无法在Google应用引擎中使用TfidfVectorizer [英] unable to use TfidfVectorizer in Google app engine

问题描述

我正在Google App Engine中编写一个python程序，它使用sklearn中的TfidfVectorizer来计算tf-idf。

我添加了sklearn库并将其导入为：

  from sklearn.feature_extraction.text import TfidfVectorizer 
  

然而，它给了我 no模块命名_check_build ，虽然它在库中已导入。

注意：我在纯python中有相同的代码，它工作得很好， python语法或导入没有任何问题;这个问题从GAE开始。

您是否知道解决这个问题的方法？ / div>

如果您没有使用任何特定于GAE的工具，请尝试在 Heroku 上部署您的应用程序。
它让你部署一个包含所有已安装库的整个虚拟环境。具体来说，Scikit-learn在Heroku上工作得很好。例如，查看此Github回购。

I am writing a python program in Google App Engine that calculates tf-idf using TfidfVectorizer in sklearn.

I have added sklearn library and have the import as:

from sklearn.feature_extraction.text import TfidfVectorizer

However it gives me no module named _check_build although it is in the library that I have imported.

Note: I have the same code in pure python and it works just fine so there is nothing wrong with the python syntax or imports; The problem starts with GAE.

Do you know any way to solve this issue?

解决方案

if you are not using any of GAE-specific tools, try deploying your app on Heroku. It let's you deploy a whole virtual environment with all the installed libraries on it. Specifically, Scikit-learn works on Heroku just fine. Check this Github repo for example.

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