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

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

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

Methods in com.amazonaws.services.machinelearning with parameters of type DescribeDataSourcesRequest
`DescribeDataSourcesResult` AmazonMachineLearningClient.`describeDataSources(DescribeDataSourcesRequest describeDataSourcesRequest)` Returns a list of `DataSource` that match the search criteria in the request.
`DescribeDataSourcesResult` AmazonMachineLearning.`describeDataSources(DescribeDataSourcesRequest describeDataSourcesRequest)` Returns a list of `DataSource` that match the search criteria in the request.
`DescribeDataSourcesResult` AbstractAmazonMachineLearning.`describeDataSources(DescribeDataSourcesRequest request)`
`Future<DescribeDataSourcesResult>` AbstractAmazonMachineLearningAsync.`describeDataSourcesAsync(DescribeDataSourcesRequest request)`
`Future<DescribeDataSourcesResult>` AmazonMachineLearningAsyncClient.`describeDataSourcesAsync(DescribeDataSourcesRequest request)`
`Future<DescribeDataSourcesResult>` AmazonMachineLearningAsync.`describeDataSourcesAsync(DescribeDataSourcesRequest describeDataSourcesRequest)` Returns a list of `DataSource` that match the search criteria in the request.
`Future<DescribeDataSourcesResult>` AbstractAmazonMachineLearningAsync.`describeDataSourcesAsync(DescribeDataSourcesRequest request, AsyncHandler<DescribeDataSourcesRequest,DescribeDataSourcesResult> asyncHandler)`
`Future<DescribeDataSourcesResult>` AmazonMachineLearningAsyncClient.`describeDataSourcesAsync(DescribeDataSourcesRequest request, AsyncHandler<DescribeDataSourcesRequest,DescribeDataSourcesResult> asyncHandler)`
`Future<DescribeDataSourcesResult>` AmazonMachineLearningAsync.`describeDataSourcesAsync(DescribeDataSourcesRequest describeDataSourcesRequest, AsyncHandler<DescribeDataSourcesRequest,DescribeDataSourcesResult> asyncHandler)` Returns a list of `DataSource` that match the search criteria in the request.

Method parameters in com.amazonaws.services.machinelearning with type arguments of type DescribeDataSourcesRequest
`Future<DescribeDataSourcesResult>` AbstractAmazonMachineLearningAsync.`describeDataSourcesAsync(AsyncHandler<DescribeDataSourcesRequest,DescribeDataSourcesResult> asyncHandler)` Simplified method form for invoking the DescribeDataSources operation with an AsyncHandler.
`Future<DescribeDataSourcesResult>` AmazonMachineLearningAsyncClient.`describeDataSourcesAsync(AsyncHandler<DescribeDataSourcesRequest,DescribeDataSourcesResult> asyncHandler)` Simplified method form for invoking the DescribeDataSources operation with an AsyncHandler.
`Future<DescribeDataSourcesResult>` AmazonMachineLearningAsync.`describeDataSourcesAsync(AsyncHandler<DescribeDataSourcesRequest,DescribeDataSourcesResult> asyncHandler)` Simplified method form for invoking the DescribeDataSources operation with an AsyncHandler.
`Future<DescribeDataSourcesResult>` AbstractAmazonMachineLearningAsync.`describeDataSourcesAsync(DescribeDataSourcesRequest request, AsyncHandler<DescribeDataSourcesRequest,DescribeDataSourcesResult> asyncHandler)`
`Future<DescribeDataSourcesResult>` AmazonMachineLearningAsyncClient.`describeDataSourcesAsync(DescribeDataSourcesRequest request, AsyncHandler<DescribeDataSourcesRequest,DescribeDataSourcesResult> asyncHandler)`
`Future<DescribeDataSourcesResult>` AmazonMachineLearningAsync.`describeDataSourcesAsync(DescribeDataSourcesRequest describeDataSourcesRequest, AsyncHandler<DescribeDataSourcesRequest,DescribeDataSourcesResult> asyncHandler)` Returns a list of `DataSource` that match the search criteria in the request.

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

Methods in com.amazonaws.services.machinelearning.model that return DescribeDataSourcesRequest
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`clone()`
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withEQ(String eQ)` The equal to operator.
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withFilterVariable(DataSourceFilterVariable filterVariable)` Use one of the following variables to filter a list of `DataSource`:
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withFilterVariable(String filterVariable)` Use one of the following variables to filter a list of `DataSource`:
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withGE(String gE)` The greater than or equal to operator.
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withGT(String gT)` The greater than operator.
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withLE(String lE)` The less than or equal to operator.
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withLimit(Integer limit)` The maximum number of `DataSource` to include in the result.
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withLT(String lT)` The less than operator.
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withNE(String nE)` The not equal to operator.
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withNextToken(String nextToken)` The ID of the page in the paginated results.
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withPrefix(String prefix)` A string that is found at the beginning of a variable, such as `Name` or `Id`.
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withSortOrder(SortOrder sortOrder)` A two-value parameter that determines the sequence of the resulting list of `DataSource`.
`DescribeDataSourcesRequest` DescribeDataSourcesRequest.`withSortOrder(String sortOrder)` A two-value parameter that determines the sequence of the resulting list of `DataSource`.

### Uses of DescribeDataSourcesRequest in com.amazonaws.services.machinelearning.waiters

Methods in com.amazonaws.services.machinelearning.waiters that return types with arguments of type DescribeDataSourcesRequest

`Waiter<DescribeDataSourcesRequest>`

AmazonMachineLearningWaiters.`dataSourceAvailable()`
Builds a DataSourceAvailable waiter by using custom parameters waiterParameters and other parameters defined in the waiters specification, and then polls until it determines whether the resource entered the desired state or not, where polling criteria is bound by either default polling strategy or custom polling strategy.

Methods in com.amazonaws.services.machinelearning.waiters with parameters of type DescribeDataSourcesRequest
`DescribeDataSourcesResult` DescribeDataSourcesFunction.`apply(DescribeDataSourcesRequest describeDataSourcesRequest)` Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result