jsat.regression

Class BaseUpdateableRegressor

java.lang.Object

jsat.regression.BaseUpdateableRegressor

All Implemented Interfaces:

Serializable, Cloneable, Regressor, UpdateableRegressor

public abstract class BaseUpdateableRegressor
extends Object
implements UpdateableRegressor

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

Author:

Edward Raff

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BaseUpdateableRegressor()

Method Summary

Modifier and Type	Method and Description
abstract UpdateableRegressor	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	train(RegressionDataSet dataSet)
void	train(RegressionDataSet dataSet, ExecutorService threadPool)
static void	trainEpochs(RegressionDataSet dataSet, UpdateableRegressor 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.regression.UpdateableRegressor

setUp, update

Methods inherited from interface jsat.regression.Regressor

regress, supportsWeightedData

Constructor Detail

BaseUpdateableRegressor

public BaseUpdateableRegressor()

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

train

public void train(RegressionDataSet dataSet,
                  ExecutorService threadPool)

Specified by:

train in interface Regressor

train

public void train(RegressionDataSet dataSet)

Specified by:

train in interface Regressor

trainEpochs

public static void trainEpochs(RegressionDataSet dataSet,
                               UpdateableRegressor 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 UpdateableRegressor clone()

Specified by:

clone in interface Regressor

Specified by:

clone in interface UpdateableRegressor

Overrides:

clone in class Object