edu.oregonstate.eecs.mcplan.ml.ClassifierSimilarityFunction.java Source code

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/* LICENSE
Copyright (c) 2013-2016, Jesse Hostetler (jessehostetler@gmail.com)
All rights reserved.
    
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modification, are permitted provided that the following conditions are met:
    
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   this list of conditions and the following disclaimer.
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   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.
    
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 
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/**
 * 
 */
package edu.oregonstate.eecs.mcplan.ml;

import weka.classifiers.Classifier;
import weka.core.Instance;
import weka.core.Instances;

/**
 * TODO: I *think* it is safe to re-use the same Instances object for multiple
 * different clients of the same SimilarityFunction. Remove this message after
 * you confirm or contradict this.
 * 
 * @author jhostetler
 */
public abstract class ClassifierSimilarityFunction implements SimilarityFunction {
    private final Classifier classifier_;

    // Need an Instances object to add Instance objects to before
    // classification.
    private final Instances dataset_;

    public ClassifierSimilarityFunction(final Classifier classifier, final Instances empty_dataset) {
        classifier_ = classifier;
        dataset_ = empty_dataset;
    }

    public abstract Instance makeFeatures(final double[] a, final double[] b);

    @Override
    public double similarity(final double[] a, final double[] b) {
        final Instance instance = makeFeatures(a, b);
        dataset_.add(instance);
        instance.setDataset(dataset_);
        double[] p;
        try {
            p = classifier_.distributionForInstance(instance);
        } catch (final Exception ex) {
            throw new RuntimeException(ex);
        }
        dataset_.remove(0);
        assert (p.length == 2);
        // p[1] = similar
        return p[1];
    }

}