| 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 |
| } |
| } |