Releases: 34j/boost-loss
Releases · 34j/boost-loss
v0.5.5
Fix
- deps: Update dependency lightgbm to v4.3.0 (#136) (
7e3f49a
)
v0.5.4
Fix
- deps: Update dependency attrs to v23.2.0 (#130) (
7620a33
)
v0.5.3
Fix
- deps: Update dependency lightgbm to v4.2.0 (#127) (
f090ad3
)
v0.5.2
Fix
- deps: Update dependency xgboost to v2.0.3 (#126) (
b4ddf21
)
v0.5.1
Fix
- deps: Update dependency xgboost to v2.0.2 (#111) (
9f52c01
)
v0.5.0
Feature
- sklearn: Add
copy_loss
, apply_objective
and apply_eval_metric
parameter to apply_custom_loss()
(#108) (e877604
)
v0.4.2
Fix
- sklearn: Fix
_recursively_set_random_state()
imcompatible with EstimatorWrapperBase
(#107) (ed13289
)
v0.4.1
Fix
- sklearn: Check if estimator has
get_params()
and set_params()
in apply_custom_loss()
(#106) (3b77017
)
v0.4.0
Feature
- Fix
recursive_strict
behavior for apply_custom_loss
and patch
, set default var_type
to "std"
, add more parameters to VarianceEstimator
(#105) (24e90ac
)
v0.3.6
Fix
- deps: Update dependency xgboost to v2.0.1 (#102) (
3c7040d
)