mlpy.mdp.discrete.DiscreteModel.fit

DiscreteModel.fit(obs, actions, labels=None)[source]

Fit the model to the observations and actions of the trajectory.

Parameters:

obs : array_like, shape (nfeatures, n)

Trajectory of observations, where each observation has nfeatures features and n is the length of the trajectory.

actions : array_like, shape (nfeatures, n)

Trajectory of actions, where each action has nfeatures features and n is the length of the trajectory.

labels : array_like, shape (n,)

Label identifying each step in the trajectory, where n is the length of the trajectory.