本文整理了Java中weka.classifiers.rules.ZeroR.distributionForInstance()方法的一些代码示例，展示了ZeroR.distributionForInstance()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。ZeroR.distributionForInstance()方法的具体详情如下：
包路径：weka.classifiers.rules.ZeroR
类名称：ZeroR
方法名：distributionForInstance

ZeroR.distributionForInstance介绍

[英]Calculates the class membership probabilities for the given test instance.
[中]计算给定测试实例的类成员概率。

代码示例

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

/**
 * Computes class distribution of an instance using the tree.
 * 
 * @param instance the instance to compute the distribution for
 * @return the computed class probabilities
 * @throws Exception if computation fails
 */
@Override
public double[] distributionForInstance(Instance instance) throws Exception {
 if (m_zeroR != null) {
  return m_zeroR.distributionForInstance(instance);
 } else {
  return m_Tree.distributionForInstance(instance);
 }
}

代码示例来源：origin: Waikato/weka-trunk

/**
 * Computes class distribution of an instance using the tree.
 * 
 * @param instance the instance to compute the distribution for
 * @return the computed class probabilities
 * @throws Exception if computation fails
 */
@Override
public double[] distributionForInstance(Instance instance) throws Exception {
 if (m_zeroR != null) {
  return m_zeroR.distributionForInstance(instance);
 } else {
  return m_Tree.distributionForInstance(instance);
 }
}

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

return m_defaultModel.distributionForInstance(instance);

代码示例来源：origin: Waikato/weka-trunk

return m_defaultModel.distributionForInstance(instance);

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

return probs;
} else {
 return m_ZeroR.distributionForInstance(inst);

代码示例来源：origin: Waikato/weka-trunk

return probs;
} else {
 return m_ZeroR.distributionForInstance(inst);