Update dependency lightgbm to v4 #128
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This PR contains the following updates:
==3.3.5->==4.3.0Release Notes
microsoft/LightGBM (lightgbm)
v4.3.0Compare Source
Changes
💡 New Features
🔨 Breaking
🚀 Efficiency Improvement
🐛 Bug Fixes
📖 Documentation
🧰 Maintenance
v4.2.0Compare Source
✨ v4.2.0 of the R package is now available on CRAN (link), the first major release of the R package in 2+ years.
✨ The Python package now accepts Apache Arrow Tables and Arrays (thanks @borchero!)
🔧 A critical bug in quantized training support is fixed
Changes
💡 New Features
random_state@david-cortes (#6174)🔨 Breaking
🚀 Efficiency Improvement
🐛 Bug Fixes
parallelregion @jameslamb (#6135)LGBMClassifier.fit@david-cortes (#6002)📖 Documentation
🧰 Maintenance
cat()instead ofprint()for metrics and callbacks @david-cortes (#6171)mambainstead ofcondain macOS and Linux CI jobs @borchero (#6140)v4.1.0Compare Source
Changes
💡 New Features
🐛 Bug Fixes
lgb.Datasetinstance tolightgbm()@david-cortes (#6005)📖 Documentation
🧰 Maintenance
v4.0.0Compare Source
Changes
This release contains all previously-unreleased changes since
v3.3.1over 1.5 years ago (link).Summary of improvements:
scikit-build-core(link) as its build backendmanylinux_2_28Linux wheels now support GPU (OpenCL-based, not CUDA) build automatically... justpip install lightgbmthen pass{"device": "gpu"}in params (thanks @jgiannuzzi!)py.typedso any code using LightGBM can benefitpandasnullable typeslgb.early_stopping(..., min_delta=n)) for how much eval metrics must improve to be considered "improved" for early stoppingscikit-learnis no longer a required dependencyray, Dask) (thanks @Yard1!)dgCMatrixanddsparseMatrix(thanks @david-cortes!)saveRDS()andreadRDS()forBooster,print()andsummary()methods forDataset(thanks @david-cortes!)Summary of breaking changes:
from lightgbm import *setup.py,pip install --install-optionsupportpip install --install-option(to work with newerpip, see https://github.com/pypa/pip/issues/11358)MSBUild.exe... that now requires compilinglib_lightgbm.dllseparately and then building a wheel that bundles it...lgb.unloader()predict(newdata, type = ...)inpredict(), for consistency with base R and most other machine learning projects💡 New Features
plot_treeandcreate_tree_digraph(fixes #4784) @jmoralez (#5119)predict@david-cortes (#4977)reset_parametercallback pickleable @StrikerRUS (#5109)record_evaluationcallback pickleable @StrikerRUS (#5107)log_evaluationcallback pickleable @StrikerRUS (#5101)weight->weights@david-cortes (#4975)early_stoppingcallback pickleable @Yard1 (#5012)lightgbm()@david-cortes (#4976)init()andset_params()methods @StrikerRUS (#4822)print()andsummary()methods for Booster @david-cortes (#4686)n_estimators_andn_iter_post-fit attributes @StrikerRUS (#4753)🔨 Breaking
setup.py) (fixes #5061) @jameslamb (#5759)typeargument to control prediction types @david-cortes (#5133)n_jobsand change default to number of cores @david-cortes (#5105)reshapeargument inpredict@david-cortes (#4971)lightgbm()and change default to number of cores @david-cortes (#4972)data->newdatainpredict@david-cortes (#4973)windows-2019image instead ofvs2017-win2016@StrikerRUS (#5059)early_stopping_roundsargument oftrain()andcv()functions @StrikerRUS (#4908)evals_resultargument oftrain()function @StrikerRUS (#4882)Noneforevals_result_@StrikerRUS (#4884)verbose_evalargument oftrain()andcv()functions @StrikerRUS (#4878)verboseargument ofmodel_from_string()method of Booster class @StrikerRUS (#4877)early_stopping_roundsargument offit()method @StrikerRUS (#4846)slice()@jameslamb (#4872)lgb.Dataset()@jameslamb (#4874)dim.lgb.Dataset()@jameslamb (#4873)create_valid()@jameslamb (#4865)best_iterationfor sklearn and standard APIs @StrikerRUS (#4845)verboseargument fromfit()method @StrikerRUS (#4832)learning_ratesargument oftrain()function @StrikerRUS (#4831)ylabelargument ofplot_metric()function @StrikerRUS (#4818)print_evaluation()function @StrikerRUS (#4819)silentargument @StrikerRUS (#4800)🚀 Efficiency Improvement
🐛 Bug Fixes
Configuration
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♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
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