Modular toolkit for Data Processing (MDP)ΒΆ

Note

09.03.2016

MDP 3.5 released! This is a bug-fix release

Note that from this release MDP is in maintenance mode. 13 years after its first public release, MDP has reached full maturity and no new features are planned in the future.

If you plan to do serious machine learning in Python, use sklearn. Note though that some algorithms, notably SFA and Growing Neural Gas, are only available in MDP. We would be happy to support the porting of these algorithms to sklearn!

MDP works equally well in Python 2 and Python 3. All code examples in the documentation are using Python 2 though.

Using MDP is as easy as:

>>> import mdp

>>> # perform PCA on some data x
>>> y = mdp.pca(x) 

>>> # perform ICA on some data x using single precision
>>> y = mdp.fastica(x, dtype='float32') 

To learn more about MDP, check out the documentation.