com.datumbox.framework.core.machinelearning.regression

Class StepwiseRegression

java.lang.Object

com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractModeler<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractRegressor<StepwiseRegression.ModelParameters,StepwiseRegression.TrainingParameters>

com.datumbox.framework.core.machinelearning.regression.StepwiseRegression

All Implemented Interfaces:

Savable, Trainable<StepwiseRegression.ModelParameters,StepwiseRegression.TrainingParameters>, java.lang.AutoCloseable

public class StepwiseRegression
extends AbstractRegressor<StepwiseRegression.ModelParameters,StepwiseRegression.TrainingParameters>

Implementation of Stepwise Regression algorithm. The method takes as argument an other regression model which uses to estimate the best model. This implementation uses the backwards elimination algorithm.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	StepwiseRegression.ModelParameters Base class for every ModelParameter class in the framework.
static class	StepwiseRegression.TrainingParameters The AbstractTrainingParameters class stores the parameters that can be changed before training the algorithm.

Nested classes/interfaces inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer

AbstractTrainer.AbstractModelParameters, AbstractTrainer.AbstractTrainingParameters

Method Summary

Modifier and Type	Method and Description
void	close()
void	delete() Deletes the data of the object.
void	save(java.lang.String storageName) Saves the data of the object.

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractModeler

predict

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer

fit, getModelParameters, getTrainingParameters

Methods inherited from class java.lang.Object

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

Method Detail

save

public void save(java.lang.String storageName)

Saves the data of the object.

Specified by:

save in interface Savable

Overrides:

save in class AbstractTrainer<StepwiseRegression.ModelParameters,StepwiseRegression.TrainingParameters>

delete

public void delete()

Deletes the data of the object.

Specified by:

delete in interface Savable

Overrides:

delete in class AbstractTrainer<StepwiseRegression.ModelParameters,StepwiseRegression.TrainingParameters>

close

public void close()

Specified by:

close in interface java.lang.AutoCloseable

Overrides:

close in class AbstractTrainer<StepwiseRegression.ModelParameters,StepwiseRegression.TrainingParameters>