@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAmazonForecastAsync extends AbstractAmazonForecast implements AmazonForecastAsync
AmazonForecastAsync. Convenient method forms pass through to the corresponding
overload that takes a request object and an AsyncHandler, which throws an
UnsupportedOperationException.ENDPOINT_PREFIX| Modifier | Constructor and Description |
|---|---|
protected |
AbstractAmazonForecastAsync() |
createDataset, createDatasetGroup, createDatasetImportJob, createForecast, createForecastExportJob, createPredictor, createPredictorBacktestExportJob, deleteDataset, deleteDatasetGroup, deleteDatasetImportJob, deleteForecast, deleteForecastExportJob, deletePredictor, deletePredictorBacktestExportJob, describeDataset, describeDatasetGroup, describeDatasetImportJob, describeForecast, describeForecastExportJob, describePredictor, describePredictorBacktestExportJob, getAccuracyMetrics, getCachedResponseMetadata, listDatasetGroups, listDatasetImportJobs, listDatasets, listForecastExportJobs, listForecasts, listPredictorBacktestExportJobs, listPredictors, listTagsForResource, shutdown, tagResource, untagResource, updateDatasetGroupclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitcreateDataset, createDatasetGroup, createDatasetImportJob, createForecast, createForecastExportJob, createPredictor, createPredictorBacktestExportJob, deleteDataset, deleteDatasetGroup, deleteDatasetImportJob, deleteForecast, deleteForecastExportJob, deletePredictor, deletePredictorBacktestExportJob, describeDataset, describeDatasetGroup, describeDatasetImportJob, describeForecast, describeForecastExportJob, describePredictor, describePredictorBacktestExportJob, getAccuracyMetrics, getCachedResponseMetadata, listDatasetGroups, listDatasetImportJobs, listDatasets, listForecastExportJobs, listForecasts, listPredictorBacktestExportJobs, listPredictors, listTagsForResource, shutdown, tagResource, untagResource, updateDatasetGrouppublic Future<CreateDatasetResult> createDatasetAsync(CreateDatasetRequest request)
AmazonForecastAsyncCreates 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 howitworks-datasets-groups.
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.
createDatasetAsync in interface AmazonForecastAsyncpublic Future<CreateDatasetResult> createDatasetAsync(CreateDatasetRequest request, AsyncHandler<CreateDatasetRequest,CreateDatasetResult> asyncHandler)
AmazonForecastAsyncCreates 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 howitworks-datasets-groups.
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.
createDatasetAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateDatasetGroupResult> createDatasetGroupAsync(CreateDatasetGroupRequest request)
AmazonForecastAsyncCreates 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 howitworks-datasets-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.
createDatasetGroupAsync in interface AmazonForecastAsyncpublic Future<CreateDatasetGroupResult> createDatasetGroupAsync(CreateDatasetGroupRequest request, AsyncHandler<CreateDatasetGroupRequest,CreateDatasetGroupResult> asyncHandler)
AmazonForecastAsyncCreates 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 howitworks-datasets-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.
createDatasetGroupAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateDatasetImportJobResult> createDatasetImportJobAsync(CreateDatasetImportJobRequest request)
AmazonForecastAsyncImports 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 AWS 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 AWS system. For more information, see aws-forecast-iam-roles.
The training data must be in CSV format. The delimiter must be a comma (,).
You can specify the path to a specific CSV 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.
createDatasetImportJobAsync in interface AmazonForecastAsyncpublic Future<CreateDatasetImportJobResult> createDatasetImportJobAsync(CreateDatasetImportJobRequest request, AsyncHandler<CreateDatasetImportJobRequest,CreateDatasetImportJobResult> asyncHandler)
AmazonForecastAsyncImports 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 AWS 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 AWS system. For more information, see aws-forecast-iam-roles.
The training data must be in CSV format. The delimiter must be a comma (,).
You can specify the path to a specific CSV 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.
createDatasetImportJobAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateForecastResult> createForecastAsync(CreateForecastRequest request)
AmazonForecastAsync
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.
createForecastAsync in interface AmazonForecastAsyncpublic Future<CreateForecastResult> createForecastAsync(CreateForecastRequest request, AsyncHandler<CreateForecastRequest,CreateForecastResult> asyncHandler)
AmazonForecastAsync
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.
createForecastAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateForecastExportJobResult> createForecastExportJobAsync(CreateForecastExportJobRequest request)
AmazonForecastAsyncExports 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 AWS 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.
createForecastExportJobAsync in interface AmazonForecastAsyncpublic Future<CreateForecastExportJobResult> createForecastExportJobAsync(CreateForecastExportJobRequest request, AsyncHandler<CreateForecastExportJobRequest,CreateForecastExportJobResult> asyncHandler)
AmazonForecastAsyncExports 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 AWS 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.
createForecastExportJobAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreatePredictorResult> createPredictorAsync(CreatePredictorRequest request)
AmazonForecastAsyncCreates 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.
createPredictorAsync in interface AmazonForecastAsyncpublic Future<CreatePredictorResult> createPredictorAsync(CreatePredictorRequest request, AsyncHandler<CreatePredictorRequest,CreatePredictorResult> asyncHandler)
AmazonForecastAsyncCreates 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.
createPredictorAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreatePredictorBacktestExportJobResult> createPredictorBacktestExportJobAsync(CreatePredictorBacktestExportJobRequest request)
AmazonForecastAsyncExports backtest forecasts and accuracy metrics generated by the CreatePredictor operation. Two folders containing CSV 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 AWS 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.
createPredictorBacktestExportJobAsync in interface AmazonForecastAsyncpublic Future<CreatePredictorBacktestExportJobResult> createPredictorBacktestExportJobAsync(CreatePredictorBacktestExportJobRequest request, AsyncHandler<CreatePredictorBacktestExportJobRequest,CreatePredictorBacktestExportJobResult> asyncHandler)
AmazonForecastAsyncExports backtest forecasts and accuracy metrics generated by the CreatePredictor operation. Two folders containing CSV 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 AWS 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.
createPredictorBacktestExportJobAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteDatasetResult> deleteDatasetAsync(DeleteDatasetRequest request)
AmazonForecastAsync
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 operation, omitting the deleted dataset's ARN.
deleteDatasetAsync in interface AmazonForecastAsyncpublic Future<DeleteDatasetResult> deleteDatasetAsync(DeleteDatasetRequest request, AsyncHandler<DeleteDatasetRequest,DeleteDatasetResult> asyncHandler)
AmazonForecastAsync
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 operation, omitting the deleted dataset's ARN.
deleteDatasetAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteDatasetGroupResult> deleteDatasetGroupAsync(DeleteDatasetGroupRequest request)
AmazonForecastAsync
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.
deleteDatasetGroupAsync in interface AmazonForecastAsyncpublic Future<DeleteDatasetGroupResult> deleteDatasetGroupAsync(DeleteDatasetGroupRequest request, AsyncHandler<DeleteDatasetGroupRequest,DeleteDatasetGroupResult> asyncHandler)
AmazonForecastAsync
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.
deleteDatasetGroupAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteDatasetImportJobResult> deleteDatasetImportJobAsync(DeleteDatasetImportJobRequest request)
AmazonForecastAsync
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.
deleteDatasetImportJobAsync in interface AmazonForecastAsyncpublic Future<DeleteDatasetImportJobResult> deleteDatasetImportJobAsync(DeleteDatasetImportJobRequest request, AsyncHandler<DeleteDatasetImportJobRequest,DeleteDatasetImportJobResult> asyncHandler)
AmazonForecastAsync
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.
deleteDatasetImportJobAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteForecastResult> deleteForecastAsync(DeleteForecastRequest request)
AmazonForecastAsync
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.
deleteForecastAsync in interface AmazonForecastAsyncpublic Future<DeleteForecastResult> deleteForecastAsync(DeleteForecastRequest request, AsyncHandler<DeleteForecastRequest,DeleteForecastResult> asyncHandler)
AmazonForecastAsync
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.
deleteForecastAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteForecastExportJobResult> deleteForecastExportJobAsync(DeleteForecastExportJobRequest request)
AmazonForecastAsync
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.
deleteForecastExportJobAsync in interface AmazonForecastAsyncpublic Future<DeleteForecastExportJobResult> deleteForecastExportJobAsync(DeleteForecastExportJobRequest request, AsyncHandler<DeleteForecastExportJobRequest,DeleteForecastExportJobResult> asyncHandler)
AmazonForecastAsync
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.
deleteForecastExportJobAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeletePredictorResult> deletePredictorAsync(DeletePredictorRequest request)
AmazonForecastAsync
Deletes a predictor created using the CreatePredictor operation. You can delete only predictor that have a
status of ACTIVE or CREATE_FAILED. To get the status, use the DescribePredictor
operation.
deletePredictorAsync in interface AmazonForecastAsyncpublic Future<DeletePredictorResult> deletePredictorAsync(DeletePredictorRequest request, AsyncHandler<DeletePredictorRequest,DeletePredictorResult> asyncHandler)
AmazonForecastAsync
Deletes a predictor created using the CreatePredictor operation. You can delete only predictor that have a
status of ACTIVE or CREATE_FAILED. To get the status, use the DescribePredictor
operation.
deletePredictorAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeletePredictorBacktestExportJobResult> deletePredictorBacktestExportJobAsync(DeletePredictorBacktestExportJobRequest request)
AmazonForecastAsyncDeletes a predictor backtest export job.
deletePredictorBacktestExportJobAsync in interface AmazonForecastAsyncpublic Future<DeletePredictorBacktestExportJobResult> deletePredictorBacktestExportJobAsync(DeletePredictorBacktestExportJobRequest request, AsyncHandler<DeletePredictorBacktestExportJobRequest,DeletePredictorBacktestExportJobResult> asyncHandler)
AmazonForecastAsyncDeletes a predictor backtest export job.
deletePredictorBacktestExportJobAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDatasetResult> describeDatasetAsync(DescribeDatasetRequest request)
AmazonForecastAsyncDescribes 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
describeDatasetAsync in interface AmazonForecastAsyncpublic Future<DescribeDatasetResult> describeDatasetAsync(DescribeDatasetRequest request, AsyncHandler<DescribeDatasetRequest,DescribeDatasetResult> asyncHandler)
AmazonForecastAsyncDescribes 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
describeDatasetAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDatasetGroupResult> describeDatasetGroupAsync(DescribeDatasetGroupRequest request)
AmazonForecastAsyncDescribes 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
describeDatasetGroupAsync in interface AmazonForecastAsyncpublic Future<DescribeDatasetGroupResult> describeDatasetGroupAsync(DescribeDatasetGroupRequest request, AsyncHandler<DescribeDatasetGroupRequest,DescribeDatasetGroupResult> asyncHandler)
AmazonForecastAsyncDescribes 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
describeDatasetGroupAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDatasetImportJobResult> describeDatasetImportJobAsync(DescribeDatasetImportJobRequest request)
AmazonForecastAsyncDescribes 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.
describeDatasetImportJobAsync in interface AmazonForecastAsyncpublic Future<DescribeDatasetImportJobResult> describeDatasetImportJobAsync(DescribeDatasetImportJobRequest request, AsyncHandler<DescribeDatasetImportJobRequest,DescribeDatasetImportJobResult> asyncHandler)
AmazonForecastAsyncDescribes 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.
describeDatasetImportJobAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeForecastResult> describeForecastAsync(DescribeForecastRequest request)
AmazonForecastAsyncDescribes 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.
describeForecastAsync in interface AmazonForecastAsyncpublic Future<DescribeForecastResult> describeForecastAsync(DescribeForecastRequest request, AsyncHandler<DescribeForecastRequest,DescribeForecastResult> asyncHandler)
AmazonForecastAsyncDescribes 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.
describeForecastAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeForecastExportJobResult> describeForecastExportJobAsync(DescribeForecastExportJobRequest request)
AmazonForecastAsyncDescribes 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.
describeForecastExportJobAsync in interface AmazonForecastAsyncpublic Future<DescribeForecastExportJobResult> describeForecastExportJobAsync(DescribeForecastExportJobRequest request, AsyncHandler<DescribeForecastExportJobRequest,DescribeForecastExportJobResult> asyncHandler)
AmazonForecastAsyncDescribes 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.
describeForecastExportJobAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribePredictorResult> describePredictorAsync(DescribePredictorRequest request)
AmazonForecastAsyncDescribes 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.
describePredictorAsync in interface AmazonForecastAsyncpublic Future<DescribePredictorResult> describePredictorAsync(DescribePredictorRequest request, AsyncHandler<DescribePredictorRequest,DescribePredictorResult> asyncHandler)
AmazonForecastAsyncDescribes 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.
describePredictorAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribePredictorBacktestExportJobResult> describePredictorBacktestExportJobAsync(DescribePredictorBacktestExportJobRequest request)
AmazonForecastAsyncDescribes 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)
describePredictorBacktestExportJobAsync in interface AmazonForecastAsyncpublic Future<DescribePredictorBacktestExportJobResult> describePredictorBacktestExportJobAsync(DescribePredictorBacktestExportJobRequest request, AsyncHandler<DescribePredictorBacktestExportJobRequest,DescribePredictorBacktestExportJobResult> asyncHandler)
AmazonForecastAsyncDescribes 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)
describePredictorBacktestExportJobAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetAccuracyMetricsResult> getAccuracyMetricsAsync(GetAccuracyMetricsRequest request)
AmazonForecastAsyncProvides 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.
getAccuracyMetricsAsync in interface AmazonForecastAsyncpublic Future<GetAccuracyMetricsResult> getAccuracyMetricsAsync(GetAccuracyMetricsRequest request, AsyncHandler<GetAccuracyMetricsRequest,GetAccuracyMetricsResult> asyncHandler)
AmazonForecastAsyncProvides 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.
getAccuracyMetricsAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDatasetGroupsResult> listDatasetGroupsAsync(ListDatasetGroupsRequest request)
AmazonForecastAsyncReturns 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.
listDatasetGroupsAsync in interface AmazonForecastAsyncpublic Future<ListDatasetGroupsResult> listDatasetGroupsAsync(ListDatasetGroupsRequest request, AsyncHandler<ListDatasetGroupsRequest,ListDatasetGroupsResult> asyncHandler)
AmazonForecastAsyncReturns 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.
listDatasetGroupsAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDatasetImportJobsResult> listDatasetImportJobsAsync(ListDatasetImportJobsRequest request)
AmazonForecastAsyncReturns 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.
listDatasetImportJobsAsync in interface AmazonForecastAsyncpublic Future<ListDatasetImportJobsResult> listDatasetImportJobsAsync(ListDatasetImportJobsRequest request, AsyncHandler<ListDatasetImportJobsRequest,ListDatasetImportJobsResult> asyncHandler)
AmazonForecastAsyncReturns 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.
listDatasetImportJobsAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDatasetsResult> listDatasetsAsync(ListDatasetsRequest request)
AmazonForecastAsyncReturns 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.
listDatasetsAsync in interface AmazonForecastAsyncpublic Future<ListDatasetsResult> listDatasetsAsync(ListDatasetsRequest request, AsyncHandler<ListDatasetsRequest,ListDatasetsResult> asyncHandler)
AmazonForecastAsyncReturns 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.
listDatasetsAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListForecastExportJobsResult> listForecastExportJobsAsync(ListForecastExportJobsRequest request)
AmazonForecastAsyncReturns 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.
listForecastExportJobsAsync in interface AmazonForecastAsyncpublic Future<ListForecastExportJobsResult> listForecastExportJobsAsync(ListForecastExportJobsRequest request, AsyncHandler<ListForecastExportJobsRequest,ListForecastExportJobsResult> asyncHandler)
AmazonForecastAsyncReturns 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.
listForecastExportJobsAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListForecastsResult> listForecastsAsync(ListForecastsRequest request)
AmazonForecastAsyncReturns 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.
listForecastsAsync in interface AmazonForecastAsyncpublic Future<ListForecastsResult> listForecastsAsync(ListForecastsRequest request, AsyncHandler<ListForecastsRequest,ListForecastsResult> asyncHandler)
AmazonForecastAsyncReturns 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.
listForecastsAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListPredictorBacktestExportJobsResult> listPredictorBacktestExportJobsAsync(ListPredictorBacktestExportJobsRequest request)
AmazonForecastAsyncReturns 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.
listPredictorBacktestExportJobsAsync in interface AmazonForecastAsyncpublic Future<ListPredictorBacktestExportJobsResult> listPredictorBacktestExportJobsAsync(ListPredictorBacktestExportJobsRequest request, AsyncHandler<ListPredictorBacktestExportJobsRequest,ListPredictorBacktestExportJobsResult> asyncHandler)
AmazonForecastAsyncReturns 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.
listPredictorBacktestExportJobsAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListPredictorsResult> listPredictorsAsync(ListPredictorsRequest request)
AmazonForecastAsyncReturns a list of predictors created using the CreatePredictor operation. 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 DescribePredictor operation. You can filter the list using an array of Filter objects.
listPredictorsAsync in interface AmazonForecastAsyncpublic Future<ListPredictorsResult> listPredictorsAsync(ListPredictorsRequest request, AsyncHandler<ListPredictorsRequest,ListPredictorsResult> asyncHandler)
AmazonForecastAsyncReturns a list of predictors created using the CreatePredictor operation. 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 DescribePredictor operation. You can filter the list using an array of Filter objects.
listPredictorsAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest request)
AmazonForecastAsyncLists the tags for an Amazon Forecast resource.
listTagsForResourceAsync in interface AmazonForecastAsyncpublic Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest request, AsyncHandler<ListTagsForResourceRequest,ListTagsForResourceResult> asyncHandler)
AmazonForecastAsyncLists the tags for an Amazon Forecast resource.
listTagsForResourceAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<TagResourceResult> tagResourceAsync(TagResourceRequest request)
AmazonForecastAsync
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.
tagResourceAsync in interface AmazonForecastAsyncpublic Future<TagResourceResult> tagResourceAsync(TagResourceRequest request, AsyncHandler<TagResourceRequest,TagResourceResult> asyncHandler)
AmazonForecastAsync
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.
tagResourceAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest request)
AmazonForecastAsyncDeletes the specified tags from a resource.
untagResourceAsync in interface AmazonForecastAsyncpublic Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest request, AsyncHandler<UntagResourceRequest,UntagResourceResult> asyncHandler)
AmazonForecastAsyncDeletes the specified tags from a resource.
untagResourceAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateDatasetGroupResult> updateDatasetGroupAsync(UpdateDatasetGroupRequest request)
AmazonForecastAsyncReplaces 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.
updateDatasetGroupAsync in interface AmazonForecastAsyncpublic Future<UpdateDatasetGroupResult> updateDatasetGroupAsync(UpdateDatasetGroupRequest request, AsyncHandler<UpdateDatasetGroupRequest,UpdateDatasetGroupResult> asyncHandler)
AmazonForecastAsyncReplaces 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.
updateDatasetGroupAsync in interface AmazonForecastAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Copyright © 2021. All rights reserved.