- 30 Nov, 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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- 09 Sep, 2021 2 commits
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José Morales authored
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James Lamb authored
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- 09 Aug, 2021 1 commit
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José Morales authored
* reduce number of collisions tests * measure tests execution time * measure tests execution time in bdist task * remove durations in bdist task
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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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- 10 Jul, 2021 1 commit
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Nikita Titov authored
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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:
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- 04 Jul, 2021 1 commit
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Nikita Titov 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:
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- 27 Jun, 2021 1 commit
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James Lamb authored
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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:
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- 12 Jun, 2021 1 commit
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Nikita Titov authored
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- 09 Jun, 2021 1 commit
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sayantan sadhu authored
[python] improving the syntax of the fstring in the file : tests/python_package_test/test_dask.py (#4358) * updated the old syntax with fstrings * Updated the strings with + catenation to fstrings * Updated the strings with + catenation to fstrings * Update tests/python_package_test/test_dask.py Co-authored-by:
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- 21 May, 2021 1 commit
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Nikita Titov authored
* run Dask tests on aarch64 architecture * make random Dask test to fail * Revert "make random Dask test to fail" This reverts commit c43c98507f818994bb08b4f7d289ecad3b3449eb. * empty commit * empty commit * empty commit * empty commit Co-authored-by:
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- 05 Apr, 2021 1 commit
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jmoralez authored
* replace client fixture with cluster fixture * wait on persist before rebalance
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- 01 Apr, 2021 2 commits
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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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jmoralez authored
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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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jmoralez authored
* test all boosting types * lint * bring scores comparison back and set y as second argument in assert_eq
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- 27 Mar, 2021 2 commits
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Nikita Titov authored
* Update test_dask.py * Update test_dask.py
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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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- 26 Mar, 2021 1 commit
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jmoralez authored
* make one categorical variable informative. increase n_samples. reduce n_features for regression * adjust tolerances in checks
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- 16 Mar, 2021 1 commit
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Nikita Titov authored
* simplify Dask tests code * enable CI * disable CI
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- 15 Mar, 2021 1 commit
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James Lamb authored
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- 10 Mar, 2021 2 commits
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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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jmoralez authored
* include multiclass-classification task and task_to_model_factory dicts * define centers coordinates. flatten init_scores within each partition for multiclass-classification * include issue comment and fix linting error
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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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- 02 Mar, 2021 1 commit
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James Lamb authored
* [dask] [ci] add support for scikit-learn 0.24+ in tests (fixes #4031) * Update tests/python_package_test/test_dask.py Co-authored-by:
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- 24 Feb, 2021 3 commits
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Nikita Titov authored
* simplify fit calls in Dask tests * Update .vsts-ci.yml * Update .vsts-ci.yml
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jmoralez authored
* include support for column array as label * remove nested ifs * fix linting errors * include tests for sklearn regressors * include docstring for numpy_1d_array_to_dtype * include . at end of docstring * remove pandas import and test for regression, classification and ranking * check predictions of sklearn models as well * test training only in dask. drop pandas series tests * use PANDAS_INSTALLED and pd_Series * inline imports * use col array in fit for test_dask * include review comments
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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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- 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:
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- 18 Feb, 2021 2 commits
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imjwang authored
* add test_dask.py * Update tests/python_package_test/test_dask.py Co-authored-by:
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James Lamb authored
* [dask] make find-open-port test more reliable * use listen_port fixture * Apply suggestions from code review
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- 16 Feb, 2021 2 commits
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Nikita Titov authored
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Nikita Titov authored
* Update setup.sh * Update test.sh * Update test_dask.py * Update test_engine.py * Update .vsts-ci.yml
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- 15 Feb, 2021 1 commit
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Zhuyi Xue authored
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- 09 Feb, 2021 2 commits
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James Lamb authored
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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:
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