- 26 Jun, 2022 1 commit
-
-
Nikita Titov authored
Update basic.py
-
- 25 Jun, 2022 1 commit
-
-
James Lamb authored
* [python-package] add more type hints in engine.py * Update python-package/lightgbm/engine.py Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> Co-authored-by:
-
- 23 Jun, 2022 1 commit
-
-
James Lamb authored
[python-package] add more hints on Booster
-
- 20 Jun, 2022 1 commit
-
-
Nikita Titov authored
Simplify params handling in `predict()` with `_choose_param_value()`
-
- 19 Jun, 2022 4 commits
-
-
James Lamb authored
-
James Lamb authored
* [python] preserve None in _choose_param_value() * Update python-package/lightgbm/basic.py Co-authored-by:
-
James Lamb authored
* [python-package] add type hints on cv() * remove inadvertent changes * Apply suggestions from code review Co-authored-by:
-
david-cortes authored
[python-package] Use scikit-learn interpretation of negative `n_jobs` and change default to number of cores (#5105) * use joblib formula for negative n_jobs * correction for n_jobs calculation * use more robust cpu_count from joblib * change default n_jobs to number of cores * fix detection of num_threads under parameters * better handling of n_jobs at prediction time * fix incorrect usage of list.pop * correct pop/remove yet again * Update python-package/lightgbm/sklearn.py Co-authored-by:
-
- 12 Jun, 2022 1 commit
-
-
James Lamb authored
-
- 05 Jun, 2022 2 commits
-
-
James Lamb authored
* [python] add more type hints in basic.py * Update python-package/lightgbm/basic.py Co-authored-by:
-
José Morales authored
* dont copy dataframe on rename * test with feature_name and 'auto'
-
- 31 May, 2022 1 commit
-
-
James Lamb authored
-
- 25 May, 2022 1 commit
-
-
James Lamb authored
-
- 24 May, 2022 1 commit
-
-
Nikita Titov authored
* Update basic.py * Update test_engine.py * Add return type annotation
-
- 22 May, 2022 1 commit
-
-
José Morales authored
[python-package] make a shallow copy when replacing categorical features with codes (fixes #4596) (#5225)
-
- 17 May, 2022 1 commit
-
-
José Morales authored
* allow using feature names when retrieving number of bins * unname vector * use default feature names when not defined * lint * apply suggestions * remove extra comma * add test with categorical feature * make feature names sync more transparent
-
- 30 Apr, 2022 1 commit
-
-
Nikita Titov authored
-
- 22 Apr, 2022 1 commit
-
-
Miguel Trejo Marrufo authored
[python-package] remove 'fobj' in favor of passing custom objective function in params (fixes #3244) (#5052) * feat: support custom metrics in params * feat: support objective in params * test: custom objective and metric * fix: imports are incorrectly sorted * feat: convert eval metrics str and set to list * feat: convert single callable eval_metric to list * test: single callable objective in params Signed-off-by:
Miguel Trejo <armando.trejo.marrufo@gmail.com> * feat: callable fobj in basic cv function Signed-off-by:
-
- 13 Apr, 2022 1 commit
-
-
Nikita Titov authored
[python] Use predefined constant in feature importance type comparison instead of raw int literal (#5148)
-
- 02 Apr, 2022 1 commit
-
-
José Morales authored
-
- 31 Mar, 2022 1 commit
-
-
Nikita Titov authored
-
- 30 Mar, 2022 2 commits
-
-
Nikita Titov authored
* make `log_evaluation` callback pickleable * make callback tests stricter * make `record_evaluation` callback picklable
-
Nikita Titov authored
* make `log_evaluation` callback pickleable * make callback tests stricter
-
- 28 Mar, 2022 1 commit
-
-
RustingSword authored
* [python] allow to register any custom logger * allow customizable logging method name; add unit test * [python] allow to register any custom logger * allow customizable logging method name; add unit test * update tests * fix lint error * remove unused method * fix docstring style Co-authored-by:gongxudong <gongxudong@kuaishou.com>
-
- 17 Mar, 2022 1 commit
-
-
Antoni Baum authored
* Turn `early_stopping` into a Callable class * Fix * Lint * Remove print * Fix order * Revert "Lint" This reverts commit 7ca8b557572446888cf793c0082d9a7efd1e29a7. * Apply suggestion from code review * Nit * Lint * Move callable class outside the func for pickling * Move _pickle and _unpickle to tests utils * Add early stopping callback picklability test * Nit * Fix * Lint * Improve type hint * Lint * Lint * Add cloudpickle to test_windows * Update tests/python_package_test/test_engine.py * Fix * Apply suggestions from code review
-
- 15 Mar, 2022 2 commits
-
-
José Morales authored
* expose FeatureNumBin in C api * parametrize min_data_in_bin and add test with max_bin_by_feature * include feature_num_bin in R package * add suggestion from review Co-authored-by:
-
Henry Sorsky authored
* better logging of column datatypes * update to checking function * fix typo * Update python-package/lightgbm/basic.py Co-authored-by:
José Morales <jmoralz92@gmail.com> * Update python-package/lightgbm/basic.py Co-authored-by:
-
- 12 Mar, 2022 1 commit
-
-
José Morales authored
[python-package] [R-package] propagate the best iteration of cvbooster into the individual boosters (#5066)
-
- 06 Mar, 2022 1 commit
-
-
Miguel Trejo Marrufo authored
* docs: booster eval methods accept list of callables * docs: remove extra space
-
- 26 Feb, 2022 1 commit
-
-
Nikita Titov authored
[python] fixes for supporting 2d numpy arrays for predictions, grads and hess in multiclass custom objective and eval (#5030) * fixes for supporting 2d numpy arrays for predictions, grads and hess in multiclass custom objective * Apply suggestions from code review Co-authored-by:
-
- 24 Feb, 2022 1 commit
-
-
José Morales authored
* map nullable dtypes to regular float dtypes * cast x3 to float after introducing missing values * add test for regular dtypes * use .astype and then values. update nullable_dtypes test and include test for regular numpy dtypes * more specific allowed dtypes. test no copy when single float dtype df * use np.find_common_type. set np.float128 to None when it isn't supported * set default as type(None) * move tests that use lgb.train to test_engine * include np.float32 when finding common dtype * Apply suggestions from code review Co-authored-by:
-
- 23 Feb, 2022 2 commits
-
-
Miguel Trejo Marrufo authored
* docs: weight parameter non-negative * docs: weights non negative only for train data * docs: weights should be non negative for validation data * typo in html render * docs: brief weights non-negative description
-
José Morales authored
[python-package] use 2d collections for predictions, grads and hess in multiclass custom objective (#4925) * reshape predictions, grad and hess in multiclass custom objective * add sklearn test. move custom obj to utils. docs for numpy * use num_model_per_iteration to get num_classes * update docs and dask multiclass custom objective test * move reshaping to __inner_predict. add test for feval * add missing note. remove extra line
-
- 20 Feb, 2022 1 commit
-
-
José Morales authored
* clarify that categoricals will be converted to ints and not that they should be ints in the input data * update remaining sections * update config.h * add suggestions
-
- 17 Feb, 2022 1 commit
-
-
James Lamb authored
-
- 16 Feb, 2022 2 commits
-
-
Nikita Titov authored
-
Akshita Dixit authored
-
- 15 Feb, 2022 1 commit
-
-
José Morales authored
* make record_evaluation compatible with cv * test multiple metrics in cv * lint * fix cv with train metric. save stdv as well * always add dataset prefix to cv_agg * remove unused function
-
- 22 Jan, 2022 1 commit
-
-
Miguel Trejo Marrufo authored
* feat: refit additional kwargs for dataset and predict * test: kwargs for refit method * fix: __init__ got multiple values for argument * fix: pycodestyle E302 error * refactor: dataset_params to avoid breaking change * refactor: expose all Dataset params in refit * feat: dataset_params updates new_params * fix: remove unnecessary params to test * test: parameters input are the same * docs: address StrikeRUS changes * test: refit test changes in train dataset * test: set init_score and decay_rate to zero
-
- 17 Jan, 2022 1 commit
-
-
James Lamb authored
* add test for custom objective with regressor * add test for custom binary classification objective with classifier * isort * got tests working for multiclass * update docs * train deeper model for classifier * Apply suggestions from code review Co-authored-by:
-
