在iPython中序列化我的scikit-learn(sklearn)网格搜索分类器时出现问题

时间:2012-08-17 01:49:55

标签: python ipython scikit-learn scikits

我在 iPython 中从下面运行了网格搜索分类器:

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

然后尝试通过酸洗序列化它,但收到了以下追溯:

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

有解决办法吗?

我正在使用iPython和sklearn的最新测试版。

谢谢:)

1 个答案:

答案 0 :(得分:1)

网格搜索分类器用于保留所有创建pickle问题的估算器。此问题一直是noted beforesolved。此补丁comment告诉您只需腌制best_estimator_就可以挑选分类器。在你的情况下:

cPickle.dump(clf.best_estimator_, f)