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 theparam
argument 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).