mdp.utils.DelayCovarianceMatrix:
This class stores an empirical covariance matrix between the signal and
time delayed signal that can be updated incrementally.
mdp.Flow:
A 'Flow' is a sequence of nodes that are trained and executed
together to form a more complex algorithm.
mdp.CheckpointFlow:
Subclass of Flow class that allows user-supplied checkpoint functions
to be executed at the end of each phase, for example to
save the internal structures of a node for later analysis.
mdp.nodes._OneDimensionalHitParade:
Class to produce hit-parades (i.e., a list of the largest
and smallest values) out of a one-dimensional time-series.
mdp.Node.__metaclass__:
This Metaclass is meant to overwrite doc strings of methods like
execute, stop_training, inverse with the ones defined in the corresponding
private methods _execute, _stop_training, _inverse, etc...