Package: lightgbm
Type: Package
Title: Light Gradient Boosting Machine
Version: 0.1
Date: 2016-12-29
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: The MIT 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), methods, data.table (>= 1.9.6), magrittr (>= 1.5),
        stringi (>= 0.5.2)
Depends: R (>= 3.0), R6
Imports: Matrix (>= 1.1-0), methods
RoxygenNote: 5.0.1
Built: R 3.3.2; x86_64-w64-mingw32; 2017-01-23 10:34:33 UTC; windows
Archs: x64
