Create Predictor Backtest Export Job
forecastservice_create_predictor_backtest_export_job | R Documentation |
Exports backtest forecasts and accuracy metrics generated by the CreateAutoPredictor or CreatePredictor operations¶
Description¶
Exports backtest forecasts and accuracy metrics generated by the
create_auto_predictor
or create_predictor
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
describe_predictor_backtest_export_job
operation.
Usage¶
forecastservice_create_predictor_backtest_export_job(
PredictorBacktestExportJobName, PredictorArn, Destination, Tags, Format)
Arguments¶
PredictorBacktestExportJobName |
[required] The name for the backtest export job. |
PredictorArn |
[required] The Amazon Resource Name (ARN) of the predictor that you want to export. |
Destination |
[required] |
Tags |
Optional metadata to help you categorize and organize your backtests. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive. The following restrictions apply to tags:
|
Format |
The format of the exported data, CSV or PARQUET. The default value is CSV. |
Value¶
A list with the following syntax:
list(
PredictorBacktestExportJobArn = "string"
)
Request syntax¶
svc$create_predictor_backtest_export_job(
PredictorBacktestExportJobName = "string",
PredictorArn = "string",
Destination = list(
S3Config = list(
Path = "string",
RoleArn = "string",
KMSKeyArn = "string"
)
),
Tags = list(
list(
Key = "string",
Value = "string"
)
),
Format = "string"
)