## Uses of Class
com.amazonaws.services.machinelearning.model.GetDataSourceRequest

Packages that use GetDataSourceRequest
com.amazonaws.services.machinelearning: Definition of the public APIs exposed by Amazon Machine Learning
com.amazonaws.services.machinelearning.model

### Uses of GetDataSourceRequest in com.amazonaws.services.machinelearning

Methods in com.amazonaws.services.machinelearning with parameters of type GetDataSourceRequest
`GetDataSourceResult` AmazonMachineLearningClient.`getDataSource(GetDataSourceRequest getDataSourceRequest)` Returns a `DataSource` that includes metadata and data file information, as well as the current status of the `DataSource`.
`GetDataSourceResult` AmazonMachineLearning.`getDataSource(GetDataSourceRequest getDataSourceRequest)` Returns a `DataSource` that includes metadata and data file information, as well as the current status of the `DataSource`.
`GetDataSourceResult` AbstractAmazonMachineLearning.`getDataSource(GetDataSourceRequest request)`
`Future<GetDataSourceResult>` AbstractAmazonMachineLearningAsync.`getDataSourceAsync(GetDataSourceRequest request)`
`Future<GetDataSourceResult>` AmazonMachineLearningAsyncClient.`getDataSourceAsync(GetDataSourceRequest request)`
`Future<GetDataSourceResult>` AmazonMachineLearningAsync.`getDataSourceAsync(GetDataSourceRequest getDataSourceRequest)` Returns a `DataSource` that includes metadata and data file information, as well as the current status of the `DataSource`.
`Future<GetDataSourceResult>` AbstractAmazonMachineLearningAsync.`getDataSourceAsync(GetDataSourceRequest request, AsyncHandler<GetDataSourceRequest,GetDataSourceResult> asyncHandler)`
`Future<GetDataSourceResult>` AmazonMachineLearningAsyncClient.`getDataSourceAsync(GetDataSourceRequest request, AsyncHandler<GetDataSourceRequest,GetDataSourceResult> asyncHandler)`
`Future<GetDataSourceResult>` AmazonMachineLearningAsync.`getDataSourceAsync(GetDataSourceRequest getDataSourceRequest, AsyncHandler<GetDataSourceRequest,GetDataSourceResult> asyncHandler)` Returns a `DataSource` that includes metadata and data file information, as well as the current status of the `DataSource`.

Method parameters in com.amazonaws.services.machinelearning with type arguments of type GetDataSourceRequest
`Future<GetDataSourceResult>` AbstractAmazonMachineLearningAsync.`getDataSourceAsync(GetDataSourceRequest request, AsyncHandler<GetDataSourceRequest,GetDataSourceResult> asyncHandler)`
`Future<GetDataSourceResult>` AmazonMachineLearningAsyncClient.`getDataSourceAsync(GetDataSourceRequest request, AsyncHandler<GetDataSourceRequest,GetDataSourceResult> asyncHandler)`
`Future<GetDataSourceResult>` AmazonMachineLearningAsync.`getDataSourceAsync(GetDataSourceRequest getDataSourceRequest, AsyncHandler<GetDataSourceRequest,GetDataSourceResult> asyncHandler)` Returns a `DataSource` that includes metadata and data file information, as well as the current status of the `DataSource`.

### Uses of GetDataSourceRequest in com.amazonaws.services.machinelearning.model

Methods in com.amazonaws.services.machinelearning.model that return GetDataSourceRequest
`GetDataSourceRequest` GetDataSourceRequest.`clone()`
`GetDataSourceRequest` GetDataSourceRequest.`withDataSourceId(String dataSourceId)` The ID assigned to the `DataSource` at creation.
`GetDataSourceRequest` GetDataSourceRequest.`withVerbose(Boolean verbose)` Specifies whether the `GetDataSource` operation should return `DataSourceSchema`.