[mlpack] Student looking to contribute to mlpack

[Rohit Shinde]

No no! The original link which I pasted in an earlier mail. That's what I
was talking about. Your link works perfectly fine.

On 6:10AM, Sun 12-Apr-2015 Ajinkya Kale <kaleajinkya at gmail.com> wrote:

> The link I sent still redirects you to svn ?
>
> On Sat, Apr 11, 2015 at 5:39 PM Rohit Shinde <rohit.shinde12194 at gmail.com>
> wrote:
>
>> Yes! I think maybe that link redirected it to an svn repository which is
>> why I couldn't access it.
>>
>> On 6:08AM, Sun 12-Apr-2015 Ajinkya Kale <kaleajinkya at gmail.com> wrote:
>>
>>> Are you looking for this
>>> https://github.com/mlpack/mlpack/blob/master/src/mlpack/core/tree/example_tree.hpp
>>> ?
>>>
>>> On Sat, Apr 11, 2015 at 9:10 AM Rohit Shinde <
>>> rohit.shinde12194 at gmail.com> wrote:
>>>
>>>> By the way, I was looking at the tree types project and there was a
>>>> link to the tree API on the GitHub page. However, I am not able to access
>>>> that link because I do not have viewing permission. This is the link
>>>> http://www.mlpack.org/trac/browser/trunk/src/mlpack/core/tree/example_tree.hpp
>>>>
>>>> I would like to see the API.
>>>>
>>>> On Sat, Apr 11, 2015 at 9:17 PM, Rohit Shinde <
>>>> rohit.shinde12194 at gmail.com> wrote:
>>>>
>>>>> On Sat, Apr 11, 2015 at 9:02 PM, Ryan Curtin <ryan at ratml.org> wrote:
>>>>>
>>>>>> On Sat, Apr 11, 2015 at 08:53:22PM +0530, Rohit Shinde wrote:
>>>>>> > Yes, it does work.  I had tried this earlier, but i had put the
>>>>>> std=c++11
>>>>>> > at the end. So it again gave me many errors. Why does changing the
>>>>>> order of
>>>>>> > options in the command remove errors?
>>>>>>
>>>>>> Are you sure that you specified '-std=c++11' and not 'std=c++11'?  I
>>>>>> have not seen the location of the -std=c++11 affect compilation
>>>>>> results,
>>>>>> but the ordering of some of the other options (linking -- -L and -l,
>>>>>> and
>>>>>> include directories -- -I) can make a difference.
>>>>>>
>>>>> Yes, I am pretty sure. However, it does not give an error now. I dunno
>>>>> why.
>>>>>
>>>>>>
>>>>>> > Now that I have got familiar with mlpack, I would like to
>>>>>> contribute to
>>>>>> > some code. I was looking at some project ideas. And I am interested
>>>>>> in
>>>>>> > these two:
>>>>>> >
>>>>>> https://github.com/mlpack/mlpack/wiki/SummerOfCodeIdeas#essential-deep-learning-modules
>>>>>> >
>>>>>> https://github.com/mlpack/mlpack/wiki/SummerOfCodeIdeas#implement-tree-types
>>>>>> >
>>>>>> > How could I get started in these two projects?
>>>>>>
>>>>>> I can't speak much towards the deep learning project, but I'm happy to
>>>>>> help with the tree types project.  A lot of algorithms in mlpack use
>>>>>> different types of trees (or spatial indexing structures) to solve
>>>>>> problems; some examples are the kd-tree, the ball tree, the cover
>>>>>> tree,
>>>>>> and so forth.
>>>>>
>>>>> Which trees do you suggest I implement? There are random projection
>>>>>> trees, Bregman trees, UB trees, R+ trees, Hilbert trees, X trees, segment
>>>>>> trees, interval trees and range trees. Which one do you suggest I
>>>>>> implement?
>>>>>>
>>>>> In general, these algorithms are written in such a way that the type of
>>>>>> tree is a template parameter:
>>>>>>
>>>>>> template<typename TreeType>
>>>>>> class MachineLearningAlgorithm
>>>>>> {
>>>>>>   ...
>>>>>> };
>>>>>>
>>>>>> and as a result, you can implement new types of trees, and if they
>>>>>> satisfy the correct API, you can plug them in as 'TreeType'.
>>>>>>
>>>>>> Probably a good place to start is to look through the existing code in
>>>>>> src/mlpack/core/tree/ and understand the trees that are already there
>>>>>> (don't worry too much about the details of the CoverTree class: it's
>>>>>> insanely complex; just the general structure and API of the trees is
>>>>>> what matters).  Then you can pick a new type of tree and start
>>>>>> implementing that.
>>>>>
>>>>>
>>>>> Which trees do you suggest I implement? There are random projection
>>>>> trees, Bregman trees, UB trees, R+ trees, Hilbert trees, X trees, segment
>>>>> trees, interval trees and range trees. Which one do you suggest I
>>>>> implement?
>>>>>
>>>>>   When you have something written, we can test it by
>>>>>> writing some unit tests and plugging it into existing mlpack methods
>>>>>> and
>>>>>> seeing if they still work.
>>>>>>
>>>>>> Here are some links to previous mailing list postings that may be
>>>>>> helpful:
>>>>>>
>>>>>>
>>>>>> https://mailman.cc.gatech.edu/pipermail/mlpack/2015-January/000545.html
>>>>>> https://mailman.cc.gatech.edu/pipermail/mlpack/2014-March/000273.html
>>>>>> https://mailman.cc.gatech.edu/pipermail/mlpack/2014-March/000273.html
>>>>>>
>>>>>
>>>>>
>>>>>>
>>>>>> You can also look through the rest of the archives...
>>>>>>
>>>>>> https://mailman.cc.gatech.edu/pipermail/mlpack/2014-March/000273.html
>>>>>>
>>>>>> If I can clarify anything or help out, please let me know.
>>>>>>
>>>>>> Thanks!
>>>>>>
>>>>>> Ryan
>>>>>>
>>>>>> --
>>>>>> Ryan Curtin    | "Weeee!"
>>>>>> ryan at ratml.org |   - Bobby
>>>>>>
>>>>>
>>>>>
>>>> _______________________________________________
>>>> mlpack mailing list
>>>> mlpack at cc.gatech.edu
>>>> https://mailman.cc.gatech.edu/mailman/listinfo/mlpack
>>>>
>>>
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