weka.classifiers.functions.supportVector.Kernel.java Source code

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/*
 *   This program is free software: you can redistribute it and/or modify
 *   it under the terms of the GNU General Public License as published by
 *   the Free Software Foundation, either version 3 of the License, or
 *   (at your option) any later version.
 *
 *   This program is distributed in the hope that it will be useful,
 *   but WITHOUT ANY WARRANTY; without even the implied warranty of
 *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *   GNU General Public License for more details.
 *
 *   You should have received a copy of the GNU General Public License
 *   along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */

/*
 *    Kernel.java
 *    Copyright (C) 1999-2012 University of Waikato, Hamilton, New Zealand
 *
 */

package weka.classifiers.functions.supportVector;

import java.io.Serializable;
import java.util.Enumeration;
import java.util.Vector;

import weka.core.Capabilities;
import weka.core.CapabilitiesHandler;
import weka.core.Copyable;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.Option;
import weka.core.OptionHandler;
import weka.core.RevisionHandler;
import weka.core.RevisionUtils;
import weka.core.SerializedObject;
import weka.core.Utils;
import weka.gui.ProgrammaticProperty;

/**
 * Abstract kernel. Kernels implementing this class must respect Mercer's
 * condition in order to ensure a correct behaviour of SMOreg.
 * 
 * @author Eibe Frank (eibe@cs.waikato.ac.nz)
 * @author FracPete (fracpete at waikato dot ac dot nz)
 * @version $Revision$
 */
public abstract class Kernel implements Serializable, OptionHandler, CapabilitiesHandler, RevisionHandler {

    /** for serialization */
    private static final long serialVersionUID = -6102771099905817064L;

    /** The dataset */
    protected Instances m_data;

    /** enables debugging output */
    protected boolean m_Debug = false;

    /** This value is now ignored. Checks are always turned off as they are the responsibility
     * of the class using the kernel. We are keeping this to allow deserialization. */
    protected boolean m_ChecksTurnedOff = false;

    /** This value is now ignored. Checks are always turned off as they are the responsibility
     * of the class using the kernel. We are keeping this to allow deserialization. */
    protected boolean m_DoNotCheckCapabilities = false;

    /**
     * These methods remain for backwards compatibility. The first one does nothing, the second one
     * always returns true. Checking capabilities is the responsibility of the class using the kernel.
     */
    @ProgrammaticProperty
    public void setDoNotCheckCapabilities(boolean doNotCheckCapabilities) {
    }

    public boolean getDoNotCheckCapabilities() {
        return true;
    }

    /**
     * Returns a string describing the kernel
     * 
     * @return a description suitable for displaying in the explorer/experimenter
     *         gui
     */
    public abstract String globalInfo();

    /**
     * Computes the result of the kernel function for two instances. If id1 == -1,
     * eval use inst1 instead of an instance in the dataset.
     * 
     * @param id1 the index of the first instance in the dataset
     * @param id2 the index of the second instance in the dataset
     * @param inst1 the instance corresponding to id1 (used if id1 == -1)
     * @return the result of the kernel function
     * @throws Exception if something goes wrong
     */
    public abstract double eval(int id1, int id2, Instance inst1) throws Exception;

    /**
     * Frees the memory used by the kernel. (Useful with kernels which use cache.)
     * This function is called when the training is done. i.e. after that, eval
     * will be called with id1 == -1.
     */
    public abstract void clean();

    /**
     * Returns the number of kernel evaluation performed.
     * 
     * @return the number of kernel evaluation performed.
     */
    public abstract int numEvals();

    /**
     * Returns the number of dot product cache hits.
     * 
     * @return the number of dot product cache hits, or -1 if not supported by
     *         this kernel.
     */
    public abstract int numCacheHits();

    /**
     * Returns an enumeration describing the available options.
     * 
     * @return an enumeration of all the available options.
     */
    @Override
    public Enumeration<Option> listOptions() {
        Vector<Option> result = Option.listOptionsForClassHierarchy(this.getClass(), Kernel.class);

        result.addElement(
                new Option("\tEnables debugging output (if available) to be printed.\n" + "\t(default: off)",
                        "output-debug-info", 0, "-output-debug-info"));

        return result.elements();
    }

    /**
     * Parses a given list of options.
     * <p/>
     * 
     * @param options the list of options as an array of strings
     * @throws Exception if an option is not supported
     */
    @Override
    public void setOptions(String[] options) throws Exception {
        Option.setOptionsForHierarchy(options, this, Kernel.class);

        setDebug(Utils.getFlag("output-debug-info", options));

        // This one does nothing but remains for backwards compatibility
        setChecksTurnedOff(Utils.getFlag("no-checks", options));

        Utils.checkForRemainingOptions(options);
    }

    /**
     * Gets the current settings of the Kernel.
     * 
     * @return an array of strings suitable for passing to setOptions
     */
    @Override
    public String[] getOptions() {
        Vector<String> result = new Vector<String>();
        for (String s : Option.getOptionsForHierarchy(this, Kernel.class)) {
            result.add(s);
        }

        if (getDebug()) {
            result.add("-output-debug-info");
        }

        return result.toArray(new String[result.size()]);
    }

    /**
     * Enables or disables the output of debug information (if the derived kernel
     * supports that)
     * 
     * @param value whether to output debugging information
     */
    public void setDebug(boolean value) {
        m_Debug = value;
    }

    /**
     * Gets whether debugging output is turned on or not.
     * 
     * @return true if debugging output is produced.
     */
    public boolean getDebug() {
        return m_Debug;
    }

    /**
     * Returns the tip text for this property
     * 
     * @return tip text for this property suitable for displaying in the
     *         explorer/experimenter gui
     */
    public String debugTipText() {
        return "Turns on the output of debugging information.";
    }

    /**
     * These methods remain for backwards compatibility. The first one does nothing, the second one
     * always returns true. Checking capabilities is the responsibility of the class using the kernel.
     */
    @ProgrammaticProperty
    public void setChecksTurnedOff(boolean value) {
    }

    public boolean getChecksTurnedOff() {
        return true;
    }

    /**
     * initializes variables etc.
     * 
     * @param data the data to use
     */
    protected void initVars(Instances data) {
        m_data = data;
    }

    /**
     * Returns the Capabilities of this kernel. Derived kernels have to override
     * this method to enable capabilities.
     * 
     * @return the capabilities of this object
     * @see Capabilities
     */
    @Override
    public Capabilities getCapabilities() {
        Capabilities result = new Capabilities(this);
        result.enableAll();

        return result;
    }

    /**
     * Returns the revision string.
     * 
     * @return the revision
     */
    @Override
    public String getRevision() {
        return RevisionUtils.extract("$Revision$");
    }

    /**
     * builds the kernel with the given data
     * 
     * @param data the data to base the kernel on
     * @throws Exception if something goes wrong
     */
    public void buildKernel(Instances data) throws Exception {

        initVars(data);
    }

    /**
     * Creates a shallow copy of the kernel (if it implements Copyable) otherwise
     * a deep copy using serialization.
     * 
     * @param kernel the kernel to copy
     * @return a shallow or deep copy of the kernel
     * @throws Exception if an error occurs
     */
    public static Kernel makeCopy(Kernel kernel) throws Exception {
        if (kernel instanceof Copyable) {
            return (Kernel) ((Copyable) kernel).copy();
        }
        return (Kernel) new SerializedObject(kernel).getObject();
    }

    /**
     * Creates a given number of deep or shallow (if the kernel implements
     * Copyable) copies of the given kernel using serialization.
     * 
     * @param model the kernel to copy
     * @param num the number of kernel copies to create.
     * @return an array of kernels.
     * @throws Exception if an error occurs
     */
    public static Kernel[] makeCopies(Kernel model, int num) throws Exception {
        if (model == null) {
            throw new Exception("No model kernel set");
        }

        Kernel[] kernels = new Kernel[num];
        if (model instanceof Copyable) {
            for (int i = 0; i < kernels.length; i++) {
                kernels[i] = (Kernel) ((Copyable) model).copy();
            }
        } else {
            SerializedObject so = new SerializedObject(model);
            for (int i = 0; i < kernels.length; i++) {
                kernels[i] = (Kernel) so.getObject();
            }
        }

        return kernels;
    }

    /**
     * Creates a new instance of a kernel given it's class name and (optional)
     * arguments to pass to it's setOptions method.
     * 
     * @param kernelName the fully qualified class name of the classifier
     * @param options an array of options suitable for passing to setOptions. May
     *          be null.
     * @return the newly created classifier, ready for use.
     * @throws Exception if the classifier name is invalid, or the options
     *           supplied are not acceptable to the classifier
     */
    public static Kernel forName(String kernelName, String[] options) throws Exception {

        return (Kernel) Utils.forName(Kernel.class, kernelName, options);
    }
}