This library is outdated. We are working on new stuff currently in pylearn2 here: https://github.com/lisa-lab/pylearn2/
Pylearn is a Python library for machine learning, built on top of Theano, our library for defining, optimizing and evaluating mathematical expressions involving multi-dimensional arrays.
This documentation is under construction, but you can already access the automatically-generated API doc, along with more extensive explanations for some modules.
We recommend the latest development version, available via:
.. code-block:: bash
hg clone http://hg.assembla.com/pylearn Pylearn
Pylearn/pylearn subfolder contains the Python package and must
be made available to Python programs, for instance by adding the
root folder to your
PYTHONPATH environment varialble:
Assembla project: https://www.assembla.com/spaces/pylearn/
For the moment, the following documentation is available.
- Formulas – Built-in math formulas optimized for speed and robustness
- io.SeriesTables module – Saves error series and other statistics during training
- API – The automatically-generated API documentation
- V2 planning – Some documentation about the planning of our next version of pylearn.
You can download the latest PDF documentation, rather than reading it online.