scikit-learn - 导入错误 : cannot import name 'GaussianProcess' from 'sklearn.gaussian_process'

Question

我试图 kaggle 内核 Bayesian Hyperparam Optimization of RF .我无法导入 sklearn.gaussian_process.GaussianProcess .请帮助这个可怜的 scikit-learn 新手。

from sklearn.gaussian_process import GaussianProcess as GP

错误:

Traceback (most recent call last):
  File "C:/Users/Develop/PycharmProjects/reinforcement recommandation system/BNP/bayesianoptimization-of-random-forest.py", line 24, in <module>
    from sklearn.gaussian_process import GaussianProcess as GP
ImportError: cannot import name 'GaussianProcess' from 'sklearn.gaussian_process' (C:\Users\Develop\PycharmProjects\reinforcement recommandation system\lib\site-packages\sklearn\gaussian_process\__init__.py)

Process finished with exit code 1

Answer 1

取决于您是否需要回归器或分类器:

from sklearn.gaussian_process import GaussianProcessRegressor as GP

from sklearn.gaussian_process import GaussianProcessClassifier as GP

另外，看看不同的 modules