package org.apache.samoa.learners.classifiers.rules.common; /* * #%L * SAMOA * %% * Copyright (C) 2014 - 2015 Apache Software Foundation * %% * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * #L% */ import java.util.LinkedList; /** * PassiveRule is a LearningRule that update its LearningNode with the received new LearningNode. * * @author Anh Thu Vu * */ public class PassiveRule extends LearningRule { /** * */ private static final long serialVersionUID = -5551571895910530275L; private RulePassiveRegressionNode learningNode; /* * Constructor to turn an ActiveRule into a PassiveRule */ public PassiveRule(ActiveRule rule) { this.nodeList = new LinkedList<>(); for (RuleSplitNode node : rule.nodeList) { this.nodeList.add(node.getACopy()); } this.learningNode = new RulePassiveRegressionNode(rule.getLearningNode()); this.ruleNumberID = rule.ruleNumberID; } @Override public RuleRegressionNode getLearningNode() { return this.learningNode; } @Override public void setLearningNode(RuleRegressionNode learningNode) { this.learningNode = (RulePassiveRegressionNode) learningNode; } /* * MOA GUI */ @Override public void getDescription(StringBuilder sb, int indent) { // TODO Auto-generated method stub } }