edu.stanford.nlp.classify
Class Trainer

java.lang.Object
  |
  +--edu.stanford.nlp.classify.Trainer

public class Trainer

extends Object

Builds a ProbabilitySet for the classes in String[] my_dirnames and smooths that ProbabilitySet.

Constructor Summary

Trainer(String[] my_dirnames, int my_num_cases, String[] my_pos, Vector filters)
Constructor: my_dirnames is the names of the directories where the training documents are held

Method Summary

ProbabilitySet	buildPS() This method builds a ProbabilitySet from the data in the files given to the trainer.
ProbabilitySet	train() Creates and smooths a ProbabilitySet.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Trainer

public Trainer(String[] my_dirnames,
               int my_num_cases,
               String[] my_pos,
               Vector filters)

Constructor: my_dirnames is the names of the directories where the training documents are held

Method Detail

train

public ProbabilitySet train()
                     throws FileNotFoundException,
                            IOException

Creates and smooths a ProbabilitySet.

FileNotFoundException

IOException

buildPS

public ProbabilitySet buildPS()
                       throws FileNotFoundException,
                              IOException

This method builds a ProbabilitySet from the data in the files given to the trainer. The ProbabilitySet can be run through a number of filters.

FileNotFoundException

IOException