1. 03 Feb, 2020 1 commit
  2. 25 Jan, 2020 1 commit
  3. 06 Jan, 2020 1 commit
  4. 16 Nov, 2019 1 commit
    • James Lamb's avatar
      [R-package][ci] Added more R linters (fixes #2477) (#2533) · 1f7b06b9
      James Lamb authored
      
      
      * 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: default avatarNikita 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
      1f7b06b9
  5. 25 Oct, 2019 1 commit
  6. 24 Oct, 2019 1 commit
  7. 07 Oct, 2019 1 commit
  8. 19 Aug, 2019 1 commit
  9. 27 May, 2019 1 commit
    • Laurae's avatar
      [R-package] Fix best_iter and best_score (#2159) · f70a0532
      Laurae authored
      * Callback for NA handling
      
      * lgb.Booster default score => NA
      
      * lgb.cv default best score => NA
      
      * Fix back callback
      
      * lgb.train with booster check at the end
      
      manual tests done: 
      * With early stopping + with validation set
      * With early stopping + without validation set
      * Without early stopping + with validation set
      * Without early stopping + without validation set
      
      And with multiple metrics / validation sets.
      
      * lgb.cv with booster check at the end
      
      manual tests done: 
      * With early stopping + with validation set
      * With early stopping + without validation set
      * Without early stopping + with validation set
      * Without early stopping + without validation set
      
      And with multiple metrics / validation sets.
      f70a0532
  10. 09 Sep, 2018 1 commit
  11. 29 Aug, 2018 1 commit
    • James Lamb's avatar
      [R-package] CRAN fixes (#1499) · eded794e
      James Lamb authored
      * 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
      eded794e
  12. 27 Dec, 2017 1 commit
  13. 23 Dec, 2017 1 commit
  14. 30 Sep, 2017 1 commit
  15. 29 Sep, 2017 1 commit
  16. 23 Jul, 2017 1 commit
    • Laurae's avatar
      [R-package] Add best score (#721) · ac975e73
      Laurae authored
      * Try to store best scores in R package Microsoft/LightGBM#686
      
      * Add binding for best_score (unlock environment)
      
      * Fix double comma
      
      * Add best_score to lgb.Booster
      ac975e73
  17. 03 Apr, 2017 1 commit
  18. 11 Jan, 2017 2 commits
  19. 08 Jan, 2017 2 commits
    • Guolin Ke's avatar
      [R-package] add cv support · 88e6beb8
      Guolin Ke authored
      88e6beb8
    • Guolin Ke's avatar
      R package (#168) · 551d59ca
      Guolin Ke authored
      * 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
      551d59ca