KTBoost 0.0.5

Implements several boosting algorithms in Python

KTBoost

This package implements several boosting algorithm. In particular, this includes tree and kernel boosting as well as the combined KTBoost algorithm. The package supports both gradient and Newton boosting updates as well as a hybrid version of the two for trees. Further, the package implements several loss functions which inlucdes the Tobit likelihood (i.e. the Grabit model). The package is an extenion of scikit-learn and re-uses code from scikit-learn.