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DESCRIPTION
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Package: lightgbm
Type: Package
Title: Light Gradient Boosting Machine
Version: 0.2
Date: 2017-06-05
Author: Guolin Ke <[email protected]>
Maintainer: Guolin Ke <[email protected]>
Description: LightGBM is a gradient boosting framework that uses tree based learning algorithms.
It is designed to be distributed and efficient with the following advantages:
1. Faster training speed and higher efficiency.
2. Lower memory usage.
3. Better accuracy.
4. Parallel learning supported.
5. Capable of handling large-scale data.
License: MIT + file LICENSE
URL: https://github.com/Microsoft/LightGBM
BugReports: https://github.com/Microsoft/LightGBM/issues
VignetteBuilder: knitr
Suggests:
knitr,
rmarkdown,
ggplot2 (>= 1.0.1),
DiagrammeR (>= 0.8.1),
Ckmeans.1d.dp (>= 3.3.1),
vcd (>= 1.3),
testthat,
igraph (>= 1.0.1),
stringi (>= 0.5.2)
Depends:
R (>= 3.0),
R6
Imports:
methods,
Matrix (>= 1.1-0),
data.table (>= 1.9.6),
magrittr (>= 1.5),
jsonlite
RoxygenNote: 6.0.1