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PyMTL

PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-learn, SciPy and NumPy. It is licensed under the GNU General Public License version, either version 3 of the License, or (at your option) any later version.

It was started in 2011 by Tadej Janež for the purposes of his PhD thesis on discovering clusters of related learning tasks for improving prediction models of individual tasks.

It implements an extended version of the ERM (Error-reduction merging) multi-task learning method published by Tadej Janež et al. in International Journal of Advanced Robotic Systems (IJARS) <http://cdn.intechopen.com/pdfs/43887/InTech-Learning_faster_by_discovering_and_exploiting_object_similarities.pdf>_.

Dependencies

PyMTL is tested to work under Python 2.7 (currently, there are no plans to support Python 3).

It has the following dependencies:

• NumPy >= 1.3
• SciPy >= 0.7
• scikit-learn >= 0.14
• Orange == 2.5 alpha 1
• Matplotlib >= 0.99.1
• SymPy >= 0.7.3

Install

Source

GIT

Check out the latest sources with the command::

    git clone git://github.com/tjanez/PyMTL.git

or if you have write privileges::

    git clone git@github.com:tjanez/PyMTL.git

Running
=======

Go to PyMTL's base directory and execute::

  python src/test.py

To change which experiment should run, edit the ``src/test.py`` file and change the value of the ``test_config`` variable.