1. 10 Apr, 2020 1 commit
    • Nikita Titov's avatar
      [python] Re-enable scikit-learn 0.22+ support (#2949) · c633c6c2
      Nikita Titov authored
      * Revert "specify the last supported version of scikit-learn (#2637)"
      
      This reverts commit d1002776.
      
      * ban scikit-learn 0.22.0 and skip broken test
      
      * fix updated test
      
      * fix lint test
      
      * Revert "fix lint test"
      
      This reverts commit 8b4db0805fe7a9e7f7eb0be3eac231f85026d196.
      c633c6c2
  2. 09 Apr, 2020 1 commit
    • CharlesAuguste's avatar
      Pr3 monotone constraints splits penalization (#2939) · 505a145f
      CharlesAuguste authored
      
      
      * Add the monotone penalty parameter to the config.
      
      * Pass tree in the necessary functions so it can be used in ComputeBestSplitForFeature.
      
      * Add monotone penalty.
      
      * Added link to the original report.
      
      * Add tests.
      
      * Fix GPU.
      
      * Revert "Pass tree in the necessary functions so it can be used in ComputeBestSplitForFeature."
      
      This reverts commit 37757e8e8f3a2c82a604f4af9a926da616660d2e.
      
      * Revert "Fix GPU."
      
      This reverts commit e49eeee41c883f3c97fd5cdbd53c9288094bffb6.
      
      * Added a shared pointer to the tree so the constraints can use it too.
      
      * Moved check on monotone penalty to config.cpp.
      
      * Python linting.
      
      * Use AssertTrue instead of assert_.
      
      * Fix penalization in test.
      
      * Make GPU deterministic in tests.
      
      * Rename tree to tree_ in monotone constraints.
      
      * Replaced epsilon by kEplison.
      
      * Typo.
      
      * Make tree pointer const.
      
      * Update src/treelearner/monotone_constraints.hpp
      Co-Authored-By: default avatarGuolin Ke <guolin.ke@outlook.com>
      
      * Update src/treelearner/monotone_constraints.hpp
      Co-Authored-By: default avatarGuolin Ke <guolin.ke@outlook.com>
      
      * Added alias for the penalty.
      
      * Remove useless comment.
      
      * Save CI time.
      
      * Refactor test_monotone_penalty_max.
      
      * Update include/LightGBM/config.h
      Co-Authored-By: default avatarNikita Titov <nekit94-08@mail.ru>
      
      * Fix doc to be in line with previous config change commit.
      Co-authored-by: default avatarCharles Auguste <auguste@dubquantdev801.ire.susq.com>
      Co-authored-by: default avatarGuolin Ke <guolin.ke@outlook.com>
      Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>
      505a145f
  3. 08 Apr, 2020 1 commit
  4. 07 Apr, 2020 2 commits
  5. 30 Mar, 2020 1 commit
  6. 23 Mar, 2020 1 commit
    • CharlesAuguste's avatar
      Improving monotone constraints ("Fast" method; linked to #2305, #2717) (#2770) · a8c1e0a1
      CharlesAuguste authored
      
      
      * Add util functions.
      
      * Added monotone_constraints_method as a parameter.
      
      * Add the intermediate constraining method.
      
      * Updated tests.
      
      * Minor fixes.
      
      * Typo.
      
      * Linting.
      
      * Ran the parameter generator for the doc.
      
      * Removed usage of the FeatureMonotone function.
      
      * more fixes
      
      * Fix.
      
      * Remove duplicated code.
      
      * Add debug checks.
      
      * Typo.
      
      * Bug fix.
      
      * Disable the use of intermediate monotone constraints and feature sampling at the same time.
      
      * Added an alias for monotone constraining method.
      
      * Use the right variable to get the number of threads.
      
      * Fix DEBUG checks.
      
      * Add back check to determine if histogram is splittable.
      
      * Added forgotten override keywords.
      
      * Perform monotone constraint update only when necessary.
      
      * Small refactor of FastLeafConstraints.
      
      * Post rebase commit.
      
      * Small refactor.
      
      * Typo.
      
      * Added comment and slightly improved logic of monotone constraints.
      
      * Forgot a const.
      
      * Vectors that are to be modified need to be pointers.
      
      * Rename FastLeafConstraints to IntermediateLeafConstraints to match documentation.
      
      * Remove overload of GoUpToFindLeavesToUpdate.
      
      * Stop memory leaking.
      
      * Fix cpplint issues.
      
      * Fix checks.
      
      * Fix more cpplint issues.
      
      * Refactor config monotone constraints method.
      
      * Typos.
      
      * Remove useless empty lines.
      
      * Add new line to separate includes.
      
      * Replace unsigned ind by size_t.
      
      * Reduce number of trials in tests to decrease CI time.
      
      * Specify monotone constraints better in tests.
      
      * Removed outer loop in test of monotone constraints.
      
      * Added categorical features to the monotone constraints tests.
      
      * Add blank line.
      
      * Regenerate parameters automatically.
      
      * Speed up ShouldKeepGoingLeftRight.
      Co-authored-by: default avatarCharles Auguste <auguste@dubquantdev801.ire.susq.com>
      Co-authored-by: default avatarguolinke <guolin.ke@outlook.com>
      a8c1e0a1
  7. 12 Mar, 2020 1 commit
  8. 08 Mar, 2020 1 commit
  9. 04 Mar, 2020 1 commit
  10. 03 Mar, 2020 1 commit
  11. 02 Mar, 2020 1 commit
  12. 01 Mar, 2020 1 commit
  13. 27 Feb, 2020 1 commit
  14. 26 Feb, 2020 2 commits
  15. 24 Feb, 2020 1 commit
  16. 22 Feb, 2020 2 commits
  17. 20 Feb, 2020 2 commits
  18. 19 Feb, 2020 1 commit
    • Guolin Ke's avatar
      [python] [R-package] refine the parameters for Dataset (#2594) · 9f79e840
      Guolin Ke authored
      
      
      * reset
      
      * fix a bug
      
      * fix test
      
      * Update c_api.h
      
      * support to no filter features by min_data
      
      * add warning in reset config
      
      * refine warnings for override dataset's parameter
      
      * some cleans
      
      * clean code
      
      * clean code
      
      * refine C API function doxygen comments
      
      * refined new param description
      
      * refined doxygen comments for R API function
      
      * removed stuff related to int8
      
      * break long line in warning message
      
      * removed tests which results cannot be validated anymore
      
      * added test for warnings about unchangeable params
      
      * write parameter from dataset to booster
      
      * consider free_raw_data.
      
      * fix params
      
      * fix bug
      
      * implementing R
      
      * fix typo
      
      * filter params in R
      
      * fix R
      
      * not min_data
      
      * refined tests
      
      * fixed linting
      
      * refine
      
      * pilint
      
      * add docstring
      
      * fix docstring
      
      * R lint
      
      * updated description for C API function
      
      * use param aliases in Python
      
      * fixed typo
      
      * fixed typo
      
      * added more params to test
      
      * removed debug print
      
      * fix dataset construct place
      
      * fix merge bug
      
      * Update feature_histogram.hpp
      
      * add is_sparse back
      
      * remove unused parameters
      
      * fix lint
      
      * add data random seed
      
      * update
      
      * [R-package] centrallized Dataset parameter aliases and added tests on Dataset parameter updating (#2767)
      Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>
      Co-authored-by: default avatarJames Lamb <jaylamb20@gmail.com>
      9f79e840
  19. 17 Feb, 2020 1 commit
  20. 13 Feb, 2020 1 commit
  21. 08 Feb, 2020 2 commits
  22. 03 Feb, 2020 2 commits
  23. 02 Feb, 2020 1 commit
    • Guolin Ke's avatar
      Support both row-wise and col-wise multi-threading (#2699) · 509c2e50
      Guolin Ke authored
      
      
      * commit
      
      * fix a bug
      
      * fix bug
      
      * reset to track changes
      
      * refine the auto choose logic
      
      * sort the time stats output
      
      * fix include
      
      * change  multi_val_bin_sparse_threshold
      
      * add cmake
      
      * add _mm_malloc and _mm_free for cross platform
      
      * fix cmake bug
      
      * timer for split
      
      * try to fix cmake
      
      * fix tests
      
      * refactor DataPartition::Split
      
      * fix test
      
      * typo
      
      * formating
      
      * Revert "formating"
      
      This reverts commit 5b8de4f7fb9d975ee23701d276a66d40ee6d4222.
      
      * add document
      
      * [R-package] Added tests on use of force_col_wise and force_row_wise in training (#2719)
      
      * naming
      
      * fix gpu code
      
      * Update include/LightGBM/bin.h
      Co-Authored-By: default avatarJames Lamb <jaylamb20@gmail.com>
      
      * Update src/treelearner/ocl/histogram16.cl
      
      * test: swap compilers for CI
      
      * fix omp
      
      * not avx2
      
      * no aligned for feature histogram
      
      * Revert "refactor DataPartition::Split"
      
      This reverts commit 256e6d9641ade966a1f54da1752e998a1149b6f8.
      
      * slightly refactor data partition
      
      * reduce the memory cost
      Co-authored-by: default avatarJames Lamb <jaylamb20@gmail.com>
      Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>
      509c2e50
  24. 01 Feb, 2020 1 commit
  25. 30 Jan, 2020 1 commit
    • sbruch's avatar
      Implementation of XE_NDCG_MART for the ranking task (#2620) · 86530988
      sbruch authored
      * Implementation of XE_NDCG loss function for ranking.
      
      * Add citation
      
      * Check in example usage for xe_ndcg loss.
      
      * Seed the generator when a seed is provided in the config. Add unit-tests for xe_ndcg
      
      * Update documentation
      
      * Fix indentation
      
      * Address issues raised by reviewers.
      
      * Clean up include statements.
      
      * Fix issues raised by reviewers.
      
      * Regenerate parameters.rst
      
      * Add a note to explain that reproducing xe_ndcg results requires num_threads to be one.
      
      * Introduce objective_seed and use that in rank_xendcg instead of directly using seed
      
      * Change default value of objective_seed
      86530988
  26. 12 Jan, 2020 1 commit
  27. 07 Jan, 2020 1 commit
  28. 29 Dec, 2019 1 commit
  29. 24 Dec, 2019 1 commit
  30. 19 Dec, 2019 1 commit
  31. 13 Dec, 2019 1 commit
  32. 12 Dec, 2019 1 commit
    • Belinda Trotta's avatar
      auc-mu metric (#2567) · 222775ca
      Belinda Trotta authored
      * Fix bug where small values of max_bin cause crash.
      
      * Revert "Fix bug where small values of max_bin cause crash."
      
      This reverts commit fe5c8e2547057c1fa5750bcddd359dd7708fab4b.
      
      * Add auc-mu multiclass metric.
      
      * Fix bug where scores are equal.
      
      * Merge.
      
      * Change name to auc_mu everywhere (instead of auc-mu).
      
      * Fix comparison between signed and unsigned int.
      
      * Change name to AUC-mu in docs and output messages.
      
      * Improve test.
      
      * Use prefix increment.
      
      * Update R package.
      
      * Fix style issues.
      
      * Tidy up test code.
      
      * Read all lines first then process.
      
      * Allow passing AUC-mu weights directly as a list in parameters.
      
      * Remove unused code, improve example and docs.
      222775ca
  33. 11 Dec, 2019 1 commit
  34. 10 Dec, 2019 1 commit