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  1. 15 Nov, 2020 1 commit
  3. 10 Nov, 2020 1 commit
  5. 26 Oct, 2020 1 commit
    • Guolin Ke's avatar
      Fix add features (#2754) · 53977f36
      Guolin Ke authored 
      

* fix subset bug

* typo

* add fixme tag

* bin mapper

* fix test

* fix add_features_from

* Update dataset.cpp

* fix merge bug

* added Python merge code

* added test for add_features

* Update dataset.cpp

* Update src/io/dataset.cpp

* continue implementing

* warn users about categorical features
Co-authored-by: default avatarStrikerRUS <nekit94-12@hotmail.com>
Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>
      53977f36
  7. 30 Sep, 2020 2 commits
  9. 29 Sep, 2020 1 commit
  11. 21 Sep, 2020 1 commit
  13. 20 Sep, 2020 1 commit
    • Chip Kerchner's avatar
      [GPU] Add support for CUDA-based GPU build (#3160) · f7ad9457
      Chip Kerchner authored 
      

* Initial CUDA work

* Initial CUDA work

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* Initial CUDA work

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* Initial CUDA work

* Initial CUDA work

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* Initial CUDA work

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* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* Initial CUDA work

* redirect log to python console (#3090)

* redir log to python console

* fix pylint

* Apply suggestions from code review

* Update basic.py

* Apply suggestions from code review
Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>

* Update c_api.h

* Apply suggestions from code review

* Apply suggestions from code review

* super-minor: better wording
Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>
Co-authored-by: default avatarStrikerRUS <nekit94-12@hotmail.com>

* re-order includes (fixes #3132) (#3133)

* Revert "re-order includes (fixes #3132) (#3133)" (#3153)

This reverts commit 656d2676

.

* Missing change from previous rebase

* Minor cleanup and removal of development scripts.

* Only set gpu_use_dp on by default for CUDA. Other minor change.

* Fix python lint indentation problem.

* More python lint issues.

* Big lint cleanup - more to come.

* Another large lint cleanup - more to come.

* Even more lint cleanup.

* Minor cleanup so less differences in code.

* Revert is_use_subset changes

* Another rebase from master to fix recent conflicts.

* More lint.

* Simple code cleanup - add & remove blank lines, revert unneccessary format changes, remove added dead code.

* Removed parameters added for CUDA and various bug fix.

* Yet more lint and unneccessary changes.

* Revert another change.

* Removal of unneccessary code.

* temporary appveyor.yml for building and testing

* Remove return value in ReSize

* Removal of unused variables.

* Code cleanup from reviewers suggestions.

* Removal of FIXME comments and unused defines.

* More reviewers comments cleanup.

* More reviewers comments cleanup.

* More reviewers comments cleanup.

* Fix config variables.

* Attempt to fix check-docs failure

* Update Paramster.rst for num_gpu

* Removing test appveyor.yml

* Add ƒCUDA_RESOLVE_DEVICE_SYMBOLS to libraries to fix linking issue.

* Fixed handling of data elements less than 2K.

* More reviewers comments cleanup.

* Removal of TODO and fix printing of int64_t

* Add cuda change for CI testing and remove cuda from device_type in python.

* Missed one change form previous check-in

* Removal AdditionConfig and fix settings.

* Limit number of GPUs to one for now in CUDA.

* Update Parameters.rst for previous check-in

* Whitespace removal.

* Cleanup unused code.

* Changed uint/ushort/ulong to unsigned int/short/long to help Windows based CUDA compiler work.

* Lint change from previous check-in.

* Changes based on reviewers comments.

* More reviewer comment changes.

* Adding warning for is_sparse. Revert tmp_subset code. Only return FeatureGroupData if not is_multi_val_

* Fix so that CUDA code will compile even if you enable the SCORE_T_USE_DOUBLE define.

* Reviewer comment cleanup.

* Replace warning with Log message. Removal of some of the USE_CUDA. Fix typo and removal of pragma once.

* Remove PRINT debug for CUDA code.

* Allow to use of multiple GPUs for CUDA.

* More multi-GPUs enablement for CUDA.

* More code cleanup based on reviews comments.

* Update docs with latest config changes.
Co-authored-by: default avatarGordon Fossum <fossum@us.ibm.com>
Co-authored-by: default avatarChipKerchner <ckerchne@linux.vnet.ibm.com>
Co-authored-by: default avatarGuolin Ke <guolin.ke@outlook.com>
Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>
Co-authored-by: default avatarStrikerRUS <nekit94-12@hotmail.com>
Co-authored-by: default avatarJames Lamb <jaylamb20@gmail.com>
      f7ad9457
  15. 15 Sep, 2020 1 commit
  17. 11 Sep, 2020 2 commits
  19. 06 Sep, 2020 1 commit
  21. 02 Sep, 2020 2 commits
  23. 24 Aug, 2020 1 commit
  25. 11 Aug, 2020 2 commits
  27. 09 Aug, 2020 1 commit
  29. 06 Aug, 2020 2 commits
  31. 02 Aug, 2020 1 commit
  33. 15 Jul, 2020 1 commit
  35. 14 Jul, 2020 1 commit
  37. 07 Jul, 2020 1 commit
  39. 28 Jun, 2020 1 commit
    • Ilya Matiach's avatar
      adding sparse support to TreeSHAP in lightgbm (#3000) · 9f367d11
      Ilya Matiach authored 
      * adding sparse support to TreeSHAP in lightgbm

* updating based on comments

* updated based on comments, used fromiter instead of frombuffer

* updated based on comments

* fixed limits import order

* fix sparse feature contribs to work with more than int32 max rows

* really fixed int64 max error and build warnings

* added sparse test with >int32 max rows

* fixed python side reshape check on sparse data

* updated based on latest comments

* fixed comments

* added CSC INT32_MAX validation to test, fixed comments
      9f367d11
  41. 27 Jun, 2020 1 commit
    • Alex's avatar
      [python][scikit-learn] new stacking tests and make number of features a property (#3173) · 72849466
      Alex authored 
      * modify attribute and include stacking tests

* backwards compatibility

* check sklearn version

* move stacking import

* Number of input features (#3173)

* Number of input features (#3173)

* Number of input features (#3173)

* Number of input features (#3173)

Split number of features and stacking tests.

* Number of input features (#3173)

Modify test name.

* Number of input features (#3173)

Update stacking tests for review comments.

* Number of input features (#3173)

* Number of input features (#3173)

* Number of input features (#3173)

* Number of input features (#3173)

Modify classifier test.

* Number of input features (#3173)

* Number of input features (#3173)

Check score.
      72849466
  43. 23 Jun, 2020 1 commit
    • Belinda Trotta's avatar
      Interaction constraints (#3126) · bca2da97
      Belinda Trotta authored 
      * Add interaction constraints functionality.

* Minor fixes.

* Minor fixes.

* Change lambda to function.

* Fix gpu bug, remove extra blank lines.

* Fix gpu bug.

* Fix style issues.

* Try to fix segfault on MACOS.

* Fix bug.

* Fix bug.

* Fix bugs.

* Change parameter format for R.

* Fix R style issues.

* Change string formatting code.

* Change docs to say R package not supported.

* Remove R functionality, moving to separate PR.

* Keep track of branch features in tree object.

* Only track branch features when feature interactions are enabled.

* Fix lint error.

* Update docs and simplify tests.
      bca2da97
  45. 22 Jun, 2020 1 commit
  47. 11 Jun, 2020 1 commit
  49. 02 Jun, 2020 1 commit
  51. 20 May, 2020 1 commit
  53. 12 May, 2020 1 commit
  55. 09 May, 2020 1 commit
  57. 05 May, 2020 1 commit
  59. 13 Apr, 2020 1 commit
  61. 10 Apr, 2020 2 commits
  63. 20 Mar, 2020 2 commits
    • Alberto Ferreira's avatar
      Fix SWIG methods that return char** (#2850) · 91185c3a
      Alberto Ferreira authored 
      

* [swig] Fix SWIG methods that return char** with StringArray.

+ [new] Add StringArray class to manage and manipulate arrays of fixed-length strings:

  This class is now used to wrap any char** parameters, manage memory and
  manipulate the strings.

  Such class is defined at swig/StringArray.hpp and wrapped in StringArray.i.

+ [API+fix] Wrap LGBM_BoosterGetFeatureNames it resulted in segfault before:

  Added wrapper LGBM_BoosterGetFeatureNamesSWIG(BoosterHandle) that
  only receives the booster handle and figures how much memory to allocate
  for strings and returns a StringArray which can be easily converted to String[].

+ [API+safety] For consistency, LGBM_BoosterGetEvalNamesSWIG was wrapped as well:

  * Refactor to detect any kind of errors and removed all the parameters
    besides the BoosterHandle (much simpler API to use in Java).
  * No assumptions are made about the required string space necessary (128 before).
  * The amount of required string memory is computed internally

+ [safety] No possibility of undefined behaviour

  The two methods wrapped above now compute the necessary string storage space
  prior to allocation, as the low-level C API calls would crash the process
  irreversibly if they write more memory than which is passed to them.

* Changes to C API and wrappers support char**

To support the latest SWIG changes that enable proper char**
return support that is safe, the C API was changed.

The respecive wrappers in R and Python were changed too.

* Cleanup indentation in new lightgbm_R.cpp code

* Adress review code-style comments.

* Update swig/StringArray.hpp
Co-Authored-By: default avatarNikita Titov <nekit94-08@mail.ru>

* Update python-package/lightgbm/basic.py
Co-Authored-By: default avatarNikita Titov <nekit94-08@mail.ru>

* Update src/lightgbm_R.cpp
Co-Authored-By: default avatarNikita Titov <nekit94-08@mail.ru>
Co-authored-by: default avataralberto.ferreira <alberto.ferreira@feedzai.com>
Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>
      91185c3a
    • Lukas Pfannschmidt's avatar
      [python] handle RandomState object in Scikit-learn Api (#2904) · cf0a992e
      Lukas Pfannschmidt authored 
      

* Add handling of RandomState object, which is standard for sklearn methods.

LightGBM expects an integer seed instead of an object.
If passed object is RandomState, we choose random integer based on its state to seed the underlying low level code.
While chosen random integer is only in the range between 1 and 1e10 I expect it to have enough entropy (?) to not matter in practice.

* Add RandomState object to random_state docstring.

* remove blank line

* Use property to handle setting random_state.
This enables setting cloned estimators with the set_params method in sklearn.

* Add docstring to attribute.

* Fix and simplify docstring.

* Add test case.

* Use maximal int for datatype in seed derivation.

* Replace random_state property with interfacing in fit method.
Derives int seed for C code only when fitting and keeps RandomState object as param.

* Adapt unit test to property change.

* Extended test case and docstring
Co-Authored-By: default avatarNikita Titov <nekit94-08@mail.ru>

* Add more equality checks (feature importance, best iteration/score).

* Add equality comparison of boosters represented by strings.
Remove useless best_iteration_ comparison (we do not use early_stopping).

* fix whitespace

* Test if two subsequent fits produce different models

* Apply suggestions from code review
Co-Authored-By: default avatarNikita Titov <nekit94-08@mail.ru>
Co-authored-by: default avatarNikita Titov <nekit94-08@mail.ru>
      cf0a992e
  65. 16 Mar, 2020 1 commit