Time Series Auto-Prediction Training
Description:
This node selects a time series column, optionally a datetime column, and a lag. Then it trains a model (linear regression or neural network or whatever has a numerical output). The model can be changed (like in the cross-validation node).
Contained nodes:
Partitioning:Splits table into two partitions.Lag Column:
Copies column values from preceding rows into the current row.
Linear Regression Learner:Performs a multivariate linear regression.