我正在尝试使用sklearn的前沿版本从他们的github安装它,如下图中的第2行所示。第5行从此版本的sklearn导入一些函数。这条线在我的本地工作,而不是谷歌Colab。我是否遗漏了一些暗示该工具使用最新安装的版本而不是其缓存版本的东西?
答案 0 :(得分:5)
我不确定为什么会这样,但是如果你在安装最新开发之前卸载了scikit-learn,那就可以了:
[1] !pip uninstall scikit-learn -y
Uninstalling scikit-learn-0.19.1:
Successfully uninstalled scikit-learn-0.19.1
[2]!pip install Cython
!pip install git+git://github.com/scikit-learn/scikit-learn.git
Requirement already satisfied: Cython in /usr/local/lib/python3.6/dist-packages (0.28.2)
Collecting git+git://github.com/scikit-learn/scikit-learn.git
Cloning git://github.com/scikit-learn/scikit-learn.git to /tmp/pip-req-build-d59ukisw
Requirement already satisfied: numpy>=1.8.2 in /usr/local/lib/python3.6/dist-packages (from scikit-learn==0.20.dev0) (1.14.3)
Requirement already satisfied: scipy>=0.13.3 in /usr/local/lib/python3.6/dist-packages (from scikit-learn==0.20.dev0) (0.19.1)
Building wheels for collected packages: scikit-learn
Running setup.py bdist_wheel for scikit-learn ... done
Stored in directory: /tmp/pip-ephem-wheel-cache-is88dk15/wheels/a1/50/0e/316ef2ff8d4cfade292bd20b49efda94727688a153382745a6
Successfully built scikit-learn
Installing collected packages: scikit-learn
Successfully installed scikit-learn-0.20.dev0
[3] !pip freeze | grep scikit
scikit-image==0.13.1
scikit-learn==0.20.dev0
[4] from sklearn.preprocessing import CategoricalEncoder
[5] import sklearn
sklearn.__version__
'0.20.dev0'