public void forget() {
super.forget();
this.opinions.clear();
this.stereotypeRatingCache.clear();
this.ratings.clear();
this.evidence.clear();
this.learner = new TwoStageLearner(clusters, true);
}
/**
* We need to check when adding experiences whether the L limit has been reached. Every time an
* experience is added, we move on towards L because we know a delegation has been made.
*/
@Override
public void addExperience(Experience e) {
super.addExperience(e);
// figure out if we should reproduce the clusters and classifier
// if we should:
if (intervalRemaining <= 0) {
learner.train(this.opinions);
// reset counter and base rate cache
intervalRemaining = learningInterval;
} else intervalRemaining--; // otherwise, decrement and continue
// record the error at this point
if (learner.isReady()) errors.add(learner.getErrorRate());
else errors.add(1.0); // if we haven't got the model ready, then add full
// error
}
