net.sourceforge.jabm.learning
Interface Learner

All Known Subinterfaces:

ContinuousLearner, DiscreteLearner, MDPLearner, MimicryLearner, StimuliResponseLearner

All Known Implementing Classes:

AbstractLearner, DumbLearner, DumbRandomLearner, MetaLearner, NPTRothErevLearner, QLearner, RothErevLearner, SlidingWindowLearner, StatelessQLearner, WidrowHoffLearner, WidrowHoffLearnerWithMomentum

public interface Learner

Classes implementing this interface indicate that they implement a learning algorithm.

Method Summary

void	dumpState(DataWriter out) Write out our state data to the specified data writer.
double	getLearningDelta() Return a value indicative of the amount of learning that occured during the last iteration.
void	monitor() A hook to provide monitoring functionality.

Method Detail

getLearningDelta

double getLearningDelta()

Return a value indicative of the amount of learning that occured during the last iteration. Values close to 0.0 indicate that the learner has converged to an equilibrium state.

Returns:

A double representing the amount of learning that occured.

dumpState

void dumpState(DataWriter out)

Write out our state data to the specified data writer.

monitor

void monitor()

A hook to provide monitoring functionality. Implementations of learning algorithms should either log, or provide a visualisation of, their state in response to this method.