@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AmazonMachineLearningWaiters extends Object
Constructor and Description |
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AmazonMachineLearningWaiters(AmazonMachineLearning client)
Constructs a new AmazonMachineLearningWaiters with the given client
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Modifier and Type | Method and Description |
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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.
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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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