Added the possibility to use linear effects only for a custom number of initial boosting steps. This can be used for example to increase interpretability by building models that place more weight on linear effects.
9.4.3
Fixed a minor bug that sometimes added unnecessary terms to the model.
9.4.2
Fixed a minor (and for practical purposes insignificant) inconsistency w.r.t. rounding errors.
9.4.1
Fixed a bug that caused less interaction terms than intended to be considered for model inclusion.
9.4.0
Reverted the default learning rate for APLRClassifier to 0.1. Updated the documentation.
9.3.1
Introduced bugs in this version and yanked it as a consequence.