Forecast Single Strategy
  • 06 Jan 2023
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Forecast Single Strategy

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Article summary

Description

The Forecast Single Strategy node is used to apply a single forecast model to a data set, per combo split.


Configuration Options

Basic Configuration Options

SettingDescription\Parameters
Split ColumnsThe selected column(s) will be used to split the data set over to build additional models.
Target ColumnThe column we are predicting.
Sort By ColumnsSort data rows by these columns.
Time GranularityLength of time between records in the input data set. I.e., if each input records represents a week of data, the time granularity is Week.

Options
  • Day
  • Week
  • Month
  • Quarter
  • Year
Role ColumnSplits the data set into scoring and training data.
Training ValueValue in the Role Column for training data.
Scoring ValueValue is the Role Column for scoring data.
PredictorsThe columns we are using to predict.
Forecast HorizonNumber of periods to forecast forward from the end of the input data set.
Model ColumnThe column that indicates which predictive model to apply to the combo. See Forecast Strategy for a description of each model. See below for valid inputs.
Time ColumnOptional column to seed time values for future forecast periods.
TimeoutThe specified timeout for the action. If this time is exceeded, the node action will fail, regardless of success of the action.

Model Column


ModelAllowed Model Column ValueAlternate Model Column Value
MeanMEANFORECAST_MEAN
ARIMAARIMAFORECAST_ARIMA
Exponential Smoothing State SpaceETSFORECAST_ETS
ThetaTHETAFORECAST_THETA
Linear RegressionLINREGFORECAST_LINREG
ProphetPROPHETFORECAST_PROPHET
Seasonal DecompositionSTLFFORECAST_STLF
Croston'sCROSTONFORECAST_CROSTON
Improved Croston'sIMPROVED_CROSTONFORECAST_IMPROVED_CROSTON
Neural NetworkNNETFORECAST_NNET
Good Signal EnsembleGOOD_SIG_ENSFORECAST_GOOD_SIG_ENS
Poor Signal EnsemblePOOR_SIG_ENSFORECAST_POOR_SIG_ENS
Intermittent Data EnsembleINTER_DATA_ENSFORECAST_INTER_DATA_ENS

Actions

ActionDescription
PreviewAfter building any forecast models, the combined result set can be previewed by clicking the Preview button.
Rebuild ModelRebuild any selected models. Produces an .Rdata file that's used to forecast values.

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