Default: DatasetGroup: Domain: CUSTOM Datasets: - Domain: CUSTOM DatasetType: TARGET_TIME_SERIES DataFrequency: D TimestampFormat: yyyy-MM-dd Schema: Attributes: - AttributeName: timestamp AttributeType: timestamp - AttributeName: item_id AttributeType: string - AttributeName: geolocation AttributeType: geolocation - AttributeName: target_value AttributeType: float Predictor: AlgorithmArn: arn:aws:forecast:::algorithm/Prophet PerformHPO: False MaxAge: 604800 # one week ForecastHorizon: 30 FeaturizationConfig: ForecastFrequency: D Forecast: ForecastTypes: - "0.10" - "0.50" - "0.90" nyctaxi_weather_auto: DatasetGroup: Domain: CUSTOM Datasets: - Domain: CUSTOM DatasetType: TARGET_TIME_SERIES DataFrequency: H TimestampFormat: yyyy-MM-dd HH:mm:ss GeolocationFormat: LAT_LONG # UseGeolocationForTimeZone: True TimeZone: "America/New_York" Schema: Attributes: - AttributeName: timestamp AttributeType: timestamp - AttributeName: item_id AttributeType: string - AttributeName: geolocation AttributeType: geolocation - AttributeName: target_value AttributeType: float - Domain: CUSTOM DatasetType: RELATED_TIME_SERIES DataFrequency: H TimestampFormat: yyyy-MM-dd HH:mm:ss Schema: Attributes: - AttributeName: timestamp AttributeType: timestamp - AttributeName: item_id AttributeType: string - AttributeName: geolocation AttributeType: geolocation - AttributeName: day_hour_name AttributeType: string - Domain: CUSTOM DatasetType: ITEM_METADATA Schema: Attributes: - AttributeName: item_id AttributeType: string - AttributeName: pickup_borough AttributeType: string - AttributeName: binned_max_item AttributeType: string Predictor: AlgorithmArn: arn:aws:forecast:::algorithm/Deep_AR_Plus # PerformAutoML: True # PerformHPO: True ForecastHorizon: 168 FeaturizationConfig: ForecastFrequency: H ForecastDimensions: - "geolocation" Featurizations: - AttributeName: target_value FeaturizationPipeline: - FeaturizationMethodName: filling FeaturizationMethodParameters: aggregation: sum frontfill: none middlefill: zero backfill: zero # - AttributeName: mean_item_weekday # FeaturizationPipeline: # - FeaturizationMethodName: filling # FeaturizationMethodParameters: # futurefill: median # middlefill: median # backfill: median InputDataConfig: SupplementaryFeatures: - Name: holiday Value: US - Name: weather Value: "true" TrainingParameters: context_length: "26" learning_rate: "0.008457495012747266" # use_item_metadata: ALL # use_related_data: ALL EvaluationParameters: NumberOfBacktestWindows: 3 BackTestWindowOffset: 168 ForecastTypes: - "0.10" - "0.50" - "0.90" Forecast: ForecastTypes: - "0.10" - "0.50" - "0.90"