MDP 3.6 is released! After some years maintenance work, MDP development has started again at full throttle! In this release, the last one to support Python 2, you will find a new online training mode, many new nodes, and compatibility with the newest versions of numpy, scipy and scikit-learn. Some highlights: - Added online mode to enable use of MDP in reinforcement learning. - New nodes and flows: OnlineNode, OnlineFlow, CircularFlow, OnlineCenteringNode, OnlineTimeDiffNode, OnlineFlowNode, CircularOnlineFlowNode, OnlineLayer, CloneOnlineLayer, SameInputOnlineLayer, MCANode, CCIPCANode, IncSFANode. - Added SFA-based supervised learning, specifically graph based SFA nodes GSFANode and iGSFANode and hierarchical GSFA (HGSFA). - Added solvers to SFA-node that are robust against rank deficit in the covariance matrix. - Added a new family of expansion nodes, including Legendre, Hermite and Chebyshev polynomials. - VartimeSFANode supports SFA on data with non-constant time increments - Docs have moved to https://mdpdocs.readthedocs.io More details in the CHANGES file! If you are interested in MDP development, join us on the MDP mailing list: https://mail.python.org/mm3/mailman3/lists/mdp-toolkit.python.org