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TimeSeriesReplacementsDataSource
A replacement dataset is a modified version of the baseline related time series that contains only the values that you want to include in a what-if forecast. The replacement dataset must contain the forecast dimensions and item identifiers in the baseline related time series as well as at least 1 changed time series. This dataset is merged with the baseline related time series to create a transformed dataset that is used for the what-if forecast.
Contents
- S3Config
-
The path to the file(s) in an Amazon Simple Storage Service (Amazon S3) bucket, and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the file(s). Optionally, includes an AWS Key Management Service (KMS) key. This object is part of the DataSource object that is submitted in the CreateDatasetImportJob request, and part of the DataDestination object.
Type: S3Config object
Required: Yes
- Schema
-
Defines the fields of a dataset.
Type: Schema object
Required: Yes
- Format
-
The format of the replacement data, which must be CSV.
Type: String
Length Constraints: Maximum length of 7.
Pattern:
^CSV|PARQUET$Required: No
- TimestampFormat
-
The timestamp format of the replacement data.
Type: String
Length Constraints: Maximum length of 256.
Pattern:
^[a-zA-Z0-9\-\:\.\,\'\s]+$Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
