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* Change static map/set to functions that return static variables

* Fixed newline

* testing CI

* removed commented-out code fixed formatting

* return const references to parameter_set and alias_table

* fixup whitespace

* Too many requests error when running CI on docs. Triggering a rebuild.

* warning for testing col-wise and row-wise

* fix timetag

* no omp_set_nested

* Update openmp_wrapper.h

* slightly reduce the cost of multi-val bin construct.

* Update multi_val_sparse_bin.hpp

* 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: James 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: James Lamb <jaylamb20@gmail.com>
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* 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

Use an OpenMP critical section for clEnqueueWriteBuffer

* try to use _mm_prefetch anywhere

* refine

* fix bug

* remove the unneeded prefetch

* implement

* fix warning

* fix bug

* fix a bug

* remove unneed function

* fix data push bug

* fix valid data push

* fix bug for missing_type=zero

* refine split

* renames

* typo

* Update metadata.cpp

* add version for training set, for efficiently update label/weight/... during training.

* Update lgb.Booster.R

* add prefetch for dense bin

* prefetch for ordered bin

* Update meta.h

* Update meta.h

* Update dense_bin.hpp

* implement

* better documentation

* Update include/LightGBM/config.h
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* Apply suggestions from code review
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* fix document

* regenerate docs
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* added feature importance to JSON dump

* hotfix

* Update gbdt_model_text.cpp

* warning for init_score in save_binary

fix #2639

* Update metadata.cpp

* added info into docs
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

* fix predict with header

* avoid duplicated feature names

* 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.

* LightGBM would hang on MPI run if only some nodes have a fatal error. The issue is that the destructor of Application calls MPI_Finalize(), which will cause the program to hand and prevent from exiting. So we move the network finalization out of the destructor and call MPI_Finalize() or MPI_Abort() based on whether there was an unhandled exception.

* Minor updates: Remove excess debug logging, whitespaces.

* Add comments for new functions.

* fix compile warning for HDFS version

* cast to size_t

* Fix build error when HDFS is enabled.

* Replace string with char array to eliminate cpplint.

* added <algorithm> to parser header

* reordered inputs per style guide

Fix #2564

* Update sparse_bin.hpp

* check sorted in c_api

* fix python package

* fix tests

* fix test

* std::is_sorted

* Update basic.py

* reduce the buffer when using high dimensional data in distributed mode.

* Update dataset_loader.cpp

* refix

* typo

* fix number of bin accumulation.

* avoid overflow

* fix warning

* efficient solution.

* Update dataset.h

* fix bin count output

* fix warning

* bug in dist number of feature check

* fix possible edge case

* Update dataset.cpp

* possible bug fix

* fix

* fixed miscellaneous typos in documentation

* fix typo introduced in typo-fixing PR

* check the shape for mat, csr and csc

* guess from csr

* support file checking

* better error msg

* grammar

* clean code

* code clean

* check range for CSR

* Update test_.py

* Update test_.py

* added tests

* 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 functionality to force bin thresholds.

* Fix style issues.

* Use stable sort.

* Minor style and doc fixes.

* Add functionality to force bin thresholds.

* Fix style issues.

* Use stable sort.

* Minor style and doc fixes.

* Change binning behavior to be same as PR #2342.

* Add functionality to force bin thresholds.

* Fix style issues.

* Use stable sort.

* Minor style and doc fixes.

* Add functionality to force bin thresholds.

* Fix style issues.

* Use stable sort.

* Minor style and doc fixes.

* Change binning behavior to be same as PR #2342.

* Add functionality to force bin thresholds.

* Fix style issues.

* Minor style and doc fixes.

* Add functionality to force bin thresholds.

* Fix style issues.

* Minor style and doc fixes.

* Change binning behavior to be same as PR #2342.

* Add functionality to force bin thresholds.

* Fix style issues.

* Use stable sort.

* Minor style and doc fixes.

* Add functionality to force bin thresholds.

* Fix style issues.

* Use stable sort.

* Minor style and doc fixes.

* Change binning behavior to be same as PR #2342.

* Use different bin finding function for predefined bounds.

* Fix style issues.

* Minor refactoring, overload FindBinWithZeroAsOneBin.

* Fix style issues.

* Fix bug and add new test.

* Add warning when using categorical features with forced bins.

* Pass forced_upper_bounds by reference.

* Pass container types by const reference.

* Get categorical features using FeatureBinMapper.

* Fix bug for small max_bin.

* Move GetForcedBins to DatasetLoader.

* Find forced bins in dataset_loader.

* Minor fixes.

* Fix integer overflow https://github.com/microsoft/LightGBM/issues/2357

* Use 2 spaces not 4

* Move constant the config.h
Move check outside the max_depth check

* Move the max leaves check to config.h

* Remove unnecessary check

* Update feature_histogram.hpp

* Update feature_histogram.hpp

* refactoring

* fix style

* fix style

* Update cost_effective_gradient_boosting.hpp

* Update serial_tree_learner.cpp

* Update serial_tree_learner.h

* fix style

* update vc project

* Update cost_effective_gradient_boosting.hpp