Hi Joel,
Sorry for the late reply. That solved the problem. Thanks for the tip,
I did not notice the parameter should be prefixed (which is kind of
obvious).
Thanks a lot,
José
José Guilherme
On Tue, Jun 9, 2015 at 1:38 PM, Joel Nothman <joel.noth...@gmail.com> wrote:
> Until sample_weight is directly supported in Pipeline, you need to prefix
> `sample_weight` by the step name with '__'. So for Pipeline([('a', A()),
> ('b', B())] use fit_params={'a__sample_weight': sample_weight,
> 'b__sample_weight': sample_weight} or similar.
>
> HTH
>
> On 10 June 2015 at 03:57, José Guilherme Camargo de Souza
> <jose.camargo.so...@gmail.com> wrote:
>>
>> Hi Andy,
>>
>> Thanks for your reply. The full traceback is below, weights.shape and
>> the training data shape are:
>>
>> (773,)
>> (773, 82)
>>
>> I weas using a ExtraTreeClassifier but the same thing happens with an
>> SVC. It doesn't seem to be an estimator-specific issue.
>>
>> ...
>>
>>
>> ...........................................................................
>>
>> /Users/jgcdesouza/anaconda/lib/python2.7/site-packages/sklearn/pipeline.pyc
>> in _pre_transform(self=Pipeline(steps=[('standardscaler',
>> StandardScale...one, shrinking=True, tol=0.001, verbose=False))]),
>> X=array([[ 16. , 16. , 1. , .... 1. ,
>> 4. , 4. ]]), y=array([ 1., 1., 1., 1., 1.,
>> 1., 1., 0., ..., 0.,
>> 1., 1., 0., 0., 1., 1., 0.]),
>> **fit_params={'sample_weight': array([ 0.54980595, 0.54980595,
>> 0.54980595, 0...5,
>> 0.54980595, 0.54980595, 0.45019405])})
>> 111 # Estimator interface
>> 112
>> 113 def _pre_transform(self, X, y=None, **fit_params):
>> 114 fit_params_steps = dict((step, {}) for step, _ in
>> self.steps)
>> 115 for pname, pval in six.iteritems(fit_params):
>> --> 116 step, param = pname.split('__', 1)
>> 117 fit_params_steps[step][param] = pval
>> 118 Xt = X
>> 119 for name, transform in self.steps[:-1]:
>> 120 if hasattr(transform, "fit_transform"):
>>
>> ValueError: need more than 1 value to unpack
>>
>> ___________________________________________________________________________
>>
>> Process finished with exit code 1
>> """
>>
>>
>>
>> José Guilherme
>>
>
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