Forecast
  • 13 Jan 2023
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Forecast

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Article summary

Description

The Forecast node applies a forecast model to a data set.


Configuration Options

Basic Configuration Options

SettingDescription\Parameters
Split ColumnsThe selected columns split the data set over to build additional models.
Target ColumnThe column we are predicting.
Sort By ColumnsSort data rows by these columns.
Outliers ColumnColumn to set an outlier (0/1).
PredictorsThe columns we are using to predict.

Advanced Configuration Options

Model Options

SettingDescription
Model TypeThe model type.

Options
  • Auto
  • Seasonal Causal
Consider Linear Seasonality
Periodicity
Force Non-Negative Forecasts
Prune Weak Predictors
Include Linear TermMust be included if no predictors are specified.
Standardize PredictorsStandardize predictors between 1 and 0.
Auto-lag Predictors
Fill Target Zeroes With

Advanced Options

SettingDescription
Automatically Detect/Exclude Outliers
Minimum MAPE Improvement for Outlier
Seasonality Extraction BandwidthBandwidth is the fraction of all data points for calculating the localized regression used in smoothing (LOESS). Smaller numbers = less smoothing.
Trend Smoothing BandwidthBandwidth is the fraction of all data points for calculating the localized regression used in smoothing (LOESS). Smaller numbers = less smoothing.

Actions

ActionDescription
PreviewOnce the node is configured, the combined result set can be previewed at any time.

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