0.3.0 - (2022-03-14)
-
Breaking changes:
- The arguments
mtry
andseed
toDecisionTree
andRandomForest
have been renamed tomax_features
andrandom_state
, aligning them with their scikit-learn counterparts. - Supplying
n_jobs=None
will now result in no parallelization, aligning its behaviour with scikit-learn. To use all processes, usen_jobs=-1
.
- The arguments
-
New features:
- The
max_features
parameter for classesDecisionTree
andRandomForest
can now be supplied with a fraction, an integer,None
and"sqrt"
.
- The