Interface MachineLearningWaiter

All Superinterfaces:

AutoCloseable, SdkAutoCloseable

@Generated("software.amazon.awssdk:codegen")
@ThreadSafe
@Immutable
public interface MachineLearningWaiter
extends SdkAutoCloseable

Waiter utility class that polls a resource until a desired state is reached or until it is determined that the resource will never enter into the desired state. This can be created using the static builder() method

Nested Class Summary

Nested Classes

Modifier and Type	Interface	Description
static interface	MachineLearningWaiter.Builder

Method Summary

Modifier and Type	Method	Description
static MachineLearningWaiter.Builder	builder()	Create a builder that can be used to configure and create a MachineLearningWaiter.
static MachineLearningWaiter	create()	Create an instance of MachineLearningWaiter with the default configuration.
default WaiterResponse<DescribeBatchPredictionsResponse>	waitUntilBatchPredictionAvailable(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)	Polls MachineLearningClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state.
default WaiterResponse<DescribeBatchPredictionsResponse>	waitUntilBatchPredictionAvailable(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest, Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)	Polls MachineLearningClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state.
default WaiterResponse<DescribeBatchPredictionsResponse>	waitUntilBatchPredictionAvailable(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)	Polls MachineLearningClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state
default WaiterResponse<DescribeBatchPredictionsResponse>	waitUntilBatchPredictionAvailable(DescribeBatchPredictionsRequest describeBatchPredictionsRequest, WaiterOverrideConfiguration overrideConfig)	Polls MachineLearningClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state
default WaiterResponse<DescribeDataSourcesResponse>	waitUntilDataSourceAvailable(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)	Polls MachineLearningClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state.
default WaiterResponse<DescribeDataSourcesResponse>	waitUntilDataSourceAvailable(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest, Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)	Polls MachineLearningClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state.
default WaiterResponse<DescribeDataSourcesResponse>	waitUntilDataSourceAvailable(DescribeDataSourcesRequest describeDataSourcesRequest)	Polls MachineLearningClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state
default WaiterResponse<DescribeDataSourcesResponse>	waitUntilDataSourceAvailable(DescribeDataSourcesRequest describeDataSourcesRequest, WaiterOverrideConfiguration overrideConfig)	Polls MachineLearningClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state
default WaiterResponse<DescribeEvaluationsResponse>	waitUntilEvaluationAvailable(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)	Polls MachineLearningClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state.
default WaiterResponse<DescribeEvaluationsResponse>	waitUntilEvaluationAvailable(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest, Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)	Polls MachineLearningClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state.
default WaiterResponse<DescribeEvaluationsResponse>	waitUntilEvaluationAvailable(DescribeEvaluationsRequest describeEvaluationsRequest)	Polls MachineLearningClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state
default WaiterResponse<DescribeEvaluationsResponse>	waitUntilEvaluationAvailable(DescribeEvaluationsRequest describeEvaluationsRequest, WaiterOverrideConfiguration overrideConfig)	Polls MachineLearningClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state
default WaiterResponse<DescribeMlModelsResponse>	waitUntilMLModelAvailable(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest)	Polls MachineLearningClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state.
default WaiterResponse<DescribeMlModelsResponse>	waitUntilMLModelAvailable(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest, Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)	Polls MachineLearningClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state.
default WaiterResponse<DescribeMlModelsResponse>	waitUntilMLModelAvailable(DescribeMlModelsRequest describeMlModelsRequest)	Polls MachineLearningClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state
default WaiterResponse<DescribeMlModelsResponse>	waitUntilMLModelAvailable(DescribeMlModelsRequest describeMlModelsRequest, WaiterOverrideConfiguration overrideConfig)	Polls MachineLearningClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state

Methods inherited from interface software.amazon.awssdk.utils.SdkAutoCloseable

close

Method Details

waitUntilBatchPredictionAvailable

default WaiterResponse<DescribeBatchPredictionsResponse> waitUntilBatchPredictionAvailable(DescribeBatchPredictionsRequest describeBatchPredictionsRequest)

Polls MachineLearningClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeBatchPredictionsRequest - the request to be used for polling

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilBatchPredictionAvailable

default WaiterResponse<DescribeBatchPredictionsResponse> waitUntilBatchPredictionAvailable(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest)

Polls MachineLearningClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder without the need to create one manually using DescribeBatchPredictionsRequest.builder()

Parameters:

describeBatchPredictionsRequest - The consumer that will configure the request to be used for polling

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilBatchPredictionAvailable

default WaiterResponse<DescribeBatchPredictionsResponse> waitUntilBatchPredictionAvailable(DescribeBatchPredictionsRequest describeBatchPredictionsRequest,
 WaiterOverrideConfiguration overrideConfig)

Polls MachineLearningClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeBatchPredictionsRequest - The request to be used for polling

overrideConfig - Per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilBatchPredictionAvailable

default WaiterResponse<DescribeBatchPredictionsResponse> waitUntilBatchPredictionAvailable(Consumer<DescribeBatchPredictionsRequest.Builder> describeBatchPredictionsRequest,
 Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)

Polls MachineLearningClient.describeBatchPredictions(software.amazon.awssdk.services.machinelearning.model.DescribeBatchPredictionsRequest) API until the desired condition BatchPredictionAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder and instance of the override config builder

Parameters:

describeBatchPredictionsRequest - The consumer that will configure the request to be used for polling

overrideConfig - The consumer that will configure the per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilDataSourceAvailable

default WaiterResponse<DescribeDataSourcesResponse> waitUntilDataSourceAvailable(DescribeDataSourcesRequest describeDataSourcesRequest)

Polls MachineLearningClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeDataSourcesRequest - the request to be used for polling

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilDataSourceAvailable

default WaiterResponse<DescribeDataSourcesResponse> waitUntilDataSourceAvailable(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest)

Polls MachineLearningClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder without the need to create one manually using DescribeDataSourcesRequest.builder()

Parameters:

describeDataSourcesRequest - The consumer that will configure the request to be used for polling

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilDataSourceAvailable

default WaiterResponse<DescribeDataSourcesResponse> waitUntilDataSourceAvailable(DescribeDataSourcesRequest describeDataSourcesRequest,
 WaiterOverrideConfiguration overrideConfig)

Polls MachineLearningClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeDataSourcesRequest - The request to be used for polling

overrideConfig - Per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilDataSourceAvailable

default WaiterResponse<DescribeDataSourcesResponse> waitUntilDataSourceAvailable(Consumer<DescribeDataSourcesRequest.Builder> describeDataSourcesRequest,
 Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)

Polls MachineLearningClient.describeDataSources(software.amazon.awssdk.services.machinelearning.model.DescribeDataSourcesRequest) API until the desired condition DataSourceAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder and instance of the override config builder

Parameters:

describeDataSourcesRequest - The consumer that will configure the request to be used for polling

overrideConfig - The consumer that will configure the per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilEvaluationAvailable

default WaiterResponse<DescribeEvaluationsResponse> waitUntilEvaluationAvailable(DescribeEvaluationsRequest describeEvaluationsRequest)

Polls MachineLearningClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeEvaluationsRequest - the request to be used for polling

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilEvaluationAvailable

default WaiterResponse<DescribeEvaluationsResponse> waitUntilEvaluationAvailable(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest)

Polls MachineLearningClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder without the need to create one manually using DescribeEvaluationsRequest.builder()

Parameters:

describeEvaluationsRequest - The consumer that will configure the request to be used for polling

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilEvaluationAvailable

default WaiterResponse<DescribeEvaluationsResponse> waitUntilEvaluationAvailable(DescribeEvaluationsRequest describeEvaluationsRequest,
 WaiterOverrideConfiguration overrideConfig)

Polls MachineLearningClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeEvaluationsRequest - The request to be used for polling

overrideConfig - Per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilEvaluationAvailable

default WaiterResponse<DescribeEvaluationsResponse> waitUntilEvaluationAvailable(Consumer<DescribeEvaluationsRequest.Builder> describeEvaluationsRequest,
 Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)

Polls MachineLearningClient.describeEvaluations(software.amazon.awssdk.services.machinelearning.model.DescribeEvaluationsRequest) API until the desired condition EvaluationAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder and instance of the override config builder

Parameters:

describeEvaluationsRequest - The consumer that will configure the request to be used for polling

overrideConfig - The consumer that will configure the per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilMLModelAvailable

default WaiterResponse<DescribeMlModelsResponse> waitUntilMLModelAvailable(DescribeMlModelsRequest describeMlModelsRequest)

Polls MachineLearningClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeMlModelsRequest - the request to be used for polling

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilMLModelAvailable

default WaiterResponse<DescribeMlModelsResponse> waitUntilMLModelAvailable(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest)

Polls MachineLearningClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder without the need to create one manually using DescribeMlModelsRequest.builder()

Parameters:

describeMlModelsRequest - The consumer that will configure the request to be used for polling

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilMLModelAvailable

default WaiterResponse<DescribeMlModelsResponse> waitUntilMLModelAvailable(DescribeMlModelsRequest describeMlModelsRequest,
 WaiterOverrideConfiguration overrideConfig)

Polls MachineLearningClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state

Parameters:

describeMlModelsRequest - The request to be used for polling

overrideConfig - Per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

waitUntilMLModelAvailable

default WaiterResponse<DescribeMlModelsResponse> waitUntilMLModelAvailable(Consumer<DescribeMlModelsRequest.Builder> describeMlModelsRequest,
 Consumer<WaiterOverrideConfiguration.Builder> overrideConfig)

Polls MachineLearningClient.describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest) API until the desired condition MLModelAvailable is met, or until it is determined that the resource will never enter into the desired state.

This is a convenience method to create an instance of the request builder and instance of the override config builder

Parameters:

describeMlModelsRequest - The consumer that will configure the request to be used for polling

overrideConfig - The consumer that will configure the per request override configuration for waiters

Returns:

WaiterResponse containing either a response or an exception that has matched with the waiter success condition

builder

static MachineLearningWaiter.Builder builder()

Create a builder that can be used to configure and create a MachineLearningWaiter.

Returns:

a builder

create

static MachineLearningWaiter create()

Create an instance of MachineLearningWaiter with the default configuration.

A default MachineLearningClient will be created to poll resources. It is recommended to share a single instance of the waiter created via this method. If it is not desirable to share a waiter instance, invoke SdkAutoCloseable.close() to release the resources once the waiter is not needed.

Returns:

an instance of MachineLearningWaiter