Paws::Forecast - Perl Interface to AWS Amazon Forecast Service
use Paws; my $obj = Paws->service('Forecast'); my $res = $obj->Method( Arg1 => $val1, Arg2 => [ 'V1', 'V2' ], # if Arg3 is an object, the HashRef will be used as arguments to the constructor # of the arguments type Arg3 => { Att1 => 'Val1' }, # if Arg4 is an array of objects, the HashRefs will be passed as arguments to # the constructor of the arguments type Arg4 => [ { Att1 => 'Val1' }, { Att1 => 'Val2' } ], );
Provides APIs for creating and managing Amazon Forecast resources.
For the AWS API documentation, see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26
Each argument is described in detail in: Paws::Forecast::CreateDataset
Returns: a Paws::Forecast::CreateDatasetResponse instance
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.
DataFrequency
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.
Domain
DatasetType
Schema - A schema specifies the fields in the dataset, including the field name and data type.
Schema
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 (https://github.com/aws-samples/amazon-forecast-samples).
The Status of a dataset must be ACTIVE before you can import training data. Use the DescribeDataset operation to get the status.
Status
ACTIVE
Each argument is described in detail in: Paws::Forecast::CreateDatasetGroup
Returns: a Paws::Forecast::CreateDatasetGroupResponse instance
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 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.
Each argument is described in detail in: Paws::Forecast::CreateDatasetImportJob
Returns: a Paws::Forecast::CreateDatasetImportJobResponse instance
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 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.
Each argument is described in detail in: Paws::Forecast::CreateForecast
Returns: a Paws::Forecast::CreateForecastResponse instance
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.
TARGET_TIME_SERIES
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.
ForecastHorizon
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.
Each argument is described in detail in: Paws::Forecast::CreateForecastExportJob
Returns: a Paws::Forecast::CreateForecastExportJobResponse instance
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 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.
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.
Each argument is described in detail in: Paws::Forecast::CreatePredictor
Returns: a Paws::Forecast::CreatePredictorResponse instance
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.
CreatePredictor
ForecastFrequency
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.
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.
objective function
PerformAutoML
true
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.
Each argument is described in detail in: Paws::Forecast::CreatePredictorBacktestExportJob
Returns: a Paws::Forecast::CreatePredictorBacktestExportJobResponse instance
Exports 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.
Each argument is described in detail in: Paws::Forecast::DeleteDataset
Returns: nothing
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.
CREATE_FAILED
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.
Each argument is described in detail in: Paws::Forecast::DeleteDatasetGroup
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.
UPDATE_FAILED
This operation deletes only the dataset group, not the datasets in the group.
Each argument is described in detail in: Paws::Forecast::DeleteDatasetImportJob
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.
Each argument is described in detail in: Paws::Forecast::DeleteForecast
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.
Each argument is described in detail in: Paws::Forecast::DeleteForecastExportJob
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.
Each argument is described in detail in: Paws::Forecast::DeletePredictor
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.
Each argument is described in detail in: Paws::Forecast::DeletePredictorBacktestExportJob
Deletes a predictor backtest export job.
Each argument is described in detail in: Paws::Forecast::DeleteResourceTree
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.
DeleteResourceTree
Each argument is described in detail in: Paws::Forecast::DescribeDataset
Returns: a Paws::Forecast::DescribeDatasetResponse instance
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:
CreateDataset
CreationTime
LastModificationTime
Each argument is described in detail in: Paws::Forecast::DescribeDatasetGroup
Returns: a Paws::Forecast::DescribeDatasetGroupResponse instance
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:
CreateDatasetGroup
DatasetArns - The datasets belonging to the group.
DatasetArns
Each argument is described in detail in: Paws::Forecast::DescribeDatasetImportJob
Returns: a Paws::Forecast::DescribeDatasetImportJobResponse instance
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:
CreateDatasetImportJob
DataSize
FieldStatistics
Message - If an error occurred, information about the error.
Message
Each argument is described in detail in: Paws::Forecast::DescribeForecast
Returns: a Paws::Forecast::DescribeForecastResponse instance
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:
CreateForecast
DatasetGroupArn - The dataset group that provided the training data.
DatasetGroupArn
Each argument is described in detail in: Paws::Forecast::DescribeForecastExportJob
Returns: a Paws::Forecast::DescribeForecastExportJobResponse instance
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:
CreateForecastExportJob
Each argument is described in detail in: Paws::Forecast::DescribePredictor
Returns: a Paws::Forecast::DescribePredictorResponse instance
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.
DatasetImportJobArns
AutoMLAlgorithmArns - If AutoML is performed, the algorithms that were evaluated.
AutoMLAlgorithmArns
Each argument is described in detail in: Paws::Forecast::DescribePredictorBacktestExportJob
Returns: a Paws::Forecast::DescribePredictorBacktestExportJobResponse instance
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:
CreatePredictorBacktestExportJob
Message (if an error occurred)
Each argument is described in detail in: Paws::Forecast::GetAccuracyMetrics
Returns: a Paws::Forecast::GetAccuracyMetricsResponse instance
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 (https://docs.aws.amazon.com/forecast/latest/dg/metrics.html).
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.
NumberOfBacktestWindows
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.
filling
zero
nan
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.
Each argument is described in detail in: Paws::Forecast::ListDatasetGroups
Returns: a Paws::Forecast::ListDatasetGroupsResponse instance
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.
Each argument is described in detail in: Paws::Forecast::ListDatasetImportJobs
Returns: a Paws::Forecast::ListDatasetImportJobsResponse instance
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.
Each argument is described in detail in: Paws::Forecast::ListDatasets
Returns: a Paws::Forecast::ListDatasetsResponse instance
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.
Each argument is described in detail in: Paws::Forecast::ListForecastExportJobs
Returns: a Paws::Forecast::ListForecastExportJobsResponse instance
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.
Each argument is described in detail in: Paws::Forecast::ListForecasts
Returns: a Paws::Forecast::ListForecastsResponse instance
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.
Each argument is described in detail in: Paws::Forecast::ListPredictorBacktestExportJobs
Returns: a Paws::Forecast::ListPredictorBacktestExportJobsResponse instance
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.
Each argument is described in detail in: Paws::Forecast::ListPredictors
Returns: a Paws::Forecast::ListPredictorsResponse instance
Returns 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.
Each argument is described in detail in: Paws::Forecast::ListTagsForResource
Returns: a Paws::Forecast::ListTagsForResourceResponse instance
Lists the tags for an Amazon Forecast resource.
Each argument is described in detail in: Paws::Forecast::StopResource
Stops a resource.
The resource undergoes the following states: CREATE_STOPPING and CREATE_STOPPED. You cannot resume a resource once it has been stopped.
CREATE_STOPPING
CREATE_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
Each argument is described in detail in: Paws::Forecast::TagResource
Returns: a Paws::Forecast::TagResourceResponse instance
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.
resourceArn
Each argument is described in detail in: Paws::Forecast::UntagResource
Returns: a Paws::Forecast::UntagResourceResponse instance
Deletes the specified tags from a resource.
Each argument is described in detail in: Paws::Forecast::UpdateDatasetGroup
Returns: a Paws::Forecast::UpdateDatasetGroupResponse instance
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.
Paginator methods are helpers that repetively call methods that return partial results
If passed a sub as first parameter, it will call the sub for each element found in :
- DatasetGroups, passing the object as the first parameter, and the string 'DatasetGroups' as the second parameter
If not, it will return a a Paws::Forecast::ListDatasetGroupsResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
param
- DatasetImportJobs, passing the object as the first parameter, and the string 'DatasetImportJobs' as the second parameter
If not, it will return a a Paws::Forecast::ListDatasetImportJobsResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
- Datasets, passing the object as the first parameter, and the string 'Datasets' as the second parameter
If not, it will return a a Paws::Forecast::ListDatasetsResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
- ForecastExportJobs, passing the object as the first parameter, and the string 'ForecastExportJobs' as the second parameter
If not, it will return a a Paws::Forecast::ListForecastExportJobsResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
- Forecasts, passing the object as the first parameter, and the string 'Forecasts' as the second parameter
If not, it will return a a Paws::Forecast::ListForecastsResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
- PredictorBacktestExportJobs, passing the object as the first parameter, and the string 'PredictorBacktestExportJobs' as the second parameter
If not, it will return a a Paws::Forecast::ListPredictorBacktestExportJobsResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
- Predictors, passing the object as the first parameter, and the string 'Predictors' as the second parameter
If not, it will return a a Paws::Forecast::ListPredictorsResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
This service class forms part of Paws
The source code is located here: https://github.com/pplu/aws-sdk-perl
Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues
To install Paws, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Paws
CPAN shell
perl -MCPAN -e shell install Paws
For more information on module installation, please visit the detailed CPAN module installation guide.