本文整理了Java中weka.classifiers.trees.J48.<init>()方法的一些代码示例，展示了J48.<init>()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。J48.<init>()方法的具体详情如下：
包路径：weka.classifiers.trees.J48
类名称：J48
方法名：<init>

J48.<init>介绍

暂无

代码示例

代码示例来源：origin: stackoverflow.com

J48 model=new J48(); 
model.buildClassifier(test);

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

/**
 * Default constructor.
 */
public RegressionByDiscretization() {
 m_Classifier = new weka.classifiers.trees.J48();
}

代码示例来源：origin: net.sf.meka.thirdparty/mulan

/**
 * Default constructor
 */
public EnsembleOfClassifierChains() {
  this(new J48(), 10, true, true);
}

代码示例来源：origin: net.sf.meka.thirdparty/mulan

/**
 * Default constructor using J48 as underlying classifier
 */
public CalibratedLabelRanking() {
  super(new J48());
}

代码示例来源：origin: net.sf.meka.thirdparty/mulan

/**
 * Default constructor
 */
public PrunedSets() {
  this(new J48(), 3, Strategy.A, 2);
}

代码示例来源：origin: net.sf.meka.thirdparty/mulan

/**
 * Creates a new instance using J48 as the underlying classifier
 */
public ClassifierChain() {
  super(new J48());
}

代码示例来源：origin: Waikato/weka-trunk

/**
 * Default constructor.
 */
public RegressionByDiscretization() {
 m_Classifier = new weka.classifiers.trees.J48();
}

代码示例来源：origin: Waikato/weka-trunk

/**
 * Default constructor.
 */
public AttributeSelectedClassifier() {
 m_Classifier = new weka.classifiers.trees.J48();
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

/**
 * Default constructor.
 */
public AttributeSelectedClassifier() {
 m_Classifier = new weka.classifiers.trees.J48();
}

代码示例来源：origin: net.sf.meka.thirdparty/mulan

/**
 * Default constructor. Can be used for accessing class utility methods.
 *
 */
public EnsembleOfSubsetLearners() {
  this(new BinaryRelevance(new J48()), new J48(), new ConditionalDependenceIdentifier(new J48()), 10);
}

代码示例来源：origin: net.sf.meka.thirdparty/mulan

/**
 * Default constructor
 */
public RAkELd() {
  this(new BinaryRelevance(new J48()));
}

代码示例来源：origin: net.sf.meka.thirdparty/mulan

/**
 * Default constructor
 */
public ExampleBasedFMeasureOptimizer() {
  this(new BinaryRelevance(new J48()));
}

代码示例来源：origin: net.sf.meka.thirdparty/mulan

/**
 * Default constructor
 */
public RCut() {
  this(new BinaryRelevance(new J48()));
}

代码示例来源：origin: net.sf.meka.thirdparty/mulan

/**
 * Default constructor
 */
public RAkEL() {
  this(new BinaryRelevance(new J48()));
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

/**
  * Main method for testing this class
  * 
  * @param argv the commandline options
  */
 public static void main(String[] argv) {
  runClassifier(new J48(), argv);
 }
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

/**
 * Default constructor.
 */
public FilteredClassifier() {
 m_Classifier = new weka.classifiers.trees.J48();
 m_Filter = new weka.filters.supervised.attribute.Discretize();
}

代码示例来源：origin: nz.ac.waikato.cms.weka/classifierBasedAttributeSelection

/** Creates a ClassifierSubsetEval with J48 as classifier */
public ASEvaluation getEvaluator() {
 ClassifierSubsetEval eval = new ClassifierSubsetEval();
 eval.setClassifier(new weka.classifiers.trees.J48());
 return eval;
}

代码示例来源：origin: nz.ac.waikato.cms.weka/distributedWekaBase

protected WekaClassifierMapTask setupBatchClassifier() {
 WekaClassifierMapTask task = new WekaClassifierMapTask();
 task.setClassifier(new weka.classifiers.trees.J48());
 return task;
}

代码示例来源：origin: Waikato/weka-trunk

/** Creates a WrapperSubsetEval with J48 */
public ASEvaluation getEvaluator() {
 WrapperSubsetEval eval = new WrapperSubsetEval();
 eval.setClassifier(new weka.classifiers.trees.J48());
 return eval;
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

/** Creates a default InputMappedClassifier */
public Classifier getClassifier() {
 InputMappedClassifier toUse = new InputMappedClassifier();
 toUse.setClassifier(new weka.classifiers.trees.J48());
 toUse.setSuppressMappingReport(true);
 return toUse;
}