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.

Types

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class Builder
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object Companion

Properties

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The format of the replacement data, CSV or PARQUET.

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The path to the file(s) in an Amazon Simple Storage Service (Amazon S3) bucket, and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the file(s). Optionally, includes an 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.

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Defines the fields of a dataset.

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The timestamp format of the replacement data.

Functions

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open operator override fun equals(other: Any?): Boolean
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open override fun hashCode(): Int
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open override fun toString(): String