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 org.apache.samoa.instances.Instance; import org.apache.samoa.learners.classifiers.trees.SplitNode; import org.apache.samoa.moa.classifiers.core.conditionaltests.InstanceConditionalTest; import org.apache.samoa.moa.classifiers.rules.core.Predicate; import org.apache.samoa.moa.classifiers.rules.core.conditionaltests.NumericAttributeBinaryRulePredicate; /** * Represent a feature of rules (an element of ruleÅ› nodeList). * * @author Anh Thu Vu * */ public class RuleSplitNode extends SplitNode { protected double lastTargetMean; protected int operatorObserver; private static final long serialVersionUID = 1L; public InstanceConditionalTest getSplitTest() { return this.splitTest; } /** * Create a new RuleSplitNode */ public RuleSplitNode() { this(null, new double[0]); } public RuleSplitNode(InstanceConditionalTest splitTest, double[] classObservations) { super(splitTest, classObservations); } public RuleSplitNode getACopy() { InstanceConditionalTest splitTest = new NumericAttributeBinaryRulePredicate( (NumericAttributeBinaryRulePredicate) this.getSplitTest()); return new RuleSplitNode(splitTest, this.getObservedClassDistribution()); } public boolean evaluate(Instance instance) { Predicate predicate = (Predicate) this.splitTest; return predicate.evaluate(instance); } }