I agree with Olivier -
On the latest dev version for me, partial_fit is there
I am unable to reproduce this problem
-------------------------
>>> model = naive_bayes.MultinomialNB()
>>> model.partial_fit(X, Y, classes = [0, 1])
>>> dir(model)
['__abstractmethods__', '__class__', '__delattr__', '__dict__', '__doc__',
'__format__', '__getattribute__', '__hash__', '__init__', '__module__',
'__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__',
'__sizeof__', '__str__', '__subclasshook__', '__weakref__', '_abc_cache',
'_abc_negative_cache', '_abc_negative_cache_version', '_abc_registry',
'_count', '_get_coef', '_get_intercept', '_get_param_names',
'_joint_log_likelihood', '_update_class_log_prior',
'_update_feature_log_prob', 'alpha', 'class_count_', 'class_log_prior_',
'class_prior', 'classes_', 'coef_', 'feature_count_', 'feature_log_prob_',
'fit', 'fit_prior', 'get_params', 'intercept_', '*partial_fit*', 'predict',
'predict_log_proba', 'predict_proba', 'score', 'set_params']
2013/10/9 Olivier Grisel <[email protected]>
> 2013/10/9 Ryan Rosario <[email protected]>:
> > I had the same issue on a fresh clone from Git after building and
> > installing it.
> >
> > I was able to fix the issue by removing the six.with_metaclass() call in
> > the base class DiscreteNB in naive_bayes.py and then building and
> > reinstalling, but this doesn't seem like a good fix for a wider audience.
> >
> > I filed a bug report.
> >
> > R.
> >
> > On 10/8/13 9:58 PM, "Gael Varoquaux" <[email protected]>
> wrote:
> >
> >>On Tue, Oct 08, 2013 at 09:05:52PM +0000, Ryan Rosario wrote:
> >>> I am trying to use the partial_fit function on a MultinomialNB object
> in
> >>> 0.14-git.
> >>> The API documentation for 0.14 says that this function exists. When I
> >>> try to use it, I get an error:
> >>
> >>0.14-git is before the release of 0.14, so it might not be there yet.
>
> Hi Ryan,
>
> I am pretty sure you are the only one to experience this issue so it
> is probably related to incorrect or not up to date install of the dev
> release of scikit-learn on your side.
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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