blob: afb5b4ec140bc12a9693492f282c66c62dd89c50 [file] [log] [blame]
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);
}
}