/**
* Build the no-split node
*
* @param instances an <code>Instances</code> value
* @exception Exception if an error occurs
*/
public final void buildClassifier(Instances instances) throws Exception {
m_nb = new NaiveBayesUpdateable();
m_disc = new Discretize();
m_disc.setInputFormat(instances);
Instances temp = Filter.useFilter(instances, m_disc);
m_nb.buildClassifier(temp);
if (temp.numInstances() >= 5) {
m_errors = crossValidate(m_nb, temp, new Random(1));
}
m_numSubsets = 1;
}
/**
* Return a textual description of the node
*
* @return a <code>String</code> value
*/
public String toString() {
return m_nb.toString();
}
/**
* Return the probability for a class value
*
* @param classIndex the index of the class value
* @param instance the instance to generate a probability for
* @param theSubset the subset to consider
* @return a probability
* @exception Exception if an error occurs
*/
public double classProb(int classIndex, Instance instance, int theSubset) throws Exception {
m_disc.input(instance);
Instance temp = m_disc.output();
return m_nb.distributionForInstance(temp)[classIndex];
}
