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
| Setting |
Description\Parameters |
Split Columns |
The selected column(s) will be used to split the data set over to build additional models. |
Target Column |
The column we are predicting. |
Sort By Columns |
Sort data rows by these columns. |
Time Granularity |
Length 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 |
Role Column |
Splits the data set into scoring and training data. |
Training Value |
Value in the Role Column for training data. |
Scoring Value |
Value is the Role Column for scoring data. |
Predictors |
The columns we are using to predict. |
Forecast Horizon |
Number of periods to forecast forward from the end of the input data set. |
Model Column |
The 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 Column |
Optional column to seed time values for future forecast periods. |
Timeout |
The specified timeout for the action. If this time is exceeded, the node action will fail, regardless of success of the action. |
Model Column
| Model |
Allowed Model Column Value |
Alternate Model Column Value |
Mean |
MEAN |
FORECAST_MEAN |
ARIMA |
ARIMA |
FORECAST_ARIMA |
Exponential Smoothing State Space |
ETS |
FORECAST_ETS |
Theta |
THETA |
FORECAST_THETA |
Linear Regression |
LINREG |
FORECAST_LINREG |
Prophet |
PROPHET |
FORECAST_PROPHET |
Seasonal Decomposition |
STLF |
FORECAST_STLF |
Croston's |
CROSTON |
FORECAST_CROSTON |
Improved Croston's |
IMPROVED_CROSTON |
FORECAST_IMPROVED_CROSTON |
Neural Network |
NNET |
FORECAST_NNET |
Good Signal Ensemble |
GOOD_SIG_ENS |
FORECAST_GOOD_SIG_ENS |
Poor Signal Ensemble |
POOR_SIG_ENS |
FORECAST_POOR_SIG_ENS |
Intermittent Data Ensemble |
INTER_DATA_ENS |
FORECAST_INTER_DATA_ENS |
Actions
| Action |
Description |
Preview |
After building any forecast models, the combined result set can be previewed by clicking the Preview button. |
Rebuild Model |
Rebuild any selected models. Produces an .Rdata file that's used to forecast values. |