@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AmazonMachineLearningWaiters extends Object
| Constructor and Description | 
|---|
| AmazonMachineLearningWaiters(AmazonMachineLearning client)Constructs a new AmazonMachineLearningWaiters with the given client | 
| Modifier and Type | Method and Description | 
|---|---|
| Waiter<DescribeBatchPredictionsRequest> | batchPredictionAvailable()Builds a BatchPredictionAvailable 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. | 
| Waiter<DescribeDataSourcesRequest> | 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. | 
| Waiter<DescribeEvaluationsRequest> | evaluationAvailable()Builds a EvaluationAvailable 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. | 
| Waiter<DescribeMLModelsRequest> | mLModelAvailable()Builds a MLModelAvailable 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. | 
| void | shutdown() | 
public AmazonMachineLearningWaiters(AmazonMachineLearning client)
client - Service clientpublic Waiter<DescribeBatchPredictionsRequest> batchPredictionAvailable()
public Waiter<DescribeMLModelsRequest> mLModelAvailable()
public Waiter<DescribeDataSourcesRequest> dataSourceAvailable()
public Waiter<DescribeEvaluationsRequest> evaluationAvailable()
public void shutdown()
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