Uses of Class
software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest

Packages that use DescribeDataSourcesRequest

Package	Description
software.amazon.awssdk.services.machinelearning	Definition of the public APIs exposed by Amazon Machine Learning
software.amazon.awssdk.services.machinelearning.transform
software.amazon.awssdk.services.machinelearning.waiters

Uses of DescribeDataSourcesRequest in software.amazon.awssdk.services.machinelearning

Methods in software.amazon.awssdk.services.machinelearning with parameters of type DescribeDataSourcesRequest

Modifier and Type	Method and Description
default DescribeDataSourcesResponse	MachineLearningClient.describeDataSources(DescribeDataSourcesRequest describeDataSourcesRequest) Returns a list of DataSource that match the search criteria in the request.
default CompletableFuture<DescribeDataSourcesResponse>	MachineLearningAsyncClient.describeDataSources(DescribeDataSourcesRequest describeDataSourcesRequest) Returns a list of DataSource that match the search criteria in the request.

Uses of DescribeDataSourcesRequest in software.amazon.awssdk.services.machinelearning.transform

Methods in software.amazon.awssdk.services.machinelearning.transform that return types with arguments of type DescribeDataSourcesRequest

Modifier and Type	Method and Description
Request<DescribeDataSourcesRequest>	DescribeDataSourcesRequestMarshaller.marshall(DescribeDataSourcesRequest describeDataSourcesRequest)

Methods in software.amazon.awssdk.services.machinelearning.transform with parameters of type DescribeDataSourcesRequest

Modifier and Type	Method and Description
Request<DescribeDataSourcesRequest>	DescribeDataSourcesRequestMarshaller.marshall(DescribeDataSourcesRequest describeDataSourcesRequest)
void	DescribeDataSourcesRequestModelMarshaller.marshall(DescribeDataSourcesRequest describeDataSourcesRequest, ProtocolMarshaller protocolMarshaller) Marshall the given parameter object.

Uses of DescribeDataSourcesRequest in software.amazon.awssdk.services.machinelearning.waiters

Methods in software.amazon.awssdk.services.machinelearning.waiters that return types with arguments of type DescribeDataSourcesRequest

Modifier and Type	Method and Description
Waiter<DescribeDataSourcesRequest>	MachineLearningClientWaiters.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 software.amazon.awssdk.services.machinelearning.waiters with parameters of type DescribeDataSourcesRequest

Modifier and Type	Method and Description
DescribeDataSourcesResponse	DescribeDataSourcesFunction.apply(DescribeDataSourcesRequest describeDataSourcesRequest) Makes a call to the operation specified by the waiter by taking the corresponding request and returns the corresponding result