问题序列化我scikit学习（sklearn）网格搜索分类中的IPython

Question

我跑了网格搜索分类从下面的IPython：

http://scikit-learn.org/dev/auto_examples/grid_search_digits.html

，然后试图通过酸洗序列化，但收到以下回溯：

In [6]: with open('clf.pkl', 'wb') as f: 
    cPickle.dump(clf, f) 
    ...:  
--------------------------------------------------------------------------- 
TypeError         Traceback (most recent call last) 
<ipython-input-6-577559be619c> in <module>() 
     1 with open('clf.pkl', 'wb') as f: 
----> 2  cPickle.dump(clf, f) 
     3 

/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/copy_reg.pyc in  _reduce_ex(self, proto) 
    68  else: 
    69   if base is self.__class__: 
---> 70    raise TypeError, "can't pickle %s objects" % base.__name__ 
    71   state = base(self) 
    72  args = (self.__class__, base, state) 

TypeError: can't pickle instancemethod objects 

是否有解决方法？

我正在使用iPython和sklearn的最新测试版。

谢谢:)

Answer 1

网格搜索分类器中使用，以保持其创建的泡菜问题的所有估计。此问题已被noted before和solved。这个补丁comment告诉你可以通过酸洗best_estimator_来腌制分类器。在你的情况下，这将是：

cPickle.dump(clf.best_estimator_, f)