【简明教程】windows下xgboost安装到python

本是古典何须时尚 2022-04-23 07:14 265阅读 0赞

### 文章目录 ###

*   *  github clone
     *  下载xgboost.dll
     *  编译
     *  检测

## github clone ##

电脑上使用github

git clone https://github.com/dmlc/xgboost.git

会在对应的目录下，多出一个xgboost目录。

## 下载xgboost.dll ##

*  访问 [http://www.picnet.com.au/blogs/guido/2016/09/22/xgboost-windows-x64-binaries-for-download/][http_www.picnet.com.au_blogs_guido_2016_09_22_xgboost-windows-x64-binaries-for-download]
 *  在下面选一个，如果有cuda的话，就选GPU版本的，否则就选Not GPU

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ExOTk5MDQxMg_size_16_color_FFFFFF_t_70]

*  将下载的`xgboost.dll`文件放到git clone下来的`python-package\xgboost`文件夹中

## 编译 ##

进入到git clone下来的`python-package`文件夹中，进入命令行  
输入：`Python setup.py install`

## 检测 ##

D:\>python
    Python 3.6.6 (v3.6.6:4cf1f54eb7, Jun 27 2018, 03:37:03) [MSC v.1900 64 bit (AMD64)] on win32
    Type "help", "copyright", "credits" or "license" for more information.
    >>> import xgboost
    D:\SoftWare\Python\lib\site-packages\sklearn\externals\joblib\externals\cloudpickle\cloudpickle.py:47: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
      import imp
    >>> xr = xgboost.XGBRegressor()
    >>> import numpy as np
    >>> X = np.array([[1, 2, 3], [4, 5, 6]])
    >>> y = np.array([1, 2])
    >>> xr.fit(X, y)
    XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,
           colsample_bytree=1, gamma=0, importance_type='gain',
           learning_rate=0.1, max_delta_step=0, max_depth=3,
           min_child_weight=1, missing=None, n_estimators=100, n_jobs=1,
           nthread=None, objective='reg:linear', random_state=0, reg_alpha=0,
           reg_lambda=1, scale_pos_weight=1, seed=None, silent=True,
           subsample=1)
    >>> X_t = np.array([[1, 2, 3],])
    >>> xr.predict(X_t)
    array([0.9978384], dtype=float32)

[http_www.picnet.com.au_blogs_guido_2016_09_22_xgboost-windows-x64-binaries-for-download]: http://www.picnet.com.au/blogs/guido/2016/09/22/xgboost-windows-x64-binaries-for-download/
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