RandomClassifier (Mallet 2 API)

java.lang.Object
- cc.mallet.classify.Classifier
- - cc.mallet.classify.RandomClassifier

All Implemented Interfaces:

AlphabetCarrying, java.io.Serializable
```
public class RandomClassifier
extends Classifier
```
A Classifier that will return a randomly selected class label. The Classifier needs to be trained using the RandomAssignmentTrainer. Note that the frequency distribution gives more weight to class labels with a higher frequency in the training data. To create a Classifier which gives equal weight to each class, simply use a Set instead of the List.

Author:

Martin Wunderlich martin@wunderlich.com

See Also:

RandomAssignmentTrainer, Serialized Form

Field Summary
- Fields inherited from class cc.mallet.classify.Classifier
  instancePipe

Constructor Summary

Constructors
Constructor Description

RandomClassifier(Pipe instancePipe)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`addTargetLabel(Label label)`
`Classification`	`classify(Instance instance)`	Classify an instance using random selection based on the trained data.

Methods inherited from class cc.mallet.classify.Classifier
alphabetsMatch, classify, classify, classify, getAccuracy, getAlphabet, getAlphabets, getAverageRank, getF1, getF1, getF1, getFeatureSelection, getInstancePipe, getLabelAlphabet, getPerClassFeatureSelection, getPrecision, getPrecision, getPrecision, getRecall, getRecall, getRecall, print, print

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

- Constructor Detail
  - RandomClassifier
```
public RandomClassifier(Pipe instancePipe)
```
- Method Detail
  - classify
```
public Classification classify(Instance instance)
```
    Classify an instance using random selection based on the trained data.
    
    Specified by:
    
    classify in class Classifier
    
    Parameters:
    
    Instance - to be classified. Data field must be a FeatureVector.
    
    Returns:
    
    Classification containing the labeling of the instance.
  - addTargetLabel
```
public void addTargetLabel(Label label)
```