mlpy.mdp.continuous.casml.CASML.fit

CASML.fit(obs, actions, n_init=1, **kwargs)[source]

Fit the CaseBase and the HMM.

The model is fit to the observations and actions of the trajectory by updating the case base and the HMM.

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.

n_init : int, optional

Number of restarts to prevent the HMM from getting stuck in a local minimum. Default is 1.