Module es.upm.fi.cig.multictbnc
Package es.upm.fi.cig.multictbnc.conceptdriftdetection
package es.upm.fi.cig.multictbnc.conceptdriftdetection
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ClassDescriptionThis class provides a method to compute the average local log-likelihood of each node of a Multi-CTBNC.Abstract class representing a concept drift adaptive method.This class implements a concept drift adaptive method that operates globally on a MultiCTBNC model.This class implements a concept drift adaptive method that operates locally on each node of a MultiCTBNC model.Interface representing scores that can be computed locally on each node of a MultiCTBNC and used to detect concept drifts in a given data batch.Implements the Page Hinkley Test for concept drift detection.