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

SHUBHAM BHARDWAJ 15BCE0704 shubham.bhardwaj2015 at vit.ac.in
Wed Mar 22 09:13:12 EDT 2017


Hello Sir,
Added benchmarks, kindly let me know further improvements and that whether
if its a good idea to consider the next parts listed in the to-do list of
my pr for proposal.Thanks.
pr:
https://github.com/scikit-learn/scikit-learn/pull/8585

Regards
Shubham Bhardwaj

On Wed, Mar 15, 2017 at 10:58 PM, SHUBHAM BHARDWAJ 15BCE0704 <
shubham.bhardwaj2015 at vit.ac.in> wrote:

> 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
>>>>>>>
>>>>>>>
>>>>>>
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>>>>>>
>>>>>
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>>>>>
>>>>
>>>>
>>>> --
>>>> Guillaume Lemaitre
>>>> INRIA Saclay - Ile-de-France
>>>> Equipe PARIETAL
>>>> guillaume.lemaitre at inria.f <guillaume.lemaitre at inria.fr>r ---
>>>> https://glemaitre.github.io/
>>>>
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