<div dir="ltr"><span style="font-size:12.8px">Hello Marcus and Ryan,</span><br style="font-size:12.8px"><br style="font-size:12.8px"><span style="font-size:12.8px">I am working on the first idea - Implement tree types. I went through the archive mails, followed the instructions provided there.</span><br style="font-size:12.8px"><br style="font-size:12.8px"><span style="font-size:12.8px">Following are the things I worked on till now - </span><div style="font-size:12.8px">1. Building of MLPack.</div><div style="font-size:12.8px">2. Going through the library of MLPack and using the already implemented algorithms through command line.<br>3. Having a sound knowledge of the paper "Tree-Independent Dual-Tree Algorithms". Since I have a good command over data structures and algorithms, I understood the concept of space trees and the way it is used in implementing algorithms like k-nearest neighbors, range search etc as explained in the paper. I have qualified for various algorithmic competitions so understanding various trees and its implementation won't be a problem as I have used many trees algorithms before.<br><br></div><div style="font-size:12.8px">Currently, I am going through the codes of the already implemented tree types in src/mlpack/core/tree/ as the new algorithms would be based on the same template and style. Could you specify any tree type I should start reading about?</div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px">While I am very interested in the previously mentioned project, I am also eager to work on Decision trees' and 'Fast k-centers algorithms and its implementation'. <br><br>Is there any work/reading that you think I should do in order to be better prepared to write a good proposal for GSOC 2016.<br><br></div><div style="font-size:12.8px"><br>I appreciate the documentation of MLPack. It is well written and systematic. :) <br> <br>Regards,<br>Parijat Dewangan</div><div style="font-size:12.8px">+91 - 9966756771</div><div style="font-size:12.8px"><br></div><div class="gmail_extra"><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div><div class="gmail_extra"><br><div class="gmail_quote">On Fri, Mar 4, 2016 at 6:45 PM, Parijat Dewangan <span dir="ltr"><<a href="mailto:parijat10@gmail.com" target="_blank">parijat10@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex"><div dir="ltr">Thanks for the reply. Please do tell me if you want to know about my major project more.<br><br>Working on MLpack. I ll update you soon.<span><font color="#888888"><br><br>Parijat</font></span></div><div><div><div class="gmail_extra"><br><div class="gmail_quote">On Fri, Mar 4, 2016 at 6:42 PM, Marcus Edel <span dir="ltr"><<a href="mailto:marcus.edel@fu-berlin.de" target="_blank">marcus.edel@fu-berlin.de</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">Hello Parijat,<br>
<br>
the project face verification using unbiased learning sounds interesting, I<br>
worked on a similar project some time ago.<br>
<br>
Anyway, there's been some talk about this project in other threads on the<br>
mailing list. Here is a link (be sure to take a look at the replies):<br>
<br>
<a href="https://mailman.cc.gatech.edu/pipermail/mlpack/2016-March/000790.html" rel="noreferrer" target="_blank">https://mailman.cc.gatech.edu/pipermail/mlpack/2016-March/000790.html</a><br>
<br>
If you have other questions, feel free to ask. Hopefully the link I<br>
gave will answer most of them.<br>
<br>
Thanks,<br>
Marcus<br>
<div><div><br>
> On 04 Mar 2016, at 12:12, Parijat Dewangan <<a href="mailto:parijat10@gmail.com" target="_blank">parijat10@gmail.com</a>> wrote:<br>
><br>
> Hello,<br>
><br>
> I am Parijat Dewangan, a 3rd year undergraduate of IIIT Hyderabad.<br>
><br>
> I have always found ML very interesting. I have studied and coded many approaches of classification like KNN, PCA, LDA and many more. One of many major project include face verification using unbiased learning.<br>
><br>
> I have installed mlpack and going through the tutorials. I'll update you soon about any progress.<br>
><br>
> I have a very strong understanding of the fundamental concepts of data structures and algorithms. As I take part in competitive programming regularly, I have knowledge about various trees and its implementation.<br>
><br>
> My skills are C, C++, Python.<br>
><br>
> I am interested in the project 'Implement tree types'. Can someone please guide me through the project ?<br>
><br>
> Thank you<br>
><br>
> Parijat Dewangan<br>
> BTech & MS in ECE<br>
> IIIT Hyderabad<br>
</div></div>> _______________________________________________<br>
> mlpack mailing list<br>
> <a href="mailto:mlpack@cc.gatech.edu" target="_blank">mlpack@cc.gatech.edu</a><br>
> <a href="https://mailman.cc.gatech.edu/mailman/listinfo/mlpack" rel="noreferrer" target="_blank">https://mailman.cc.gatech.edu/mailman/listinfo/mlpack</a><br>
<br>
</blockquote></div><br></div>
</div></div></blockquote></div><br></div></div></div></div>
</blockquote></div><br></div></div>