Package software.amazon.awssdk.services.machinelearning.waiters

Class MachineLearningClientWaiters

java.lang.Object

software.amazon.awssdk.services.machinelearning.waiters.MachineLearningClientWaiters

@Generated("software.amazon.awssdk:aws-java-sdk-code-generator")
public class MachineLearningClientWaiters
extends Object

Constructor Summary

Constructors

Constructor	Description
MachineLearningClientWaiters(MachineLearningClient client)	Constructs a new MachineLearningClientWaiters with the given client

Method Summary

Modifier and Type	Method	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.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MachineLearningClientWaiters

public MachineLearningClientWaiters(MachineLearningClient client)

Constructs a new MachineLearningClientWaiters with the given client

Parameters:

client - Service client

Method Detail

batchPredictionAvailable

public 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.

mlModelAvailable

public 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.

dataSourceAvailable

public 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.

evaluationAvailable

public 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.