NBClassifier

java.lang.Object
- edu.msu.cme.rdp.classifier.train.validation.NBClassifier

public class NBClassifier
extends java.lang.Object

Field Summary

Fields
Modifier and Type Field Description

static int MIN_BOOTSTRSP_WORDS

static long seed

Constructor Summary

Constructors
Constructor	Description
`NBClassifier(TreeFactory f, int[] wordList, java.util.ArrayList<HierarchyTree> nodes, boolean useSeed, int min_bootstrap_words)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`ValidationClassificationResult`	`assignClass()`	for a array of subclasses, gets the probabilities of each subclass, returns the classification whose subclass has the highest probability.
`ValidationClassificationResult`	`assignClassRandomsample()`	This method random select certain number of words and calculate the probability This can only be called after the assignClass() filled the querySeq_wordProbArr matrix

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - MIN_BOOTSTRSP_WORDS
```
public static final int MIN_BOOTSTRSP_WORDS
```
    See Also:
    
    Constant Field Values
  - seed
```
public static final long seed
```
    See Also:
    
    Constant Field Values
- Constructor Detail
  - NBClassifier
```
public NBClassifier(TreeFactory f,
                    int[] wordList,
                    java.util.ArrayList<HierarchyTree> nodes,
                    boolean useSeed,
                    int min_bootstrap_words)
             throws java.io.IOException
```
    Throws:
    
    java.io.IOException
- Method Detail
  - assignClass
```
public ValidationClassificationResult assignClass()
```
    for a array of subclasses, gets the probabilities of each subclass, returns the classification whose subclass has the highest probability. formula: prob = sum( log(p (wi|c) ) ) i = 1 to n for n words denominator = log ( sum( exp (prob)j ) ) for j = 1 to m for m classes final log posterior prob = prob + p(c) - denominator
  - assignClassRandomsample
```
public ValidationClassificationResult assignClassRandomsample()
```
    This method random select certain number of words and calculate the probability This can only be called after the assignClass() filled the querySeq_wordProbArr matrix
    
    Returns:
    
    the classification whose subclass has the highest probability.