jsat.classifiers

Class BaseUpdateableClassifier

java.lang.Object

jsat.classifiers.BaseUpdateableClassifier

All Implemented Interfaces:

Serializable, Cloneable, Classifier, UpdateableClassifier

Direct Known Subclasses:

ALMA2, ALMA2K, AODE, AROW, BOGD, CSKLR, DUOL, Forgetron, LinearSGD, MultinomialNaiveBayes, NaiveBayesUpdateable, NHERD, ODE, OnlineAMM, OSKL, Projectron, ROMMA, SCW, SPA, STGD

public abstract class BaseUpdateableClassifier
extends Object
implements UpdateableClassifier

A base implementation of the UpdateableClassifier. trainC(jsat.classifiers.ClassificationDataSet, java.util.concurrent.ExecutorService) will simply call trainC(jsat.classifiers.ClassificationDataSet), which will call UpdateableClassifier.setUp(jsat.classifiers.CategoricalData[], int, jsat.classifiers.CategoricalData) and then call UpdateableClassifier.update(jsat.classifiers.DataPoint, int) for each data point in a random order.

Author:

Edward Raff

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BaseUpdateableClassifier() Default constructor that does nothing
BaseUpdateableClassifier(BaseUpdateableClassifier toCopy) Copy constructor

Method Summary

Modifier and Type	Method and Description
abstract UpdateableClassifier	clone()
int	getEpochs() Returns the number of epochs used for training
void	setEpochs(int epochs) Sets the number of whole iterations through the training set that will be performed for training
void	trainC(ClassificationDataSet dataSet) Trains the classifier and constructs a model for classification using the given data set.
void	trainC(ClassificationDataSet dataSet, ExecutorService threadPool) Trains the classifier and constructs a model for classification using the given data set.
static void	trainEpochs(ClassificationDataSet dataSet, UpdateableClassifier toTrain, int epochs) Performs training on an updateable classifier by going over the whole data set in random order one observation at a time, multiple times.

Methods inherited from class java.lang.Object

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

Methods inherited from interface jsat.classifiers.UpdateableClassifier

setUp, update

Methods inherited from interface jsat.classifiers.Classifier

classify, supportsWeightedData

Constructor Detail

BaseUpdateableClassifier

public BaseUpdateableClassifier()

Default constructor that does nothing

BaseUpdateableClassifier

public BaseUpdateableClassifier(BaseUpdateableClassifier toCopy)

Copy constructor

Parameters:

toCopy - object to copy

Method Detail

setEpochs

public void setEpochs(int epochs)

Sets the number of whole iterations through the training set that will be performed for training

Parameters:

epochs - the number of whole iterations through the data set

getEpochs

public int getEpochs()

Returns the number of epochs used for training

Returns:

the number of epochs used for training

trainC

public void trainC(ClassificationDataSet dataSet,
                   ExecutorService threadPool)

Description copied from interface: Classifier

Trains the classifier and constructs a model for classification using the given data set. If the training method knows how, it will used the threadPool to conduct training in parallel. This method will block until the training has completed.

Specified by:

trainC in interface Classifier

Parameters:

dataSet - the data set to train on

threadPool - the source of threads to use.

trainC

public void trainC(ClassificationDataSet dataSet)

Description copied from interface: Classifier

Trains the classifier and constructs a model for classification using the given data set.

Specified by:

trainC in interface Classifier

Parameters:

dataSet - the data set to train on

trainEpochs

public static void trainEpochs(ClassificationDataSet dataSet,
                               UpdateableClassifier toTrain,
                               int epochs)

Performs training on an updateable classifier by going over the whole data set in random order one observation at a time, multiple times.

Parameters:

dataSet - the data set to train from

toTrain - the classifier to train

epochs - the number of passes through the data set

clone

public abstract UpdateableClassifier clone()

Specified by:

clone in interface Classifier

Specified by:

clone in interface UpdateableClassifier

Overrides:

clone in class Object