weka.classifiers.SingleClassifierEnhancer.getOptions java code examples

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}

/**
 * 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("-M");
 result.add("" + m_TransformMethod);
 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
 */
public String [] getOptions() {
 Vector<String> options = new Vector<String>();
 
 options.add("-S");
 options.add("" + getSeed());
 Collections.addAll(options, super.getOptions());
 
 return options.toArray(new String[0]);
}

/**
 * Gets the current settings of the classifier.
 *
 * @return an array of strings suitable for passing to setOptions
 */
public String [] getOptions() {
 Vector<String> options = new Vector<String>();
 
 options.add("-S");
 options.add("" + getSeed());
 Collections.addAll(options, super.getOptions());
 
 return options.toArray(new String[0]);
}

/**
 * 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("-P");
 result.add("" + m_Method);
 result.add("-A");
 result.add("" + m_WeightMethod);
 Collections.addAll(result, super.getOptions());
 return result.toArray(new String[result.size()]);
}

/**
 * Gets the current settings of the filter.
 * 
 * @return an array of strings suitable for passing to setOptions
 */
@Override
public String[] getOptions() {
 Vector<String> options = new Vector<String>();
 options.add("-P");
 options.add("" + getPartitionGeneratorSpec());
 Collections.addAll(options, super.getOptions());
 return options.toArray(new String[0]);
}

/**
 * Gets the current settings of the classifier.
 *
 * @return an array of strings suitable for passing to setOptions
 */
public String [] getOptions() {
 String [] superOptions = super.getOptions();
 String [] options = new String [superOptions.length + 2];
 int current = 0;
 options[current++] = "-I";
 options[current++] = "" + getNumIterations();
 System.arraycopy(superOptions, 0, options, current,
   superOptions.length);
 return options;
}

/**
 * Gets the current settings of the classifier.
 *
 * @return an array of strings suitable for passing to setOptions
 */
public String [] getOptions() {
 String [] superOptions = super.getOptions();
 String [] options = new String [superOptions.length + 2];
 int current = 0;
 options[current++] = "-I";
 options[current++] = "" + getNumIterations();
 System.arraycopy(superOptions, 0, options, current,
   superOptions.length);
 return options;
}

/**
 * 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>(4);
 result.add("-R");
 result.add("" + getMaxIterations());
 result.add("-B");
 result.add("" + getDiscretizeBin());
 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
 */
public String [] getOptions() {
 Vector<String> options = new Vector<String>();
 // same attribute evaluator
 options.add("-E");
 options.add("" +getEvaluatorSpec());
 
 // same for search
 options.add("-S");
 options.add("" + getSearchSpec());
 Collections.addAll(options, super.getOptions());
 
 return options.toArray(new String[0]);
}

/**
 * Gets the current settings of the Classifier.
 *
 * @return an array of strings suitable for passing to setOptions
 */
public String [] getOptions() {
 Vector<String> options = new Vector<String>();
 // same attribute evaluator
 options.add("-E");
 options.add("" +getEvaluatorSpec());
 
 // same for search
 options.add("-S");
 options.add("" + getSearchSpec());
 Collections.addAll(options, super.getOptions());
 
 return options.toArray(new String[0]);
}

@Override
public String[] getOptions() {
 List<String> options = new ArrayList<String>();
 if (getPathToPreConstructedFilter() != null
  && getPathToPreConstructedFilter().length() > 0) {
  options.add("-load-filter");
  options.add(getPathToPreConstructedFilter());
 }
 String[] superOpts = super.getOptions();
 for (String s : superOpts) {
  options.add(s);
 }
 return options.toArray(new String[options.size()]);
}

/**
 * Gets the current settings of the classifier.
 *
 * @return an array of strings suitable for passing to setOptions
 */
public String [] getOptions() {
 Vector<String> options = new Vector<String>();
 options.add("-U"); options.add("" + getWeightingKernel());
 if ( (getKNN() == 0) && m_UseAllK) {
   options.add("-K"); options.add("-1");
 }
 else {
   options.add("-K"); options.add("" + getKNN());
 }
 options.add("-A");
 options.add(m_NNSearch.getClass().getName()+" "+Utils.joinOptions(m_NNSearch.getOptions()));; 
 Collections.addAll(options, super.getOptions());
 
 return options.toArray(new String[0]);
}

/**
 * Gets the current settings of the classifier.
 *
 * @return an array of strings suitable for passing to setOptions
 */
public String [] getOptions() {
 Vector<String> options = new Vector<String>();
 options.add("-U"); options.add("" + getWeightingKernel());
 if ( (getKNN() == 0) && m_UseAllK) {
   options.add("-K"); options.add("-1");
 }
 else {
   options.add("-K"); options.add("" + getKNN());
 }
 options.add("-A");
 options.add(m_NNSearch.getClass().getName()+" "+Utils.joinOptions(m_NNSearch.getOptions()));; 
 Collections.addAll(options, super.getOptions());
 
 return options.toArray(new String[0]);
}

/**
 * Gets the current settings of the Classifier.
 *
 * @return an array of strings suitable for passing to setOptions
 */
public String [] getOptions() {
 Vector<String> options = new Vector<String>();
 options.add("-B");
 options.add("" + getNumBins());
 if (getDeleteEmptyBins()) {
  options.add("-E");
 }
 if (getUseEqualFrequency()) {
  options.add("-F");
 }
 if (getMinimizeAbsoluteError()) {
  options.add("-A");
 }
 options.add("-K");
 if (getEstimator() instanceof OptionHandler) {
  options.add("" + getEstimator().getClass().getName() + " " + 
   Utils.joinOptions(((OptionHandler)getEstimator()).getOptions()));
 } else {
  options.add("" + getEstimator().getClass().getName());
 }
 Collections.addAll(options, super.getOptions());
 return options.toArray(new String[0]);
}

/**
 * Gets the current settings of the Classifier.
 *
 * @return an array of strings suitable for passing to setOptions
 */
public String [] getOptions() {
 Vector<String> options = new Vector<String>();
 options.add("-B");
 options.add("" + getNumBins());
 if (getDeleteEmptyBins()) {
  options.add("-E");
 }
 if (getUseEqualFrequency()) {
  options.add("-F");
 }
 if (getMinimizeAbsoluteError()) {
  options.add("-A");
 }
 options.add("-K");
 if (getEstimator() instanceof OptionHandler) {
  options.add("" + getEstimator().getClass().getName() + " " + 
   Utils.joinOptions(((OptionHandler)getEstimator()).getOptions()));
 } else {
  options.add("" + getEstimator().getClass().getName());
 }
 Collections.addAll(options, super.getOptions());
 return options.toArray(new String[0]);
}

/**
 * Gets the current settings of the Classifier.
 * 
 * @return an array of strings suitable for passing to setOptions
 */
@Override
public String[] getOptions() {
 String[] superOptions = super.getOptions();
 String[] options = new String[superOptions.length + 5];
 int current = 0;
 if (getIgnoreCaseForNames()) {
  options[current++] = "-I";
 }
 if (getSuppressMappingReport()) {
  options[current++] = "-M";
 }
 if (getTrim()) {
  options[current++] = "-trim";
 }
 if (getModelPath() != null && getModelPath().length() > 0) {
  options[current++] = "-L";
  options[current++] = getModelPath();
 }
 System.arraycopy(superOptions, 0, options, current, superOptions.length);
 current += superOptions.length;
 while (current < options.length) {
  options[current++] = "";
 }
 return options;
}

/**
 * Gets the current settings of the Classifier.
 * 
 * @return an array of strings suitable for passing to setOptions
 */
@Override
public String[] getOptions() {
 String[] superOptions = super.getOptions();
 String[] options = new String[superOptions.length + 5];
 int current = 0;
 if (getIgnoreCaseForNames()) {
  options[current++] = "-I";
 }
 if (getSuppressMappingReport()) {
  options[current++] = "-M";
 }
 if (getTrim()) {
  options[current++] = "-trim";
 }
 if (getModelPath() != null && getModelPath().length() > 0) {
  options[current++] = "-L";
  options[current++] = getModelPath();
 }
 System.arraycopy(superOptions, 0, options, current, superOptions.length);
 current += superOptions.length;
 while (current < options.length) {
  options[current++] = "";
 }
 return options;
}

Javadoc

Gets the current settings of the Classifier.

Popular methods of SingleClassifierEnhancer

getCapabilities
Returns default capabilities of the base classifier.
listOptions
Returns an enumeration describing the available options.
setOptions
Parses a given list of options. Valid options are: -W classname Specify the full class name of the
setClassifier
Set the base learner.
defaultClassifierOptions
String describing options for default classifier.
defaultClassifierString
String describing default classifier.
getBatchSize
getClassifier
Get the classifier used as the base learner.
implementsMoreEfficientBatchPrediction
setBatchSize
distributionsForInstances

distributionsForInstances

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How to use getOptionsmethodin weka.classifiers.SingleClassifierEnhancer

Best Java code snippets using weka.classifiers.SingleClassifierEnhancer.getOptions (Showing top 17 results out of 315)

How to use
getOptions
method
in
weka.classifiers.SingleClassifierEnhancer