Ryan,
Default CentOS 5.2 is python 2.4-ish right? Did you install a separate
Python distribution?
I have had a lot of trouble getting Anaconda to integrate with the system
packages in CentOS - maybe this is something similar? No idea about the OSX
side of things, though.
Kyle
On Wed, Oct 9, 2013 at 12:38 PM, Ryan Rosario <[email protected]> wrote:
> Three developers are working on MacOS 10.8 and CentOS 5.2 and all three
> of us have the same issue on Python 2.7.
>
> In other words, it's not just me.
>
> Sent from my iPhone
>
> On Oct 9, 2013, at 6:53 AM, "Jaques Grobler" <[email protected]>
> wrote:
>
> 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<https://urldefense.proofpoint.com/v1/url?u=http://twitter.com/ogrisel&k=ZVNjlDMF0FElm4dQtryO4A%3D%3D%0A&r=LFCGodllV6ePSYKIg3GW5g%3D%3D%0A&m=rnOzZNiZiMMceg5EX%2F2NVq6ZuiwR05IhcZdU4Y8cjrk%3D%0A&s=ad6502628b144f94c9135e593fd692ef3249b701678b8cbc85e5c145ddf657bf>-
>> http://github.com/ogrisel<https://urldefense.proofpoint.com/v1/url?u=http://github.com/ogrisel&k=ZVNjlDMF0FElm4dQtryO4A%3D%3D%0A&r=LFCGodllV6ePSYKIg3GW5g%3D%3D%0A&m=rnOzZNiZiMMceg5EX%2F2NVq6ZuiwR05IhcZdU4Y8cjrk%3D%0A&s=6411da6855a3b5c9f42f64de1b6900f0cc97c6ee36362816c6f9772d20d116be>
>>
>>
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