NaiveBayesTrainer (Apache OpenNLP Tools 2.2.0 API)

java.lang.Object
- opennlp.tools.ml.AbstractTrainer
- - opennlp.tools.ml.AbstractEventTrainer
  - - opennlp.tools.ml.naivebayes.NaiveBayesTrainer

All Implemented Interfaces:

Trainer, EventTrainer
```
public class NaiveBayesTrainer
extends AbstractEventTrainer
```
Trains models using the combination of EM algorithm and Naive Bayes classifier which is described in:
Text Classification from Labeled and Unlabeled Documents using EM Nigam, McCallum, et al. paper of 2000

See Also:

NaiveBayesModel, AbstractEventTrainer

Field Summary

Fields
Modifier and Type Field Description

static String NAIVE_BAYES_VALUE
- Fields inherited from class opennlp.tools.ml.AbstractEventTrainer
  DATA_INDEXER_ONE_PASS_REAL_VALUE, DATA_INDEXER_ONE_PASS_VALUE, DATA_INDEXER_PARAM, DATA_INDEXER_TWO_PASS_VALUE
- Fields inherited from class opennlp.tools.ml.AbstractTrainer
  ALGORITHM_PARAM, CUTOFF_DEFAULT, CUTOFF_PARAM, ITERATIONS_DEFAULT, ITERATIONS_PARAM, TRAINER_TYPE_PARAM
- Fields inherited from interface opennlp.tools.ml.EventTrainer
  EVENT_VALUE

Constructor Summary

Constructors
Constructor	Description
`NaiveBayesTrainer()`	Instantiates a `NaiveBayesTrainer` with default training parameters.
`NaiveBayesTrainer(TrainingParameters parameters)`	Instantiates a `NaiveBayesTrainer` with specific `TrainingParameters`.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`AbstractModel`	`doTrain(DataIndexer indexer)`
`boolean`	`isSortAndMerge()`
`AbstractModel`	`trainModel(DataIndexer di)`	Trains a `NaiveBayesModel` with given parameters.

Methods inherited from class opennlp.tools.ml.AbstractEventTrainer
getDataIndexer, isValid, train, train, validate

Methods inherited from class opennlp.tools.ml.AbstractTrainer
getAlgorithm, getCutoff, getIterations, init, init

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

Methods inherited from interface opennlp.tools.commons.Trainer
init

- Field Detail
  - NAIVE_BAYES_VALUE
```
public static final String NAIVE_BAYES_VALUE
```
    See Also:
    
    Constant Field Values
- Constructor Detail
  - NaiveBayesTrainer
```
public NaiveBayesTrainer()
```
    Instantiates a NaiveBayesTrainer with default training parameters.
  - NaiveBayesTrainer
```
public NaiveBayesTrainer(TrainingParameters parameters)
```
    Instantiates a NaiveBayesTrainer with specific TrainingParameters.
    
    Parameters:
    
    parameters - The parameter to use.
- Method Detail
  - isSortAndMerge
```
public boolean isSortAndMerge()
```
    Specified by:
    
    isSortAndMerge in class AbstractEventTrainer
  - doTrain
```
public AbstractModel doTrain(DataIndexer indexer)
                      throws IOException
```
    Specified by:
    
    doTrain in class AbstractEventTrainer
    
    Throws:
    
    IOException
  - trainModel
```
public AbstractModel trainModel(DataIndexer di)
```
    Trains a NaiveBayesModel with given parameters.
    
    Parameters:
    
    di - The DataIndexer used as data input.
    
    Returns:
    
    A valid, trained Naive Bayes model.