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).
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
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
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.