All Superinterfaces:: AutoCloseable, AwsClient, SdkAutoCloseable, SdkClient

@Generated("software.amazon.awssdk:codegen") @ThreadSafe public interface ForecastClient extends AwsClient

Service client for accessing Amazon Forecast Service. This can be created using the static builder() method.

Provides APIs for creating and managing Amazon Forecast resources.

Field Summary

Fields

Modifier and Type

Field

Description

static final String

SERVICE_METADATA_ID

Value for looking up the service's metadata from the ServiceMetadataProvider.

static final String

SERVICE_NAME
Method Summary

Modifier and Type

Method

Description

static ForecastClientBuilder

builder()

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

static ForecastClient

create()

Create a ForecastClient with the region loaded from the DefaultAwsRegionProviderChain and credentials loaded from the DefaultCredentialsProvider.

default CreateAutoPredictorResponse

createAutoPredictor(Consumer<CreateAutoPredictorRequest.Builder> createAutoPredictorRequest)

Creates an Amazon Forecast predictor.

default CreateAutoPredictorResponse

createAutoPredictor(CreateAutoPredictorRequest createAutoPredictorRequest)

Creates an Amazon Forecast predictor.

default CreateDatasetResponse

createDataset(Consumer<CreateDatasetRequest.Builder> createDatasetRequest)

Creates an Amazon Forecast dataset.

default CreateDatasetResponse

createDataset(CreateDatasetRequest createDatasetRequest)

Creates an Amazon Forecast dataset.

default CreateDatasetGroupResponse

createDatasetGroup(Consumer<CreateDatasetGroupRequest.Builder> createDatasetGroupRequest)

Creates a dataset group, which holds a collection of related datasets.

default CreateDatasetGroupResponse

createDatasetGroup(CreateDatasetGroupRequest createDatasetGroupRequest)

Creates a dataset group, which holds a collection of related datasets.

default CreateDatasetImportJobResponse

createDatasetImportJob(Consumer<CreateDatasetImportJobRequest.Builder> createDatasetImportJobRequest)

Imports your training data to an Amazon Forecast dataset.

default CreateDatasetImportJobResponse

createDatasetImportJob(CreateDatasetImportJobRequest createDatasetImportJobRequest)

Imports your training data to an Amazon Forecast dataset.

default CreateExplainabilityResponse

createExplainability(Consumer<CreateExplainabilityRequest.Builder> createExplainabilityRequest)

default CreateExplainabilityResponse

createExplainability(CreateExplainabilityRequest createExplainabilityRequest)

default CreateExplainabilityExportResponse

createExplainabilityExport(Consumer<CreateExplainabilityExportRequest.Builder> createExplainabilityExportRequest)

Exports an Explainability resource created by the CreateExplainability operation.

default CreateExplainabilityExportResponse

createExplainabilityExport(CreateExplainabilityExportRequest createExplainabilityExportRequest)

Exports an Explainability resource created by the CreateExplainability operation.

default CreateForecastResponse

createForecast(Consumer<CreateForecastRequest.Builder> createForecastRequest)

Creates a forecast for each item in the TARGET_TIME_SERIES dataset that was used to train the predictor.

default CreateForecastResponse

createForecast(CreateForecastRequest createForecastRequest)

Creates a forecast for each item in the TARGET_TIME_SERIES dataset that was used to train the predictor.

default CreateForecastExportJobResponse

createForecastExportJob(Consumer<CreateForecastExportJobRequest.Builder> createForecastExportJobRequest)

Exports a forecast created by the CreateForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket.

default CreateForecastExportJobResponse

createForecastExportJob(CreateForecastExportJobRequest createForecastExportJobRequest)

Exports a forecast created by the CreateForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket.

default CreateMonitorResponse

createMonitor(Consumer<CreateMonitorRequest.Builder> createMonitorRequest)

Creates a predictor monitor resource for an existing auto predictor.

default CreateMonitorResponse

createMonitor(CreateMonitorRequest createMonitorRequest)

Creates a predictor monitor resource for an existing auto predictor.

default CreatePredictorResponse

createPredictor(Consumer<CreatePredictorRequest.Builder> createPredictorRequest)

default CreatePredictorResponse

createPredictor(CreatePredictorRequest createPredictorRequest)

default CreatePredictorBacktestExportJobResponse

createPredictorBacktestExportJob(Consumer<CreatePredictorBacktestExportJobRequest.Builder> createPredictorBacktestExportJobRequest)

Exports backtest forecasts and accuracy metrics generated by the CreateAutoPredictor or CreatePredictor operations.

default CreatePredictorBacktestExportJobResponse

createPredictorBacktestExportJob(CreatePredictorBacktestExportJobRequest createPredictorBacktestExportJobRequest)

Exports backtest forecasts and accuracy metrics generated by the CreateAutoPredictor or CreatePredictor operations.

default CreateWhatIfAnalysisResponse

createWhatIfAnalysis(Consumer<CreateWhatIfAnalysisRequest.Builder> createWhatIfAnalysisRequest)

What-if analysis is a scenario modeling technique where you make a hypothetical change to a time series and compare the forecasts generated by these changes against the baseline, unchanged time series.

default CreateWhatIfAnalysisResponse

createWhatIfAnalysis(CreateWhatIfAnalysisRequest createWhatIfAnalysisRequest)

What-if analysis is a scenario modeling technique where you make a hypothetical change to a time series and compare the forecasts generated by these changes against the baseline, unchanged time series.

default CreateWhatIfForecastResponse

createWhatIfForecast(Consumer<CreateWhatIfForecastRequest.Builder> createWhatIfForecastRequest)

A what-if forecast is a forecast that is created from a modified version of the baseline forecast.

default CreateWhatIfForecastResponse

createWhatIfForecast(CreateWhatIfForecastRequest createWhatIfForecastRequest)

A what-if forecast is a forecast that is created from a modified version of the baseline forecast.

default CreateWhatIfForecastExportResponse

createWhatIfForecastExport(Consumer<CreateWhatIfForecastExportRequest.Builder> createWhatIfForecastExportRequest)

Exports a forecast created by the CreateWhatIfForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket.

default CreateWhatIfForecastExportResponse

createWhatIfForecastExport(CreateWhatIfForecastExportRequest createWhatIfForecastExportRequest)

Exports a forecast created by the CreateWhatIfForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket.

default DeleteDatasetResponse

deleteDataset(Consumer<DeleteDatasetRequest.Builder> deleteDatasetRequest)

Deletes an Amazon Forecast dataset that was created using the CreateDataset operation.

default DeleteDatasetResponse

deleteDataset(DeleteDatasetRequest deleteDatasetRequest)

Deletes an Amazon Forecast dataset that was created using the CreateDataset operation.

default DeleteDatasetGroupResponse

deleteDatasetGroup(Consumer<DeleteDatasetGroupRequest.Builder> deleteDatasetGroupRequest)

Deletes a dataset group created using the CreateDatasetGroup operation.

default DeleteDatasetGroupResponse

deleteDatasetGroup(DeleteDatasetGroupRequest deleteDatasetGroupRequest)

Deletes a dataset group created using the CreateDatasetGroup operation.

default DeleteDatasetImportJobResponse

deleteDatasetImportJob(Consumer<DeleteDatasetImportJobRequest.Builder> deleteDatasetImportJobRequest)

Deletes a dataset import job created using the CreateDatasetImportJob operation.

default DeleteDatasetImportJobResponse

deleteDatasetImportJob(DeleteDatasetImportJobRequest deleteDatasetImportJobRequest)

Deletes a dataset import job created using the CreateDatasetImportJob operation.

default DeleteExplainabilityResponse

deleteExplainability(Consumer<DeleteExplainabilityRequest.Builder> deleteExplainabilityRequest)

Deletes an Explainability resource.

default DeleteExplainabilityResponse

deleteExplainability(DeleteExplainabilityRequest deleteExplainabilityRequest)

Deletes an Explainability resource.

default DeleteExplainabilityExportResponse

deleteExplainabilityExport(Consumer<DeleteExplainabilityExportRequest.Builder> deleteExplainabilityExportRequest)

Deletes an Explainability export.

default DeleteExplainabilityExportResponse

deleteExplainabilityExport(DeleteExplainabilityExportRequest deleteExplainabilityExportRequest)

Deletes an Explainability export.

default DeleteForecastResponse

deleteForecast(Consumer<DeleteForecastRequest.Builder> deleteForecastRequest)

Deletes a forecast created using the CreateForecast operation.

default DeleteForecastResponse

deleteForecast(DeleteForecastRequest deleteForecastRequest)

Deletes a forecast created using the CreateForecast operation.

default DeleteForecastExportJobResponse

deleteForecastExportJob(Consumer<DeleteForecastExportJobRequest.Builder> deleteForecastExportJobRequest)

Deletes a forecast export job created using the CreateForecastExportJob operation.

default DeleteForecastExportJobResponse

deleteForecastExportJob(DeleteForecastExportJobRequest deleteForecastExportJobRequest)

Deletes a forecast export job created using the CreateForecastExportJob operation.

default DeleteMonitorResponse

deleteMonitor(Consumer<DeleteMonitorRequest.Builder> deleteMonitorRequest)

Deletes a monitor resource.

default DeleteMonitorResponse

deleteMonitor(DeleteMonitorRequest deleteMonitorRequest)

Deletes a monitor resource.

default DeletePredictorResponse

deletePredictor(Consumer<DeletePredictorRequest.Builder> deletePredictorRequest)

Deletes a predictor created using the DescribePredictor or CreatePredictor operations.

default DeletePredictorResponse

deletePredictor(DeletePredictorRequest deletePredictorRequest)

Deletes a predictor created using the DescribePredictor or CreatePredictor operations.

default DeletePredictorBacktestExportJobResponse

deletePredictorBacktestExportJob(Consumer<DeletePredictorBacktestExportJobRequest.Builder> deletePredictorBacktestExportJobRequest)

Deletes a predictor backtest export job.

default DeletePredictorBacktestExportJobResponse

deletePredictorBacktestExportJob(DeletePredictorBacktestExportJobRequest deletePredictorBacktestExportJobRequest)

Deletes a predictor backtest export job.

default DeleteResourceTreeResponse

deleteResourceTree(Consumer<DeleteResourceTreeRequest.Builder> deleteResourceTreeRequest)

Deletes an entire resource tree.

default DeleteResourceTreeResponse

deleteResourceTree(DeleteResourceTreeRequest deleteResourceTreeRequest)

Deletes an entire resource tree.

default DeleteWhatIfAnalysisResponse

deleteWhatIfAnalysis(Consumer<DeleteWhatIfAnalysisRequest.Builder> deleteWhatIfAnalysisRequest)

Deletes a what-if analysis created using the CreateWhatIfAnalysis operation.

default DeleteWhatIfAnalysisResponse

deleteWhatIfAnalysis(DeleteWhatIfAnalysisRequest deleteWhatIfAnalysisRequest)

Deletes a what-if analysis created using the CreateWhatIfAnalysis operation.

default DeleteWhatIfForecastResponse

deleteWhatIfForecast(Consumer<DeleteWhatIfForecastRequest.Builder> deleteWhatIfForecastRequest)

Deletes a what-if forecast created using the CreateWhatIfForecast operation.

default DeleteWhatIfForecastResponse

deleteWhatIfForecast(DeleteWhatIfForecastRequest deleteWhatIfForecastRequest)

Deletes a what-if forecast created using the CreateWhatIfForecast operation.

default DeleteWhatIfForecastExportResponse

deleteWhatIfForecastExport(Consumer<DeleteWhatIfForecastExportRequest.Builder> deleteWhatIfForecastExportRequest)

Deletes a what-if forecast export created using the CreateWhatIfForecastExport operation.

default DeleteWhatIfForecastExportResponse

deleteWhatIfForecastExport(DeleteWhatIfForecastExportRequest deleteWhatIfForecastExportRequest)

Deletes a what-if forecast export created using the CreateWhatIfForecastExport operation.

default DescribeAutoPredictorResponse

describeAutoPredictor(Consumer<DescribeAutoPredictorRequest.Builder> describeAutoPredictorRequest)

Describes a predictor created using the CreateAutoPredictor operation.

default DescribeAutoPredictorResponse

describeAutoPredictor(DescribeAutoPredictorRequest describeAutoPredictorRequest)

Describes a predictor created using the CreateAutoPredictor operation.

default DescribeDatasetResponse

describeDataset(Consumer<DescribeDatasetRequest.Builder> describeDatasetRequest)

Describes an Amazon Forecast dataset created using the CreateDataset operation.

default DescribeDatasetResponse

describeDataset(DescribeDatasetRequest describeDatasetRequest)

Describes an Amazon Forecast dataset created using the CreateDataset operation.

default DescribeDatasetGroupResponse

describeDatasetGroup(Consumer<DescribeDatasetGroupRequest.Builder> describeDatasetGroupRequest)

Describes a dataset group created using the CreateDatasetGroup operation.

default DescribeDatasetGroupResponse

describeDatasetGroup(DescribeDatasetGroupRequest describeDatasetGroupRequest)

Describes a dataset group created using the CreateDatasetGroup operation.

default DescribeDatasetImportJobResponse

describeDatasetImportJob(Consumer<DescribeDatasetImportJobRequest.Builder> describeDatasetImportJobRequest)

Describes a dataset import job created using the CreateDatasetImportJob operation.

default DescribeDatasetImportJobResponse

describeDatasetImportJob(DescribeDatasetImportJobRequest describeDatasetImportJobRequest)

Describes a dataset import job created using the CreateDatasetImportJob operation.

default DescribeExplainabilityResponse

describeExplainability(Consumer<DescribeExplainabilityRequest.Builder> describeExplainabilityRequest)

Describes an Explainability resource created using the CreateExplainability operation.

default DescribeExplainabilityResponse

describeExplainability(DescribeExplainabilityRequest describeExplainabilityRequest)

Describes an Explainability resource created using the CreateExplainability operation.

default DescribeExplainabilityExportResponse

describeExplainabilityExport(Consumer<DescribeExplainabilityExportRequest.Builder> describeExplainabilityExportRequest)

Describes an Explainability export created using the CreateExplainabilityExport operation.

default DescribeExplainabilityExportResponse

describeExplainabilityExport(DescribeExplainabilityExportRequest describeExplainabilityExportRequest)

Describes an Explainability export created using the CreateExplainabilityExport operation.

default DescribeForecastResponse

describeForecast(Consumer<DescribeForecastRequest.Builder> describeForecastRequest)

Describes a forecast created using the CreateForecast operation.

default DescribeForecastResponse

describeForecast(DescribeForecastRequest describeForecastRequest)

Describes a forecast created using the CreateForecast operation.

default DescribeForecastExportJobResponse

describeForecastExportJob(Consumer<DescribeForecastExportJobRequest.Builder> describeForecastExportJobRequest)

Describes a forecast export job created using the CreateForecastExportJob operation.

default DescribeForecastExportJobResponse

describeForecastExportJob(DescribeForecastExportJobRequest describeForecastExportJobRequest)

Describes a forecast export job created using the CreateForecastExportJob operation.

default DescribeMonitorResponse

describeMonitor(Consumer<DescribeMonitorRequest.Builder> describeMonitorRequest)

Describes a monitor resource.

default DescribeMonitorResponse

describeMonitor(DescribeMonitorRequest describeMonitorRequest)

Describes a monitor resource.

default DescribePredictorResponse

describePredictor(Consumer<DescribePredictorRequest.Builder> describePredictorRequest)

default DescribePredictorResponse

describePredictor(DescribePredictorRequest describePredictorRequest)

default DescribePredictorBacktestExportJobResponse

describePredictorBacktestExportJob(Consumer<DescribePredictorBacktestExportJobRequest.Builder> describePredictorBacktestExportJobRequest)

Describes a predictor backtest export job created using the CreatePredictorBacktestExportJob operation.

default DescribePredictorBacktestExportJobResponse

describePredictorBacktestExportJob(DescribePredictorBacktestExportJobRequest describePredictorBacktestExportJobRequest)

Describes a predictor backtest export job created using the CreatePredictorBacktestExportJob operation.

default DescribeWhatIfAnalysisResponse

describeWhatIfAnalysis(Consumer<DescribeWhatIfAnalysisRequest.Builder> describeWhatIfAnalysisRequest)

Describes the what-if analysis created using the CreateWhatIfAnalysis operation.

default DescribeWhatIfAnalysisResponse

describeWhatIfAnalysis(DescribeWhatIfAnalysisRequest describeWhatIfAnalysisRequest)

Describes the what-if analysis created using the CreateWhatIfAnalysis operation.

default DescribeWhatIfForecastResponse

describeWhatIfForecast(Consumer<DescribeWhatIfForecastRequest.Builder> describeWhatIfForecastRequest)

Describes the what-if forecast created using the CreateWhatIfForecast operation.

default DescribeWhatIfForecastResponse

describeWhatIfForecast(DescribeWhatIfForecastRequest describeWhatIfForecastRequest)

Describes the what-if forecast created using the CreateWhatIfForecast operation.

default DescribeWhatIfForecastExportResponse

describeWhatIfForecastExport(Consumer<DescribeWhatIfForecastExportRequest.Builder> describeWhatIfForecastExportRequest)

Describes the what-if forecast export created using the CreateWhatIfForecastExport operation.

default DescribeWhatIfForecastExportResponse

describeWhatIfForecastExport(DescribeWhatIfForecastExportRequest describeWhatIfForecastExportRequest)

Describes the what-if forecast export created using the CreateWhatIfForecastExport operation.

default GetAccuracyMetricsResponse

getAccuracyMetrics(Consumer<GetAccuracyMetricsRequest.Builder> getAccuracyMetricsRequest)

Provides metrics on the accuracy of the models that were trained by the CreatePredictor operation.

default GetAccuracyMetricsResponse

getAccuracyMetrics(GetAccuracyMetricsRequest getAccuracyMetricsRequest)

Provides metrics on the accuracy of the models that were trained by the CreatePredictor operation.

default ListDatasetGroupsResponse

listDatasetGroups(Consumer<ListDatasetGroupsRequest.Builder> listDatasetGroupsRequest)

Returns a list of dataset groups created using the CreateDatasetGroup operation.

default ListDatasetGroupsResponse

listDatasetGroups(ListDatasetGroupsRequest listDatasetGroupsRequest)

Returns a list of dataset groups created using the CreateDatasetGroup operation.

default ListDatasetGroupsIterable

listDatasetGroupsPaginator(Consumer<ListDatasetGroupsRequest.Builder> listDatasetGroupsRequest)

This is a variant of listDatasetGroups(software.amazon.awssdk.services.forecast.model.ListDatasetGroupsRequest) operation.

default ListDatasetGroupsIterable

listDatasetGroupsPaginator(ListDatasetGroupsRequest listDatasetGroupsRequest)

This is a variant of listDatasetGroups(software.amazon.awssdk.services.forecast.model.ListDatasetGroupsRequest) operation.

default ListDatasetImportJobsResponse

listDatasetImportJobs(Consumer<ListDatasetImportJobsRequest.Builder> listDatasetImportJobsRequest)

Returns a list of dataset import jobs created using the CreateDatasetImportJob operation.

default ListDatasetImportJobsResponse

listDatasetImportJobs(ListDatasetImportJobsRequest listDatasetImportJobsRequest)

Returns a list of dataset import jobs created using the CreateDatasetImportJob operation.

default ListDatasetImportJobsIterable

listDatasetImportJobsPaginator(Consumer<ListDatasetImportJobsRequest.Builder> listDatasetImportJobsRequest)

This is a variant of listDatasetImportJobs(software.amazon.awssdk.services.forecast.model.ListDatasetImportJobsRequest) operation.

default ListDatasetImportJobsIterable

listDatasetImportJobsPaginator(ListDatasetImportJobsRequest listDatasetImportJobsRequest)

This is a variant of listDatasetImportJobs(software.amazon.awssdk.services.forecast.model.ListDatasetImportJobsRequest) operation.

default ListDatasetsResponse

listDatasets(Consumer<ListDatasetsRequest.Builder> listDatasetsRequest)

Returns a list of datasets created using the CreateDataset operation.

default ListDatasetsResponse

listDatasets(ListDatasetsRequest listDatasetsRequest)

Returns a list of datasets created using the CreateDataset operation.

default ListDatasetsIterable

listDatasetsPaginator(Consumer<ListDatasetsRequest.Builder> listDatasetsRequest)

This is a variant of listDatasets(software.amazon.awssdk.services.forecast.model.ListDatasetsRequest) operation.

default ListDatasetsIterable

listDatasetsPaginator(ListDatasetsRequest listDatasetsRequest)

This is a variant of listDatasets(software.amazon.awssdk.services.forecast.model.ListDatasetsRequest) operation.

default ListExplainabilitiesResponse

listExplainabilities(Consumer<ListExplainabilitiesRequest.Builder> listExplainabilitiesRequest)

Returns a list of Explainability resources created using the CreateExplainability operation.

default ListExplainabilitiesResponse

listExplainabilities(ListExplainabilitiesRequest listExplainabilitiesRequest)

Returns a list of Explainability resources created using the CreateExplainability operation.

default ListExplainabilitiesIterable

listExplainabilitiesPaginator(Consumer<ListExplainabilitiesRequest.Builder> listExplainabilitiesRequest)

This is a variant of listExplainabilities(software.amazon.awssdk.services.forecast.model.ListExplainabilitiesRequest) operation.

default ListExplainabilitiesIterable

listExplainabilitiesPaginator(ListExplainabilitiesRequest listExplainabilitiesRequest)

This is a variant of listExplainabilities(software.amazon.awssdk.services.forecast.model.ListExplainabilitiesRequest) operation.

default ListExplainabilityExportsResponse

listExplainabilityExports(Consumer<ListExplainabilityExportsRequest.Builder> listExplainabilityExportsRequest)

Returns a list of Explainability exports created using the CreateExplainabilityExport operation.

default ListExplainabilityExportsResponse

listExplainabilityExports(ListExplainabilityExportsRequest listExplainabilityExportsRequest)

Returns a list of Explainability exports created using the CreateExplainabilityExport operation.

default ListExplainabilityExportsIterable

listExplainabilityExportsPaginator(Consumer<ListExplainabilityExportsRequest.Builder> listExplainabilityExportsRequest)

This is a variant of listExplainabilityExports(software.amazon.awssdk.services.forecast.model.ListExplainabilityExportsRequest) operation.

default ListExplainabilityExportsIterable

listExplainabilityExportsPaginator(ListExplainabilityExportsRequest listExplainabilityExportsRequest)

This is a variant of listExplainabilityExports(software.amazon.awssdk.services.forecast.model.ListExplainabilityExportsRequest) operation.

default ListForecastExportJobsResponse

listForecastExportJobs(Consumer<ListForecastExportJobsRequest.Builder> listForecastExportJobsRequest)

Returns a list of forecast export jobs created using the CreateForecastExportJob operation.

default ListForecastExportJobsResponse

listForecastExportJobs(ListForecastExportJobsRequest listForecastExportJobsRequest)

Returns a list of forecast export jobs created using the CreateForecastExportJob operation.

default ListForecastExportJobsIterable

listForecastExportJobsPaginator(Consumer<ListForecastExportJobsRequest.Builder> listForecastExportJobsRequest)

This is a variant of listForecastExportJobs(software.amazon.awssdk.services.forecast.model.ListForecastExportJobsRequest) operation.

default ListForecastExportJobsIterable

listForecastExportJobsPaginator(ListForecastExportJobsRequest listForecastExportJobsRequest)

This is a variant of listForecastExportJobs(software.amazon.awssdk.services.forecast.model.ListForecastExportJobsRequest) operation.

default ListForecastsResponse

listForecasts(Consumer<ListForecastsRequest.Builder> listForecastsRequest)

Returns a list of forecasts created using the CreateForecast operation.

default ListForecastsResponse

listForecasts(ListForecastsRequest listForecastsRequest)

Returns a list of forecasts created using the CreateForecast operation.

default ListForecastsIterable

listForecastsPaginator(Consumer<ListForecastsRequest.Builder> listForecastsRequest)

This is a variant of listForecasts(software.amazon.awssdk.services.forecast.model.ListForecastsRequest) operation.

default ListForecastsIterable

listForecastsPaginator(ListForecastsRequest listForecastsRequest)

This is a variant of listForecasts(software.amazon.awssdk.services.forecast.model.ListForecastsRequest) operation.

default ListMonitorEvaluationsResponse

listMonitorEvaluations(Consumer<ListMonitorEvaluationsRequest.Builder> listMonitorEvaluationsRequest)

Returns a list of the monitoring evaluation results and predictor events collected by the monitor resource during different windows of time.

default ListMonitorEvaluationsResponse

listMonitorEvaluations(ListMonitorEvaluationsRequest listMonitorEvaluationsRequest)

Returns a list of the monitoring evaluation results and predictor events collected by the monitor resource during different windows of time.

default ListMonitorEvaluationsIterable

listMonitorEvaluationsPaginator(Consumer<ListMonitorEvaluationsRequest.Builder> listMonitorEvaluationsRequest)

This is a variant of listMonitorEvaluations(software.amazon.awssdk.services.forecast.model.ListMonitorEvaluationsRequest) operation.

default ListMonitorEvaluationsIterable

listMonitorEvaluationsPaginator(ListMonitorEvaluationsRequest listMonitorEvaluationsRequest)

This is a variant of listMonitorEvaluations(software.amazon.awssdk.services.forecast.model.ListMonitorEvaluationsRequest) operation.

default ListMonitorsResponse

listMonitors(Consumer<ListMonitorsRequest.Builder> listMonitorsRequest)

Returns a list of monitors created with the CreateMonitor operation and CreateAutoPredictor operation.

default ListMonitorsResponse

listMonitors(ListMonitorsRequest listMonitorsRequest)

Returns a list of monitors created with the CreateMonitor operation and CreateAutoPredictor operation.

default ListMonitorsIterable

listMonitorsPaginator(Consumer<ListMonitorsRequest.Builder> listMonitorsRequest)

This is a variant of listMonitors(software.amazon.awssdk.services.forecast.model.ListMonitorsRequest) operation.

default ListMonitorsIterable

listMonitorsPaginator(ListMonitorsRequest listMonitorsRequest)

This is a variant of listMonitors(software.amazon.awssdk.services.forecast.model.ListMonitorsRequest) operation.

default ListPredictorBacktestExportJobsResponse

listPredictorBacktestExportJobs(Consumer<ListPredictorBacktestExportJobsRequest.Builder> listPredictorBacktestExportJobsRequest)

Returns a list of predictor backtest export jobs created using the CreatePredictorBacktestExportJob operation.

default ListPredictorBacktestExportJobsResponse

listPredictorBacktestExportJobs(ListPredictorBacktestExportJobsRequest listPredictorBacktestExportJobsRequest)

Returns a list of predictor backtest export jobs created using the CreatePredictorBacktestExportJob operation.

default ListPredictorBacktestExportJobsIterable

listPredictorBacktestExportJobsPaginator(Consumer<ListPredictorBacktestExportJobsRequest.Builder> listPredictorBacktestExportJobsRequest)

This is a variant of listPredictorBacktestExportJobs(software.amazon.awssdk.services.forecast.model.ListPredictorBacktestExportJobsRequest) operation.

default ListPredictorBacktestExportJobsIterable

listPredictorBacktestExportJobsPaginator(ListPredictorBacktestExportJobsRequest listPredictorBacktestExportJobsRequest)

This is a variant of listPredictorBacktestExportJobs(software.amazon.awssdk.services.forecast.model.ListPredictorBacktestExportJobsRequest) operation.

default ListPredictorsResponse

listPredictors(Consumer<ListPredictorsRequest.Builder> listPredictorsRequest)

Returns a list of predictors created using the CreateAutoPredictor or CreatePredictor operations.

default ListPredictorsResponse

listPredictors(ListPredictorsRequest listPredictorsRequest)

Returns a list of predictors created using the CreateAutoPredictor or CreatePredictor operations.

default ListPredictorsIterable

listPredictorsPaginator(Consumer<ListPredictorsRequest.Builder> listPredictorsRequest)

This is a variant of listPredictors(software.amazon.awssdk.services.forecast.model.ListPredictorsRequest) operation.

default ListPredictorsIterable

listPredictorsPaginator(ListPredictorsRequest listPredictorsRequest)

This is a variant of listPredictors(software.amazon.awssdk.services.forecast.model.ListPredictorsRequest) operation.

default ListTagsForResourceResponse

listTagsForResource(Consumer<ListTagsForResourceRequest.Builder> listTagsForResourceRequest)

Lists the tags for an Amazon Forecast resource.

default ListTagsForResourceResponse

listTagsForResource(ListTagsForResourceRequest listTagsForResourceRequest)

Lists the tags for an Amazon Forecast resource.

default ListWhatIfAnalysesResponse

listWhatIfAnalyses(Consumer<ListWhatIfAnalysesRequest.Builder> listWhatIfAnalysesRequest)

Returns a list of what-if analyses created using the CreateWhatIfAnalysis operation.

default ListWhatIfAnalysesResponse

listWhatIfAnalyses(ListWhatIfAnalysesRequest listWhatIfAnalysesRequest)

Returns a list of what-if analyses created using the CreateWhatIfAnalysis operation.

default ListWhatIfAnalysesIterable

listWhatIfAnalysesPaginator(Consumer<ListWhatIfAnalysesRequest.Builder> listWhatIfAnalysesRequest)

This is a variant of listWhatIfAnalyses(software.amazon.awssdk.services.forecast.model.ListWhatIfAnalysesRequest) operation.

default ListWhatIfAnalysesIterable

listWhatIfAnalysesPaginator(ListWhatIfAnalysesRequest listWhatIfAnalysesRequest)

This is a variant of listWhatIfAnalyses(software.amazon.awssdk.services.forecast.model.ListWhatIfAnalysesRequest) operation.

default ListWhatIfForecastExportsResponse

listWhatIfForecastExports(Consumer<ListWhatIfForecastExportsRequest.Builder> listWhatIfForecastExportsRequest)

Returns a list of what-if forecast exports created using the CreateWhatIfForecastExport operation.

default ListWhatIfForecastExportsResponse

listWhatIfForecastExports(ListWhatIfForecastExportsRequest listWhatIfForecastExportsRequest)

Returns a list of what-if forecast exports created using the CreateWhatIfForecastExport operation.

default ListWhatIfForecastExportsIterable

listWhatIfForecastExportsPaginator(Consumer<ListWhatIfForecastExportsRequest.Builder> listWhatIfForecastExportsRequest)

This is a variant of listWhatIfForecastExports(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastExportsRequest) operation.

default ListWhatIfForecastExportsIterable

listWhatIfForecastExportsPaginator(ListWhatIfForecastExportsRequest listWhatIfForecastExportsRequest)

This is a variant of listWhatIfForecastExports(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastExportsRequest) operation.

default ListWhatIfForecastsResponse

listWhatIfForecasts(Consumer<ListWhatIfForecastsRequest.Builder> listWhatIfForecastsRequest)

Returns a list of what-if forecasts created using the CreateWhatIfForecast operation.

default ListWhatIfForecastsResponse

listWhatIfForecasts(ListWhatIfForecastsRequest listWhatIfForecastsRequest)

Returns a list of what-if forecasts created using the CreateWhatIfForecast operation.

default ListWhatIfForecastsIterable

listWhatIfForecastsPaginator(Consumer<ListWhatIfForecastsRequest.Builder> listWhatIfForecastsRequest)

This is a variant of listWhatIfForecasts(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastsRequest) operation.

default ListWhatIfForecastsIterable

listWhatIfForecastsPaginator(ListWhatIfForecastsRequest listWhatIfForecastsRequest)

This is a variant of listWhatIfForecasts(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastsRequest) operation.

default ResumeResourceResponse

resumeResource(Consumer<ResumeResourceRequest.Builder> resumeResourceRequest)

Resumes a stopped monitor resource.

default ResumeResourceResponse

resumeResource(ResumeResourceRequest resumeResourceRequest)

Resumes a stopped monitor resource.

default ForecastServiceClientConfiguration

serviceClientConfiguration()

The SDK service client configuration exposes client settings to the user, e.g., ClientOverrideConfiguration

static ServiceMetadata

serviceMetadata()

default StopResourceResponse

stopResource(Consumer<StopResourceRequest.Builder> stopResourceRequest)

Stops a resource.

default StopResourceResponse

stopResource(StopResourceRequest stopResourceRequest)

Stops a resource.

default TagResourceResponse

tagResource(Consumer<TagResourceRequest.Builder> tagResourceRequest)

Associates the specified tags to a resource with the specified resourceArn.

default TagResourceResponse

tagResource(TagResourceRequest tagResourceRequest)

Associates the specified tags to a resource with the specified resourceArn.

default UntagResourceResponse

untagResource(Consumer<UntagResourceRequest.Builder> untagResourceRequest)

Deletes the specified tags from a resource.

default UntagResourceResponse

untagResource(UntagResourceRequest untagResourceRequest)

Deletes the specified tags from a resource.

default UpdateDatasetGroupResponse

updateDatasetGroup(Consumer<UpdateDatasetGroupRequest.Builder> updateDatasetGroupRequest)

Replaces the datasets in a dataset group with the specified datasets.

default UpdateDatasetGroupResponse

updateDatasetGroup(UpdateDatasetGroupRequest updateDatasetGroupRequest)

Replaces the datasets in a dataset group with the specified datasets.

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

Methods inherited from interface software.amazon.awssdk.core.SdkClient
serviceName

Field Details
- SERVICE_NAME
  
  static final String SERVICE_NAME
  See Also:
  
  Constant Field Values
- SERVICE_METADATA_ID
  
  static final String SERVICE_METADATA_ID
  
  Value for looking up the service's metadata from the ServiceMetadataProvider.
  See Also:
  
  Constant Field Values
Method Details
- createAutoPredictor
  
  default CreateAutoPredictorResponse createAutoPredictor(CreateAutoPredictorRequest createAutoPredictorRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  Creates an Amazon Forecast predictor.
  
  Amazon Forecast creates predictors with AutoPredictor, which involves applying the optimal combination of algorithms to each time series in your datasets. You can use CreateAutoPredictor to create new predictors or upgrade/retrain existing predictors.
  
  Creating new predictors
  
  The following parameters are required when creating a new predictor:
  
  PredictorName - A unique name for the predictor.
  
  DatasetGroupArn - The ARN of the dataset group used to train the predictor.
  
  ForecastFrequency - The granularity of your forecasts (hourly, daily, weekly, etc).
  
  ForecastHorizon - The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.
  
  When creating a new predictor, do not specify a value for ReferencePredictorArn.
  
  Upgrading and retraining predictors
  
  The following parameters are required when retraining or upgrading a predictor:
  
  PredictorName - A unique name for the predictor.
  
  ReferencePredictorArn - The ARN of the predictor to retrain or upgrade.
  
  When upgrading or retraining a predictor, only specify values for the ReferencePredictorArn and PredictorName.
  Parameters:
  
  createAutoPredictorRequest -
  
  Returns:
  
  Result of the CreateAutoPredictor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createAutoPredictor
  
  default CreateAutoPredictorResponse createAutoPredictor(Consumer<CreateAutoPredictorRequest.Builder> createAutoPredictorRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  Creates an Amazon Forecast predictor.
  
  Amazon Forecast creates predictors with AutoPredictor, which involves applying the optimal combination of algorithms to each time series in your datasets. You can use CreateAutoPredictor to create new predictors or upgrade/retrain existing predictors.
  
  Creating new predictors
  
  The following parameters are required when creating a new predictor:
  
  PredictorName - A unique name for the predictor.
  
  DatasetGroupArn - The ARN of the dataset group used to train the predictor.
  
  ForecastFrequency - The granularity of your forecasts (hourly, daily, weekly, etc).
  
  ForecastHorizon - The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.
  
  When creating a new predictor, do not specify a value for ReferencePredictorArn.
  
  Upgrading and retraining predictors
  
  The following parameters are required when retraining or upgrading a predictor:
  
  PredictorName - A unique name for the predictor.
  
  ReferencePredictorArn - The ARN of the predictor to retrain or upgrade.
  
  When upgrading or retraining a predictor, only specify values for the ReferencePredictorArn and PredictorName.
  
  This is a convenience which creates an instance of the CreateAutoPredictorRequest.Builder avoiding the need to create one manually via CreateAutoPredictorRequest.builder()
  Parameters:
  
  createAutoPredictorRequest - A Consumer that will call methods on CreateAutoPredictorRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateAutoPredictor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createDataset
  
  default CreateDatasetResponse createDataset(CreateDatasetRequest createDatasetRequest) throws InvalidInputException, ResourceAlreadyExistsException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  Creates an Amazon Forecast dataset. The information about the dataset that you provide helps Forecast understand how to consume the data for model training. This includes the following:
  
  DataFrequency - How frequently your historical time-series data is collected.
  
  Domain and DatasetType - Each dataset has an associated dataset domain and a type within the domain. Amazon Forecast provides a list of predefined domains and types within each domain. For each unique dataset domain and type within the domain, Amazon Forecast requires your data to include a minimum set of predefined fields.
  
  Schema - A schema specifies the fields in the dataset, including the field name and data type.
  
  After creating a dataset, you import your training data into it and add the dataset to a dataset group. You use the dataset group to create a predictor. For more information, see Importing datasets.
  
  To get a list of all your datasets, use the ListDatasets operation.
  
  For example Forecast datasets, see the Amazon Forecast Sample GitHub repository.
  
  The Status of a dataset must be ACTIVE before you can import training data. Use the DescribeDataset operation to get the status.
  Parameters:
  
  createDatasetRequest -
  
  Returns:
  
  Result of the CreateDataset operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createDataset
  
  default CreateDatasetResponse createDataset(Consumer<CreateDatasetRequest.Builder> createDatasetRequest) throws InvalidInputException, ResourceAlreadyExistsException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  Creates an Amazon Forecast dataset. The information about the dataset that you provide helps Forecast understand how to consume the data for model training. This includes the following:
  
  DataFrequency - How frequently your historical time-series data is collected.
  
  Domain and DatasetType - Each dataset has an associated dataset domain and a type within the domain. Amazon Forecast provides a list of predefined domains and types within each domain. For each unique dataset domain and type within the domain, Amazon Forecast requires your data to include a minimum set of predefined fields.
  
  Schema - A schema specifies the fields in the dataset, including the field name and data type.
  
  After creating a dataset, you import your training data into it and add the dataset to a dataset group. You use the dataset group to create a predictor. For more information, see Importing datasets.
  
  To get a list of all your datasets, use the ListDatasets operation.
  
  For example Forecast datasets, see the Amazon Forecast Sample GitHub repository.
  
  The Status of a dataset must be ACTIVE before you can import training data. Use the DescribeDataset operation to get the status.
  
  This is a convenience which creates an instance of the CreateDatasetRequest.Builder avoiding the need to create one manually via CreateDatasetRequest.builder()
  Parameters:
  
  createDatasetRequest - A Consumer that will call methods on CreateDatasetRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateDataset operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createDatasetGroup
  
  default CreateDatasetGroupResponse createDatasetGroup(CreateDatasetGroupRequest createDatasetGroupRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Creates a dataset group, which holds a collection of related datasets. You can add datasets to the dataset group when you create the dataset group, or later by using the UpdateDatasetGroup operation.
  
  After creating a dataset group and adding datasets, you use the dataset group when you create a predictor. For more information, see Dataset groups.
  
  To get a list of all your datasets groups, use the ListDatasetGroups operation.
  
  The Status of a dataset group must be ACTIVE before you can use the dataset group to create a predictor. To get the status, use the DescribeDatasetGroup operation.
  Parameters:
  
  createDatasetGroupRequest -
  
  Returns:
  
  Result of the CreateDatasetGroup operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createDatasetGroup
  
  default CreateDatasetGroupResponse createDatasetGroup(Consumer<CreateDatasetGroupRequest.Builder> createDatasetGroupRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Creates a dataset group, which holds a collection of related datasets. You can add datasets to the dataset group when you create the dataset group, or later by using the UpdateDatasetGroup operation.
  
  After creating a dataset group and adding datasets, you use the dataset group when you create a predictor. For more information, see Dataset groups.
  
  To get a list of all your datasets groups, use the ListDatasetGroups operation.
  
  The Status of a dataset group must be ACTIVE before you can use the dataset group to create a predictor. To get the status, use the DescribeDatasetGroup operation.
  
  This is a convenience which creates an instance of the CreateDatasetGroupRequest.Builder avoiding the need to create one manually via CreateDatasetGroupRequest.builder()
  Parameters:
  
  createDatasetGroupRequest - A Consumer that will call methods on CreateDatasetGroupRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateDatasetGroup operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createDatasetImportJob
  
  default CreateDatasetImportJobResponse createDatasetImportJob(CreateDatasetImportJobRequest createDatasetImportJobRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Imports your training data to an Amazon Forecast dataset. You provide the location of your training data in an Amazon Simple Storage Service (Amazon S3) bucket and the Amazon Resource Name (ARN) of the dataset that you want to import the data to.
  
  You must specify a DataSource object that includes an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data, as Amazon Forecast makes a copy of your data and processes it in an internal Amazon Web Services system. For more information, see Set up permissions.
  
  The training data must be in CSV or Parquet format. The delimiter must be a comma (,).
  
  You can specify the path to a specific file, the S3 bucket, or to a folder in the S3 bucket. For the latter two cases, Amazon Forecast imports all files up to the limit of 10,000 files.
  
  Because dataset imports are not aggregated, your most recent dataset import is the one that is used when training a predictor or generating a forecast. Make sure that your most recent dataset import contains all of the data you want to model off of, and not just the new data collected since the previous import.
  
  To get a list of all your dataset import jobs, filtered by specified criteria, use the ListDatasetImportJobs operation.
  Parameters:
  
  createDatasetImportJobRequest -
  
  Returns:
  
  Result of the CreateDatasetImportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createDatasetImportJob
  
  default CreateDatasetImportJobResponse createDatasetImportJob(Consumer<CreateDatasetImportJobRequest.Builder> createDatasetImportJobRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Imports your training data to an Amazon Forecast dataset. You provide the location of your training data in an Amazon Simple Storage Service (Amazon S3) bucket and the Amazon Resource Name (ARN) of the dataset that you want to import the data to.
  
  You must specify a DataSource object that includes an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data, as Amazon Forecast makes a copy of your data and processes it in an internal Amazon Web Services system. For more information, see Set up permissions.
  
  The training data must be in CSV or Parquet format. The delimiter must be a comma (,).
  
  You can specify the path to a specific file, the S3 bucket, or to a folder in the S3 bucket. For the latter two cases, Amazon Forecast imports all files up to the limit of 10,000 files.
  
  Because dataset imports are not aggregated, your most recent dataset import is the one that is used when training a predictor or generating a forecast. Make sure that your most recent dataset import contains all of the data you want to model off of, and not just the new data collected since the previous import.
  
  To get a list of all your dataset import jobs, filtered by specified criteria, use the ListDatasetImportJobs operation.
  
  This is a convenience which creates an instance of the CreateDatasetImportJobRequest.Builder avoiding the need to create one manually via CreateDatasetImportJobRequest.builder()
  Parameters:
  
  createDatasetImportJobRequest - A Consumer that will call methods on CreateDatasetImportJobRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateDatasetImportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createExplainability
  
  default CreateExplainabilityResponse createExplainability(CreateExplainabilityRequest createExplainabilityRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  Explainability is only available for Forecasts and Predictors generated from an AutoPredictor (CreateAutoPredictor)
  
  Creates an Amazon Forecast Explainability.
  
  Explainability helps you better understand how the attributes in your datasets impact forecast. Amazon Forecast uses a metric called Impact scores to quantify the relative impact of each attribute and determine whether they increase or decrease forecast values.
  
  To enable Forecast Explainability, your predictor must include at least one of the following: related time series, item metadata, or additional datasets like Holidays and the Weather Index.
  
  CreateExplainability accepts either a Predictor ARN or Forecast ARN. To receive aggregated Impact scores for all time series and time points in your datasets, provide a Predictor ARN. To receive Impact scores for specific time series and time points, provide a Forecast ARN.
  
  CreateExplainability with a Predictor ARN
  
  You can only have one Explainability resource per predictor. If you already enabled ExplainPredictor in CreateAutoPredictor, that predictor already has an Explainability resource.
  
  The following parameters are required when providing a Predictor ARN:
  
  ExplainabilityName - A unique name for the Explainability.
  
  ResourceArn - The Arn of the predictor.
  
  TimePointGranularity - Must be set to “ALL”.
  
  TimeSeriesGranularity - Must be set to “ALL”.
  
  Do not specify a value for the following parameters:
  
  DataSource - Only valid when TimeSeriesGranularity is “SPECIFIC”.
  
  Schema - Only valid when TimeSeriesGranularity is “SPECIFIC”.
  
  StartDateTime - Only valid when TimePointGranularity is “SPECIFIC”.
  
  EndDateTime - Only valid when TimePointGranularity is “SPECIFIC”.
  
  CreateExplainability with a Forecast ARN
  
  You can specify a maximum of 50 time series and 500 time points.
  
  The following parameters are required when providing a Predictor ARN:
  
  ExplainabilityName - A unique name for the Explainability.
  
  ResourceArn - The Arn of the forecast.
  
  TimePointGranularity - Either “ALL” or “SPECIFIC”.
  
  TimeSeriesGranularity - Either “ALL” or “SPECIFIC”.
  
  If you set TimeSeriesGranularity to “SPECIFIC”, you must also provide the following:
  
  DataSource - The S3 location of the CSV file specifying your time series.
  
  Schema - The Schema defines the attributes and attribute types listed in the Data Source.
  
  If you set TimePointGranularity to “SPECIFIC”, you must also provide the following:
  
  StartDateTime - The first timestamp in the range of time points.
  
  EndDateTime - The last timestamp in the range of time points.
  Parameters:
  
  createExplainabilityRequest -
  
  Returns:
  
  Result of the CreateExplainability operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createExplainability
  
  default CreateExplainabilityResponse createExplainability(Consumer<CreateExplainabilityRequest.Builder> createExplainabilityRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  Explainability is only available for Forecasts and Predictors generated from an AutoPredictor (CreateAutoPredictor)
  
  Creates an Amazon Forecast Explainability.
  
  Explainability helps you better understand how the attributes in your datasets impact forecast. Amazon Forecast uses a metric called Impact scores to quantify the relative impact of each attribute and determine whether they increase or decrease forecast values.
  
  To enable Forecast Explainability, your predictor must include at least one of the following: related time series, item metadata, or additional datasets like Holidays and the Weather Index.
  
  CreateExplainability accepts either a Predictor ARN or Forecast ARN. To receive aggregated Impact scores for all time series and time points in your datasets, provide a Predictor ARN. To receive Impact scores for specific time series and time points, provide a Forecast ARN.
  
  CreateExplainability with a Predictor ARN
  
  You can only have one Explainability resource per predictor. If you already enabled ExplainPredictor in CreateAutoPredictor, that predictor already has an Explainability resource.
  
  The following parameters are required when providing a Predictor ARN:
  
  ExplainabilityName - A unique name for the Explainability.
  
  ResourceArn - The Arn of the predictor.
  
  TimePointGranularity - Must be set to “ALL”.
  
  TimeSeriesGranularity - Must be set to “ALL”.
  
  Do not specify a value for the following parameters:
  
  DataSource - Only valid when TimeSeriesGranularity is “SPECIFIC”.
  
  Schema - Only valid when TimeSeriesGranularity is “SPECIFIC”.
  
  StartDateTime - Only valid when TimePointGranularity is “SPECIFIC”.
  
  EndDateTime - Only valid when TimePointGranularity is “SPECIFIC”.
  
  CreateExplainability with a Forecast ARN
  
  You can specify a maximum of 50 time series and 500 time points.
  
  The following parameters are required when providing a Predictor ARN:
  
  ExplainabilityName - A unique name for the Explainability.
  
  ResourceArn - The Arn of the forecast.
  
  TimePointGranularity - Either “ALL” or “SPECIFIC”.
  
  TimeSeriesGranularity - Either “ALL” or “SPECIFIC”.
  
  If you set TimeSeriesGranularity to “SPECIFIC”, you must also provide the following:
  
  DataSource - The S3 location of the CSV file specifying your time series.
  
  Schema - The Schema defines the attributes and attribute types listed in the Data Source.
  
  If you set TimePointGranularity to “SPECIFIC”, you must also provide the following:
  
  StartDateTime - The first timestamp in the range of time points.
  
  EndDateTime - The last timestamp in the range of time points.
  
  This is a convenience which creates an instance of the CreateExplainabilityRequest.Builder avoiding the need to create one manually via CreateExplainabilityRequest.builder()
  Parameters:
  
  createExplainabilityRequest - A Consumer that will call methods on CreateExplainabilityRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateExplainability operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createExplainabilityExport
  
  default CreateExplainabilityExportResponse createExplainabilityExport(CreateExplainabilityExportRequest createExplainabilityExportRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Exports an Explainability resource created by the CreateExplainability operation. Exported files are exported to an Amazon Simple Storage Service (Amazon S3) bucket.
  
  You must specify a DataDestination object that includes an Amazon S3 bucket and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.
  
  The Status of the export job must be ACTIVE before you can access the export in your Amazon S3 bucket. To get the status, use the DescribeExplainabilityExport operation.
  Parameters:
  
  createExplainabilityExportRequest -
  
  Returns:
  
  Result of the CreateExplainabilityExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createExplainabilityExport
  
  default CreateExplainabilityExportResponse createExplainabilityExport(Consumer<CreateExplainabilityExportRequest.Builder> createExplainabilityExportRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Exports an Explainability resource created by the CreateExplainability operation. Exported files are exported to an Amazon Simple Storage Service (Amazon S3) bucket.
  
  You must specify a DataDestination object that includes an Amazon S3 bucket and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.
  
  The Status of the export job must be ACTIVE before you can access the export in your Amazon S3 bucket. To get the status, use the DescribeExplainabilityExport operation.
  
  This is a convenience which creates an instance of the CreateExplainabilityExportRequest.Builder avoiding the need to create one manually via CreateExplainabilityExportRequest.builder()
  Parameters:
  
  createExplainabilityExportRequest - A Consumer that will call methods on CreateExplainabilityExportRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateExplainabilityExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createForecast
  
  default CreateForecastResponse createForecast(CreateForecastRequest createForecastRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Creates a forecast for each item in the TARGET_TIME_SERIES dataset that was used to train the predictor. This is known as inference. To retrieve the forecast for a single item at low latency, use the operation. To export the complete forecast into your Amazon Simple Storage Service (Amazon S3) bucket, use the CreateForecastExportJob operation.
  
  The range of the forecast is determined by the ForecastHorizon value, which you specify in the CreatePredictor request. When you query a forecast, you can request a specific date range within the forecast.
  
  To get a list of all your forecasts, use the ListForecasts operation.
  
  The forecasts generated by Amazon Forecast are in the same time zone as the dataset that was used to create the predictor.
  
  For more information, see howitworks-forecast.
  
  The Status of the forecast must be ACTIVE before you can query or export the forecast. Use the DescribeForecast operation to get the status.
  
  By default, a forecast includes predictions for every item (item_id) in the dataset group that was used to train the predictor. However, you can use the TimeSeriesSelector object to generate a forecast on a subset of time series. Forecast creation is skipped for any time series that you specify that are not in the input dataset. The forecast export file will not contain these time series or their forecasted values.
  Parameters:
  
  createForecastRequest -
  
  Returns:
  
  Result of the CreateForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createForecast
  
  default CreateForecastResponse createForecast(Consumer<CreateForecastRequest.Builder> createForecastRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Creates a forecast for each item in the TARGET_TIME_SERIES dataset that was used to train the predictor. This is known as inference. To retrieve the forecast for a single item at low latency, use the operation. To export the complete forecast into your Amazon Simple Storage Service (Amazon S3) bucket, use the CreateForecastExportJob operation.
  
  The range of the forecast is determined by the ForecastHorizon value, which you specify in the CreatePredictor request. When you query a forecast, you can request a specific date range within the forecast.
  
  To get a list of all your forecasts, use the ListForecasts operation.
  
  The forecasts generated by Amazon Forecast are in the same time zone as the dataset that was used to create the predictor.
  
  For more information, see howitworks-forecast.
  
  The Status of the forecast must be ACTIVE before you can query or export the forecast. Use the DescribeForecast operation to get the status.
  
  By default, a forecast includes predictions for every item (item_id) in the dataset group that was used to train the predictor. However, you can use the TimeSeriesSelector object to generate a forecast on a subset of time series. Forecast creation is skipped for any time series that you specify that are not in the input dataset. The forecast export file will not contain these time series or their forecasted values.
  
  This is a convenience which creates an instance of the CreateForecastRequest.Builder avoiding the need to create one manually via CreateForecastRequest.builder()
  Parameters:
  
  createForecastRequest - A Consumer that will call methods on CreateForecastRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createForecastExportJob
  
  default CreateForecastExportJobResponse createForecastExportJob(CreateForecastExportJobRequest createForecastExportJobRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Exports a forecast created by the CreateForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket. The forecast file name will match the following conventions:
  
  <ForecastExportJobName>_<ExportTimestamp>_<PartNumber>
  
  where the <ExportTimestamp> component is in Java SimpleDateFormat (yyyy-MM-ddTHH-mm-ssZ).
  
  You must specify a DataDestination object that includes an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.
  
  For more information, see howitworks-forecast.
  
  To get a list of all your forecast export jobs, use the ListForecastExportJobs operation.
  
  The Status of the forecast export job must be ACTIVE before you can access the forecast in your Amazon S3 bucket. To get the status, use the DescribeForecastExportJob operation.
  Parameters:
  
  createForecastExportJobRequest -
  
  Returns:
  
  Result of the CreateForecastExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createForecastExportJob
  
  default CreateForecastExportJobResponse createForecastExportJob(Consumer<CreateForecastExportJobRequest.Builder> createForecastExportJobRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Exports a forecast created by the CreateForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket. The forecast file name will match the following conventions:
  
  <ForecastExportJobName>_<ExportTimestamp>_<PartNumber>
  
  where the <ExportTimestamp> component is in Java SimpleDateFormat (yyyy-MM-ddTHH-mm-ssZ).
  
  You must specify a DataDestination object that includes an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.
  
  For more information, see howitworks-forecast.
  
  To get a list of all your forecast export jobs, use the ListForecastExportJobs operation.
  
  The Status of the forecast export job must be ACTIVE before you can access the forecast in your Amazon S3 bucket. To get the status, use the DescribeForecastExportJob operation.
  
  This is a convenience which creates an instance of the CreateForecastExportJobRequest.Builder avoiding the need to create one manually via CreateForecastExportJobRequest.builder()
  Parameters:
  
  createForecastExportJobRequest - A Consumer that will call methods on CreateForecastExportJobRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateForecastExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createMonitor
  
  default CreateMonitorResponse createMonitor(CreateMonitorRequest createMonitorRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Creates a predictor monitor resource for an existing auto predictor. Predictor monitoring allows you to see how your predictor's performance changes over time. For more information, see Predictor Monitoring.
  Parameters:
  
  createMonitorRequest -
  
  Returns:
  
  Result of the CreateMonitor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createMonitor
  
  default CreateMonitorResponse createMonitor(Consumer<CreateMonitorRequest.Builder> createMonitorRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Creates a predictor monitor resource for an existing auto predictor. Predictor monitoring allows you to see how your predictor's performance changes over time. For more information, see Predictor Monitoring.
  
  This is a convenience which creates an instance of the CreateMonitorRequest.Builder avoiding the need to create one manually via CreateMonitorRequest.builder()
  Parameters:
  
  createMonitorRequest - A Consumer that will call methods on CreateMonitorRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateMonitor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createPredictor
  
  default CreatePredictorResponse createPredictor(CreatePredictorRequest createPredictorRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  This operation creates a legacy predictor that does not include all the predictor functionalities provided by Amazon Forecast. To create a predictor that is compatible with all aspects of Forecast, use CreateAutoPredictor.
  
  Creates an Amazon Forecast predictor.
  
  In the request, provide a dataset group and either specify an algorithm or let Amazon Forecast choose an algorithm for you using AutoML. If you specify an algorithm, you also can override algorithm-specific hyperparameters.
  
  Amazon Forecast uses the algorithm to train a predictor using the latest version of the datasets in the specified dataset group. You can then generate a forecast using the CreateForecast operation.
  
  To see the evaluation metrics, use the GetAccuracyMetrics operation.
  
  You can specify a featurization configuration to fill and aggregate the data fields in the TARGET_TIME_SERIES dataset to improve model training. For more information, see FeaturizationConfig.
  
  For RELATED_TIME_SERIES datasets, CreatePredictor verifies that the DataFrequency specified when the dataset was created matches the ForecastFrequency. TARGET_TIME_SERIES datasets don't have this restriction. Amazon Forecast also verifies the delimiter and timestamp format. For more information, see howitworks-datasets-groups.
  
  By default, predictors are trained and evaluated at the 0.1 (P10), 0.5 (P50), and 0.9 (P90) quantiles. You can choose custom forecast types to train and evaluate your predictor by setting the ForecastTypes.
  
  AutoML
  
  If you want Amazon Forecast to evaluate each algorithm and choose the one that minimizes the objective function, set PerformAutoML to true. The objective function is defined as the mean of the weighted losses over the forecast types. By default, these are the p10, p50, and p90 quantile losses. For more information, see EvaluationResult.
  
  When AutoML is enabled, the following properties are disallowed:
  
  AlgorithmArn
  
  HPOConfig
  
  PerformHPO
  
  TrainingParameters
  
  To get a list of all of your predictors, use the ListPredictors operation.
  
  Before you can use the predictor to create a forecast, the Status of the predictor must be ACTIVE, signifying that training has completed. To get the status, use the DescribePredictor operation.
  Parameters:
  
  createPredictorRequest -
  
  Returns:
  
  Result of the CreatePredictor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createPredictor
  
  default CreatePredictorResponse createPredictor(Consumer<CreatePredictorRequest.Builder> createPredictorRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  This operation creates a legacy predictor that does not include all the predictor functionalities provided by Amazon Forecast. To create a predictor that is compatible with all aspects of Forecast, use CreateAutoPredictor.
  
  Creates an Amazon Forecast predictor.
  
  In the request, provide a dataset group and either specify an algorithm or let Amazon Forecast choose an algorithm for you using AutoML. If you specify an algorithm, you also can override algorithm-specific hyperparameters.
  
  Amazon Forecast uses the algorithm to train a predictor using the latest version of the datasets in the specified dataset group. You can then generate a forecast using the CreateForecast operation.
  
  To see the evaluation metrics, use the GetAccuracyMetrics operation.
  
  You can specify a featurization configuration to fill and aggregate the data fields in the TARGET_TIME_SERIES dataset to improve model training. For more information, see FeaturizationConfig.
  
  For RELATED_TIME_SERIES datasets, CreatePredictor verifies that the DataFrequency specified when the dataset was created matches the ForecastFrequency. TARGET_TIME_SERIES datasets don't have this restriction. Amazon Forecast also verifies the delimiter and timestamp format. For more information, see howitworks-datasets-groups.
  
  By default, predictors are trained and evaluated at the 0.1 (P10), 0.5 (P50), and 0.9 (P90) quantiles. You can choose custom forecast types to train and evaluate your predictor by setting the ForecastTypes.
  
  AutoML
  
  If you want Amazon Forecast to evaluate each algorithm and choose the one that minimizes the objective function, set PerformAutoML to true. The objective function is defined as the mean of the weighted losses over the forecast types. By default, these are the p10, p50, and p90 quantile losses. For more information, see EvaluationResult.
  
  When AutoML is enabled, the following properties are disallowed:
  
  AlgorithmArn
  
  HPOConfig
  
  PerformHPO
  
  TrainingParameters
  
  To get a list of all of your predictors, use the ListPredictors operation.
  
  Before you can use the predictor to create a forecast, the Status of the predictor must be ACTIVE, signifying that training has completed. To get the status, use the DescribePredictor operation.
  
  This is a convenience which creates an instance of the CreatePredictorRequest.Builder avoiding the need to create one manually via CreatePredictorRequest.builder()
  Parameters:
  
  createPredictorRequest - A Consumer that will call methods on CreatePredictorRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreatePredictor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createPredictorBacktestExportJob
  
  default CreatePredictorBacktestExportJobResponse createPredictorBacktestExportJob(CreatePredictorBacktestExportJobRequest createPredictorBacktestExportJobRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Exports backtest forecasts and accuracy metrics generated by the CreateAutoPredictor or CreatePredictor operations. Two folders containing CSV or Parquet files are exported to your specified S3 bucket.
  
  The export file names will match the following conventions:
  
  <ExportJobName>_<ExportTimestamp>_<PartNumber>.csv
  
  The <ExportTimestamp> component is in Java SimpleDate format (yyyy-MM-ddTHH-mm-ssZ).
  
  You must specify a DataDestination object that includes an Amazon S3 bucket and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.
  
  The Status of the export job must be ACTIVE before you can access the export in your Amazon S3 bucket. To get the status, use the DescribePredictorBacktestExportJob operation.
  Parameters:
  
  createPredictorBacktestExportJobRequest -
  
  Returns:
  
  Result of the CreatePredictorBacktestExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createPredictorBacktestExportJob
  
  default CreatePredictorBacktestExportJobResponse createPredictorBacktestExportJob(Consumer<CreatePredictorBacktestExportJobRequest.Builder> createPredictorBacktestExportJobRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Exports backtest forecasts and accuracy metrics generated by the CreateAutoPredictor or CreatePredictor operations. Two folders containing CSV or Parquet files are exported to your specified S3 bucket.
  
  The export file names will match the following conventions:
  
  <ExportJobName>_<ExportTimestamp>_<PartNumber>.csv
  
  The <ExportTimestamp> component is in Java SimpleDate format (yyyy-MM-ddTHH-mm-ssZ).
  
  You must specify a DataDestination object that includes an Amazon S3 bucket and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.
  
  The Status of the export job must be ACTIVE before you can access the export in your Amazon S3 bucket. To get the status, use the DescribePredictorBacktestExportJob operation.
  
  This is a convenience which creates an instance of the CreatePredictorBacktestExportJobRequest.Builder avoiding the need to create one manually via CreatePredictorBacktestExportJobRequest.builder()
  Parameters:
  
  createPredictorBacktestExportJobRequest - A Consumer that will call methods on CreatePredictorBacktestExportJobRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreatePredictorBacktestExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createWhatIfAnalysis
  
  default CreateWhatIfAnalysisResponse createWhatIfAnalysis(CreateWhatIfAnalysisRequest createWhatIfAnalysisRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  What-if analysis is a scenario modeling technique where you make a hypothetical change to a time series and compare the forecasts generated by these changes against the baseline, unchanged time series. It is important to remember that the purpose of a what-if analysis is to understand how a forecast can change given different modifications to the baseline time series.
  
  For example, imagine you are a clothing retailer who is considering an end of season sale to clear space for new styles. After creating a baseline forecast, you can use a what-if analysis to investigate how different sales tactics might affect your goals.
  
  You could create a scenario where everything is given a 25% markdown, and another where everything is given a fixed dollar markdown. You could create a scenario where the sale lasts for one week and another where the sale lasts for one month. With a what-if analysis, you can compare many different scenarios against each other.
  
  Note that a what-if analysis is meant to display what the forecasting model has learned and how it will behave in the scenarios that you are evaluating. Do not blindly use the results of the what-if analysis to make business decisions. For instance, forecasts might not be accurate for novel scenarios where there is no reference available to determine whether a forecast is good.
  
  The TimeSeriesSelector object defines the items that you want in the what-if analysis.
  Parameters:
  
  createWhatIfAnalysisRequest -
  
  Returns:
  
  Result of the CreateWhatIfAnalysis operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createWhatIfAnalysis
  
  default CreateWhatIfAnalysisResponse createWhatIfAnalysis(Consumer<CreateWhatIfAnalysisRequest.Builder> createWhatIfAnalysisRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  What-if analysis is a scenario modeling technique where you make a hypothetical change to a time series and compare the forecasts generated by these changes against the baseline, unchanged time series. It is important to remember that the purpose of a what-if analysis is to understand how a forecast can change given different modifications to the baseline time series.
  
  For example, imagine you are a clothing retailer who is considering an end of season sale to clear space for new styles. After creating a baseline forecast, you can use a what-if analysis to investigate how different sales tactics might affect your goals.
  
  You could create a scenario where everything is given a 25% markdown, and another where everything is given a fixed dollar markdown. You could create a scenario where the sale lasts for one week and another where the sale lasts for one month. With a what-if analysis, you can compare many different scenarios against each other.
  
  Note that a what-if analysis is meant to display what the forecasting model has learned and how it will behave in the scenarios that you are evaluating. Do not blindly use the results of the what-if analysis to make business decisions. For instance, forecasts might not be accurate for novel scenarios where there is no reference available to determine whether a forecast is good.
  
  The TimeSeriesSelector object defines the items that you want in the what-if analysis.
  
  This is a convenience which creates an instance of the CreateWhatIfAnalysisRequest.Builder avoiding the need to create one manually via CreateWhatIfAnalysisRequest.builder()
  Parameters:
  
  createWhatIfAnalysisRequest - A Consumer that will call methods on CreateWhatIfAnalysisRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateWhatIfAnalysis operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createWhatIfForecast
  
  default CreateWhatIfForecastResponse createWhatIfForecast(CreateWhatIfForecastRequest createWhatIfForecastRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  A what-if forecast is a forecast that is created from a modified version of the baseline forecast. Each what-if forecast incorporates either a replacement dataset or a set of transformations to the original dataset.
  Parameters:
  
  createWhatIfForecastRequest -
  
  Returns:
  
  Result of the CreateWhatIfForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createWhatIfForecast
  
  default CreateWhatIfForecastResponse createWhatIfForecast(Consumer<CreateWhatIfForecastRequest.Builder> createWhatIfForecastRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  A what-if forecast is a forecast that is created from a modified version of the baseline forecast. Each what-if forecast incorporates either a replacement dataset or a set of transformations to the original dataset.
  
  This is a convenience which creates an instance of the CreateWhatIfForecastRequest.Builder avoiding the need to create one manually via CreateWhatIfForecastRequest.builder()
  Parameters:
  
  createWhatIfForecastRequest - A Consumer that will call methods on CreateWhatIfForecastRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateWhatIfForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createWhatIfForecastExport
  
  default CreateWhatIfForecastExportResponse createWhatIfForecastExport(CreateWhatIfForecastExportRequest createWhatIfForecastExportRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Exports a forecast created by the CreateWhatIfForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket. The forecast file name will match the following conventions:
  
  ≈<ForecastExportJobName>_<ExportTimestamp>_<PartNumber>
  
  The <ExportTimestamp> component is in Java SimpleDateFormat (yyyy-MM-ddTHH-mm-ssZ).
  
  You must specify a DataDestination object that includes an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.
  
  For more information, see howitworks-forecast.
  
  To get a list of all your what-if forecast export jobs, use the ListWhatIfForecastExports operation.
  
  The Status of the forecast export job must be ACTIVE before you can access the forecast in your Amazon S3 bucket. To get the status, use the DescribeWhatIfForecastExport operation.
  Parameters:
  
  createWhatIfForecastExportRequest -
  
  Returns:
  
  Result of the CreateWhatIfForecastExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createWhatIfForecastExport
  
  default CreateWhatIfForecastExportResponse createWhatIfForecastExport(Consumer<CreateWhatIfForecastExportRequest.Builder> createWhatIfForecastExportRequest) throws InvalidInputException, ResourceAlreadyExistsException, ResourceNotFoundException, ResourceInUseException, LimitExceededException, AwsServiceException, SdkClientException, ForecastException
  
  Exports a forecast created by the CreateWhatIfForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket. The forecast file name will match the following conventions:
  
  ≈<ForecastExportJobName>_<ExportTimestamp>_<PartNumber>
  
  The <ExportTimestamp> component is in Java SimpleDateFormat (yyyy-MM-ddTHH-mm-ssZ).
  
  You must specify a DataDestination object that includes an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.
  
  For more information, see howitworks-forecast.
  
  To get a list of all your what-if forecast export jobs, use the ListWhatIfForecastExports operation.
  
  The Status of the forecast export job must be ACTIVE before you can access the forecast in your Amazon S3 bucket. To get the status, use the DescribeWhatIfForecastExport operation.
  
  This is a convenience which creates an instance of the CreateWhatIfForecastExportRequest.Builder avoiding the need to create one manually via CreateWhatIfForecastExportRequest.builder()
  Parameters:
  
  createWhatIfForecastExportRequest - A Consumer that will call methods on CreateWhatIfForecastExportRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateWhatIfForecastExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteDataset
  
  default DeleteDatasetResponse deleteDataset(DeleteDatasetRequest deleteDatasetRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes an Amazon Forecast dataset that was created using the CreateDataset operation. You can only delete datasets that have a status of ACTIVE or CREATE_FAILED. To get the status use the DescribeDataset operation.
  
  Forecast does not automatically update any dataset groups that contain the deleted dataset. In order to update the dataset group, use the UpdateDatasetGroup operation, omitting the deleted dataset's ARN.
  Parameters:
  
  deleteDatasetRequest -
  
  Returns:
  
  Result of the DeleteDataset operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteDataset
  
  default DeleteDatasetResponse deleteDataset(Consumer<DeleteDatasetRequest.Builder> deleteDatasetRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes an Amazon Forecast dataset that was created using the CreateDataset operation. You can only delete datasets that have a status of ACTIVE or CREATE_FAILED. To get the status use the DescribeDataset operation.
  
  Forecast does not automatically update any dataset groups that contain the deleted dataset. In order to update the dataset group, use the UpdateDatasetGroup operation, omitting the deleted dataset's ARN.
  
  This is a convenience which creates an instance of the DeleteDatasetRequest.Builder avoiding the need to create one manually via DeleteDatasetRequest.builder()
  Parameters:
  
  deleteDatasetRequest - A Consumer that will call methods on DeleteDatasetRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteDataset operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteDatasetGroup
  
  default DeleteDatasetGroupResponse deleteDatasetGroup(DeleteDatasetGroupRequest deleteDatasetGroupRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a dataset group created using the CreateDatasetGroup operation. You can only delete dataset groups that have a status of ACTIVE, CREATE_FAILED, or UPDATE_FAILED. To get the status, use the DescribeDatasetGroup operation.
  
  This operation deletes only the dataset group, not the datasets in the group.
  Parameters:
  
  deleteDatasetGroupRequest -
  
  Returns:
  
  Result of the DeleteDatasetGroup operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteDatasetGroup
  
  default DeleteDatasetGroupResponse deleteDatasetGroup(Consumer<DeleteDatasetGroupRequest.Builder> deleteDatasetGroupRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a dataset group created using the CreateDatasetGroup operation. You can only delete dataset groups that have a status of ACTIVE, CREATE_FAILED, or UPDATE_FAILED. To get the status, use the DescribeDatasetGroup operation.
  
  This operation deletes only the dataset group, not the datasets in the group.
  
  This is a convenience which creates an instance of the DeleteDatasetGroupRequest.Builder avoiding the need to create one manually via DeleteDatasetGroupRequest.builder()
  Parameters:
  
  deleteDatasetGroupRequest - A Consumer that will call methods on DeleteDatasetGroupRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteDatasetGroup operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteDatasetImportJob
  
  default DeleteDatasetImportJobResponse deleteDatasetImportJob(DeleteDatasetImportJobRequest deleteDatasetImportJobRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a dataset import job created using the CreateDatasetImportJob operation. You can delete only dataset import jobs that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeDatasetImportJob operation.
  Parameters:
  
  deleteDatasetImportJobRequest -
  
  Returns:
  
  Result of the DeleteDatasetImportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteDatasetImportJob
  
  default DeleteDatasetImportJobResponse deleteDatasetImportJob(Consumer<DeleteDatasetImportJobRequest.Builder> deleteDatasetImportJobRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a dataset import job created using the CreateDatasetImportJob operation. You can delete only dataset import jobs that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeDatasetImportJob operation.
  
  This is a convenience which creates an instance of the DeleteDatasetImportJobRequest.Builder avoiding the need to create one manually via DeleteDatasetImportJobRequest.builder()
  Parameters:
  
  deleteDatasetImportJobRequest - A Consumer that will call methods on DeleteDatasetImportJobRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteDatasetImportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteExplainability
  
  default DeleteExplainabilityResponse deleteExplainability(DeleteExplainabilityRequest deleteExplainabilityRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes an Explainability resource.
  
  You can delete only predictor that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeExplainability operation.
  Parameters:
  
  deleteExplainabilityRequest -
  
  Returns:
  
  Result of the DeleteExplainability operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteExplainability
  
  default DeleteExplainabilityResponse deleteExplainability(Consumer<DeleteExplainabilityRequest.Builder> deleteExplainabilityRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes an Explainability resource.
  
  You can delete only predictor that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeExplainability operation.
  
  This is a convenience which creates an instance of the DeleteExplainabilityRequest.Builder avoiding the need to create one manually via DeleteExplainabilityRequest.builder()
  Parameters:
  
  deleteExplainabilityRequest - A Consumer that will call methods on DeleteExplainabilityRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteExplainability operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteExplainabilityExport
  
  default DeleteExplainabilityExportResponse deleteExplainabilityExport(DeleteExplainabilityExportRequest deleteExplainabilityExportRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes an Explainability export.
  Parameters:
  
  deleteExplainabilityExportRequest -
  
  Returns:
  
  Result of the DeleteExplainabilityExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteExplainabilityExport
  
  default DeleteExplainabilityExportResponse deleteExplainabilityExport(Consumer<DeleteExplainabilityExportRequest.Builder> deleteExplainabilityExportRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes an Explainability export.
  
  This is a convenience which creates an instance of the DeleteExplainabilityExportRequest.Builder avoiding the need to create one manually via DeleteExplainabilityExportRequest.builder()
  Parameters:
  
  deleteExplainabilityExportRequest - A Consumer that will call methods on DeleteExplainabilityExportRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteExplainabilityExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteForecast
  
  default DeleteForecastResponse deleteForecast(DeleteForecastRequest deleteForecastRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a forecast created using the CreateForecast operation. You can delete only forecasts that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeForecast operation.
  
  You can't delete a forecast while it is being exported. After a forecast is deleted, you can no longer query the forecast.
  Parameters:
  
  deleteForecastRequest -
  
  Returns:
  
  Result of the DeleteForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteForecast
  
  default DeleteForecastResponse deleteForecast(Consumer<DeleteForecastRequest.Builder> deleteForecastRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a forecast created using the CreateForecast operation. You can delete only forecasts that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeForecast operation.
  
  You can't delete a forecast while it is being exported. After a forecast is deleted, you can no longer query the forecast.
  
  This is a convenience which creates an instance of the DeleteForecastRequest.Builder avoiding the need to create one manually via DeleteForecastRequest.builder()
  Parameters:
  
  deleteForecastRequest - A Consumer that will call methods on DeleteForecastRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteForecastExportJob
  
  default DeleteForecastExportJobResponse deleteForecastExportJob(DeleteForecastExportJobRequest deleteForecastExportJobRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a forecast export job created using the CreateForecastExportJob operation. You can delete only export jobs that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeForecastExportJob operation.
  Parameters:
  
  deleteForecastExportJobRequest -
  
  Returns:
  
  Result of the DeleteForecastExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteForecastExportJob
  
  default DeleteForecastExportJobResponse deleteForecastExportJob(Consumer<DeleteForecastExportJobRequest.Builder> deleteForecastExportJobRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a forecast export job created using the CreateForecastExportJob operation. You can delete only export jobs that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeForecastExportJob operation.
  
  This is a convenience which creates an instance of the DeleteForecastExportJobRequest.Builder avoiding the need to create one manually via DeleteForecastExportJobRequest.builder()
  Parameters:
  
  deleteForecastExportJobRequest - A Consumer that will call methods on DeleteForecastExportJobRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteForecastExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteMonitor
  
  default DeleteMonitorResponse deleteMonitor(DeleteMonitorRequest deleteMonitorRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a monitor resource. You can only delete a monitor resource with a status of ACTIVE, ACTIVE_STOPPED, CREATE_FAILED, or CREATE_STOPPED.
  Parameters:
  
  deleteMonitorRequest -
  
  Returns:
  
  Result of the DeleteMonitor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteMonitor
  
  default DeleteMonitorResponse deleteMonitor(Consumer<DeleteMonitorRequest.Builder> deleteMonitorRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a monitor resource. You can only delete a monitor resource with a status of ACTIVE, ACTIVE_STOPPED, CREATE_FAILED, or CREATE_STOPPED.
  
  This is a convenience which creates an instance of the DeleteMonitorRequest.Builder avoiding the need to create one manually via DeleteMonitorRequest.builder()
  Parameters:
  
  deleteMonitorRequest - A Consumer that will call methods on DeleteMonitorRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteMonitor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deletePredictor
  
  default DeletePredictorResponse deletePredictor(DeletePredictorRequest deletePredictorRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a predictor created using the DescribePredictor or CreatePredictor operations. You can delete only predictor that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribePredictor operation.
  Parameters:
  
  deletePredictorRequest -
  
  Returns:
  
  Result of the DeletePredictor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deletePredictor
  
  default DeletePredictorResponse deletePredictor(Consumer<DeletePredictorRequest.Builder> deletePredictorRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a predictor created using the DescribePredictor or CreatePredictor operations. You can delete only predictor that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribePredictor operation.
  
  This is a convenience which creates an instance of the DeletePredictorRequest.Builder avoiding the need to create one manually via DeletePredictorRequest.builder()
  Parameters:
  
  deletePredictorRequest - A Consumer that will call methods on DeletePredictorRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeletePredictor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deletePredictorBacktestExportJob
  
  default DeletePredictorBacktestExportJobResponse deletePredictorBacktestExportJob(DeletePredictorBacktestExportJobRequest deletePredictorBacktestExportJobRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a predictor backtest export job.
  Parameters:
  
  deletePredictorBacktestExportJobRequest -
  
  Returns:
  
  Result of the DeletePredictorBacktestExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deletePredictorBacktestExportJob
  
  default DeletePredictorBacktestExportJobResponse deletePredictorBacktestExportJob(Consumer<DeletePredictorBacktestExportJobRequest.Builder> deletePredictorBacktestExportJobRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a predictor backtest export job.
  
  This is a convenience which creates an instance of the DeletePredictorBacktestExportJobRequest.Builder avoiding the need to create one manually via DeletePredictorBacktestExportJobRequest.builder()
  Parameters:
  
  deletePredictorBacktestExportJobRequest - A Consumer that will call methods on DeletePredictorBacktestExportJobRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeletePredictorBacktestExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteResourceTree
  
  default DeleteResourceTreeResponse deleteResourceTree(DeleteResourceTreeRequest deleteResourceTreeRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  Deletes an entire resource tree. This operation will delete the parent resource and its child resources.
  
  Child resources are resources that were created from another resource. For example, when a forecast is generated from a predictor, the forecast is the child resource and the predictor is the parent resource.
  
  Amazon Forecast resources possess the following parent-child resource hierarchies:
  
  Dataset: dataset import jobs
  
  Dataset Group: predictors, predictor backtest export jobs, forecasts, forecast export jobs
  
  Predictor: predictor backtest export jobs, forecasts, forecast export jobs
  
  Forecast: forecast export jobs
  
  DeleteResourceTree will only delete Amazon Forecast resources, and will not delete datasets or exported files stored in Amazon S3.
  Parameters:
  
  deleteResourceTreeRequest -
  
  Returns:
  
  Result of the DeleteResourceTree operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteResourceTree
  
  default DeleteResourceTreeResponse deleteResourceTree(Consumer<DeleteResourceTreeRequest.Builder> deleteResourceTreeRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  Deletes an entire resource tree. This operation will delete the parent resource and its child resources.
  
  Child resources are resources that were created from another resource. For example, when a forecast is generated from a predictor, the forecast is the child resource and the predictor is the parent resource.
  
  Amazon Forecast resources possess the following parent-child resource hierarchies:
  
  Dataset: dataset import jobs
  
  Dataset Group: predictors, predictor backtest export jobs, forecasts, forecast export jobs
  
  Predictor: predictor backtest export jobs, forecasts, forecast export jobs
  
  Forecast: forecast export jobs
  
  DeleteResourceTree will only delete Amazon Forecast resources, and will not delete datasets or exported files stored in Amazon S3.
  
  This is a convenience which creates an instance of the DeleteResourceTreeRequest.Builder avoiding the need to create one manually via DeleteResourceTreeRequest.builder()
  Parameters:
  
  deleteResourceTreeRequest - A Consumer that will call methods on DeleteResourceTreeRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteResourceTree operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteWhatIfAnalysis
  
  default DeleteWhatIfAnalysisResponse deleteWhatIfAnalysis(DeleteWhatIfAnalysisRequest deleteWhatIfAnalysisRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a what-if analysis created using the CreateWhatIfAnalysis operation. You can delete only what-if analyses that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeWhatIfAnalysis operation.
  
  You can't delete a what-if analysis while any of its forecasts are being exported.
  Parameters:
  
  deleteWhatIfAnalysisRequest -
  
  Returns:
  
  Result of the DeleteWhatIfAnalysis operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteWhatIfAnalysis
  
  default DeleteWhatIfAnalysisResponse deleteWhatIfAnalysis(Consumer<DeleteWhatIfAnalysisRequest.Builder> deleteWhatIfAnalysisRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a what-if analysis created using the CreateWhatIfAnalysis operation. You can delete only what-if analyses that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeWhatIfAnalysis operation.
  
  You can't delete a what-if analysis while any of its forecasts are being exported.
  
  This is a convenience which creates an instance of the DeleteWhatIfAnalysisRequest.Builder avoiding the need to create one manually via DeleteWhatIfAnalysisRequest.builder()
  Parameters:
  
  deleteWhatIfAnalysisRequest - A Consumer that will call methods on DeleteWhatIfAnalysisRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteWhatIfAnalysis operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteWhatIfForecast
  
  default DeleteWhatIfForecastResponse deleteWhatIfForecast(DeleteWhatIfForecastRequest deleteWhatIfForecastRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a what-if forecast created using the CreateWhatIfForecast operation. You can delete only what-if forecasts that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeWhatIfForecast operation.
  
  You can't delete a what-if forecast while it is being exported. After a what-if forecast is deleted, you can no longer query the what-if analysis.
  Parameters:
  
  deleteWhatIfForecastRequest -
  
  Returns:
  
  Result of the DeleteWhatIfForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteWhatIfForecast
  
  default DeleteWhatIfForecastResponse deleteWhatIfForecast(Consumer<DeleteWhatIfForecastRequest.Builder> deleteWhatIfForecastRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a what-if forecast created using the CreateWhatIfForecast operation. You can delete only what-if forecasts that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeWhatIfForecast operation.
  
  You can't delete a what-if forecast while it is being exported. After a what-if forecast is deleted, you can no longer query the what-if analysis.
  
  This is a convenience which creates an instance of the DeleteWhatIfForecastRequest.Builder avoiding the need to create one manually via DeleteWhatIfForecastRequest.builder()
  Parameters:
  
  deleteWhatIfForecastRequest - A Consumer that will call methods on DeleteWhatIfForecastRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteWhatIfForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteWhatIfForecastExport
  
  default DeleteWhatIfForecastExportResponse deleteWhatIfForecastExport(DeleteWhatIfForecastExportRequest deleteWhatIfForecastExportRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a what-if forecast export created using the CreateWhatIfForecastExport operation. You can delete only what-if forecast exports that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeWhatIfForecastExport operation.
  Parameters:
  
  deleteWhatIfForecastExportRequest -
  
  Returns:
  
  Result of the DeleteWhatIfForecastExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteWhatIfForecastExport
  
  default DeleteWhatIfForecastExportResponse deleteWhatIfForecastExport(Consumer<DeleteWhatIfForecastExportRequest.Builder> deleteWhatIfForecastExportRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes a what-if forecast export created using the CreateWhatIfForecastExport operation. You can delete only what-if forecast exports that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeWhatIfForecastExport operation.
  
  This is a convenience which creates an instance of the DeleteWhatIfForecastExportRequest.Builder avoiding the need to create one manually via DeleteWhatIfForecastExportRequest.builder()
  Parameters:
  
  deleteWhatIfForecastExportRequest - A Consumer that will call methods on DeleteWhatIfForecastExportRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteWhatIfForecastExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeAutoPredictor
  
  default DescribeAutoPredictorResponse describeAutoPredictor(DescribeAutoPredictorRequest describeAutoPredictorRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  
  Describes a predictor created using the CreateAutoPredictor operation.
  Parameters:
  
  describeAutoPredictorRequest -
  
  Returns:
  
  Result of the DescribeAutoPredictor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeAutoPredictor
  
  default DescribeAutoPredictorResponse describeAutoPredictor(Consumer<DescribeAutoPredictorRequest.Builder> describeAutoPredictorRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  
  Describes a predictor created using the CreateAutoPredictor operation.
  
  This is a convenience which creates an instance of the DescribeAutoPredictorRequest.Builder avoiding the need to create one manually via DescribeAutoPredictorRequest.builder()
  Parameters:
  
  describeAutoPredictorRequest - A Consumer that will call methods on DescribeAutoPredictorRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeAutoPredictor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeDataset
  
  default DescribeDatasetResponse describeDataset(DescribeDatasetRequest describeDatasetRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes an Amazon Forecast dataset created using the CreateDataset operation.
  
  In addition to listing the parameters specified in the CreateDataset request, this operation includes the following dataset properties:
  
  CreationTime
  
  LastModificationTime
  
  Status
  Parameters:
  
  describeDatasetRequest -
  
  Returns:
  
  Result of the DescribeDataset operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeDataset
  
  default DescribeDatasetResponse describeDataset(Consumer<DescribeDatasetRequest.Builder> describeDatasetRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes an Amazon Forecast dataset created using the CreateDataset operation.
  
  In addition to listing the parameters specified in the CreateDataset request, this operation includes the following dataset properties:
  
  CreationTime
  
  LastModificationTime
  
  Status
  
  This is a convenience which creates an instance of the DescribeDatasetRequest.Builder avoiding the need to create one manually via DescribeDatasetRequest.builder()
  Parameters:
  
  describeDatasetRequest - A Consumer that will call methods on DescribeDatasetRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeDataset operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeDatasetGroup
  
  default DescribeDatasetGroupResponse describeDatasetGroup(DescribeDatasetGroupRequest describeDatasetGroupRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a dataset group created using the CreateDatasetGroup operation.
  
  In addition to listing the parameters provided in the CreateDatasetGroup request, this operation includes the following properties:
  
  DatasetArns - The datasets belonging to the group.
  
  CreationTime
  
  LastModificationTime
  
  Status
  Parameters:
  
  describeDatasetGroupRequest -
  
  Returns:
  
  Result of the DescribeDatasetGroup operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeDatasetGroup
  
  default DescribeDatasetGroupResponse describeDatasetGroup(Consumer<DescribeDatasetGroupRequest.Builder> describeDatasetGroupRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a dataset group created using the CreateDatasetGroup operation.
  
  In addition to listing the parameters provided in the CreateDatasetGroup request, this operation includes the following properties:
  
  DatasetArns - The datasets belonging to the group.
  
  CreationTime
  
  LastModificationTime
  
  Status
  
  This is a convenience which creates an instance of the DescribeDatasetGroupRequest.Builder avoiding the need to create one manually via DescribeDatasetGroupRequest.builder()
  Parameters:
  
  describeDatasetGroupRequest - A Consumer that will call methods on DescribeDatasetGroupRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeDatasetGroup operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeDatasetImportJob
  
  default DescribeDatasetImportJobResponse describeDatasetImportJob(DescribeDatasetImportJobRequest describeDatasetImportJobRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a dataset import job created using the CreateDatasetImportJob operation.
  
  In addition to listing the parameters provided in the CreateDatasetImportJob request, this operation includes the following properties:
  
  CreationTime
  
  LastModificationTime
  
  DataSize
  
  FieldStatistics
  
  Status
  
  Message - If an error occurred, information about the error.
  Parameters:
  
  describeDatasetImportJobRequest -
  
  Returns:
  
  Result of the DescribeDatasetImportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeDatasetImportJob
  
  default DescribeDatasetImportJobResponse describeDatasetImportJob(Consumer<DescribeDatasetImportJobRequest.Builder> describeDatasetImportJobRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a dataset import job created using the CreateDatasetImportJob operation.
  
  In addition to listing the parameters provided in the CreateDatasetImportJob request, this operation includes the following properties:
  
  CreationTime
  
  LastModificationTime
  
  DataSize
  
  FieldStatistics
  
  Status
  
  Message - If an error occurred, information about the error.
  
  This is a convenience which creates an instance of the DescribeDatasetImportJobRequest.Builder avoiding the need to create one manually via DescribeDatasetImportJobRequest.builder()
  Parameters:
  
  describeDatasetImportJobRequest - A Consumer that will call methods on DescribeDatasetImportJobRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeDatasetImportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeExplainability
  
  default DescribeExplainabilityResponse describeExplainability(DescribeExplainabilityRequest describeExplainabilityRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  
  Describes an Explainability resource created using the CreateExplainability operation.
  Parameters:
  
  describeExplainabilityRequest -
  
  Returns:
  
  Result of the DescribeExplainability operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeExplainability
  
  default DescribeExplainabilityResponse describeExplainability(Consumer<DescribeExplainabilityRequest.Builder> describeExplainabilityRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  
  Describes an Explainability resource created using the CreateExplainability operation.
  
  This is a convenience which creates an instance of the DescribeExplainabilityRequest.Builder avoiding the need to create one manually via DescribeExplainabilityRequest.builder()
  Parameters:
  
  describeExplainabilityRequest - A Consumer that will call methods on DescribeExplainabilityRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeExplainability operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeExplainabilityExport
  
  default DescribeExplainabilityExportResponse describeExplainabilityExport(DescribeExplainabilityExportRequest describeExplainabilityExportRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  
  Describes an Explainability export created using the CreateExplainabilityExport operation.
  Parameters:
  
  describeExplainabilityExportRequest -
  
  Returns:
  
  Result of the DescribeExplainabilityExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeExplainabilityExport
  
  default DescribeExplainabilityExportResponse describeExplainabilityExport(Consumer<DescribeExplainabilityExportRequest.Builder> describeExplainabilityExportRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  
  Describes an Explainability export created using the CreateExplainabilityExport operation.
  
  This is a convenience which creates an instance of the DescribeExplainabilityExportRequest.Builder avoiding the need to create one manually via DescribeExplainabilityExportRequest.builder()
  Parameters:
  
  describeExplainabilityExportRequest - A Consumer that will call methods on DescribeExplainabilityExportRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeExplainabilityExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeForecast
  
  default DescribeForecastResponse describeForecast(DescribeForecastRequest describeForecastRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a forecast created using the CreateForecast operation.
  
  In addition to listing the properties provided in the CreateForecast request, this operation lists the following properties:
  
  DatasetGroupArn - The dataset group that provided the training data.
  
  CreationTime
  
  LastModificationTime
  
  Status
  
  Message - If an error occurred, information about the error.
  Parameters:
  
  describeForecastRequest -
  
  Returns:
  
  Result of the DescribeForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeForecast
  
  default DescribeForecastResponse describeForecast(Consumer<DescribeForecastRequest.Builder> describeForecastRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a forecast created using the CreateForecast operation.
  
  In addition to listing the properties provided in the CreateForecast request, this operation lists the following properties:
  
  DatasetGroupArn - The dataset group that provided the training data.
  
  CreationTime
  
  LastModificationTime
  
  Status
  
  Message - If an error occurred, information about the error.
  
  This is a convenience which creates an instance of the DescribeForecastRequest.Builder avoiding the need to create one manually via DescribeForecastRequest.builder()
  Parameters:
  
  describeForecastRequest - A Consumer that will call methods on DescribeForecastRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeForecastExportJob
  
  default DescribeForecastExportJobResponse describeForecastExportJob(DescribeForecastExportJobRequest describeForecastExportJobRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a forecast export job created using the CreateForecastExportJob operation.
  
  In addition to listing the properties provided by the user in the CreateForecastExportJob request, this operation lists the following properties:
  
  CreationTime
  
  LastModificationTime
  
  Status
  
  Message - If an error occurred, information about the error.
  Parameters:
  
  describeForecastExportJobRequest -
  
  Returns:
  
  Result of the DescribeForecastExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeForecastExportJob
  
  default DescribeForecastExportJobResponse describeForecastExportJob(Consumer<DescribeForecastExportJobRequest.Builder> describeForecastExportJobRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a forecast export job created using the CreateForecastExportJob operation.
  
  In addition to listing the properties provided by the user in the CreateForecastExportJob request, this operation lists the following properties:
  
  CreationTime
  
  LastModificationTime
  
  Status
  
  Message - If an error occurred, information about the error.
  
  This is a convenience which creates an instance of the DescribeForecastExportJobRequest.Builder avoiding the need to create one manually via DescribeForecastExportJobRequest.builder()
  Parameters:
  
  describeForecastExportJobRequest - A Consumer that will call methods on DescribeForecastExportJobRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeForecastExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeMonitor
  
  default DescribeMonitorResponse describeMonitor(DescribeMonitorRequest describeMonitorRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a monitor resource. In addition to listing the properties provided in the CreateMonitor request, this operation lists the following properties:
  
  Baseline
  
  CreationTime
  
  LastEvaluationTime
  
  LastEvaluationState
  
  LastModificationTime
  
  Message
  
  Status
  Parameters:
  
  describeMonitorRequest -
  
  Returns:
  
  Result of the DescribeMonitor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeMonitor
  
  default DescribeMonitorResponse describeMonitor(Consumer<DescribeMonitorRequest.Builder> describeMonitorRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a monitor resource. In addition to listing the properties provided in the CreateMonitor request, this operation lists the following properties:
  
  Baseline
  
  CreationTime
  
  LastEvaluationTime
  
  LastEvaluationState
  
  LastModificationTime
  
  Message
  
  Status
  
  This is a convenience which creates an instance of the DescribeMonitorRequest.Builder avoiding the need to create one manually via DescribeMonitorRequest.builder()
  Parameters:
  
  describeMonitorRequest - A Consumer that will call methods on DescribeMonitorRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeMonitor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describePredictor
  
  default DescribePredictorResponse describePredictor(DescribePredictorRequest describePredictorRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  This operation is only valid for legacy predictors created with CreatePredictor. If you are not using a legacy predictor, use DescribeAutoPredictor.
  
  Describes a predictor created using the CreatePredictor operation.
  
  In addition to listing the properties provided in the CreatePredictor request, this operation lists the following properties:
  
  DatasetImportJobArns - The dataset import jobs used to import training data.
  
  AutoMLAlgorithmArns - If AutoML is performed, the algorithms that were evaluated.
  
  CreationTime
  
  LastModificationTime
  
  Status
  
  Message - If an error occurred, information about the error.
  Parameters:
  
  describePredictorRequest -
  
  Returns:
  
  Result of the DescribePredictor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describePredictor
  
  default DescribePredictorResponse describePredictor(Consumer<DescribePredictorRequest.Builder> describePredictorRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  This operation is only valid for legacy predictors created with CreatePredictor. If you are not using a legacy predictor, use DescribeAutoPredictor.
  
  Describes a predictor created using the CreatePredictor operation.
  
  In addition to listing the properties provided in the CreatePredictor request, this operation lists the following properties:
  
  DatasetImportJobArns - The dataset import jobs used to import training data.
  
  AutoMLAlgorithmArns - If AutoML is performed, the algorithms that were evaluated.
  
  CreationTime
  
  LastModificationTime
  
  Status
  
  Message - If an error occurred, information about the error.
  
  This is a convenience which creates an instance of the DescribePredictorRequest.Builder avoiding the need to create one manually via DescribePredictorRequest.builder()
  Parameters:
  
  describePredictorRequest - A Consumer that will call methods on DescribePredictorRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribePredictor operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describePredictorBacktestExportJob
  
  default DescribePredictorBacktestExportJobResponse describePredictorBacktestExportJob(DescribePredictorBacktestExportJobRequest describePredictorBacktestExportJobRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a predictor backtest export job created using the CreatePredictorBacktestExportJob operation.
  
  In addition to listing the properties provided by the user in the CreatePredictorBacktestExportJob request, this operation lists the following properties:
  
  CreationTime
  
  LastModificationTime
  
  Status
  
  Message (if an error occurred)
  Parameters:
  
  describePredictorBacktestExportJobRequest -
  
  Returns:
  
  Result of the DescribePredictorBacktestExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describePredictorBacktestExportJob
  
  default DescribePredictorBacktestExportJobResponse describePredictorBacktestExportJob(Consumer<DescribePredictorBacktestExportJobRequest.Builder> describePredictorBacktestExportJobRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes a predictor backtest export job created using the CreatePredictorBacktestExportJob operation.
  
  In addition to listing the properties provided by the user in the CreatePredictorBacktestExportJob request, this operation lists the following properties:
  
  CreationTime
  
  LastModificationTime
  
  Status
  
  Message (if an error occurred)
  
  This is a convenience which creates an instance of the DescribePredictorBacktestExportJobRequest.Builder avoiding the need to create one manually via DescribePredictorBacktestExportJobRequest.builder()
  Parameters:
  
  describePredictorBacktestExportJobRequest - A Consumer that will call methods on DescribePredictorBacktestExportJobRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribePredictorBacktestExportJob operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeWhatIfAnalysis
  
  default DescribeWhatIfAnalysisResponse describeWhatIfAnalysis(DescribeWhatIfAnalysisRequest describeWhatIfAnalysisRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes the what-if analysis created using the CreateWhatIfAnalysis operation.
  
  In addition to listing the properties provided in the CreateWhatIfAnalysis request, this operation lists the following properties:
  
  CreationTime
  
  LastModificationTime
  
  Message - If an error occurred, information about the error.
  
  Status
  Parameters:
  
  describeWhatIfAnalysisRequest -
  
  Returns:
  
  Result of the DescribeWhatIfAnalysis operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeWhatIfAnalysis
  
  default DescribeWhatIfAnalysisResponse describeWhatIfAnalysis(Consumer<DescribeWhatIfAnalysisRequest.Builder> describeWhatIfAnalysisRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes the what-if analysis created using the CreateWhatIfAnalysis operation.
  
  In addition to listing the properties provided in the CreateWhatIfAnalysis request, this operation lists the following properties:
  
  CreationTime
  
  LastModificationTime
  
  Message - If an error occurred, information about the error.
  
  Status
  
  This is a convenience which creates an instance of the DescribeWhatIfAnalysisRequest.Builder avoiding the need to create one manually via DescribeWhatIfAnalysisRequest.builder()
  Parameters:
  
  describeWhatIfAnalysisRequest - A Consumer that will call methods on DescribeWhatIfAnalysisRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeWhatIfAnalysis operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeWhatIfForecast
  
  default DescribeWhatIfForecastResponse describeWhatIfForecast(DescribeWhatIfForecastRequest describeWhatIfForecastRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes the what-if forecast created using the CreateWhatIfForecast operation.
  
  In addition to listing the properties provided in the CreateWhatIfForecast request, this operation lists the following properties:
  
  CreationTime
  
  LastModificationTime
  
  Message - If an error occurred, information about the error.
  
  Status
  Parameters:
  
  describeWhatIfForecastRequest -
  
  Returns:
  
  Result of the DescribeWhatIfForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeWhatIfForecast
  
  default DescribeWhatIfForecastResponse describeWhatIfForecast(Consumer<DescribeWhatIfForecastRequest.Builder> describeWhatIfForecastRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes the what-if forecast created using the CreateWhatIfForecast operation.
  
  In addition to listing the properties provided in the CreateWhatIfForecast request, this operation lists the following properties:
  
  CreationTime
  
  LastModificationTime
  
  Message - If an error occurred, information about the error.
  
  Status
  
  This is a convenience which creates an instance of the DescribeWhatIfForecastRequest.Builder avoiding the need to create one manually via DescribeWhatIfForecastRequest.builder()
  Parameters:
  
  describeWhatIfForecastRequest - A Consumer that will call methods on DescribeWhatIfForecastRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeWhatIfForecast operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeWhatIfForecastExport
  
  default DescribeWhatIfForecastExportResponse describeWhatIfForecastExport(DescribeWhatIfForecastExportRequest describeWhatIfForecastExportRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes the what-if forecast export created using the CreateWhatIfForecastExport operation.
  
  In addition to listing the properties provided in the CreateWhatIfForecastExport request, this operation lists the following properties:
  
  CreationTime
  
  LastModificationTime
  
  Message - If an error occurred, information about the error.
  
  Status
  Parameters:
  
  describeWhatIfForecastExportRequest -
  
  Returns:
  
  Result of the DescribeWhatIfForecastExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeWhatIfForecastExport
  
  default DescribeWhatIfForecastExportResponse describeWhatIfForecastExport(Consumer<DescribeWhatIfForecastExportRequest.Builder> describeWhatIfForecastExportRequest) throws InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Describes the what-if forecast export created using the CreateWhatIfForecastExport operation.
  
  In addition to listing the properties provided in the CreateWhatIfForecastExport request, this operation lists the following properties:
  
  CreationTime
  
  LastModificationTime
  
  Message - If an error occurred, information about the error.
  
  Status
  
  This is a convenience which creates an instance of the DescribeWhatIfForecastExportRequest.Builder avoiding the need to create one manually via DescribeWhatIfForecastExportRequest.builder()
  Parameters:
  
  describeWhatIfForecastExportRequest - A Consumer that will call methods on DescribeWhatIfForecastExportRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeWhatIfForecastExport operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- getAccuracyMetrics
  
  default GetAccuracyMetricsResponse getAccuracyMetrics(GetAccuracyMetricsRequest getAccuracyMetricsRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Provides metrics on the accuracy of the models that were trained by the CreatePredictor operation. Use metrics to see how well the model performed and to decide whether to use the predictor to generate a forecast. For more information, see Predictor Metrics.
  
  This operation generates metrics for each backtest window that was evaluated. The number of backtest windows ( NumberOfBacktestWindows) is specified using the EvaluationParameters object, which is optionally included in the CreatePredictor request. If NumberOfBacktestWindows isn't specified, the number defaults to one.
  
  The parameters of the filling method determine which items contribute to the metrics. If you want all items to contribute, specify zero. If you want only those items that have complete data in the range being evaluated to contribute, specify nan. For more information, see FeaturizationMethod.
  
  Before you can get accuracy metrics, the Status of the predictor must be ACTIVE, signifying that training has completed. To get the status, use the DescribePredictor operation.
  Parameters:
  
  getAccuracyMetricsRequest -
  
  Returns:
  
  Result of the GetAccuracyMetrics operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- getAccuracyMetrics
  
  default GetAccuracyMetricsResponse getAccuracyMetrics(Consumer<GetAccuracyMetricsRequest.Builder> getAccuracyMetricsRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Provides metrics on the accuracy of the models that were trained by the CreatePredictor operation. Use metrics to see how well the model performed and to decide whether to use the predictor to generate a forecast. For more information, see Predictor Metrics.
  
  This operation generates metrics for each backtest window that was evaluated. The number of backtest windows ( NumberOfBacktestWindows) is specified using the EvaluationParameters object, which is optionally included in the CreatePredictor request. If NumberOfBacktestWindows isn't specified, the number defaults to one.
  
  The parameters of the filling method determine which items contribute to the metrics. If you want all items to contribute, specify zero. If you want only those items that have complete data in the range being evaluated to contribute, specify nan. For more information, see FeaturizationMethod.
  
  Before you can get accuracy metrics, the Status of the predictor must be ACTIVE, signifying that training has completed. To get the status, use the DescribePredictor operation.
  
  This is a convenience which creates an instance of the GetAccuracyMetricsRequest.Builder avoiding the need to create one manually via GetAccuracyMetricsRequest.builder()
  Parameters:
  
  getAccuracyMetricsRequest - A Consumer that will call methods on GetAccuracyMetricsRequest.Builder to create a request.
  
  Returns:
  
  Result of the GetAccuracyMetrics operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listDatasetGroups
  
  default ListDatasetGroupsResponse listDatasetGroups(ListDatasetGroupsRequest listDatasetGroupsRequest) throws InvalidNextTokenException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of dataset groups created using the CreateDatasetGroup operation. For each dataset group, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the dataset group ARN with the DescribeDatasetGroup operation.
  Parameters:
  
  listDatasetGroupsRequest -
  
  Returns:
  
  Result of the ListDatasetGroups operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listDatasetGroups
  
  default ListDatasetGroupsResponse listDatasetGroups(Consumer<ListDatasetGroupsRequest.Builder> listDatasetGroupsRequest) throws InvalidNextTokenException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of dataset groups created using the CreateDatasetGroup operation. For each dataset group, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the dataset group ARN with the DescribeDatasetGroup operation.
  
  This is a convenience which creates an instance of the ListDatasetGroupsRequest.Builder avoiding the need to create one manually via ListDatasetGroupsRequest.builder()
  Parameters:
  
  listDatasetGroupsRequest - A Consumer that will call methods on ListDatasetGroupsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListDatasetGroups operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listDatasetGroupsPaginator
  
  default ListDatasetGroupsIterable listDatasetGroupsPaginator(ListDatasetGroupsRequest listDatasetGroupsRequest) throws InvalidNextTokenException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listDatasetGroups(software.amazon.awssdk.services.forecast.model.ListDatasetGroupsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListDatasetGroupsIterable responses = client.listDatasetGroupsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListDatasetGroupsIterable responses = client .listDatasetGroupsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListDatasetGroupsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListDatasetGroupsIterable responses = client.listDatasetGroupsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listDatasetGroups(software.amazon.awssdk.services.forecast.model.ListDatasetGroupsRequest) operation.
  Parameters:
  
  listDatasetGroupsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listDatasetGroupsPaginator
  
  default ListDatasetGroupsIterable listDatasetGroupsPaginator(Consumer<ListDatasetGroupsRequest.Builder> listDatasetGroupsRequest) throws InvalidNextTokenException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listDatasetGroups(software.amazon.awssdk.services.forecast.model.ListDatasetGroupsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListDatasetGroupsIterable responses = client.listDatasetGroupsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListDatasetGroupsIterable responses = client .listDatasetGroupsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListDatasetGroupsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListDatasetGroupsIterable responses = client.listDatasetGroupsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listDatasetGroups(software.amazon.awssdk.services.forecast.model.ListDatasetGroupsRequest) operation.
  
  This is a convenience which creates an instance of the ListDatasetGroupsRequest.Builder avoiding the need to create one manually via ListDatasetGroupsRequest.builder()
  Parameters:
  
  listDatasetGroupsRequest - A Consumer that will call methods on ListDatasetGroupsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listDatasetImportJobs
  
  default ListDatasetImportJobsResponse listDatasetImportJobs(ListDatasetImportJobsRequest listDatasetImportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of dataset import jobs created using the CreateDatasetImportJob operation. For each import job, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the ARN with the DescribeDatasetImportJob operation. You can filter the list by providing an array of Filter objects.
  Parameters:
  
  listDatasetImportJobsRequest -
  
  Returns:
  
  Result of the ListDatasetImportJobs operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listDatasetImportJobs
  
  default ListDatasetImportJobsResponse listDatasetImportJobs(Consumer<ListDatasetImportJobsRequest.Builder> listDatasetImportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of dataset import jobs created using the CreateDatasetImportJob operation. For each import job, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the ARN with the DescribeDatasetImportJob operation. You can filter the list by providing an array of Filter objects.
  
  This is a convenience which creates an instance of the ListDatasetImportJobsRequest.Builder avoiding the need to create one manually via ListDatasetImportJobsRequest.builder()
  Parameters:
  
  listDatasetImportJobsRequest - A Consumer that will call methods on ListDatasetImportJobsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListDatasetImportJobs operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listDatasetImportJobsPaginator
  
  default ListDatasetImportJobsIterable listDatasetImportJobsPaginator(ListDatasetImportJobsRequest listDatasetImportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listDatasetImportJobs(software.amazon.awssdk.services.forecast.model.ListDatasetImportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListDatasetImportJobsIterable responses = client.listDatasetImportJobsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListDatasetImportJobsIterable responses = client .listDatasetImportJobsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListDatasetImportJobsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListDatasetImportJobsIterable responses = client.listDatasetImportJobsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listDatasetImportJobs(software.amazon.awssdk.services.forecast.model.ListDatasetImportJobsRequest) operation.
  Parameters:
  
  listDatasetImportJobsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listDatasetImportJobsPaginator
  
  default ListDatasetImportJobsIterable listDatasetImportJobsPaginator(Consumer<ListDatasetImportJobsRequest.Builder> listDatasetImportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listDatasetImportJobs(software.amazon.awssdk.services.forecast.model.ListDatasetImportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListDatasetImportJobsIterable responses = client.listDatasetImportJobsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListDatasetImportJobsIterable responses = client .listDatasetImportJobsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListDatasetImportJobsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListDatasetImportJobsIterable responses = client.listDatasetImportJobsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listDatasetImportJobs(software.amazon.awssdk.services.forecast.model.ListDatasetImportJobsRequest) operation.
  
  This is a convenience which creates an instance of the ListDatasetImportJobsRequest.Builder avoiding the need to create one manually via ListDatasetImportJobsRequest.builder()
  Parameters:
  
  listDatasetImportJobsRequest - A Consumer that will call methods on ListDatasetImportJobsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listDatasets
  
  default ListDatasetsResponse listDatasets(ListDatasetsRequest listDatasetsRequest) throws InvalidNextTokenException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of datasets created using the CreateDataset operation. For each dataset, a summary of its properties, including its Amazon Resource Name (ARN), is returned. To retrieve the complete set of properties, use the ARN with the DescribeDataset operation.
  Parameters:
  
  listDatasetsRequest -
  
  Returns:
  
  Result of the ListDatasets operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listDatasets
  
  default ListDatasetsResponse listDatasets(Consumer<ListDatasetsRequest.Builder> listDatasetsRequest) throws InvalidNextTokenException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of datasets created using the CreateDataset operation. For each dataset, a summary of its properties, including its Amazon Resource Name (ARN), is returned. To retrieve the complete set of properties, use the ARN with the DescribeDataset operation.
  
  This is a convenience which creates an instance of the ListDatasetsRequest.Builder avoiding the need to create one manually via ListDatasetsRequest.builder()
  Parameters:
  
  listDatasetsRequest - A Consumer that will call methods on ListDatasetsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListDatasets operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listDatasetsPaginator
  
  default ListDatasetsIterable listDatasetsPaginator(ListDatasetsRequest listDatasetsRequest) throws InvalidNextTokenException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listDatasets(software.amazon.awssdk.services.forecast.model.ListDatasetsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListDatasetsIterable responses = client.listDatasetsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListDatasetsIterable responses = client.listDatasetsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListDatasetsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListDatasetsIterable responses = client.listDatasetsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listDatasets(software.amazon.awssdk.services.forecast.model.ListDatasetsRequest) operation.
  Parameters:
  
  listDatasetsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listDatasetsPaginator
  
  default ListDatasetsIterable listDatasetsPaginator(Consumer<ListDatasetsRequest.Builder> listDatasetsRequest) throws InvalidNextTokenException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listDatasets(software.amazon.awssdk.services.forecast.model.ListDatasetsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListDatasetsIterable responses = client.listDatasetsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListDatasetsIterable responses = client.listDatasetsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListDatasetsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListDatasetsIterable responses = client.listDatasetsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listDatasets(software.amazon.awssdk.services.forecast.model.ListDatasetsRequest) operation.
  
  This is a convenience which creates an instance of the ListDatasetsRequest.Builder avoiding the need to create one manually via ListDatasetsRequest.builder()
  Parameters:
  
  listDatasetsRequest - A Consumer that will call methods on ListDatasetsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listExplainabilities
  
  default ListExplainabilitiesResponse listExplainabilities(ListExplainabilitiesRequest listExplainabilitiesRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of Explainability resources created using the CreateExplainability operation. This operation returns a summary for each Explainability. You can filter the list using an array of Filter objects.
  
  To retrieve the complete set of properties for a particular Explainability resource, use the ARN with the DescribeExplainability operation.
  Parameters:
  
  listExplainabilitiesRequest -
  
  Returns:
  
  Result of the ListExplainabilities operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listExplainabilities
  
  default ListExplainabilitiesResponse listExplainabilities(Consumer<ListExplainabilitiesRequest.Builder> listExplainabilitiesRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of Explainability resources created using the CreateExplainability operation. This operation returns a summary for each Explainability. You can filter the list using an array of Filter objects.
  
  To retrieve the complete set of properties for a particular Explainability resource, use the ARN with the DescribeExplainability operation.
  
  This is a convenience which creates an instance of the ListExplainabilitiesRequest.Builder avoiding the need to create one manually via ListExplainabilitiesRequest.builder()
  Parameters:
  
  listExplainabilitiesRequest - A Consumer that will call methods on ListExplainabilitiesRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListExplainabilities operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listExplainabilitiesPaginator
  
  default ListExplainabilitiesIterable listExplainabilitiesPaginator(ListExplainabilitiesRequest listExplainabilitiesRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listExplainabilities(software.amazon.awssdk.services.forecast.model.ListExplainabilitiesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListExplainabilitiesIterable responses = client.listExplainabilitiesPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListExplainabilitiesIterable responses = client .listExplainabilitiesPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListExplainabilitiesResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListExplainabilitiesIterable responses = client.listExplainabilitiesPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listExplainabilities(software.amazon.awssdk.services.forecast.model.ListExplainabilitiesRequest) operation.
  Parameters:
  
  listExplainabilitiesRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listExplainabilitiesPaginator
  
  default ListExplainabilitiesIterable listExplainabilitiesPaginator(Consumer<ListExplainabilitiesRequest.Builder> listExplainabilitiesRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listExplainabilities(software.amazon.awssdk.services.forecast.model.ListExplainabilitiesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListExplainabilitiesIterable responses = client.listExplainabilitiesPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListExplainabilitiesIterable responses = client .listExplainabilitiesPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListExplainabilitiesResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListExplainabilitiesIterable responses = client.listExplainabilitiesPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listExplainabilities(software.amazon.awssdk.services.forecast.model.ListExplainabilitiesRequest) operation.
  
  This is a convenience which creates an instance of the ListExplainabilitiesRequest.Builder avoiding the need to create one manually via ListExplainabilitiesRequest.builder()
  Parameters:
  
  listExplainabilitiesRequest - A Consumer that will call methods on ListExplainabilitiesRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listExplainabilityExports
  
  default ListExplainabilityExportsResponse listExplainabilityExports(ListExplainabilityExportsRequest listExplainabilityExportsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of Explainability exports created using the CreateExplainabilityExport operation. This operation returns a summary for each Explainability export. You can filter the list using an array of Filter objects.
  
  To retrieve the complete set of properties for a particular Explainability export, use the ARN with the DescribeExplainability operation.
  Parameters:
  
  listExplainabilityExportsRequest -
  
  Returns:
  
  Result of the ListExplainabilityExports operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listExplainabilityExports
  
  default ListExplainabilityExportsResponse listExplainabilityExports(Consumer<ListExplainabilityExportsRequest.Builder> listExplainabilityExportsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of Explainability exports created using the CreateExplainabilityExport operation. This operation returns a summary for each Explainability export. You can filter the list using an array of Filter objects.
  
  To retrieve the complete set of properties for a particular Explainability export, use the ARN with the DescribeExplainability operation.
  
  This is a convenience which creates an instance of the ListExplainabilityExportsRequest.Builder avoiding the need to create one manually via ListExplainabilityExportsRequest.builder()
  Parameters:
  
  listExplainabilityExportsRequest - A Consumer that will call methods on ListExplainabilityExportsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListExplainabilityExports operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listExplainabilityExportsPaginator
  
  default ListExplainabilityExportsIterable listExplainabilityExportsPaginator(ListExplainabilityExportsRequest listExplainabilityExportsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listExplainabilityExports(software.amazon.awssdk.services.forecast.model.ListExplainabilityExportsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListExplainabilityExportsIterable responses = client.listExplainabilityExportsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListExplainabilityExportsIterable responses = client .listExplainabilityExportsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListExplainabilityExportsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListExplainabilityExportsIterable responses = client.listExplainabilityExportsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listExplainabilityExports(software.amazon.awssdk.services.forecast.model.ListExplainabilityExportsRequest) operation.
  Parameters:
  
  listExplainabilityExportsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listExplainabilityExportsPaginator
  
  default ListExplainabilityExportsIterable listExplainabilityExportsPaginator(Consumer<ListExplainabilityExportsRequest.Builder> listExplainabilityExportsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listExplainabilityExports(software.amazon.awssdk.services.forecast.model.ListExplainabilityExportsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListExplainabilityExportsIterable responses = client.listExplainabilityExportsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListExplainabilityExportsIterable responses = client .listExplainabilityExportsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListExplainabilityExportsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListExplainabilityExportsIterable responses = client.listExplainabilityExportsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listExplainabilityExports(software.amazon.awssdk.services.forecast.model.ListExplainabilityExportsRequest) operation.
  
  This is a convenience which creates an instance of the ListExplainabilityExportsRequest.Builder avoiding the need to create one manually via ListExplainabilityExportsRequest.builder()
  Parameters:
  
  listExplainabilityExportsRequest - A Consumer that will call methods on ListExplainabilityExportsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listForecastExportJobs
  
  default ListForecastExportJobsResponse listForecastExportJobs(ListForecastExportJobsRequest listForecastExportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of forecast export jobs created using the CreateForecastExportJob operation. For each forecast export job, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). To retrieve the complete set of properties, use the ARN with the DescribeForecastExportJob operation. You can filter the list using an array of Filter objects.
  Parameters:
  
  listForecastExportJobsRequest -
  
  Returns:
  
  Result of the ListForecastExportJobs operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listForecastExportJobs
  
  default ListForecastExportJobsResponse listForecastExportJobs(Consumer<ListForecastExportJobsRequest.Builder> listForecastExportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of forecast export jobs created using the CreateForecastExportJob operation. For each forecast export job, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). To retrieve the complete set of properties, use the ARN with the DescribeForecastExportJob operation. You can filter the list using an array of Filter objects.
  
  This is a convenience which creates an instance of the ListForecastExportJobsRequest.Builder avoiding the need to create one manually via ListForecastExportJobsRequest.builder()
  Parameters:
  
  listForecastExportJobsRequest - A Consumer that will call methods on ListForecastExportJobsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListForecastExportJobs operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listForecastExportJobsPaginator
  
  default ListForecastExportJobsIterable listForecastExportJobsPaginator(ListForecastExportJobsRequest listForecastExportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listForecastExportJobs(software.amazon.awssdk.services.forecast.model.ListForecastExportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListForecastExportJobsIterable responses = client.listForecastExportJobsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListForecastExportJobsIterable responses = client .listForecastExportJobsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListForecastExportJobsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListForecastExportJobsIterable responses = client.listForecastExportJobsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listForecastExportJobs(software.amazon.awssdk.services.forecast.model.ListForecastExportJobsRequest) operation.
  Parameters:
  
  listForecastExportJobsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listForecastExportJobsPaginator
  
  default ListForecastExportJobsIterable listForecastExportJobsPaginator(Consumer<ListForecastExportJobsRequest.Builder> listForecastExportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listForecastExportJobs(software.amazon.awssdk.services.forecast.model.ListForecastExportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListForecastExportJobsIterable responses = client.listForecastExportJobsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListForecastExportJobsIterable responses = client .listForecastExportJobsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListForecastExportJobsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListForecastExportJobsIterable responses = client.listForecastExportJobsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listForecastExportJobs(software.amazon.awssdk.services.forecast.model.ListForecastExportJobsRequest) operation.
  
  This is a convenience which creates an instance of the ListForecastExportJobsRequest.Builder avoiding the need to create one manually via ListForecastExportJobsRequest.builder()
  Parameters:
  
  listForecastExportJobsRequest - A Consumer that will call methods on ListForecastExportJobsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listForecasts
  
  default ListForecastsResponse listForecasts(ListForecastsRequest listForecastsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of forecasts created using the CreateForecast operation. For each forecast, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). To retrieve the complete set of properties, specify the ARN with the DescribeForecast operation. You can filter the list using an array of Filter objects.
  Parameters:
  
  listForecastsRequest -
  
  Returns:
  
  Result of the ListForecasts operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listForecasts
  
  default ListForecastsResponse listForecasts(Consumer<ListForecastsRequest.Builder> listForecastsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of forecasts created using the CreateForecast operation. For each forecast, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). To retrieve the complete set of properties, specify the ARN with the DescribeForecast operation. You can filter the list using an array of Filter objects.
  
  This is a convenience which creates an instance of the ListForecastsRequest.Builder avoiding the need to create one manually via ListForecastsRequest.builder()
  Parameters:
  
  listForecastsRequest - A Consumer that will call methods on ListForecastsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListForecasts operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listForecastsPaginator
  
  default ListForecastsIterable listForecastsPaginator(ListForecastsRequest listForecastsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listForecasts(software.amazon.awssdk.services.forecast.model.ListForecastsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListForecastsIterable responses = client.listForecastsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListForecastsIterable responses = client.listForecastsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListForecastsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListForecastsIterable responses = client.listForecastsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listForecasts(software.amazon.awssdk.services.forecast.model.ListForecastsRequest) operation.
  Parameters:
  
  listForecastsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listForecastsPaginator
  
  default ListForecastsIterable listForecastsPaginator(Consumer<ListForecastsRequest.Builder> listForecastsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listForecasts(software.amazon.awssdk.services.forecast.model.ListForecastsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListForecastsIterable responses = client.listForecastsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListForecastsIterable responses = client.listForecastsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListForecastsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListForecastsIterable responses = client.listForecastsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listForecasts(software.amazon.awssdk.services.forecast.model.ListForecastsRequest) operation.
  
  This is a convenience which creates an instance of the ListForecastsRequest.Builder avoiding the need to create one manually via ListForecastsRequest.builder()
  Parameters:
  
  listForecastsRequest - A Consumer that will call methods on ListForecastsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listMonitorEvaluations
  
  default ListMonitorEvaluationsResponse listMonitorEvaluations(ListMonitorEvaluationsRequest listMonitorEvaluationsRequest) throws InvalidNextTokenException, InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of the monitoring evaluation results and predictor events collected by the monitor resource during different windows of time.
  
  For information about monitoring see predictor-monitoring. For more information about retrieving monitoring results see Viewing Monitoring Results.
  Parameters:
  
  listMonitorEvaluationsRequest -
  
  Returns:
  
  Result of the ListMonitorEvaluations operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listMonitorEvaluations
  
  default ListMonitorEvaluationsResponse listMonitorEvaluations(Consumer<ListMonitorEvaluationsRequest.Builder> listMonitorEvaluationsRequest) throws InvalidNextTokenException, InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of the monitoring evaluation results and predictor events collected by the monitor resource during different windows of time.
  
  For information about monitoring see predictor-monitoring. For more information about retrieving monitoring results see Viewing Monitoring Results.
  
  This is a convenience which creates an instance of the ListMonitorEvaluationsRequest.Builder avoiding the need to create one manually via ListMonitorEvaluationsRequest.builder()
  Parameters:
  
  listMonitorEvaluationsRequest - A Consumer that will call methods on ListMonitorEvaluationsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListMonitorEvaluations operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listMonitorEvaluationsPaginator
  
  default ListMonitorEvaluationsIterable listMonitorEvaluationsPaginator(ListMonitorEvaluationsRequest listMonitorEvaluationsRequest) throws InvalidNextTokenException, InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listMonitorEvaluations(software.amazon.awssdk.services.forecast.model.ListMonitorEvaluationsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListMonitorEvaluationsIterable responses = client.listMonitorEvaluationsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListMonitorEvaluationsIterable responses = client .listMonitorEvaluationsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListMonitorEvaluationsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListMonitorEvaluationsIterable responses = client.listMonitorEvaluationsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listMonitorEvaluations(software.amazon.awssdk.services.forecast.model.ListMonitorEvaluationsRequest) operation.
  Parameters:
  
  listMonitorEvaluationsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listMonitorEvaluationsPaginator
  
  default ListMonitorEvaluationsIterable listMonitorEvaluationsPaginator(Consumer<ListMonitorEvaluationsRequest.Builder> listMonitorEvaluationsRequest) throws InvalidNextTokenException, InvalidInputException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listMonitorEvaluations(software.amazon.awssdk.services.forecast.model.ListMonitorEvaluationsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListMonitorEvaluationsIterable responses = client.listMonitorEvaluationsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListMonitorEvaluationsIterable responses = client .listMonitorEvaluationsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListMonitorEvaluationsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListMonitorEvaluationsIterable responses = client.listMonitorEvaluationsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listMonitorEvaluations(software.amazon.awssdk.services.forecast.model.ListMonitorEvaluationsRequest) operation.
  
  This is a convenience which creates an instance of the ListMonitorEvaluationsRequest.Builder avoiding the need to create one manually via ListMonitorEvaluationsRequest.builder()
  Parameters:
  
  listMonitorEvaluationsRequest - A Consumer that will call methods on ListMonitorEvaluationsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listMonitors
  
  default ListMonitorsResponse listMonitors(ListMonitorsRequest listMonitorsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of monitors created with the CreateMonitor operation and CreateAutoPredictor operation. For each monitor resource, this operation returns of a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve a complete set of properties of a monitor resource by specify the monitor's ARN in the DescribeMonitor operation.
  Parameters:
  
  listMonitorsRequest -
  
  Returns:
  
  Result of the ListMonitors operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listMonitors
  
  default ListMonitorsResponse listMonitors(Consumer<ListMonitorsRequest.Builder> listMonitorsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of monitors created with the CreateMonitor operation and CreateAutoPredictor operation. For each monitor resource, this operation returns of a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve a complete set of properties of a monitor resource by specify the monitor's ARN in the DescribeMonitor operation.
  
  This is a convenience which creates an instance of the ListMonitorsRequest.Builder avoiding the need to create one manually via ListMonitorsRequest.builder()
  Parameters:
  
  listMonitorsRequest - A Consumer that will call methods on ListMonitorsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListMonitors operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listMonitorsPaginator
  
  default ListMonitorsIterable listMonitorsPaginator(ListMonitorsRequest listMonitorsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listMonitors(software.amazon.awssdk.services.forecast.model.ListMonitorsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListMonitorsIterable responses = client.listMonitorsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListMonitorsIterable responses = client.listMonitorsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListMonitorsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListMonitorsIterable responses = client.listMonitorsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listMonitors(software.amazon.awssdk.services.forecast.model.ListMonitorsRequest) operation.
  Parameters:
  
  listMonitorsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listMonitorsPaginator
  
  default ListMonitorsIterable listMonitorsPaginator(Consumer<ListMonitorsRequest.Builder> listMonitorsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listMonitors(software.amazon.awssdk.services.forecast.model.ListMonitorsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListMonitorsIterable responses = client.listMonitorsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListMonitorsIterable responses = client.listMonitorsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListMonitorsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListMonitorsIterable responses = client.listMonitorsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listMonitors(software.amazon.awssdk.services.forecast.model.ListMonitorsRequest) operation.
  
  This is a convenience which creates an instance of the ListMonitorsRequest.Builder avoiding the need to create one manually via ListMonitorsRequest.builder()
  Parameters:
  
  listMonitorsRequest - A Consumer that will call methods on ListMonitorsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listPredictorBacktestExportJobs
  
  default ListPredictorBacktestExportJobsResponse listPredictorBacktestExportJobs(ListPredictorBacktestExportJobsRequest listPredictorBacktestExportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of predictor backtest export jobs created using the CreatePredictorBacktestExportJob operation. This operation returns a summary for each backtest export job. You can filter the list using an array of Filter objects.
  
  To retrieve the complete set of properties for a particular backtest export job, use the ARN with the DescribePredictorBacktestExportJob operation.
  Parameters:
  
  listPredictorBacktestExportJobsRequest -
  
  Returns:
  
  Result of the ListPredictorBacktestExportJobs operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listPredictorBacktestExportJobs
  
  default ListPredictorBacktestExportJobsResponse listPredictorBacktestExportJobs(Consumer<ListPredictorBacktestExportJobsRequest.Builder> listPredictorBacktestExportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of predictor backtest export jobs created using the CreatePredictorBacktestExportJob operation. This operation returns a summary for each backtest export job. You can filter the list using an array of Filter objects.
  
  To retrieve the complete set of properties for a particular backtest export job, use the ARN with the DescribePredictorBacktestExportJob operation.
  
  This is a convenience which creates an instance of the ListPredictorBacktestExportJobsRequest.Builder avoiding the need to create one manually via ListPredictorBacktestExportJobsRequest.builder()
  Parameters:
  
  listPredictorBacktestExportJobsRequest - A Consumer that will call methods on ListPredictorBacktestExportJobsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListPredictorBacktestExportJobs operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listPredictorBacktestExportJobsPaginator
  
  default ListPredictorBacktestExportJobsIterable listPredictorBacktestExportJobsPaginator(ListPredictorBacktestExportJobsRequest listPredictorBacktestExportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listPredictorBacktestExportJobs(software.amazon.awssdk.services.forecast.model.ListPredictorBacktestExportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListPredictorBacktestExportJobsIterable responses = client.listPredictorBacktestExportJobsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListPredictorBacktestExportJobsIterable responses = client .listPredictorBacktestExportJobsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListPredictorBacktestExportJobsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListPredictorBacktestExportJobsIterable responses = client.listPredictorBacktestExportJobsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listPredictorBacktestExportJobs(software.amazon.awssdk.services.forecast.model.ListPredictorBacktestExportJobsRequest) operation.
  Parameters:
  
  listPredictorBacktestExportJobsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listPredictorBacktestExportJobsPaginator
  
  default ListPredictorBacktestExportJobsIterable listPredictorBacktestExportJobsPaginator(Consumer<ListPredictorBacktestExportJobsRequest.Builder> listPredictorBacktestExportJobsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listPredictorBacktestExportJobs(software.amazon.awssdk.services.forecast.model.ListPredictorBacktestExportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListPredictorBacktestExportJobsIterable responses = client.listPredictorBacktestExportJobsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListPredictorBacktestExportJobsIterable responses = client .listPredictorBacktestExportJobsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListPredictorBacktestExportJobsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListPredictorBacktestExportJobsIterable responses = client.listPredictorBacktestExportJobsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listPredictorBacktestExportJobs(software.amazon.awssdk.services.forecast.model.ListPredictorBacktestExportJobsRequest) operation.
  
  This is a convenience which creates an instance of the ListPredictorBacktestExportJobsRequest.Builder avoiding the need to create one manually via ListPredictorBacktestExportJobsRequest.builder()
  Parameters:
  
  listPredictorBacktestExportJobsRequest - A Consumer that will call methods on ListPredictorBacktestExportJobsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listPredictors
  
  default ListPredictorsResponse listPredictors(ListPredictorsRequest listPredictorsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of predictors created using the CreateAutoPredictor or CreatePredictor operations. For each predictor, this operation returns a summary of its properties, including its Amazon Resource Name (ARN).
  
  You can retrieve the complete set of properties by using the ARN with the DescribeAutoPredictor and DescribePredictor operations. You can filter the list using an array of Filter objects.
  Parameters:
  
  listPredictorsRequest -
  
  Returns:
  
  Result of the ListPredictors operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listPredictors
  
  default ListPredictorsResponse listPredictors(Consumer<ListPredictorsRequest.Builder> listPredictorsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of predictors created using the CreateAutoPredictor or CreatePredictor operations. For each predictor, this operation returns a summary of its properties, including its Amazon Resource Name (ARN).
  
  You can retrieve the complete set of properties by using the ARN with the DescribeAutoPredictor and DescribePredictor operations. You can filter the list using an array of Filter objects.
  
  This is a convenience which creates an instance of the ListPredictorsRequest.Builder avoiding the need to create one manually via ListPredictorsRequest.builder()
  Parameters:
  
  listPredictorsRequest - A Consumer that will call methods on ListPredictorsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListPredictors operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listPredictorsPaginator
  
  default ListPredictorsIterable listPredictorsPaginator(ListPredictorsRequest listPredictorsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listPredictors(software.amazon.awssdk.services.forecast.model.ListPredictorsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListPredictorsIterable responses = client.listPredictorsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListPredictorsIterable responses = client .listPredictorsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListPredictorsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListPredictorsIterable responses = client.listPredictorsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listPredictors(software.amazon.awssdk.services.forecast.model.ListPredictorsRequest) operation.
  Parameters:
  
  listPredictorsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listPredictorsPaginator
  
  default ListPredictorsIterable listPredictorsPaginator(Consumer<ListPredictorsRequest.Builder> listPredictorsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listPredictors(software.amazon.awssdk.services.forecast.model.ListPredictorsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListPredictorsIterable responses = client.listPredictorsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListPredictorsIterable responses = client .listPredictorsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListPredictorsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListPredictorsIterable responses = client.listPredictorsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listPredictors(software.amazon.awssdk.services.forecast.model.ListPredictorsRequest) operation.
  
  This is a convenience which creates an instance of the ListPredictorsRequest.Builder avoiding the need to create one manually via ListPredictorsRequest.builder()
  Parameters:
  
  listPredictorsRequest - A Consumer that will call methods on ListPredictorsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listTagsForResource
  
  default ListTagsForResourceResponse listTagsForResource(ListTagsForResourceRequest listTagsForResourceRequest) throws ResourceNotFoundException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Lists the tags for an Amazon Forecast resource.
  Parameters:
  
  listTagsForResourceRequest -
  
  Returns:
  
  Result of the ListTagsForResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listTagsForResource
  
  default ListTagsForResourceResponse listTagsForResource(Consumer<ListTagsForResourceRequest.Builder> listTagsForResourceRequest) throws ResourceNotFoundException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Lists the tags for an Amazon Forecast resource.
  
  This is a convenience which creates an instance of the ListTagsForResourceRequest.Builder avoiding the need to create one manually via ListTagsForResourceRequest.builder()
  Parameters:
  
  listTagsForResourceRequest - A Consumer that will call methods on ListTagsForResourceRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListTagsForResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listWhatIfAnalyses
  
  default ListWhatIfAnalysesResponse listWhatIfAnalyses(ListWhatIfAnalysesRequest listWhatIfAnalysesRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of what-if analyses created using the CreateWhatIfAnalysis operation. For each what-if analysis, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the what-if analysis ARN with the DescribeWhatIfAnalysis operation.
  Parameters:
  
  listWhatIfAnalysesRequest -
  
  Returns:
  
  Result of the ListWhatIfAnalyses operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listWhatIfAnalyses
  
  default ListWhatIfAnalysesResponse listWhatIfAnalyses(Consumer<ListWhatIfAnalysesRequest.Builder> listWhatIfAnalysesRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of what-if analyses created using the CreateWhatIfAnalysis operation. For each what-if analysis, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the what-if analysis ARN with the DescribeWhatIfAnalysis operation.
  
  This is a convenience which creates an instance of the ListWhatIfAnalysesRequest.Builder avoiding the need to create one manually via ListWhatIfAnalysesRequest.builder()
  Parameters:
  
  listWhatIfAnalysesRequest - A Consumer that will call methods on ListWhatIfAnalysesRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListWhatIfAnalyses operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listWhatIfAnalysesPaginator
  
  default ListWhatIfAnalysesIterable listWhatIfAnalysesPaginator(ListWhatIfAnalysesRequest listWhatIfAnalysesRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listWhatIfAnalyses(software.amazon.awssdk.services.forecast.model.ListWhatIfAnalysesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfAnalysesIterable responses = client.listWhatIfAnalysesPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListWhatIfAnalysesIterable responses = client .listWhatIfAnalysesPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListWhatIfAnalysesResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfAnalysesIterable responses = client.listWhatIfAnalysesPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listWhatIfAnalyses(software.amazon.awssdk.services.forecast.model.ListWhatIfAnalysesRequest) operation.
  Parameters:
  
  listWhatIfAnalysesRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listWhatIfAnalysesPaginator
  
  default ListWhatIfAnalysesIterable listWhatIfAnalysesPaginator(Consumer<ListWhatIfAnalysesRequest.Builder> listWhatIfAnalysesRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listWhatIfAnalyses(software.amazon.awssdk.services.forecast.model.ListWhatIfAnalysesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfAnalysesIterable responses = client.listWhatIfAnalysesPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListWhatIfAnalysesIterable responses = client .listWhatIfAnalysesPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListWhatIfAnalysesResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfAnalysesIterable responses = client.listWhatIfAnalysesPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listWhatIfAnalyses(software.amazon.awssdk.services.forecast.model.ListWhatIfAnalysesRequest) operation.
  
  This is a convenience which creates an instance of the ListWhatIfAnalysesRequest.Builder avoiding the need to create one manually via ListWhatIfAnalysesRequest.builder()
  Parameters:
  
  listWhatIfAnalysesRequest - A Consumer that will call methods on ListWhatIfAnalysesRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listWhatIfForecastExports
  
  default ListWhatIfForecastExportsResponse listWhatIfForecastExports(ListWhatIfForecastExportsRequest listWhatIfForecastExportsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of what-if forecast exports created using the CreateWhatIfForecastExport operation. For each what-if forecast export, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the what-if forecast export ARN with the DescribeWhatIfForecastExport operation.
  Parameters:
  
  listWhatIfForecastExportsRequest -
  
  Returns:
  
  Result of the ListWhatIfForecastExports operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listWhatIfForecastExports
  
  default ListWhatIfForecastExportsResponse listWhatIfForecastExports(Consumer<ListWhatIfForecastExportsRequest.Builder> listWhatIfForecastExportsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of what-if forecast exports created using the CreateWhatIfForecastExport operation. For each what-if forecast export, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the what-if forecast export ARN with the DescribeWhatIfForecastExport operation.
  
  This is a convenience which creates an instance of the ListWhatIfForecastExportsRequest.Builder avoiding the need to create one manually via ListWhatIfForecastExportsRequest.builder()
  Parameters:
  
  listWhatIfForecastExportsRequest - A Consumer that will call methods on ListWhatIfForecastExportsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListWhatIfForecastExports operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listWhatIfForecastExportsPaginator
  
  default ListWhatIfForecastExportsIterable listWhatIfForecastExportsPaginator(ListWhatIfForecastExportsRequest listWhatIfForecastExportsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listWhatIfForecastExports(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastExportsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastExportsIterable responses = client.listWhatIfForecastExportsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastExportsIterable responses = client .listWhatIfForecastExportsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListWhatIfForecastExportsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastExportsIterable responses = client.listWhatIfForecastExportsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listWhatIfForecastExports(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastExportsRequest) operation.
  Parameters:
  
  listWhatIfForecastExportsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listWhatIfForecastExportsPaginator
  
  default ListWhatIfForecastExportsIterable listWhatIfForecastExportsPaginator(Consumer<ListWhatIfForecastExportsRequest.Builder> listWhatIfForecastExportsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listWhatIfForecastExports(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastExportsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastExportsIterable responses = client.listWhatIfForecastExportsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastExportsIterable responses = client .listWhatIfForecastExportsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListWhatIfForecastExportsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastExportsIterable responses = client.listWhatIfForecastExportsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listWhatIfForecastExports(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastExportsRequest) operation.
  
  This is a convenience which creates an instance of the ListWhatIfForecastExportsRequest.Builder avoiding the need to create one manually via ListWhatIfForecastExportsRequest.builder()
  Parameters:
  
  listWhatIfForecastExportsRequest - A Consumer that will call methods on ListWhatIfForecastExportsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listWhatIfForecasts
  
  default ListWhatIfForecastsResponse listWhatIfForecasts(ListWhatIfForecastsRequest listWhatIfForecastsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of what-if forecasts created using the CreateWhatIfForecast operation. For each what-if forecast, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the what-if forecast ARN with the DescribeWhatIfForecast operation.
  Parameters:
  
  listWhatIfForecastsRequest -
  
  Returns:
  
  Result of the ListWhatIfForecasts operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listWhatIfForecasts
  
  default ListWhatIfForecastsResponse listWhatIfForecasts(Consumer<ListWhatIfForecastsRequest.Builder> listWhatIfForecastsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Returns a list of what-if forecasts created using the CreateWhatIfForecast operation. For each what-if forecast, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the what-if forecast ARN with the DescribeWhatIfForecast operation.
  
  This is a convenience which creates an instance of the ListWhatIfForecastsRequest.Builder avoiding the need to create one manually via ListWhatIfForecastsRequest.builder()
  Parameters:
  
  listWhatIfForecastsRequest - A Consumer that will call methods on ListWhatIfForecastsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListWhatIfForecasts operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listWhatIfForecastsPaginator
  
  default ListWhatIfForecastsIterable listWhatIfForecastsPaginator(ListWhatIfForecastsRequest listWhatIfForecastsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listWhatIfForecasts(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastsIterable responses = client.listWhatIfForecastsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastsIterable responses = client .listWhatIfForecastsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListWhatIfForecastsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastsIterable responses = client.listWhatIfForecastsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listWhatIfForecasts(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastsRequest) operation.
  Parameters:
  
  listWhatIfForecastsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listWhatIfForecastsPaginator
  
  default ListWhatIfForecastsIterable listWhatIfForecastsPaginator(Consumer<ListWhatIfForecastsRequest.Builder> listWhatIfForecastsRequest) throws InvalidNextTokenException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  This is a variant of listWhatIfForecasts(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastsIterable responses = client.listWhatIfForecastsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastsIterable responses = client .listWhatIfForecastsPaginator(request); for (software.amazon.awssdk.services.forecast.model.ListWhatIfForecastsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.forecast.paginators.ListWhatIfForecastsIterable responses = client.listWhatIfForecastsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listWhatIfForecasts(software.amazon.awssdk.services.forecast.model.ListWhatIfForecastsRequest) operation.
  
  This is a convenience which creates an instance of the ListWhatIfForecastsRequest.Builder avoiding the need to create one manually via ListWhatIfForecastsRequest.builder()
  Parameters:
  
  listWhatIfForecastsRequest - A Consumer that will call methods on ListWhatIfForecastsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- resumeResource
  
  default ResumeResourceResponse resumeResource(ResumeResourceRequest resumeResourceRequest) throws InvalidInputException, LimitExceededException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Resumes a stopped monitor resource.
  Parameters:
  
  resumeResourceRequest -
  
  Returns:
  
  Result of the ResumeResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- resumeResource
  
  default ResumeResourceResponse resumeResource(Consumer<ResumeResourceRequest.Builder> resumeResourceRequest) throws InvalidInputException, LimitExceededException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Resumes a stopped monitor resource.
  
  This is a convenience which creates an instance of the ResumeResourceRequest.Builder avoiding the need to create one manually via ResumeResourceRequest.builder()
  Parameters:
  
  resumeResourceRequest - A Consumer that will call methods on ResumeResourceRequest.Builder to create a request.
  
  Returns:
  
  Result of the ResumeResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- stopResource
  
  default StopResourceResponse stopResource(StopResourceRequest stopResourceRequest) throws InvalidInputException, LimitExceededException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Stops a resource.
  
  The resource undergoes the following states: CREATE_STOPPING and CREATE_STOPPED. You cannot resume a resource once it has been stopped.
  
  This operation can be applied to the following resources (and their corresponding child resources):
  
  Dataset Import Job
  
  Predictor Job
  
  Forecast Job
  
  Forecast Export Job
  
  Predictor Backtest Export Job
  
  Explainability Job
  
  Explainability Export Job
  Parameters:
  
  stopResourceRequest -
  
  Returns:
  
  Result of the StopResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- stopResource
  
  default StopResourceResponse stopResource(Consumer<StopResourceRequest.Builder> stopResourceRequest) throws InvalidInputException, LimitExceededException, ResourceNotFoundException, AwsServiceException, SdkClientException, ForecastException
  Stops a resource.
  
  The resource undergoes the following states: CREATE_STOPPING and CREATE_STOPPED. You cannot resume a resource once it has been stopped.
  
  This operation can be applied to the following resources (and their corresponding child resources):
  
  Dataset Import Job
  
  Predictor Job
  
  Forecast Job
  
  Forecast Export Job
  
  Predictor Backtest Export Job
  
  Explainability Job
  
  Explainability Export Job
  
  This is a convenience which creates an instance of the StopResourceRequest.Builder avoiding the need to create one manually via StopResourceRequest.builder()
  Parameters:
  
  stopResourceRequest - A Consumer that will call methods on StopResourceRequest.Builder to create a request.
  
  Returns:
  
  Result of the StopResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- tagResource
  
  default TagResourceResponse tagResource(TagResourceRequest tagResourceRequest) throws ResourceNotFoundException, LimitExceededException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Associates the specified tags to a resource with the specified resourceArn. If existing tags on a resource are not specified in the request parameters, they are not changed. When a resource is deleted, the tags associated with that resource are also deleted.
  Parameters:
  
  tagResourceRequest -
  
  Returns:
  
  Result of the TagResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- tagResource
  
  default TagResourceResponse tagResource(Consumer<TagResourceRequest.Builder> tagResourceRequest) throws ResourceNotFoundException, LimitExceededException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Associates the specified tags to a resource with the specified resourceArn. If existing tags on a resource are not specified in the request parameters, they are not changed. When a resource is deleted, the tags associated with that resource are also deleted.
  
  This is a convenience which creates an instance of the TagResourceRequest.Builder avoiding the need to create one manually via TagResourceRequest.builder()
  Parameters:
  
  tagResourceRequest - A Consumer that will call methods on TagResourceRequest.Builder to create a request.
  
  Returns:
  
  Result of the TagResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- untagResource
  
  default UntagResourceResponse untagResource(UntagResourceRequest untagResourceRequest) throws ResourceNotFoundException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes the specified tags from a resource.
  Parameters:
  
  untagResourceRequest -
  
  Returns:
  
  Result of the UntagResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- untagResource
  
  default UntagResourceResponse untagResource(Consumer<UntagResourceRequest.Builder> untagResourceRequest) throws ResourceNotFoundException, InvalidInputException, AwsServiceException, SdkClientException, ForecastException
  
  Deletes the specified tags from a resource.
  
  This is a convenience which creates an instance of the UntagResourceRequest.Builder avoiding the need to create one manually via UntagResourceRequest.builder()
  Parameters:
  
  untagResourceRequest - A Consumer that will call methods on UntagResourceRequest.Builder to create a request.
  
  Returns:
  
  Result of the UntagResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- updateDatasetGroup
  
  default UpdateDatasetGroupResponse updateDatasetGroup(UpdateDatasetGroupRequest updateDatasetGroupRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Replaces the datasets in a dataset group with the specified datasets.
  
  The Status of the dataset group must be ACTIVE before you can use the dataset group to create a predictor. Use the DescribeDatasetGroup operation to get the status.
  Parameters:
  
  updateDatasetGroupRequest -
  
  Returns:
  
  Result of the UpdateDatasetGroup operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- updateDatasetGroup
  
  default UpdateDatasetGroupResponse updateDatasetGroup(Consumer<UpdateDatasetGroupRequest.Builder> updateDatasetGroupRequest) throws InvalidInputException, ResourceNotFoundException, ResourceInUseException, AwsServiceException, SdkClientException, ForecastException
  
  Replaces the datasets in a dataset group with the specified datasets.
  
  The Status of the dataset group must be ACTIVE before you can use the dataset group to create a predictor. Use the DescribeDatasetGroup operation to get the status.
  
  This is a convenience which creates an instance of the UpdateDatasetGroupRequest.Builder avoiding the need to create one manually via UpdateDatasetGroupRequest.builder()
  Parameters:
  
  updateDatasetGroupRequest - A Consumer that will call methods on UpdateDatasetGroupRequest.Builder to create a request.
  
  Returns:
  
  Result of the UpdateDatasetGroup operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- create
  
  static ForecastClient create()
  
  Create a ForecastClient with the region loaded from the DefaultAwsRegionProviderChain and credentials loaded from the DefaultCredentialsProvider.
- builder
  
  static ForecastClientBuilder builder()
  
  Create a builder that can be used to configure and create a ForecastClient.
- serviceMetadata
  
  static ServiceMetadata serviceMetadata()
- serviceClientConfiguration
  
  default ForecastServiceClientConfiguration serviceClientConfiguration()
  
  Description copied from interface: SdkClient
  
  The SDK service client configuration exposes client settings to the user, e.g., ClientOverrideConfiguration
  
  Specified by:
  
  serviceClientConfiguration in interface AwsClient
  
  Specified by:
  
  serviceClientConfiguration in interface SdkClient
  
  Returns:
  
  SdkServiceClientConfiguration

Interface ForecastClient

Field Summary

Method Summary

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

Methods inherited from interface software.amazon.awssdk.core.SdkClient

Field Details

SERVICE_NAME

SERVICE_METADATA_ID

Method Details

createAutoPredictor

createAutoPredictor

createDataset

createDataset

createDatasetGroup

createDatasetGroup

createDatasetImportJob

createDatasetImportJob

createExplainability

createExplainability

createExplainabilityExport

createExplainabilityExport

createForecast

createForecast

createForecastExportJob

createForecastExportJob

createMonitor

createMonitor

createPredictor

createPredictor

createPredictorBacktestExportJob

createPredictorBacktestExportJob

createWhatIfAnalysis

createWhatIfAnalysis

createWhatIfForecast

createWhatIfForecast

createWhatIfForecastExport

createWhatIfForecastExport

deleteDataset

deleteDataset

deleteDatasetGroup

deleteDatasetGroup

deleteDatasetImportJob

deleteDatasetImportJob

deleteExplainability

deleteExplainability

deleteExplainabilityExport

deleteExplainabilityExport

deleteForecast

deleteForecast

deleteForecastExportJob

deleteForecastExportJob

deleteMonitor

deleteMonitor

deletePredictor

deletePredictor

deletePredictorBacktestExportJob

deletePredictorBacktestExportJob

deleteResourceTree

deleteResourceTree

deleteWhatIfAnalysis

deleteWhatIfAnalysis

deleteWhatIfForecast

deleteWhatIfForecast

deleteWhatIfForecastExport

deleteWhatIfForecastExport

describeAutoPredictor

describeAutoPredictor

describeDataset

describeDataset

describeDatasetGroup

describeDatasetGroup

describeDatasetImportJob

describeDatasetImportJob

describeExplainability

describeExplainability

describeExplainabilityExport

describeExplainabilityExport

describeForecast

describeForecast

describeForecastExportJob