How to use

getLossFunction

method

in

weka.classifiers.functions.SGD

/**
 * Gets the current settings of the classifier.
 * 
 * @return an array of strings suitable for passing to setOptions
 */
@Override
public String[] getOptions() {
 ArrayList<String> options = new ArrayList<String>();
 options.add("-F");
 options.add("" + getLossFunction().getSelectedTag().getID());
 options.add("-L");
 options.add("" + getLearningRate());
 options.add("-R");
 options.add("" + getLambda());
 options.add("-E");
 options.add("" + getEpochs());
 options.add("-C");
 options.add("" + getEpsilon());
 if (getDontNormalize()) {
  options.add("-N");
 }
 if (getDontReplaceMissing()) {
  options.add("-M");
 }
 Collections.addAll(options, super.getOptions());
 
 return options.toArray(new String[1]);
}

/**
 * Gets the current settings of the classifier.
 * 
 * @return an array of strings suitable for passing to setOptions
 */
@Override
public String[] getOptions() {
 ArrayList<String> options = new ArrayList<String>();
 options.add("-F");
 options.add("" + getLossFunction().getSelectedTag().getID());
 options.add("-L");
 options.add("" + getLearningRate());
 options.add("-R");
 options.add("" + getLambda());
 options.add("-E");
 options.add("" + getEpochs());
 options.add("-C");
 options.add("" + getEpsilon());
 if (getDontNormalize()) {
  options.add("-N");
 }
 if (getDontReplaceMissing()) {
  options.add("-M");
 }
 Collections.addAll(options, super.getOptions());
 
 return options.toArray(new String[1]);
}