/** * Gets the current settings of the classifier. * * @return an array of strings suitable for passing to setOptions */ @Override public String[] getOptions() { Vector<String> result = new Vector<String>(); result.add("-N"); result.add("" + m_filterType); Collections.addAll(result, super.getOptions()); return result.toArray(new String[result.size()]); }
/** * Gets the current settings of the Classifier. * * @return an array of strings suitable for passing to setOptions */ @Override public String[] getOptions() { Vector<String> result = new Vector<String>(); if (getUsingCutOff()) { result.add("-C"); } result.add("-R"); result.add("" + getNumRuns()); Collections.addAll(result, super.getOptions()); return result.toArray(new String[result.size()]); }
/** * Gets the current settings of the Classifier. * * @return an array of strings suitable for passing to setOptions */ @Override public String[] getOptions() { Vector<String> result = new Vector<String>(); if (getUsingCutOff()) { result.add("-C"); } result.add("-R"); result.add("" + getNumRuns()); Collections.addAll(result, super.getOptions()); return result.toArray(new String[result.size()]); }
/** * Gets the current settings of the classifier. * * @return an array of strings suitable for passing to setOptions */ @Override public String[] getOptions() { java.util.Vector<String> result = new java.util.Vector<String>(); result.addElement("-L"); result.addElement("" + getNoise()); result.addElement("-N"); result.addElement("" + m_filterType); result.addElement("-K"); result.addElement("" + m_kernel.getClass().getName() + " " + Utils.joinOptions(m_kernel.getOptions())); Collections.addAll(result, super.getOptions()); return result.toArray(new String[result.size()]); }
/** * Gets the current settings of the classifier. * * @return an array of strings suitable for passing to setOptions */ @Override public String[] getOptions() { java.util.Vector<String> result = new java.util.Vector<String>(); result.addElement("-L"); result.addElement("" + getNoise()); result.addElement("-N"); result.addElement("" + m_filterType); result.addElement("-K"); result.addElement("" + m_kernel.getClass().getName() + " " + Utils.joinOptions(m_kernel.getOptions())); Collections.addAll(result, super.getOptions()); return result.toArray(new String[result.size()]); }
/** * returns the options of the current setup * * @return the current options */ @Override public String[] getOptions() { Vector<String> result = new Vector<String>(); result.add("-filter"); if (getFilter() instanceof OptionHandler) { result.add(getFilter().getClass().getName() + " " + Utils.joinOptions(((OptionHandler) getFilter()).getOptions())); } else { result.add(getFilter().getClass().getName()); } Collections.addAll(result, super.getOptions()); return result.toArray(new String[result.size()]); }
/** * Gets the current settings of the Classifier. * * @return an array of strings suitable for passing to setOptions */ @Override public String[] getOptions() { Vector<String> result = new Vector<String>(); result.add("-K"); result.add("" + m_kBEPPConstant); if (getL()) { result.add("-L"); } if (getUnbiasedEstimate()) { result.add("-U"); } if (getB()) { result.add("-B"); } result.add("-Ba"); result.add("" + m_bagInstanceMultiplier); result.add("-M"); result.add("" + m_SplitMethod); result.add("-A"); result.add("" + m_AttributesToSplit); result.add("-An"); result.add("" + m_AttributeSplitChoices); Collections.addAll(result, super.getOptions()); return result.toArray(new String[result.size()]); }
/** * 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]); }
Collections.addAll(classifierOptions, super.getOptions()); Option.deleteOptionString(classifierOptions, "-S"); result.addAll(classifierOptions);
Collections.addAll(options, super.getOptions());
Collections.addAll(options, super.getOptions());
Collections.addAll(options, super.getOptions());
Collections.addAll(options, super.getOptions());