Default: DatasetGroup: Domain: RETAIL Datasets: - Domain: RETAIL DatasetType: TARGET_TIME_SERIES DataFrequency: D TimestampFormat: yyyy-MM-dd Schema: Attributes: - AttributeName: item_id AttributeType: string - AttributeName: timestamp AttributeType: timestamp - AttributeName: demand AttributeType: float Predictor: MaxAge: 604800 # one week AlgorithmArn: arn:aws:forecast:::algorithm/ARIMA ForecastHorizon: 30 FeaturizationConfig: ForecastFrequency: D Forecast: ForecastTypes: - "0.10" - "0.50" - "0.90" retail_experiment_2: DatasetGroup: Domain: RETAIL Datasets: - Domain: RETAIL DatasetType: TARGET_TIME_SERIES DataFrequency: D TimestampFormat: yyyy-MM-dd Schema: Attributes: - AttributeName: item_id AttributeType: string - AttributeName: timestamp AttributeType: timestamp - AttributeName: demand AttributeType: float - Domain: RETAIL DatasetType: RELATED_TIME_SERIES DataFrequency: D TimestampFormat: yyyy-MM-dd Schema: Attributes: - AttributeName: item_id AttributeType: string - AttributeName: timestamp AttributeType: timestamp - AttributeName: price AttributeType: float - Domain: RETAIL DatasetType: ITEM_METADATA Schema: Attributes: - AttributeName: item_id AttributeType: string - AttributeName: category AttributeType: string - AttributeName: brand AttributeType: string Predictor: AlgorithmArn: arn:aws:forecast:::algorithm/Prophet MaxAge: 604800 # one week ForecastHorizon: 30 FeaturizationConfig: ForecastFrequency: D Featurizations: - AttributeName: price FeaturizationPipeline: - FeaturizationMethodName: filling FeaturizationMethodParameters: futurefill: median middlefill: median backfill: median Forecast: ForecastTypes: - "0.01" - "0.50" - "0.99"