- 24 Oct, 2019 2 commits
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James Lamb authored
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James Lamb authored
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- 07 Oct, 2019 1 commit
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James Lamb authored
* fixed miscellaneous typos in documentation * fix typo introduced in typo-fixing PR
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- 05 Sep, 2019 1 commit
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Nikita Titov authored
* R docs cleanup * regenerated R documentation files
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- 20 Jan, 2019 1 commit
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Dan Houghton authored
* Correcting lgb.prepare output comment * updated Roxygen files
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- 09 Sep, 2018 1 commit
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James Lamb authored
* [R-package] removed horizontal whitespace (fixes #1642) * [R-package] fixed missing newline in test file
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- 05 Sep, 2018 1 commit
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James Lamb authored
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- 31 Aug, 2018 1 commit
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James Lamb authored
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- 29 Aug, 2018 1 commit
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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
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- 27 Aug, 2018 1 commit
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Nikita Titov authored
* bring consistency and clearness into early_stopping_rounds desc, metric desc and implementation * hotfix * hotfix * used NDCG as default metric for lambdarank task * fixed missed methods at ReadTheDocs and changed default eval_metric * leaved only unique metrics * fixed comment
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- 24 May, 2018 1 commit
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Fujii Hironori authored
The document of `early_stopping_rounds` says it will check all of eval_set. But, this is not true. It doesn't check the dataset specified as the training data. This change appends an extra phrase "except the training data" to all of the sentences "If there's more than one, will check all of them" in documents.
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- 16 Mar, 2018 1 commit
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James Lamb authored
* Fixed misc CRAN issues * Added additional details to R-package DESCRIPTION
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- 06 Oct, 2017 1 commit
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Laurae authored
* Silent parameter does not exist anymore * Fix Microsoft/LightGBM#913 * Generate Rd files for R documentation
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- 04 Sep, 2017 1 commit
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Laurae authored
* Add efficient demo for LightGBM * Add bank dataset and more examples * Add bank manual
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- 18 Aug, 2017 1 commit
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Laurae authored
* Revert "[R-package] Prevent remembering parameters (#796)" This reverts commit c795e2c8e12e8fe989bde0ab4ee59c2301325814. * Use model load/unload trick for free-ing up memory * Missing comma * Hand copy manual update (1/2) * Hand copy manual update (2/2)
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- 29 May, 2017 1 commit
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Laurae authored
* Fix https://github.com/Microsoft/LightGBM/pull/561 * GitHub local broke, uploading on browser (R-package) * GitHub local broke, uploading on browser (R-package)
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- 28 May, 2017 1 commit
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Laurae authored
* Add lgb.prepare * Update roxygen to 6.0.1 and add lgb.prepare * Add prepared rules. * Add recommendation when needing rules for transformation.
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- 26 May, 2017 1 commit
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Laurae authored
* Not using temporary files anymore RDS * Attempt to avoid using a temporary file
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- 05 May, 2017 1 commit
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Guolin Ke authored
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- 24 Apr, 2017 1 commit
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Guolin Ke authored
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- 03 Apr, 2017 1 commit
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Laurae authored
* Define environment in examples (xgboost clash) * Large R code changes
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- 17 Mar, 2017 2 commits
- 03 Mar, 2017 1 commit
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Yachen Yan authored
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- 01 Mar, 2017 4 commits
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Guolin Ke authored
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Yachen Yan authored
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Yachen Yan authored
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Guolin Ke authored
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- 25 Jan, 2017 1 commit
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Yachen Yan authored
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- 24 Jan, 2017 1 commit
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Yachen Yan authored
* Add lgb.Booster parsing function * Add data.table, magrittr, jsonlite to Imports
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- 14 Jan, 2017 1 commit
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Tyler Hunt 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 2 commits
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Guolin Ke authored
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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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