"git@developer.sourcefind.cn:tianlh/lightgbm-dcu.git" did not exist on "224b8b98e38f41e8ef3c7287e6097d4afe0b816a"
- 06 Dec, 2021 1 commit
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James Lamb authored
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- 02 Dec, 2021 1 commit
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James Lamb authored
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- 01 Dec, 2021 1 commit
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James Lamb authored
* [python-package] fix mypy error about missing type hint in dask.py * list of lists * use different variable * use append()
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- 30 Nov, 2021 1 commit
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Nikita Titov authored
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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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- 08 Nov, 2021 1 commit
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James Lamb authored
* [docs] [dask] Add return information to Dask fit() docs (fixes #4402) * put return before note
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- 20 Sep, 2021 1 commit
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Nikita Titov authored
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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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- 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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- 29 Aug, 2021 1 commit
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Nikita Titov authored
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- 28 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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- 03 Aug, 2021 1 commit
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José Morales authored
* find all needed ports in each worker at once * lint * better naming * use _HostWorkers in test
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- 08 Jul, 2021 1 commit
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José Morales authored
* call predict on one row of data to determine output shape * make DaskLGBMRanker predict method equal to the others * remove extra drop_axis
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- 07 Jul, 2021 1 commit
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James Lamb authored
[dask] Make output of feature contribution predictions for sparse matrices match those from sklearn estimators (fixes #3881) (#4378) * test_classifier working * adding tests * docs * tests * revert unnecessary changes in tests * test output type * linting * linting * use from_delayed() instead * docstring pycodestyle is happy with * isort * put pytest skips back * respect sparse return type * fix doc * remove unnecessary dask_array_concatenate() * Apply suggestions from code review Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * Apply suggestions from code review Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * update predict_proba() docstring * remove unnecessary np.array() * Update python-package/lightgbm/dask.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * fix assertion * fix test use of len() * restore np.array() in tests * use np.asarray() instead * use toarray() * remove empty functions in compat Co-authored-by:
Nikita Titov <nekit94-08@mail.ru>
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- 05 Jul, 2021 1 commit
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Nikita Titov authored
* Update test_sklearn.py * Update test_basic.py * Update dask.py * Update basic.py * Update basic.py * Update basic.py * Update basic.py * Update callback.py
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- 28 Jun, 2021 2 commits
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James Lamb authored
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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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- 26 Jun, 2021 1 commit
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James Lamb authored
* [dask] pass predict() kwargs through when input is a Dask Array * add tests * Apply suggestions from code review Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * add prediction early stopping params Co-authored-by:
Nikita Titov <nekit94-08@mail.ru>
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- 15 Jun, 2021 1 commit
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Frank Fineis authored
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- 15 May, 2021 1 commit
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NovusEdge authored
* added f-string to dask.py * 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> * Updated branch * Updated file as per specifications * Removed warning as per specification * update other places * Apply suggestions from code review Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * revert unnecessary change * Apply suggestions from code review 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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- 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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- 21 Apr, 2021 1 commit
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Frank Fineis authored
* fix typo in dask _train as mentioned in 4101 * Update python-package/lightgbm/dask.py Co-authored-by:James Lamb <jaylamb20@gmail.com>
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- 01 Apr, 2021 1 commit
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jmoralez authored
* include voting_parallel tree_learner in test_regressor, test_classifier and test_ranker * remove test for warnings and test for error when using feature_parallel * use real names for tree_learner intest and include test for aliases. use the error message in the test for error in feature parallel * split all tests with rf in test_classifier * remove task parametrization for tree_learner aliases test. smaller input data from feature_parallel error * define task for tree_learner aliases
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- 31 Mar, 2021 1 commit
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James Lamb authored
* [dask] make random port search more resilient to random collisions * linting * more reliable ports check * address review comments * add error message
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- 30 Mar, 2021 1 commit
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Nikita Titov authored
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- 29 Mar, 2021 1 commit
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James Lamb authored
* [dask] run one training task on each worker * add comment on pure * missing ticks * empty commit
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- 27 Mar, 2021 1 commit
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jmoralez authored
* include test for prediction with raw_score * close client * initial comments * update data creation and include ranking task * linting * update _create_data * compare unique raw_predictions with values in leaves_df
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- 16 Mar, 2021 1 commit
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James Lamb authored
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- 10 Mar, 2021 1 commit
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James Lamb authored
* [dask] raise more informative error for duplicates in 'machines' * uncomment * avoid test failure * Revert "avoid test failure" This reverts commit 9442bdf00f193a19a923dc0deb46b7822cb6f601.
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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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- 24 Feb, 2021 2 commits
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jmoralez authored
* use socket.bind with port 0 and client.run to find random open ports * include test for found ports * find random open ports as default * parametrize local_listen_port. type hint to _find_random_open_port. fid open ports only on workers with data. * make indentation consistent and pass list of workers to client.run * remove socket import * change random port implementation * fix test
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Nikita Titov authored
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- 23 Feb, 2021 1 commit
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James Lamb authored
* [dask] allow tight control over ports * getting there, getting there * fix params maybe * fixing params * remove unnecessary stuff * fix tests * fixes * some minor changes * fix flaky test * linting * more linting * clarify parameter description * add warning * revert docs change * Update python-package/lightgbm/dask.py * Apply suggestions from code review Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * trying to fix stuff * this is working * update tests * Apply suggestions from code review Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * indent Co-authored-by:
Nikita Titov <nekit94-08@mail.ru>
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- 20 Feb, 2021 1 commit
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James Lamb authored
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- 16 Feb, 2021 1 commit
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Nikita Titov authored
* run isort in CI linting job * workaround conda compatibility issues
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- 15 Feb, 2021 2 commits
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Frank Fineis authored
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Zhuyi Xue authored
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