regr.featureless: Featureless regression learner.

Description

Description

A very basic baseline method which is useful for model comparisons (if you don't beat this, you very likely have a problem). Does not consider any features of the task and only uses the target feature of the training data to make predictions. Using observation weights is currently not supported.

Methods “mean” and “median” always predict a constant value for each new observation which corresponds to the observed mean or median of the target feature in training data, respectively.

The default method is “mean” which corresponds to the ZeroR algorithm from WEKA, see https://weka.wikispaces.com/ZeroR.


guillermozbta/mir documentation built on Jan. 3, 2018, 12:45 a.m.