Provides APIs for creating and managing Amazon Forecast resources.
forecastservice(
config = list(),
credentials = list(),
endpoint = NULL,
region = NULL
)
A client for the service. You can call the service's operations using
syntax like svc$operation(...)
, where svc
is the name you've assigned
to the client. The available operations are listed in the
Operations section.
Optional configuration of credentials, endpoint, and/or region.
credentials:
creds:
access_key_id: AWS access key ID
secret_access_key: AWS secret access key
session_token: AWS temporary session token
profile: The name of a profile to use. If not given, then the default profile is used.
anonymous: Set anonymous credentials.
endpoint: The complete URL to use for the constructed client.
region: The AWS Region used in instantiating the client.
close_connection: Immediately close all HTTP connections.
timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.
s3_force_path_style: Set this to true
to force the request to use path-style addressing, i.e. http://s3.amazonaws.com/BUCKET/KEY
.
sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html
Optional credentials shorthand for the config parameter
creds:
access_key_id: AWS access key ID
secret_access_key: AWS secret access key
session_token: AWS temporary session token
profile: The name of a profile to use. If not given, then the default profile is used.
anonymous: Set anonymous credentials.
Optional shorthand for complete URL to use for the constructed client.
Optional shorthand for AWS Region used in instantiating the client.
svc <- forecastservice(
config = list(
credentials = list(
creds = list(
access_key_id = "string",
secret_access_key = "string",
session_token = "string"
),
profile = "string",
anonymous = "logical"
),
endpoint = "string",
region = "string",
close_connection = "logical",
timeout = "numeric",
s3_force_path_style = "logical",
sts_regional_endpoint = "string"
),
credentials = list(
creds = list(
access_key_id = "string",
secret_access_key = "string",
session_token = "string"
),
profile = "string",
anonymous = "logical"
),
endpoint = "string",
region = "string"
)
create_auto_predictor | Creates an Amazon Forecast predictor |
create_dataset | Creates an Amazon Forecast dataset |
create_dataset_group | Creates a dataset group, which holds a collection of related datasets |
create_dataset_import_job | Imports your training data to an Amazon Forecast dataset |
create_explainability | Explainability is only available for Forecasts and Predictors generated from an AutoPredictor (CreateAutoPredictor) |
create_explainability_export | Exports an Explainability resource created by the CreateExplainability operation |
create_forecast | Creates a forecast for each item in the TARGET_TIME_SERIES dataset that was used to train the predictor |
create_forecast_export_job | Exports a forecast created by the CreateForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket |
create_monitor | Creates a predictor monitor resource for an existing auto predictor |
create_predictor | This operation creates a legacy predictor that does not include all the predictor functionalities provided by Amazon Forecast |
create_predictor_backtest_export_job | Exports backtest forecasts and accuracy metrics generated by the CreateAutoPredictor or CreatePredictor operations |
create_what_if_analysis | 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 |
create_what_if_forecast | A what-if forecast is a forecast that is created from a modified version of the baseline forecast |
create_what_if_forecast_export | Exports a forecast created by the CreateWhatIfForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket |
delete_dataset | Deletes an Amazon Forecast dataset that was created using the CreateDataset operation |
delete_dataset_group | Deletes a dataset group created using the CreateDatasetGroup operation |
delete_dataset_import_job | Deletes a dataset import job created using the CreateDatasetImportJob operation |
delete_explainability | Deletes an Explainability resource |
delete_explainability_export | Deletes an Explainability export |
delete_forecast | Deletes a forecast created using the CreateForecast operation |
delete_forecast_export_job | Deletes a forecast export job created using the CreateForecastExportJob operation |
delete_monitor | Deletes a monitor resource |
delete_predictor | Deletes a predictor created using the DescribePredictor or CreatePredictor operations |
delete_predictor_backtest_export_job | Deletes a predictor backtest export job |
delete_resource_tree | Deletes an entire resource tree |
delete_what_if_analysis | Deletes a what-if analysis created using the CreateWhatIfAnalysis operation |
delete_what_if_forecast | Deletes a what-if forecast created using the CreateWhatIfForecast operation |
delete_what_if_forecast_export | Deletes a what-if forecast export created using the CreateWhatIfForecastExport operation |
describe_auto_predictor | Describes a predictor created using the CreateAutoPredictor operation |
describe_dataset | Describes an Amazon Forecast dataset created using the CreateDataset operation |
describe_dataset_group | Describes a dataset group created using the CreateDatasetGroup operation |
describe_dataset_import_job | Describes a dataset import job created using the CreateDatasetImportJob operation |
describe_explainability | Describes an Explainability resource created using the CreateExplainability operation |
describe_explainability_export | Describes an Explainability export created using the CreateExplainabilityExport operation |
describe_forecast | Describes a forecast created using the CreateForecast operation |
describe_forecast_export_job | Describes a forecast export job created using the CreateForecastExportJob operation |
describe_monitor | Describes a monitor resource |
describe_predictor | This operation is only valid for legacy predictors created with CreatePredictor |
describe_predictor_backtest_export_job | Describes a predictor backtest export job created using the CreatePredictorBacktestExportJob operation |
describe_what_if_analysis | Describes the what-if analysis created using the CreateWhatIfAnalysis operation |
describe_what_if_forecast | Describes the what-if forecast created using the CreateWhatIfForecast operation |
describe_what_if_forecast_export | Describes the what-if forecast export created using the CreateWhatIfForecastExport operation |
get_accuracy_metrics | Provides metrics on the accuracy of the models that were trained by the CreatePredictor operation |
list_dataset_groups | Returns a list of dataset groups created using the CreateDatasetGroup operation |
list_dataset_import_jobs | Returns a list of dataset import jobs created using the CreateDatasetImportJob operation |
list_datasets | Returns a list of datasets created using the CreateDataset operation |
list_explainabilities | Returns a list of Explainability resources created using the CreateExplainability operation |
list_explainability_exports | Returns a list of Explainability exports created using the CreateExplainabilityExport operation |
list_forecast_export_jobs | Returns a list of forecast export jobs created using the CreateForecastExportJob operation |
list_forecasts | Returns a list of forecasts created using the CreateForecast operation |
list_monitor_evaluations | Returns a list of the monitoring evaluation results and predictor events collected by the monitor resource during different windows of time |
list_monitors | Returns a list of monitors created with the CreateMonitor operation and CreateAutoPredictor operation |
list_predictor_backtest_export_jobs | Returns a list of predictor backtest export jobs created using the CreatePredictorBacktestExportJob operation |
list_predictors | Returns a list of predictors created using the CreateAutoPredictor or CreatePredictor operations |
list_tags_for_resource | Lists the tags for an Amazon Forecast resource |
list_what_if_analyses | Returns a list of what-if analyses created using the CreateWhatIfAnalysis operation |
list_what_if_forecast_exports | Returns a list of what-if forecast exports created using the CreateWhatIfForecastExport operation |
list_what_if_forecasts | Returns a list of what-if forecasts created using the CreateWhatIfForecast operation |
resume_resource | Resumes a stopped monitor resource |
stop_resource | Stops a resource |
tag_resource | Associates the specified tags to a resource with the specified resourceArn |
untag_resource | Deletes the specified tags from a resource |
update_dataset_group | Replaces the datasets in a dataset group with the specified datasets |
if (FALSE) {
svc <- forecastservice()
svc$create_auto_predictor(
Foo = 123
)
}
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