Package: lightgbm
Type: Package
Title: Light Gradient Boosting Machine
Version: 2.0.8
Date: 2017-10-14
Author: Guolin Ke <guolin.ke@microsoft.com>
Maintainer: Guolin Ke <guolin.ke@microsoft.com>
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 (>= 2.0)
Imports: methods, Matrix (>= 1.1-0), data.table (>= 1.9.6), magrittr
        (>= 1.5), jsonlite (>= 1.0)
RoxygenNote: 6.0.1
Built: R 3.3.3; x86_64-pc-linux-gnu; 2017-10-17 10:18:34 UTC; unix
