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* v3.3.0 release * Auto-update configure * Update R-package/DESCRIPTION Co-authored-by: GitHub Actions Bot <[email protected]> Co-authored-by: Nikita Titov <[email protected]>
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version: 3.2.1.99.{build} | ||
version: 3.3.0.{build} | ||
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image: Visual Studio 2015 | ||
platform: x64 | ||
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Version: ~~VERSION~~ | ||
Date: ~~DATE~~ | ||
Authors@R: c( | ||
person("Guolin", "Ke", email = "[email protected]", role = c("aut", "cre")), | ||
person("Yu", "Shi", email = "[email protected]", role = c("aut", "cre")), | ||
person("Guolin", "Ke", email = "[email protected]", role = c("aut")), | ||
person("Damien", "Soukhavong", email = "[email protected]", role = c("aut")), | ||
person("James", "Lamb", email="[email protected]", role = c("aut")), | ||
person("Qi", "Meng", role = c("aut")), | ||
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@@ -24,7 +25,8 @@ Authors@R: c( | |
person("Alberto", "Ferreira", role = c("ctb")), | ||
person("Daniel", "Lemire", role = c("ctb")), | ||
person("Victor", "Zverovich", role = c("cph")), | ||
person("IBM Corporation", role = c("ctb")) | ||
person("IBM Corporation", role = c("ctb")), | ||
person("David", "Cortes", role = c("ctb")) | ||
) | ||
Description: Tree based algorithms can be improved by introducing boosting frameworks. | ||
'LightGBM' is one such framework, based on Ke, Guolin et al. (2017) <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>. | ||
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3.2.1.99 | ||
3.3.0 |