bonsai 0.3.0
-
Introduced support for accelerated oblique random forests for the
"classification"and"regression"modes using the new"aorsf"engine (#78 by@bcjaeger). -
Enabled passing Dataset Parameters to the
"lightgbm"engine. To pass an argument that would be usually passed as an element to theparamargument inlightgbm::lgb.Dataset(), pass the argument directly through the ellipses inset_engine(), e.g.boost_tree() %>% set_engine("lightgbm", linear_tree = TRUE)(#77). -
Enabled case weights with the
"lightgbm"engine (#72 by@p-schaefer). -
Fixed issues in metadata for the
"partykit"engine forrand_forest()where some engine arguments were mistakenly protected (#74). -
Addressed type check error when fitting lightgbm model specifications with arguments mistakenly left as
tune()(#79).