本文介绍了无法在 Scikit-learn 中导入 PolynomialFeatures、make_pipeline的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我无法在 ipython 笔记本中导入以下模块:

from sklearn.preprocessing import PolynomialFeatures从 sklearn.pipeline 导入 make_pipeline

弹出如下错误

导入错误:无法导入名称多项式特征

make_pipeline 也会出现同样的错误.

我是 scikit-learn 的新手,请帮忙.

我使用的是 miniconda 安装的 python,scikit-learn 的版本号是 0.14.1.

解决方案

多项式特征包含在 scikit-learn 的下一版本中,但在 0.14.1 中不可用.如果你想使用它,请更新到 0.15-git.make 管道也是如此.

要获得最前沿的版本:

git clone git://github.com/scikit-learn/scikit-learn.gitpython setup.py build_ext --inplace

请阅读:http://scikit-learn.org/stable/developers/index.html#git-repo

I'm not able to import the following modules in an ipython notebook:

from sklearn.preprocessing import PolynomialFeatures

from sklearn.pipeline import make_pipeline

The following error pops up

The same error also appears for make_pipeline.

I'm a newbie in scikit-learn, please help out.

I'm using the miniconda installation of python and the version number for scikit-learn is 0.14.1.

解决方案

Polynomial Features is included for next version of scikit-learn and is not available in 0.14.1. Please update to 0.15-git if you want to use it. The same holds for make pipeline.

To get the bleeding edge version:

git clone git://github.com/scikit-learn/scikit-learn.git

python setup.py build_ext --inplace

Please read: http://scikit-learn.org/stable/developers/index.html#git-repo

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09-25 07:21