GitLab

* Implement top-k multiclass error metric. Add new parameter top_k_threshold.

* Add test for multiclass metrics

* Make test less sensitive to avoid floating-point issues.

* Change tabs to spaces.

* Fix problem with test in Python 2. Refactor to use np.testing. Decrease number of training rounds so loss is larger and easier to compare.

* Move multiclass tests into test_engine.py

* Change parameter name from top_k_threshold to multi_error_top_k.

* Fix top-k error metric to handle case where scores are equal. Update tests and docs.

* Change name of top-k metric to multi_error@k.

* Change tabs to spaces.

* Fix formatting.

* Fix minor issues in docs.

`num_round` is redundant here because it will be overrideen by `num_trees` in the `param` dictionary.

* first metric only in earlystopping for cli

* code clean

* added note about CLI only usage

* removed note about CLI only usage

* PR #1879

* Update docs with parameter_generator.py

* Update wrapper doc for sklearn

* added ability to pass first_metric_only in params

* simplified tests

* fixed test

* fixed punctuation

* test: AppleClang on Travis

* updated fix for OpenMP multiple instances

* updated docs

* switch compiler back

* fix travis badge

* updated GitHub Microsoft URL

* use file to install deps for docs

* added C_API docs

* use breathe without exhale

* added missed params descriptions and make Doxygen fail for warnings

* escape char hotfix

* ignore unknown directive for rstcheck

* better handle env variable

* hotfix for 'Unknown directive type' error with C_API=NO

* Update .gitignore

* fixed pylint

* use already defined constants in conf.py

* do not suppress Doxygen's output

* addressed review comments

* removed unneeded import

* added plot_split_value_histogram function

* updated init module

* added plot split value histogram example

* added plot_split_value_histogram to notebook

* added test

* fixed pylint

* updated API docs

* fixed grammar

* set y ticks to int value in more sufficient way

* updated installation guide

* updated Python installation guide

* added note about opencl path to Windows section

* added space before path in message

* minor correction for option description in Python installation guide

* set platform via A option

* style hotfix

* updated R installation script

* updated Python installation script

* updated CI test script

* provide VS version-ingependent link for redistributables download

* added link to VS 2019 redistributables

* added VS 2019 match for Boost binaries

* Update Features.rst

* Update .appveyor.yml

* Update test_windows.ps1

* Update test_windows.ps1

* Update .appveyor.yml

* Update test_windows.ps1

* Update .appveyor.yml

* Update doc string for pred_contrib

See comments at the end of #1969

* Update basic.py

* Update basic.py

* update doc strings

* update equals sign in doc string

* strip whitespace and gen rst

* strip whitespace

* updated HDFS guide

* updated guide

* no info about Clang

* pass paths in quotes

* Update README.rst

* fixed Python intro

* fixed typos

* scikit-learn added support of https

* Add configuration parameters for CEGB.

* Add skeleton CEGB tree learner

Like the original CEGB version, this inherits from SerialTreeLearner.
Currently, it changes nothing from the original.

* Track features used in CEGB tree learner.

* Pull CEGB tradeoff and coupled feature penalty from config.

* Implement finding best splits for CEGB

This is heavily based on the serial version, but just adds using the coupled penalties.

* Set proper defaults for cegb parameters.

* Ensure sanity checks don't switch off CEGB.

* Implement per-data-point feature penalties in CEGB.

* Implement split penalty and remove unused parameters.

* Merge changes from CEGB tree learner into serial tree learner

* Represent features_used_in_data by a bitset, to reduce the memory overhead of CEGB, and add sanity checks for the lengths of the penalty vectors.

* Fix bug where CEGB would incorrectly penalise a previously used feature

The tree learner did not update the gains of previously computed leaf splits when splitting a leaf elsewhere in the tree.
This caused it to prefer new features due to incorrectly penalising splitting on previously used features.

* Document CEGB parameters and add them to the appropriate section.

* Remove leftover reference to cegb tree learner.

* Remove outdated diff.

* Fix warnings

* Fix minor issues identified by @StrikerRUS.

* Add docs section on CEGB, including citation.

* Fix link.

* Fix CI failure.

* Add some unit tests

* Fix pylint issues.

* Fix remaining pylint issue

* Small aesthetic improvements to RTD docs

* fixed markdown table in Development-Guide

* removed unnecessary blank line in conf.py

* Use first_metric_only flag for early_stopping function.

In order to apply early stopping with only first metric, applying first_metric_only flag for early_stopping function.

* upcate comment

* Revert "upcate comment"

This reverts commit 1e75a1a415cc16cfbe795181e148ebfe91469be4.

* added test

* fixed docstring

* cut comment and save one line

* document new feature

[docs] added notes about params usage when data is provided via path and removed unused param (#2024)

* added notes about params usage when data is provided via path

* fixed init score and valid init score params note

* fixed binary params description

* added LightGBM SWIG wrappers for macOS and updated docs

* updated installation instructions based on comments

* updated based on comments

* it is confusing to name validation data `test_data` especially as terms like train, validation, test splits are common in ML. Change variable name in python quick start.

* convert datatable to numpy directly

* fix according to comments

* updated more docstrings

* simplified isinstance check

* Update compat.py

[docs] Fixed OpenCL Debian package name typo

* Fix build on macOS Mojave

Fixed #1898

- https://iscinumpy.gitlab.io/post/omp-on-high-sierra/
- https://cliutils.gitlab.io/modern-cmake/chapters/packages/OpenMP.html
- https://github.com/Homebrew/homebrew-core/pull/20589

* update setup.py

* update docs

* fix setup.py

* update docs

* update docs

* update setup.py

* update docs

* fixed minor typos in documentation

* fixed typo in gpu_tree_learner.cpp

* Update .gitignore

* Added links to the libraries used.

* Fixing the header

* Fixes

* ot -> to

* added get_data method

* hotfix

* added warning for other data types

* reworked according to review comments

* minor addition to FAQ

* added test

* added download artifacts badge

* hotfix

* store badge images locally

* explicitly set the order