[mlpack] Student looking to contribute to mlpack

[Ajinkya Kale]

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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