[scikit-learn] GSoc, 2017 (proposal idea and intro) .reg

[SHUBHAM BHARDWAJ 15BCE0704]

Hello Sir,

Greetings. I have coded a sequential version of Scalable Kmeans++ (#8585)
and have included a test script for testing it in the pr's description.
https://github.com/scikit-learn/scikit-learn/pull/8585.

Regards
Shubham Bhardwaj

On Tue, Mar 14, 2017 at 3:59 AM, Shreyas Saligrama chandrakan <
ssaligra at hawk.iit.edu> wrote:

> Hi,
>
> Is it possible for me to contribute a library to introduce SVM's with tree
> kernel (like current available one in svmlight) which is currently missing
> in scikit-learn?
>
> Best,
> Shreyas
>
> On 5 Mar 2017 11:03 a.m., "Andreas Mueller" <t3kcit at gmail.com> wrote:
>
>> There was a PR here:
>> https://github.com/scikit-learn/scikit-learn/pull/5530
>>
>> but it didn't seem to work. Feel free to convince us otherwise ;)
>>
>>
>> On 03/02/2017 08:23 PM, SHUBHAM BHARDWAJ 15BCE0704 wrote:
>>
>> Hello Sir,
>> Very Sorry for the numbers I saw this written in the comments.I assumed
>> -Given the person who suggested the paper might have taken a look into the
>> number of citations.I will make sure to personally check myself.
>>
>> Regards
>> Shubham Bhardwaj
>>
>> On Fri, Mar 3, 2017 at 6:40 AM, Guillaume Lemaître <
>> g.lemaitre58 at gmail.com> wrote:
>>
>>> I think that you mean this paper -> Scalable K-Means++ -> 218 citations
>>>
>>> On 3 March 2017 at 02:00, SHUBHAM BHARDWAJ 15BCE0704 <
>>> shubham.bhardwaj2015 at vit.ac.in> wrote:
>>>
>>>> Hello Sir,
>>>>
>>>> Thanks a lot for the reply. Sorry for not being elaborate about what I
>>>> was trying to address. I wanted to implement this [
>>>> http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf] (1200+citations)-
>>>> mentioned in comments. This pertains to the stalled issue #4357 .Proposal
>>>> idea - implementing a scalable kmeans++.
>>>>
>>>> Regards
>>>> Shubham Bhardwaj
>>>>
>>>> On Fri, Mar 3, 2017 at 12:01 AM, Jacob Schreiber <
>>>> jmschreiber91 at gmail.com> wrote:
>>>>
>>>>> Hi Shubham
>>>>>
>>>>> Thanks for your interest. I'm eager to see your contributions to
>>>>> sklearn in the future. However, I'm pretty sure kmeans++ is already
>>>>> implemented: http://scikit-learn.org/stable/modules/generate
>>>>> d/sklearn.cluster.KMeans.html
>>>>>
>>>>> Jacob
>>>>>
>>>>> On Thu, Mar 2, 2017 at 1:07 AM, SHUBHAM BHARDWAJ 15BCE0704 <
>>>>> shubham.bhardwaj2015 at vit.ac.in> wrote:
>>>>>
>>>>>> Hello Sir,
>>>>>>
>>>>>> My introduction :
>>>>>> I am a 2nd year student studying Computer Science and engineering
>>>>>> from VIT, Vellore. I work in Google Developers Group VIT. All my experience
>>>>>> has been about collaborating with a lot of people ,working as a team,
>>>>>> building products and learning along the way.
>>>>>> Since scikit-learn is participating this time I am too planning to
>>>>>> submit a proposal.
>>>>>>
>>>>>> Proposal idea:
>>>>>> I am really interested in implementing kmeans++ algorithm.I was doing
>>>>>> some work on DT but I found this very appealing. Just wanted to know if it
>>>>>> can be a good project idea.
>>>>>>
>>>>>> Regards
>>>>>> Shubham Bhardwaj
>>>>>>
>>>>>>
>>>>>>
>>>>>> _______________________________________________
>>>>>> scikit-learn mailing list
>>>>>> scikit-learn at python.org
>>>>>> https://mail.python.org/mailman/listinfo/scikit-learn
>>>>>>
>>>>>>
>>>>>
>>>>> _______________________________________________
>>>>> scikit-learn mailing list
>>>>> scikit-learn at python.org
>>>>> https://mail.python.org/mailman/listinfo/scikit-learn
>>>>>
>>>>>
>>>>
>>>> _______________________________________________
>>>> scikit-learn mailing list
>>>> scikit-learn at python.org
>>>> https://mail.python.org/mailman/listinfo/scikit-learn
>>>>
>>>>
>>>
>>>
>>> --
>>> Guillaume Lemaitre
>>> INRIA Saclay - Ile-de-France
>>> Equipe PARIETAL
>>> guillaume.lemaitre at inria.f <guillaume.lemaitre at inria.fr>r ---
>>> https://glemaitre.github.io/
>>>
>>> _______________________________________________
>>> scikit-learn mailing list
>>> scikit-learn at python.org
>>> https://mail.python.org/mailman/listinfo/scikit-learn
>>>
>>>
>>
>>
>> _______________________________________________
>> scikit-learn mailing listscikit-learn at python.orghttps://mail.python.org/mailman/listinfo/scikit-learn
>>
>>
>>
>> _______________________________________________
>> scikit-learn mailing list
>> scikit-learn at python.org
>> https://mail.python.org/mailman/listinfo/scikit-learn
>>
>>
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20170315/ece692be/attachment.html>