BetaML v0.12 is out
Release notes:
- Added
FeatureRanker, a flexible feature ranking estimator using multiple feature importance metrics - new functions
kl_divergenceandsobol_index - added option to RF/DT models to ignore specific variables in prediction, by following both the splits on nodes occurring on that dimensions, as the keyword
ignore_dimsto thepredictfunction - added option
sampling_sharetoRandomForestEstimatormodel - DOC: added Benchmarks (but then temporarily removed due to the issue of SystemBenchmark not installable, see this issue )
- DOC: added
FeatureRankertutorial - bugfix on
l2loss_by_cvfor unsupervised models
A specific announcement for FeatureRanker is posted here.