                          InternalServerException,
                                          AwsServiceException,
                                          SdkClientException,
                                          MachineLearningException
```
    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 DescribeTagsRequest.Builder to create a request.
    
    Returns:
    
    Result of the DescribeTags operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - getBatchPrediction
```
default GetBatchPredictionResponse getBatchPrediction(GetBatchPredictionRequest getBatchPredictionRequest)
                                               throws InvalidInputException,
                                                      ResourceNotFoundException,
                                                      InternalServerException,
                                                      AwsServiceException,
                                                      SdkClientException,
                                                      MachineLearningException
```
    Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.
    
    Parameters:
    
    getBatchPredictionRequest -
    
    Returns:
    
    Result of the GetBatchPrediction operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - getBatchPrediction
```
default GetBatchPredictionResponse getBatchPrediction(Consumer<GetBatchPredictionRequest.Builder> getBatchPredictionRequest)
                                               throws InvalidInputException,
                                                      ResourceNotFoundException,
                                                      InternalServerException,
                                                      AwsServiceException,
                                                      SdkClientException,
                                                      MachineLearningException
```
    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 GetBatchPredictionRequest.Builder to create a request.
    
    Returns:
    
    Result of the GetBatchPrediction operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - getDataSource
```
default GetDataSourceResponse getDataSource(GetDataSourceRequest getDataSourceRequest)
                                     throws InvalidInputException,
                                            ResourceNotFoundException,
                                            InternalServerException,
                                            AwsServiceException,
                                            SdkClientException,
                                            MachineLearningException
```
    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:
    
    Result of the GetDataSource operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - getDataSource
```
default GetDataSourceResponse getDataSource(Consumer<GetDataSourceRequest.Builder> getDataSourceRequest)
                                     throws InvalidInputException,
                                            ResourceNotFoundException,
                                            InternalServerException,
                                            AwsServiceException,
                                            SdkClientException,
                                            MachineLearningException
```
    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 GetDataSourceRequest.Builder to create a request.
    
    Returns:
    
    Result of the GetDataSource operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - getEvaluation
```
default GetEvaluationResponse getEvaluation(GetEvaluationRequest getEvaluationRequest)
                                     throws InvalidInputException,
                                            ResourceNotFoundException,
                                            InternalServerException,
                                            AwsServiceException,
                                            SdkClientException,
                                            MachineLearningException
```
    Returns an Evaluation that includes metadata as well as the current status of the Evaluation.
    
    Parameters:
    
    getEvaluationRequest -
    
    Returns:
    
    Result of the GetEvaluation operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - getEvaluation
```
default GetEvaluationResponse getEvaluation(Consumer<GetEvaluationRequest.Builder> getEvaluationRequest)
                                     throws InvalidInputException,
                                            ResourceNotFoundException,
                                            InternalServerException,
                                            AwsServiceException,
                                            SdkClientException,
                                            MachineLearningException
```
    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 GetEvaluationRequest.Builder to create a request.
    
    Returns:
    
    Result of the GetEvaluation operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - getMLModel
```
default GetMlModelResponse getMLModel(GetMlModelRequest getMlModelRequest)
                               throws InvalidInputException,
                                      ResourceNotFoundException,
                                      InternalServerException,
                                      AwsServiceException,
                                      SdkClientException,
                                      MachineLearningException
```
    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:
    
    Result of the GetMLModel operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - getMLModel
```
default GetMlModelResponse getMLModel(Consumer<GetMlModelRequest.Builder> getMlModelRequest)
                               throws InvalidInputException,
                                      ResourceNotFoundException,
                                      InternalServerException,
                                      AwsServiceException,
                                      SdkClientException,
                                      MachineLearningException
```
    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 GetMlModelRequest.Builder to create a request.
    
    Returns:
    
    Result of the GetMLModel operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - predict
```
default PredictResponse predict(PredictRequest predictRequest)
                         throws InvalidInputException,
                                ResourceNotFoundException,
                                LimitExceededException,
                                InternalServerException,
                                PredictorNotMountedException,
                                AwsServiceException,
                                SdkClientException,
                                MachineLearningException
```
    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:
    
    Result of the Predict operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - predict
```
default PredictResponse predict(Consumer<PredictRequest.Builder> predictRequest)
                         throws InvalidInputException,
                                ResourceNotFoundException,
                                LimitExceededException,
                                InternalServerException,
                                PredictorNotMountedException,
                                AwsServiceException,
                                SdkClientException,
                                MachineLearningException
```
    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 PredictRequest.Builder to create a request.
    
    Returns:
    
    Result of the Predict operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - updateBatchPrediction
```
default UpdateBatchPredictionResponse updateBatchPrediction(UpdateBatchPredictionRequest updateBatchPredictionRequest)
                                                     throws InvalidInputException,
                                                            ResourceNotFoundException,
                                                            InternalServerException,
                                                            AwsServiceException,
                                                            SdkClientException,
                                                            MachineLearningException
```
    Updates the BatchPredictionName of a BatchPrediction.
    
    You can use the GetBatchPrediction operation to view the contents of the updated data element.
    
    Parameters:
    
    updateBatchPredictionRequest -
    
    Returns:
    
    Result of the UpdateBatchPrediction operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - updateBatchPrediction
```
default UpdateBatchPredictionResponse updateBatchPrediction(Consumer<UpdateBatchPredictionRequest.Builder> updateBatchPredictionRequest)
                                                     throws InvalidInputException,
                                                            ResourceNotFoundException,
                                                            InternalServerException,
                                                            AwsServiceException,
                                                            SdkClientException,
                                                            MachineLearningException
```
    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 UpdateBatchPredictionRequest.Builder to create a request.
    
    Returns:
    
    Result of the UpdateBatchPrediction operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - updateDataSource
```
default UpdateDataSourceResponse updateDataSource(UpdateDataSourceRequest updateDataSourceRequest)
                                           throws InvalidInputException,
                                                  ResourceNotFoundException,
                                                  InternalServerException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    Updates the DataSourceName of a DataSource.
    
    You can use the GetDataSource operation to view the contents of the updated data element.
    
    Parameters:
    
    updateDataSourceRequest -
    
    Returns:
    
    Result of the UpdateDataSource operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - updateDataSource
```
default UpdateDataSourceResponse updateDataSource(Consumer<UpdateDataSourceRequest.Builder> updateDataSourceRequest)
                                           throws InvalidInputException,
                                                  ResourceNotFoundException,
                                                  InternalServerException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    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 UpdateDataSourceRequest.Builder to create a request.
    
    Returns:
    
    Result of the UpdateDataSource operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - updateEvaluation
```
default UpdateEvaluationResponse updateEvaluation(UpdateEvaluationRequest updateEvaluationRequest)
                                           throws InvalidInputException,
                                                  ResourceNotFoundException,
                                                  InternalServerException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    Updates the EvaluationName of an Evaluation.
    
    You can use the GetEvaluation operation to view the contents of the updated data element.
    
    Parameters:
    
    updateEvaluationRequest -
    
    Returns:
    
    Result of the UpdateEvaluation operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - updateEvaluation
```
default UpdateEvaluationResponse updateEvaluation(Consumer<UpdateEvaluationRequest.Builder> updateEvaluationRequest)
                                           throws InvalidInputException,
                                                  ResourceNotFoundException,
                                                  InternalServerException,
                                                  AwsServiceException,
                                                  SdkClientException,
                                                  MachineLearningException
```
    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 UpdateEvaluationRequest.Builder to create a request.
    
    Returns:
    
    Result of the UpdateEvaluation operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - updateMLModel
```
default UpdateMlModelResponse updateMLModel(UpdateMlModelRequest updateMlModelRequest)
                                     throws InvalidInputException,
                                            ResourceNotFoundException,
                                            InternalServerException,
                                            AwsServiceException,
                                            SdkClientException,
                                            MachineLearningException
```
    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:
    
    Result of the UpdateMLModel operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - updateMLModel
```
default UpdateMlModelResponse updateMLModel(Consumer<UpdateMlModelRequest.Builder> updateMlModelRequest)
                                     throws InvalidInputException,
                                            ResourceNotFoundException,
                                            InternalServerException,
                                            AwsServiceException,
                                            SdkClientException,
                                            MachineLearningException
```
    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 UpdateMlModelRequest.Builder to create a request.
    
    Returns:
    
    Result of the UpdateMLModel operation returned by the service.
    
    Throws:
    
    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.
    
    AwsServiceException
  - waiter
```
default MachineLearningWaiter waiter()
```
    Create an instance of MachineLearningWaiter using this client.
    Waiters created via this method are managed by the SDK and resources will be released when the service client is closed.
    
    Returns:
    
    an instance of MachineLearningWaiter
  - create
```
static MachineLearningClient create()
```
    Create a MachineLearningClient with the region loaded from the DefaultAwsRegionProviderChain and credentials loaded from the DefaultCredentialsProvider.
  - builder
```
static MachineLearningClientBuilder builder()
```
    Create a builder that can be used to configure and create a MachineLearningClient.
  - serviceMetadata
```
static ServiceMetadata serviceMetadata()
```
  - serviceClientConfiguration
```
default MachineLearningServiceClientConfiguration serviceClientConfiguration()
```
    Specified by:
    
    serviceClientConfiguration in interface AwsClient
    
    Specified by:
    
    serviceClientConfiguration in interface SdkClient

Modifier and Type	Field	Description
`static String`	`SERVICE_METADATA_ID`	Value for looking up the service's metadata from the `ServiceMetadataProvider`.
`static String`	`SERVICE_NAME`

Interface MachineLearningClient

Field Summary

Method Summary

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

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

Field Detail

SERVICE_NAME

SERVICE_METADATA_ID

Method Detail

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

describeBatchPredictionsPaginator

describeDataSources

describeDataSources

describeDataSources

describeDataSourcesPaginator

describeDataSourcesPaginator

describeDataSourcesPaginator

describeEvaluations

describeEvaluations

describeEvaluations

describeEvaluationsPaginator

describeEvaluationsPaginator

describeEvaluationsPaginator

describeMLModels

describeMLModels

describeMLModels

describeMLModelsPaginator

describeMLModelsPaginator

describeMLModelsPaginator

describeTags

describeTags

getBatchPrediction

getBatchPrediction

getDataSource

getDataSource

getEvaluation

getEvaluation

getMLModel

getMLModel

predict

predict

updateBatchPrediction

updateBatchPrediction

updateDataSource

updateDataSource

updateEvaluation

updateEvaluation

updateMLModel