ExplainabilityConfig

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, use SPECIFIC.

Specify time points with the StartDateTime and EndDateTime parameters within the CreateExplainability operation.

Type: String

Valid Values: ALL | SPECIFIC

Required: 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, use SPECIFIC.

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 | SPECIFIC

Required: Yes

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

• AWS SDK for C++

• AWS SDK for Java V2

• AWS SDK for Ruby V3