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The ExplainabilityConfig data type defines the number of time series and time points included in CreateExplainability.
If you provide a predictor ARN for ResourceArn, you must set both
TimePointGranularity and TimeSeriesGranularity to “ALL”.
When creating Predictor Explainability, Amazon Forecast considers all time series and
time points.
If you provide a forecast ARN for ResourceArn, you can set
TimePointGranularity and TimeSeriesGranularity to either
“ALL” or “Specific”.
Contents
- TimePointGranularity
-
To create an Explainability for all time points in your forecast horizon, use
ALL. To create an Explainability for specific time points in your forecast horizon, useSPECIFIC.Specify time points with the
StartDateTimeandEndDateTimeparameters within the CreateExplainability operation.Type: String
Valid Values:
ALL | SPECIFICRequired: Yes
- TimeSeriesGranularity
-
To create an Explainability for all time series in your datasets, use
ALL. To create an Explainability for specific time series in your datasets, useSPECIFIC.Specify time series by uploading a CSV or Parquet file to an Amazon S3 bucket and set the location within the DataDestination data type.
Type: String
Valid Values:
ALL | SPECIFICRequired: Yes
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
