[Distutils] Improved Stats Features in Python
Rui Sarmento
rui_sarmento at hotmail.com
Sat Sep 10 19:26:15 EDT 2016
Hi Ralf,
Yes, in fact I was trying to submit in git but I have some doubts. I
will explore it more tomorrow (it is late here).
For example I still have doubts with this:
"If you are adding new functionality, you need to add it to the
documentation by editing (or creating) the appropriate file in
|docs/source|."
What exactly is "the appropriate file"?
and also "Open the |docs/source/release/versionX.X.rst| file that has
the version number of the next release and add your changes to the
appropriate section", I see that the last version in the repository is
version0.8.rst but I'm not sure this is the file I should edit...
Maybe tomorrow with a good night sleep I'll figure it out.
Cheers,
Rui
Às 22:56 de 10-09-2016, Ralf Gommers escreveu:
>
>
> On Sun, Sep 11, 2016 at 6:24 AM, Rui Sarmento
> <rui_sarmento at hotmail.com <mailto:rui_sarmento at hotmail.com>> wrote:
>
> Dear Ralf,
>
> No problem, its always nice to discover something new. In fact
> I've seen the statsmodel page you sent, talking about submitting
> with git. I'm not familiar with these procedures. Is there a
> How-To you would suggest me to read? It is the first time I submit
> to these repositories. My goal is to submit two functions, one for
> Bartlett and another for KMO.
>
>
> Did you see that this page expands at the bottom? This is pretty much
> a walkthrough of how you go about submitting a PR:
> http://statsmodels.sourceforge.net/devel/dev/git_notes.html. It also
> has links to a couple of other helpful tutorials.
>
> Cheers,
> Ralf
>
>
> Cheers,
>
> Rui
>
>
> Às 23:07 de 09-09-2016, Ralf Gommers escreveu:
>>
>>
>> On Sat, Sep 10, 2016 at 10:01 AM, Rui Sarmento
>> <rui_sarmento at hotmail.com <mailto:rui_sarmento at hotmail.com>> wrote:
>>
>> Dear Ralf,
>>
>> Thank you for your suggestions. About the Bartlett test I'm
>> aware that one of his tests (equal variance of samples) is
>> already available. Nonetheless, I'm not talking about that
>> particular test but about other Bartlett's test. The test I
>> wish to contribute is directed to Factor Analysis and is
>> related to the test for sphericity. I'll try to submit both
>> to the statsmodel.
>>
>>
>> Ah okay, thanks - learned something new. For Bartlett's
>> sphericity test statsmodels is probably also the best place indeed.
>>
>> Cheers,
>> Ralf
>>
>>
>> Best Regards,
>>
>> Rui
>>
>> Às 22:46 de 09-09-2016, Ralf Gommers escreveu:
>>>
>>>
>>> On Fri, Sep 9, 2016 at 6:29 PM, Ronny Pfannschmidt
>>> <opensource at ronnypfannschmidt.de
>>> <mailto:opensource at ronnypfannschmidt.de>> wrote:
>>>
>>> Hello Rui,
>>>
>>> this mailing list deal with tools you can use to publish
>>> 3rd party packages to something like the pypi package index,
>>>
>>> if you want to add to the python stdlib, you need to get
>>> started with python-ideas, python-dev and very likely
>>> write a PEP that will have to get accepted.
>>>
>>> if you just want to publish your own library, you just
>>> need to upload it to pypi and make it known.
>>>
>>> -- Ronny
>>>
>>> On 06.09.2016 17:06, Rui Sarmento wrote:
>>>
>>> Dear Sirs,
>>>
>>> I've implemented some stats functions related to
>>> Factor Analysis in the statistics area.
>>> Specifically, the KMO test and the Bartlett test
>>> also. At this time I do not seem to find any module
>>> performing these tests. Is there any chance I could
>>> add these functions to a package in Python. What is
>>> the procedure to perform such contribution.
>>>
>>>
>>> Barlett is already implemented in SciPy:
>>> http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.bartlett.html
>>> <http://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.bartlett.html>
>>>
>>> KMO isn't available anywhere as far as I can tell;
>>> statsmodels would be the best place if you would like to
>>> contribute your implementation there. See
>>> http://statsmodels.sourceforge.net/devel/dev/
>>> <http://statsmodels.sourceforge.net/devel/dev/> for how to
>>> go about that. I wouldn't bother proposing that for stdlib
>>> inclusion, it's way too specialized for that.
>>>
>>> Cheers,
>>> Ralf
>>>
>>>
>>>
>>> Thank you very much in advance for the suggestions.
>>>
>>> Best Regards,
>>>
>>> Rui
>>>
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>>>
>>>
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>>>
>>
>>
>
>
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