- 04 Dec, 2021 1 commit
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James Lamb authored
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- 02 Dec, 2021 2 commits
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James Lamb authored
* [python-package] fix mypy errors in sklearn.py * use ignore comments
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Nikita Titov authored
* in predict(), respect params set via `set_params()` after fit() * continue * add test * fix return name * hotfix * simplify
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- 30 Nov, 2021 1 commit
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Nikita Titov authored
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- 26 Nov, 2021 1 commit
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Nikita Titov authored
* Update sklearn.py * Update engine.py * Update sklearn.py * Update engine.py * Update basic.py * Update engine.py
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- 20 Nov, 2021 1 commit
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Nikita Titov authored
* Update test_plotting.py * Update dask.py * Update sklearn.py * Update test_sklearn.py * Update basic.py * Update engine.py * Update test_engine.py * Update basic.py * Update basic.py * Update engine.py
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- 15 Nov, 2021 1 commit
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James Lamb authored
* [python] add type hints for custom objective and metric functions in scikit-learn interface * update type hints * remote unnecessary input * Update python-package/lightgbm/sklearn.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * remove type hint on objective being callable Co-authored-by:
Nikita Titov <nekit94-08@mail.ru>
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- 10 Nov, 2021 1 commit
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Nikita Titov authored
* respect objective aliases * Update test_sklearn.py * revert removal of blank lines * add argument name which is being overwritten in warning message
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- 08 Nov, 2021 1 commit
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James Lamb authored
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- 05 Nov, 2021 1 commit
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Nikita Titov authored
* add n_estimators_ and n_iter_ post-fit attributes * address review comments
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- 30 Oct, 2021 1 commit
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Nikita Titov authored
* in predict(), respect params set via `set_params()` after fit() * extract docs changes
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- 27 Oct, 2021 1 commit
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Nikita Titov authored
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- 09 Oct, 2021 1 commit
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Nikita Titov authored
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- 05 Oct, 2021 1 commit
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Nikita Titov authored
[python][sklearn] add `__sklearn_is_fitted__()` method to be better compatible with scikit-learn API (#4636)
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- 17 Sep, 2021 1 commit
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José Morales authored
[python-package] Support 2d collections as input for `init_score` in multiclass classification task (#4150) * initial implementation of init_score for multiclass classification * check for 1d or 2d collection in init_score * remove dataset import * initial comments * update dask test and docstrings * update docstrings * move logic to set_field. reshape back on get_field * add type hints and update docstrings for dask. fix Dataset.set_field * revert wrong docstrings and type hints * add extra comma for consistency * prefix private functions with underscore add type hints to new functions make commas consistent in dask and basic * add missing spaces after type hint * remove shape condition for dataframe in is_2d_collection Co-authored-by:Nikita Titov <nekit94-12@hotmail.com>
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- 15 Sep, 2021 1 commit
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Nikita Titov authored
* Update __init__.py * Update Python-API.rst * Update engine.py * Update test_utilities.py * Update sklearn.py * Update callback.py * Update callback.py * Update callback.py
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- 12 Sep, 2021 1 commit
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Nikita Titov authored
* deprecate advanced args of `train()` and `cv()` * update Dask test * improve deducing * address review comments
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- 10 Sep, 2021 1 commit
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Nikita Titov authored
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- 04 Sep, 2021 1 commit
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Nikita Titov authored
* deprecate `silent` and standalone `verbose` args. Prefer global `verbose` param * simplify code * Rephrase warning messages
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- 30 Aug, 2021 1 commit
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Nikita Titov authored
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- 27 Aug, 2021 1 commit
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Nikita Titov authored
* Reffer to string type as `str` and and commas in `list of ...` types * update `libpath.py` too
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- 07 Jul, 2021 1 commit
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Nikita Titov authored
* allow to pass some params as pathlib.Path objects * fix lint * improve indentation
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- 01 Jul, 2021 1 commit
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Sean Takafuji authored
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- 28 Jun, 2021 1 commit
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Frank Fineis authored
* es WiP, need to add eval_sample_weight and eval_group * add weight, group to dask es. WiP. * dask es reorg * Update python-package/lightgbm/dask.py _train_part model.fit args to lines Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update tests/python_package_test/test_dask.py _train_part model.fit args to lines, pt2 Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update python-package/lightgbm/dask.py _train_part model.fit args to lines pt3 Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update tests/python_package_test/test_dask.py dask_model.fit args to lines Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update tests/python_package_test/test_dask.py Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update python-package/lightgbm/dask.py use is instead of id() Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update python-package/lightgbm/dask.py Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update python-package/lightgbm/dask.py Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update python-package/lightgbm/dask.py Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update tests/python_package_test/test_dask.py Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update tests/python_package_test/test_dask.py Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update python-package/lightgbm/dask.py Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update python-package/lightgbm/dask.py Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update python-package/lightgbm/dask.py Co-authored-by:
James Lamb <jaylamb20@gmail.com> * applying changes to eval_set PR WiP * dask support for eval_names, eval_metric, eval_stopping_rounds * add evals_result checks and other eval_set attribute-related test checks. need to merge master - WiP * fix lint errors in test_dask.py * drop group_shape from _lgbmmodel_doc_fit.format for non-rankers, add support for eval_at for dask ranker * add eval_at to test_dask eval_set ranker tests * add back group_shape to lgbmmmodel docs, tighten tests * drop random eval weights from early stopping, probably causing training to terminate too early * add eval data templates to sklearn fit docs, add eval data docs to dask * add n_features to _create_data, eval_set tests stop w/ desirable tree counts * import alphabetically * add back get_worker for eval_set error handling * test_dask argmin typo * push forgotten eval_names bugfix * eval_stopping_rounds -> early_stopping_rounds, fix failing non-es test * change default eval_at to tuple 1-5 * re-drop get_worker * drop early stopping support from eval_set commits, move eval_set worker check prior to client.submit * add eval_class_weight and eval_init_score to lightgbm/dask, WiP * clean up eval_set tests, allow user to specify fewer eval_names, clswghts than eval_sets * remove redundant backslash * lint fixes * fix eval_at, eval_metric duplication, let eval_at be Iterable not just Tuple * use all data_outputs for test_eval_set tests * undo newlines from first pr * add custom_eval_metric test, correct issue with eval_at and metric names * move _constant_metric outside of test * dataset reference names instead of __strings__ * add padding to eval_set parts makes each part has same len(eval_set) * eval set code clean up * revert n_evals to be max len eval_set across all parts on worker * pylint errors in _DatasetNames * more pylint fixes * pylinting... * add by pytest.mark, mistakenly deleted during merge conflict resolution * address code review comments * add _pad_eval_names to handle nondeterministic evals_result_ valid set names * change not evaluated evals_result_ test criteria * address fit eval docs issues, switch _DatasetNames to Enum * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * update eval_metrics, eval_at dask fit docstr to match sklearn, make tests reflect that l2 (rmse), logloss in evals_result_ by default * address eval_set dict keys naming in docstr and training eval_set naming issue * in test_dask check for obj-default metric names in eval_results, remove check for training key * lint fixes for _pad_eval_names * remove unnecessary breaklinen in _pad_eval_names docstr * use Enum.member syntax not Enum.member.name * remove str from supported eval_at types * add whitespace and remove DaskDataframes mention from eval_ param docstrs in _train * remove "of shape = [n_samples]" from group_shape docs * add eval_at base_doc in DaskLGBMRanker.fit * remove excess paren from eval_names docs in _train * make requested changes to test_dask.py * remove Optional() wrapper on eval_at * add _lgbmmodel_doc_custom_eval_note to dask.py fit.__doc__ * fix ordering of .sklearn imports to attempt lint fix * dask custom eval note to f-string pt1 Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * dask custom eval note to f-string pt 2 Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * dask custom eval note to f-string pt 3 Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> Co-authored-by:
James Lamb <jaylamb20@gmail.com> Co-authored-by:
Nikita Titov <nekit94-08@mail.ru>
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- 21 May, 2021 1 commit
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Nikita Titov authored
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- 20 May, 2021 1 commit
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Nikita Titov authored
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- 04 May, 2021 1 commit
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Andrew Ziem authored
* Correct spelling Most changes were in comments, and there were a few changes to literals for log output. There were no changes to variable names, function names, IDs, or functionality. * Clarify a phrase in a comment Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Clarify a phrase in a comment Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Clarify a phrase in a comment Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Correct spelling Most are code comments, but one case is a literal in a logging message. There are a few grammar fixes too. Co-authored-by:
James Lamb <jaylamb20@gmail.com>
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- 02 May, 2021 1 commit
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Nikita Titov authored
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- 30 Apr, 2021 1 commit
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Nikita Titov authored
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- 26 Apr, 2021 1 commit
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Nikita Titov authored
* chanche MRO * fix MRO resolution
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- 19 Apr, 2021 1 commit
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Akshita Dixit authored
* Migrate to f-strings in python-package/lightgbm/sklearn.py * Apply suggestions from code review Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update python-package/lightgbm/sklearn.py Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Apply suggestions from code review Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Add suggestions from code review * resolve conflicts * Apply suggestions from code review Co-authored-by:
James Lamb <jaylamb20@gmail.com> * Update sklearn.py Co-authored-by:
James Lamb <jaylamb20@gmail.com> Co-authored-by:
Nikita Titov <nekit94-08@mail.ru>
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- 04 Mar, 2021 1 commit
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jmoralez authored
* include support for init_score * use dataframe from init_score and test difference with and without init_score in local model * revert refactoring * initial docs. test between distributed models with and without init_score * remove ranker from tests * test value for root node and change docs * comma * re-include parametrize * fix incorrect merge * use single init_score and the booster_ attribute * use np.float64 instead of float
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- 16 Feb, 2021 2 commits
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Nikita Titov authored
* run isort in CI linting job * workaround conda compatibility issues
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Zhuyi Xue authored
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- 15 Feb, 2021 1 commit
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Tara Jawahar authored
* minor mypy type errors fixed * fix some warnings from mypy * fix 3 mypy warnings * selectively ignored some mypy errors * minor mypy type errors fixed * minor mypy type errors fixed * minor mypy type errors fixed * added import * Update python-package/lightgbm/callback.py * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
James Lamb <jaylamb20@gmail.com> Co-authored-by:
James Lamb <jaylamb20@gmail.com>
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- 10 Feb, 2021 1 commit
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Nikita Titov authored
* Update dask.py * Update sklearn.py
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- 09 Feb, 2021 1 commit
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James Lamb authored
* got fit() working * add predict() * predict_proba() * remove custom objective docs * Apply suggestions from code review Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * fix capitalization * Update tests/python_package_test/test_dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> Co-authored-by:
Nikita Titov <nekit94-08@mail.ru>
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- 26 Jan, 2021 2 commits
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Nikita Titov authored
* Update sklearn.py * Update dask.py
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Nikita Titov authored
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- 25 Jan, 2021 1 commit
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Nikita Titov authored
* initial Dask docs * fix MRO * address review comments
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