- 12 Jul, 2022 1 commit
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José Morales authored
[R-package] raise an informative error when custom objective produces incorrect output (fixes #5323) (#5329)
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- 30 Dec, 2021 1 commit
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James Lamb authored
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- 21 Dec, 2021 1 commit
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James Lamb authored
* [R-package] reduce verbosity in tests using lgb.train() * Update R-package/tests/testthat/test_lgb.Booster.R
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- 25 Sep, 2021 1 commit
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James Lamb authored
* [R-package] introduce Dataset set_field() and get_field() * fix incorrect fields * update pkgdown * fix example * fix another example * Apply suggestions from code review Co-authored-by:
Nikita Titov <nekit94-08@mail.ru> * update docs Co-authored-by:
Nikita Titov <nekit94-08@mail.ru>
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- 04 Jun, 2020 1 commit
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James Lamb authored
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- 05 Dec, 2019 1 commit
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Nikita Titov authored
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- 16 Nov, 2019 1 commit
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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: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
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- 24 Oct, 2019 1 commit
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James Lamb authored
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- 11 Jan, 2017 1 commit
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Kirill Sevastyanenko authored
* 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
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- 08 Jan, 2017 1 commit
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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
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