Skip to content

Releases: 34j/boost-loss

v0.5.5

26 Jan 06:50
Compare
Choose a tag to compare

Fix

  • deps: Update dependency lightgbm to v4.3.0 (#136) (7e3f49a)

v0.5.4

31 Dec 13:36
Compare
Choose a tag to compare

Fix

  • deps: Update dependency attrs to v23.2.0 (#130) (7620a33)

v0.5.3

22 Dec 11:17
Compare
Choose a tag to compare

Fix

  • deps: Update dependency lightgbm to v4.2.0 (#127) (f090ad3)

v0.5.2

20 Dec 03:54
Compare
Choose a tag to compare

Fix

  • deps: Update dependency xgboost to v2.0.3 (#126) (b4ddf21)

v0.5.1

13 Nov 04:50
Compare
Choose a tag to compare

Fix

  • deps: Update dependency xgboost to v2.0.2 (#111) (9f52c01)

v0.5.0

07 Nov 12:34
Compare
Choose a tag to compare

Feature

  • sklearn: Add copy_loss, apply_objective and apply_eval_metric parameter to apply_custom_loss() (#108) (e877604)

v0.4.2

05 Nov 14:24
Compare
Choose a tag to compare

Fix

  • sklearn: Fix _recursively_set_random_state() imcompatible with EstimatorWrapperBase (#107) (ed13289)

v0.4.1

05 Nov 14:18
Compare
Choose a tag to compare

Fix

  • sklearn: Check if estimator has get_params() and set_params() in apply_custom_loss() (#106) (3b77017)

v0.4.0

04 Nov 08:28
Compare
Choose a tag to compare

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

24 Oct 13:53
Compare
Choose a tag to compare

Fix

  • deps: Update dependency xgboost to v2.0.1 (#102) (3c7040d)