XGBoost.jl:XGBoostJulia套餐

上传者: 42168830 | 上传时间: 2022-06-06 16:43:29 | 文件大小: 70KB | 文件类型: ZIP
XGBoost.jl Julia的极限梯度提升 抽象的 该软件包是的Julia接口。 它是分布式梯度提升框架的高效且可扩展的实现。 该软件包包括高效的线性模型求解器和树学习算法。 该库使用OpenMP进行了并行化,它可以比某些现有的梯度增强软件包快10倍以上。 它支持各种目标函数,包括回归,分类和排名。 该软件包还具有可扩展性,因此用户也可以轻松定义自己的目标。 特征 稀疏的特征格式,可以轻松处理缺失值并提高计算效率。 高级功能,例如自定义损失功能,交叉验证,请参阅以获取演练示例。 安装 ] add XGBoost 或者 ] develop " https://github.com/dmlc/XGBoost.jl.git " ] build XGBoost 默认情况下,该软件包在Linux,MacOS和Windows上为XGBoost v0.82.0安装预构建的二进制文件。 只有L

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