Linear regression wrapper for hueristica
A wrapper to create a lm model just specifying columns, generating a model formula for you. This makes it easier to run automated comparisons with other models in heuristica.
regInterceptModel(train_matrix, criterion_col, cols_to_fit)
A matrix (or data.frame) of data to train (fit) the model with.
The index of the criterion column– "y" in the formula.
A vector of column indexes to fit– the "x's" in the formula.
This version assumes you always want to include the intercept.
An object of class regInterceptModel, which is a subclass of lm.
regModel for a version that excludes the intercept.
predict.lm for prediction.
predictPairProb for predicting between a pair of rows.
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