Thanks Andy, have added to the issue.

On 13 March 2012 15:16, Andreas <[email protected]> wrote:
> Hi Martin.
>
> This might be solved by issue 565
> https://github.com/scikit-learn/scikit-learn/issues/565.
> Maybe you should add there that keeping the estimators in memory also
> prevents pickling.
>
> Cheers,
> Andy
>
>
> On 03/13/2012 03:11 PM, Martin Fergie wrote:
>> Good Afternoon,
>>
>> I'm trying to pickle a class that contains a reference to a
>> GridSearchCV object and it is failing due to an instancemethod type. I
>> was under the impression that scikit-learn objects should be
>> picklable, is this correct? If so, would it be appropriate for me to
>> raise an issue?
>>
>> Information about the Exception is included below.
>>
>> Thanks,
>> Martin
>>
>> ---------------------------------------------------------------------------
>> TypeError                                 Traceback (most recent call last)
>> /tmp/<ipython-input-7-687becba8c7c>  in<module>()
>> ---->  1 cPickle.dump(gs, te)
>>
>> /opt/epd-7.2/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
>>
>>
>> print GridSearchCV:
>>
>> GridSearchCV(cv=sklearn.cross_validation.StratifiedKFold(labels=[ 1.
>> 1.  1.  1.  1.  1.  1.  1.  1.  1.  1.  1.  1.  1.  1.  1.  1.  1.
>>    1.  1.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.
>>    0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.  0.
>>    0.  0.  0.  0.  0.  0.], k=10),
>>         estimator=LinearSVC(C=1.0, dual=True, fit_intercept=True,
>> intercept_scaling=1,
>>       loss='l2', multi_class=False, penalty='l2', tol=0.0001),
>>         fit_params={}, iid=True, loss_func=None, n_jobs=4,
>>         param_grid={'C': [1, 10, 100, 1000, 10000, 100000]},
>>         pre_dispatch='2*n_jobs', refit=True, score_func=None, verbose=1)
>>
>>
>> The method causing the problem is LinearSVC.predict:
>>
>>
>>> /opt/epd-7.2/lib/python2.7/copy_reg.py(70)_reduce_ex()
>>>
>>       69         if base is self.__class__:
>> --->  70             raise TypeError, "can't pickle %s objects" % 
>> base.__name__
>>       71         state = base(self)
>>
>> ipdb>  self
>> <bound method LinearSVC.predict of LinearSVC(C=1, dual=True,
>> fit_intercept=True, intercept_scaling=1, loss='l2',
>>       multi_class=False, penalty='l2', tol=0.0001)>
>>
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