org.jdmp.core.algorithm.regression

Class AbstractRegressor

java.lang.Object

org.jdmp.core.AbstractCoreObject

org.jdmp.core.algorithm.AbstractAlgorithm

org.jdmp.core.algorithm.regression.AbstractRegressor

All Implemented Interfaces:

Serializable, Cloneable, Algorithm, HasAlgorithmMap, Regressor, HasDataSetMap, HasVariableMap, Clearable, CoreObject, HasDescription, HasGUIObject, HasId, HasLabel

Direct Known Subclasses:

AbstractClassifier, Bagging, FeatureSelector, KNNClassifier, LinearRegression, SemiSupervisedEM

public abstract class AbstractRegressor
extends AbstractAlgorithm
implements Regressor

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from interface org.jdmp.core.algorithm.Algorithm

Algorithm.EdgeDirection

Field Summary

Fields

Modifier and Type	Field and Description
int	mode
static String	OUTPUTERRORALGORITHM
static int	PREDICT
static int	TRAIN

Fields inherited from class org.jdmp.core.AbstractCoreObject

ALL, COLUMN, guiObject, ROW, X, Y, Z

Fields inherited from interface org.jdmp.core.algorithm.Algorithm

ALGORITHMARRAY, COMPRESSED, DECOMPRESSED, DIFFERENCE, DIMENSION, HASH, IGNORENAN, INPUT, PREDICTED, RMSE, SOURCE, TARGET, WEIGHT

Fields inherited from interface org.ujmp.core.interfaces.HasId

ID

Fields inherited from interface org.ujmp.core.interfaces.HasLabel

LABEL

Fields inherited from interface org.ujmp.core.interfaces.HasDescription

DESCRIPTION

Constructor Summary

Constructors

Constructor and Description
AbstractRegressor()
AbstractRegressor(String inputLabel)
AbstractRegressor(String inputLabel, String targetLabel)
AbstractRegressor(String inputLabel, String targetLabel, String weightLabel)

Method Summary

Methods

Modifier and Type	Method and Description
int	getClassCount(ListDataSet dataSet)
int	getFeatureCount(ListDataSet dataSet)
String	getInputLabel()
int	getMode()
Algorithm	getOutputErrorAlgorithm()
String	getTargetLabel()
String	getWeightLabel()
boolean	isDiscrete(ListDataSet dataSet)
void	predictAll(ListDataSet dataSet)
void	predictOne(Sample sample)
void	setInputLabel(String inputLabel)
void	setMode(int mode)
void	setOutputErrorAlgorithm(Algorithm a)
void	setTargetLabel(String targetLabel)
void	setWeightLabel(String weightLabel)
void	trainOne(Matrix input, Matrix targetOutput)
void	trainOne(Matrix input, Matrix sampleWeight, Matrix targetOutput)
void	trainOne(Sample sample)

Methods inherited from class org.jdmp.core.algorithm.AbstractAlgorithm

addVariableKey, calculate, calculate, calculate, calculate, calculateObjects, calculateObjects, calculateObjects, clear, getAlgorithmMap, getDataSetMap, getDescription, getEdgeDirection, getEdgeLabel, getId, getInputKeys, getLabel, getLabelObject, getOutputKeys, getVariableKeys, getVariableMap, setAlgorithm, setDescription, setEdgeDirection, setEdgeLabel, setId, setLabel, setVariable, setVariables, toString

Methods inherited from class org.jdmp.core.AbstractCoreObject

clone, fireValueChanged, getCoreObjectId, getGUIObject, showGUI

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.jdmp.core.algorithm.regression.Regressor

emptyCopy, predictOne, reset, trainAll

Methods inherited from interface org.ujmp.core.interfaces.CoreObject

clone, getCoreObjectId

Methods inherited from interface org.ujmp.core.interfaces.HasGUIObject

fireValueChanged, getGUIObject, showGUI

Field Detail

OUTPUTERRORALGORITHM

public static final String OUTPUTERRORALGORITHM

See Also:

Constant Field Values

TRAIN

public static final int TRAIN

See Also:

Constant Field Values

PREDICT

public static final int PREDICT

See Also:

Constant Field Values

mode

public int mode

Constructor Detail

AbstractRegressor

public AbstractRegressor(String inputLabel,
                 String targetLabel,
                 String weightLabel)

AbstractRegressor

public AbstractRegressor(String inputLabel,
                 String targetLabel)

AbstractRegressor

public AbstractRegressor(String inputLabel)

AbstractRegressor

public AbstractRegressor()

Method Detail

getClassCount

public int getClassCount(ListDataSet dataSet)

Specified by:

getClassCount in interface Regressor

isDiscrete

public boolean isDiscrete(ListDataSet dataSet)

Specified by:

isDiscrete in interface Regressor

getFeatureCount

public int getFeatureCount(ListDataSet dataSet)

Specified by:

getFeatureCount in interface Regressor

getInputLabel

public String getInputLabel()

Specified by:

getInputLabel in interface Regressor

getWeightLabel

public String getWeightLabel()

setWeightLabel

public void setWeightLabel(String weightLabel)

setInputLabel

public void setInputLabel(String inputLabel)

getTargetLabel

public String getTargetLabel()

Specified by:

getTargetLabel in interface Regressor

setTargetLabel

public void setTargetLabel(String targetLabel)

trainOne

public void trainOne(Matrix input,
            Matrix sampleWeight,
            Matrix targetOutput)

Specified by:

trainOne in interface Regressor

predictOne

public final void predictOne(Sample sample)

Specified by:

predictOne in interface Regressor

trainOne

public final void trainOne(Matrix input,
            Matrix targetOutput)

Specified by:

trainOne in interface Regressor

trainOne

public final void trainOne(Sample sample)

Specified by:

trainOne in interface Regressor

predictAll

public void predictAll(ListDataSet dataSet)

Specified by:

predictAll in interface Regressor

getOutputErrorAlgorithm

public Algorithm getOutputErrorAlgorithm()

setOutputErrorAlgorithm

public void setOutputErrorAlgorithm(Algorithm a)

getMode

public int getMode()

setMode

public void setMode(int mode)