Ubuntu 安装 XGBoost-Python和R

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting(also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment(Hadoop, SGE, MPI) and can solve problems beyond billions of examples.

XGBoost可在Windows、Linux、Mac OS X上使用,支持多种编程语言:C++, Python, R, Java, Scala, Julia等。

安装XGBoost-Python

安装基本开发工具:

从Github下载最新源代码:

编译:

生成的库:lib/libxgboost.so、lib/libxgboost.a;命令行工具:xgboost。

安装Python包:

测试:

Ubuntu 安装 XGBoost-Python和R

安装XGBoost-R

安装XGBoost包:

测试:

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