[mlpack] Student looking to contribute to mlpack

Rohit Shinde rohit.shinde12194 at gmail.com
Fri Apr 10 22:43:54 EDT 2015


Hi,
I am trying to run a test example for mlpack. I used this command:

g++ -lmlpack test.cpp -std=c++11

And I got the following error as output:
In file included from /usr/local/include/mlpack/core.hpp:165:0,
                 from test.cpp:1:
/usr/local/include/mlpack/core/util/save_restore_utility.hpp:19:27: fatal
error: libxml/parser.h: No such file or directory
 #include <libxml/parser.h>
                           ^
compilation terminated.

I have installed libxml. Why am I getting this error?

On Fri, Apr 10, 2015 at 11:40 PM, Ajinkya Kale <kaleajinkya at gmail.com>
wrote:

> Hi Rohit,
>
> Good place to start http://www.mlpack.org/involved.html
>
> On Fri, Apr 10, 2015 at 9:29 AM Rohit Shinde <rohit.shinde12194 at gmail.com>
> wrote:
>
>> Hello everyone,
>>
>> I am a final year student of Computer Science from India. I study at the
>> "Vishwakarma Institute of Technology" in Pune. I am interested in various
>> areas under Machine Learning and Aritificial Intelligence. I have a
>> theoretical background in both these subjects and a limited experience of
>> some projects in these fields. I also tried to build a Chess program using
>> AI techniques. It is in progress right now and I dedicate time to it as and
>> when possible. I programmed a small application using backpropagation to
>> classify one of the data sets on the UCI dataset repository. It wasn't very
>> succesful but it gave me some exposure to neural networks. I have also been
>> exposed to Data Mining, so I do know of other algorithms like KNN, SVM and
>> K-Medoids and others.
>>
>> I have programmed using Python, Java and C++. I am very proficient in all
>> these three languages. I have done all my mini as well as major projects in
>> these languages and so I have a lot of programming experience in these
>> languages.
>>
>> My interest in mlpack stems from my interest in machine learning and
>> artificial intelligence related things. I would certainly like to learn the
>> advanced techniques used in machine learning . I will build mlpack and get
>> mlpack to run in a day or two.
>>
>> I have also seen the GSoC ideas page on GitHub. Is it okay if I jump
>> right in and choose a project of my interest?
>>
>> How can I contribute to this library?
>>
>> Thank you,
>> Rohit Shinde
>> _______________________________________________
>> mlpack mailing list
>> mlpack at cc.gatech.edu
>> https://mailman.cc.gatech.edu/mailman/listinfo/mlpack
>>
>
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