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.