"TypeError: __cinit__() takes exactly 8 positional arguments (3 given)"加载 sklearn 泡菜

Question

我在pythonywhere（Python 2.7）上有一个Flask应用程序，它需要加载一个pickle文件，其中包含用sklearn制作的机器学习估计器。

    with open("pickle.pkl", 'rb') as f:
    d = pickle.load(f)

给我这个错误：

2016-01-06 01:20:15,469 :Exception on / [GET]
Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/flask/app.py", line 1687, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python2.7/dist-packages/flask/app.py", line 1360, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python2.7/dist-packages/flask/app.py", line 1358, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python2.7/dist-packages/flask/app.py", line 1344, in dispatch_request
    return self.view_functions[rule.endpoint](**req.view_args)
  File "/home/znagler/mysite/flask_app.py", line 29, in index
    d = pickle.load(f)
  File "/usr/lib/python2.7/pickle.py", line 1378, in load
    return Unpickler(file).load()
  File "/usr/lib/python2.7/pickle.py", line 858, in load
    dispatch[key](self)
  File "/usr/lib/python2.7/pickle.py", line 1133, in load_reduce
    value = func(*args)
  File "_tree.pyx", line 1282, in sklearn.tree._tree.Tree.__cinit__ (sklearn/tree/_tree.c:10342)
TypeError: __cinit__() takes exactly 8 positional arguments (3 given)positional arguments (3 given)

我尝试过使用joblib和其他版本的Python，但总是会遇到一些错误，而这个错误是最接近成功的。如果有人曾经制作过一个Flask API，它在pickle文件中使用sklearn估计器，请提供帮助。

Answer 1

看起来您使用的是不同版本的sklearn。I.e你用来制作模型的sklearn版本与安装在机器上用来拆开模型的版本不同。

我有一个确切的问题：我的本地机器正在使用sklearn 0.18（dev）训练和酸洗随机森林；我有一个运行sklearn 0.17的ec2实例（我从未拾取的随机林中输出预测）；

>

>> foo_predictor = pickle.load(open('rF_REVENUENext_version2.pkl', 'rb'))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/lib/python2.7/pickle.py", line 1378, in load
    return Unpickler(file).load()
  File "/usr/lib/python2.7/pickle.py", line 858, in load
    dispatch[key](self)
  File "/usr/lib/python2.7/pickle.py", line 1133, in load_reduce
    value = func(*args)
  File "_tree.pyx", line 1282, in sklearn.tree._tree.Tree.__cinit__ (sklearn/tree/_tree.c:10342)
TypeError: __cinit__() takes exactly 8 positional arguments (3 given)