Example usage for weka.classifiers.functions.supportVector Kernel forName

Introduction

In this page you can find the example usage for weka.classifiers.functions.supportVector Kernel forName.

Prototype

public static Kernel forName(String kernelName, String[] options) throws Exception 

Source Link

Document

Creates a new instance of a kernel given it's class name and (optional) arguments to pass to it's setOptions method.

Usage

From source file:SMO.java

License:Open Source License

/**
 * Parses a given list of options. <p/>
 *
 <!-- options-start -->/*from   ww w.  j a v a2  s  .  c om*/
 * Valid options are: <p/>
 * 
 * <pre> -D
 *  If set, classifier is run in debug mode and
 *  may output additional info to the console</pre>
 * 
 * <pre> -no-checks
 *  Turns off all checks - use with caution!
 *  Turning them off assumes that data is purely numeric, doesn't
 *  contain any missing values, and has a nominal class. Turning them
 *  off also means that no header information will be stored if the
 *  machine is linear. Finally, it also assumes that no instance has
 *  a weight equal to 0.
 *  (default: checks on)</pre>
 * 
 * <pre> -C &lt;double&gt;
 *  The complexity constant C. (default 1)</pre>
 * 
 * <pre> -N
 *  Whether to 0=normalize/1=standardize/2=neither. (default 0=normalize)</pre>
 * 
 * <pre> -L &lt;double&gt;
 *  The tolerance parameter. (default 1.0e-3)</pre>
 * 
 * <pre> -P &lt;double&gt;
 *  The epsilon for round-off error. (default 1.0e-12)</pre>
 * 
 * <pre> -M
 *  Fit logistic models to SVM outputs. </pre>
 * 
 * <pre> -V &lt;double&gt;
 *  The number of folds for the internal
 *  cross-validation. (default -1, use training data)</pre>
 * 
 * <pre> -W &lt;double&gt;
 *  The random number seed. (default 1)</pre>
 * 
 * <pre> -K &lt;classname and parameters&gt;
 *  The Kernel to use.
 *  (default: weka.classifiers.functions.supportVector.PolyKernel)</pre>
 * 
 * <pre> 
 * Options specific to kernel weka.classifiers.functions.supportVector.PolyKernel:
 * </pre>
 * 
 * <pre> -D
 *  Enables debugging output (if available) to be printed.
 *  (default: off)</pre>
 * 
 * <pre> -no-checks
 *  Turns off all checks - use with caution!
 *  (default: checks on)</pre>
 * 
 * <pre> -C &lt;num&gt;
 *  The size of the cache (a prime number), 0 for full cache and 
 *  -1 to turn it off.
 *  (default: 250007)</pre>
 * 
 * <pre> -E &lt;num&gt;
 *  The Exponent to use.
 *  (default: 1.0)</pre>
 * 
 * <pre> -L
 *  Use lower-order terms.
 *  (default: no)</pre>
 * 
 <!-- options-end -->
 *
 * @param options the list of options as an array of strings
 * @throws Exception if an option is not supported 
 */
public void setOptions(String[] options) throws Exception {
    String tmpStr;
    String[] tmpOptions;

    setChecksTurnedOff(Utils.getFlag("no-checks", options));

    tmpStr = Utils.getOption('C', options);
    if (tmpStr.length() != 0)
        setC(Double.parseDouble(tmpStr));
    else
        setC(1.0);

    tmpStr = Utils.getOption('L', options);
    if (tmpStr.length() != 0)
        setToleranceParameter(Double.parseDouble(tmpStr));
    else
        setToleranceParameter(1.0e-3);

    tmpStr = Utils.getOption('P', options);
    if (tmpStr.length() != 0)
        setEpsilon(Double.parseDouble(tmpStr));
    else
        setEpsilon(1.0e-12);

    tmpStr = Utils.getOption('N', options);
    if (tmpStr.length() != 0)
        setFilterType(new SelectedTag(Integer.parseInt(tmpStr), TAGS_FILTER));
    else
        setFilterType(new SelectedTag(FILTER_NORMALIZE, TAGS_FILTER));

    setBuildLogisticModels(Utils.getFlag('M', options));

    tmpStr = Utils.getOption('V', options);
    if (tmpStr.length() != 0)
        setNumFolds(Integer.parseInt(tmpStr));
    else
        setNumFolds(-1);

    tmpStr = Utils.getOption('W', options);
    if (tmpStr.length() != 0)
        setRandomSeed(Integer.parseInt(tmpStr));
    else
        setRandomSeed(1);

    tmpStr = Utils.getOption('K', options);
    tmpOptions = Utils.splitOptions(tmpStr);
    if (tmpOptions.length != 0) {
        tmpStr = tmpOptions[0];
        tmpOptions[0] = "";
        setKernel(Kernel.forName(tmpStr, tmpOptions));
    }

    super.setOptions(options);
}

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