- 06 Jul, 2021 1 commit
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James Lamb authored
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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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- 04 Jul, 2021 3 commits
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Nikita Titov authored
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James Lamb authored
* [python-package] convert string concatenation to f-strings in test_engine.py (fixes #4136) * Update tests/python_package_test/test_engine.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * revert get_workflow_status changes Co-authored-by:
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Nikita Titov authored
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- 02 Jul, 2021 1 commit
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Chen Yufei authored
* [python-package] create Dataset from sampled data. * [python-package] create Dataset from List[Sequence]. 1. Use random access for data sampling 2. Support read data from multiple input files 3. Read data in batch so no need to hold all data in memory * [python-package] example: create Dataset from multiple HDF5 file. * fix: revert is_class implementation for seq * fix: unwanted memory view reference for seq * fix: seq is_class accepts sklearn matrices * fix: requirements for example * fix: pycode * feat: print static code linting stage * fix: linting: avoid shell str regex conversion * code style: doc style * code style: isort * fix ci dependency: h5py on windows * [py] remove rm files in test seq https://github.com/microsoft/LightGBM/pull/4089#discussion_r612929623 * docs(python): init_from_sample summary https://github.com/microsoft/LightGBM/pull/4089#discussion_r612903389 * remove dataset dump sample data debugging code. * remove typo fix. Create separate PR for this. * fix typo in src/c_api.cpp Co-authored-by:
James Lamb <jaylamb20@gmail.com> * style(linting): py3 type hint for seq * test(basic): os.path style path handling * Revert "feat: print static code linting stage" This reverts commit 10bd79f7f8258bea8e61c3abb8c9c7e4456a916d. * feat(python): sequence on validation set * minor(python): comment * minor(python): test option hint * style(python): fix code linting * style(python): add pydoc for ref_dataset * doc(python): sequence Co-authored-by:
shiyu1994 <shiyu_k1994@qq.com> * revert(python): sequence class abc * chore(python): remove rm_files * Remove useless static_assert. * refactor: test_basic test for sequence. * fix lint complaint. * remove dataset._dump_text in sequence test. * Fix reverting typo fix. * Apply suggestions from code review Co-authored-by:
Willian Zhang <willian@willian.email> Co-authored-by:
Willian Z <Willian@Willian-Zhang.com> Co-authored-by:
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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:
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- 27 Jun, 2021 2 commits
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Nikita Titov authored
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James Lamb authored
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- 26 Jun, 2021 2 commits
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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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Nikita Titov authored
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- 15 Jun, 2021 1 commit
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Nikita Titov authored
* replace pytest.parametrize * add informative message for assert
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- 12 Jun, 2021 1 commit
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Nikita Titov authored
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- 09 Jun, 2021 2 commits
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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: -
Weston King-Leatham authored
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- 07 Jun, 2021 1 commit
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sayantan sadhu authored
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- 03 Jun, 2021 1 commit
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Belinda Trotta authored
* Add linear leaf models to json output * Add closing bracket * Move test into test_engine.py and add asserts * Update tests/python_package_test/test_engine.py Co-authored-by:
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- 21 May, 2021 3 commits
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sayantan sadhu authored
[python] improving the syntax of the fstring in the file : tests/python_package_test/test_basic.py (#4312)
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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: -
Nikita Titov authored
* handle arbitrary length feature names in Python-package * added tests
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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:
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- 28 Apr, 2021 1 commit
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James Lamb authored
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- 11 Apr, 2021 1 commit
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Christoph Aymanns authored
* add test for interaction constraints and monotone constraints * enforce interaction constraints in RecomputeBestSplitForLeaf * code formatting * code formatting * move interaction constraint test to test_engine * Apply suggestions from code review 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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Nikita Titov authored
* Update test_engine.py * Update python_package.yml * Update python_package.yml * Update test_engine.py * hotfix
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