GitLab

* [R-package] [ci] added more linters

* Update R-package/tests/testthat/test_parameters.R
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* added cbind() to undesirable_function_linter

* fixed linting

* Update .ci/lint_r_code.R

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

* fixed cpplint errors

* fixed more cpplint errors

* code refactoring

* update vcproject

* refine

* fix test

* Update tests/python_package_test/test_sklearn.py

* fix test

* [R-package] Fixed R implementation of upper_bound() and lower_bound() for lgb.Booster

* [R-package] switched return type to double

* fixed  R tests on Booster upper_bound() and lower_bound()

* fixed linting

* moved numeric tolerance into a global constant

* fixed R Dataset aliases

* Update R-package/R/aliases.R
Co-Authored-By: James Lamb <jaylamb20@gmail.com>

* fix one more typo
Co-authored-by: James Lamb <jaylamb20@gmail.com>

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

* various minor style, docs and cpplint improvements

* fixed typo in warning

* fix recently added cpplint errors

* move note for params upper in description for consistency

* removed duplicated code from language wrappers

* removed check for resetting metric

* 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>

* [R-package] clarified error messages and documentation for lgb.get.eval.result()

* fixed bad link

* Update R-package/man/lgb.get.eval.result.Rd
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* [R-package] added fixes from codereview back in
Co-authored-by: Nikita Titov <nekit94-08@mail.ru>

[R-package] fixed sorting issues in lgb.cv() when using a model with observation weights (fixes #2572) (#2573)

* Added more linters on R code

* started working on implicit integers

* finished style changes to handle implicit integers

* regenned documentation and added concatenation linter

* changed channel for r-lintr

* try building stringi before lintr

* trying to get libicui18n

* trying another thing

* trying conda-forge again

* added re-install of stringi

* uncommented other stages

* Update .ci/test.sh
Co-Authored-By: Nikita Titov <nekit94-08@mail.ru>

* removed apt update and changed lintr version floor

* get lintr from CRAN

* R needs to come before C++ linting

* testing lintr install from CRAN

* trying one more thing

* more verbose

* order might matter

* removed commented code

* cleaned up linting block in test.sh

* grouped conda install calls and fixed a few integer array things

* [R-package] removed horizontal whitespace (fixes #1642)

* [R-package] fixed missing newline in test file

* Fixed typos in docs

* Fixed inconsistencies in documentation

* Updated strategy for registering routines

* Fixed issues caused by smashing multiple functions into one Rd

* Fixed issues with documentation

* Removed VignetteBuilder and updated Rbuildignore

* Added R build artefacts to gitignore

* Added namespacing on data.table set function. Updated handling of CMakeLists file to get around CRAN check.

* Updated build instructions

* Added R build script

* Removed build_r.sh script and updated R-package install instructions

* Fix lgb.Dataset construct issue with 1:n sequence in R v 3.5

* Add tests for feature penalties

* src & callbacks

* lgb.Booster and utils

* cv

* wip lgb.Dataset

* lgb.Dataset

* lgb.Predictor

* lgb.train

* typos

* add flags to facilitate macosx compilation

* fix basic_string template error with clang

* most unfortunate mode of development

* fixup tests

* last test

* roxygen

* roxygen v5.x.x

* finish R's c_api

* clean code

* fix sizeof pointer in 32bit system.

* add predictor class

* add Dataset class

* format code

* add booster

* add type check for expose function

* add a simple callback

* add all callbacks

* finish the basic training logic

* update docs

* add an simple training interface

* add basic test

* adapt the changes in c_api

* add test for Dataset

* add test for custom obj/eval functions

* fix python test

* fix bug in metadata init

* fix R CMD check