BetaML v0.12 is out
Release notes:
- Added
FeatureRanker
, a flexible feature ranking estimator using multiple feature importance metrics - new functions
kl_divergence
andsobol_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_dims
to thepredict
function - added option
sampling_share
toRandomForestEstimator
model - DOC: added Benchmarks (but then temporarily removed due to the issue of SystemBenchmark not installable, see this issue )
- DOC: added
FeatureRanker
tutorial - bugfix on
l2loss_by_cv
for unsupervised models
A specific announcement for FeatureRanker
is posted here.