edu.cmu.minorthird.classify.algorithms.linear
Class KWayMixtureLearner

java.lang.Object
  edu.cmu.minorthird.classify.BatchClassifierLearner
      edu.cmu.minorthird.classify.algorithms.linear.KWayMixtureLearner

All Implemented Interfaces:

ClassifierLearner, java.lang.Cloneable

public class KWayMixtureLearner
extends BatchClassifierLearner

Author:

Edoardo Airoldi Date: Nov 14, 2004

Field Summary

Fields inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner

classifier, dataset

Constructor Summary

KWayMixtureLearner()

KWayMixtureLearner(java.lang.String model)

KWayMixtureLearner(java.lang.String model, java.lang.String parameterization)

KWayMixtureLearner(java.lang.String model, java.lang.String parameterization, double scale)

Method Summary

Classifier	batchTrain(Dataset dataset) subclasses should use this method to implement a batch supervised learning algorithm.
ExampleSchema	getSchema() Returns the ExampleSchema - constraints on what the Examples will be.
static void	main(java.lang.String[] args)
void	setSchema(ExampleSchema schema) Accept an ExampleSchema - constraints on what the Examples will be.

Methods inherited from class edu.cmu.minorthird.classify.BatchClassifierLearner

addExample, completeTraining, copy, getClassifier, hasNextQuery, nextQuery, reset, setInstancePool

Methods inherited from class java.lang.Object

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

Constructor Detail

KWayMixtureLearner

public KWayMixtureLearner()

KWayMixtureLearner

public KWayMixtureLearner(java.lang.String model)

KWayMixtureLearner

public KWayMixtureLearner(java.lang.String model,
                          java.lang.String parameterization)

KWayMixtureLearner

public KWayMixtureLearner(java.lang.String model,
                          java.lang.String parameterization,
                          double scale)

Method Detail

setSchema

public void setSchema(ExampleSchema schema)

Description copied from interface: ClassifierLearner

Accept an ExampleSchema - constraints on what the Examples will be.

getSchema

public ExampleSchema getSchema()

Description copied from interface: ClassifierLearner

Returns the ExampleSchema - constraints on what the Examples will be.

batchTrain

public Classifier batchTrain(Dataset dataset)

Description copied from class: BatchClassifierLearner

subclasses should use this method to implement a batch supervised learning algorithm.

Specified by:

batchTrain in class BatchClassifierLearner

main

public static void main(java.lang.String[] args)