org.jdmp.core.algorithm.estimator

Class MultivariateGaussianDensityEstimator

java.lang.Object

org.jdmp.core.AbstractCoreObject

org.jdmp.core.algorithm.AbstractAlgorithm

org.jdmp.core.algorithm.regression.AbstractRegressor

org.jdmp.core.algorithm.classification.AbstractClassifier

org.jdmp.core.algorithm.estimator.MultivariateGaussianDensityEstimator

All Implemented Interfaces:

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

public class MultivariateGaussianDensityEstimator
extends AbstractClassifier

See Also:

Serialized Form

Nested Class Summary

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

Algorithm.EdgeDirection

Field Summary

Fields inherited from class org.jdmp.core.algorithm.regression.AbstractRegressor

mode, OUTPUTERRORALGORITHM, PREDICT, TRAIN

Fields inherited from class org.jdmp.core.AbstractCoreObject

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

Fields inherited from interface org.jdmp.core.algorithm.classification.Classifier

Factory

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
MultivariateGaussianDensityEstimator()

Method Summary

Methods

Modifier and Type	Method and Description
Classifier	emptyCopy()
double	getDensity(Matrix input)
static double	getDensity(Matrix x, Matrix mean, Matrix covariance)
double	getDensityUnscaled(Matrix input)
static double	getDensityUnscaled(Matrix x, Matrix mean, Matrix covariance)
Matrix	predictOne(Matrix input)
void	reset()
void	trainAll(ListDataSet dataSet)

Methods inherited from class org.jdmp.core.algorithm.regression.AbstractRegressor

getClassCount, getFeatureCount, getInputLabel, getMode, getOutputErrorAlgorithm, getTargetLabel, getWeightLabel, isDiscrete, predictAll, predictOne, setInputLabel, setMode, setOutputErrorAlgorithm, setTargetLabel, setWeightLabel, trainOne, trainOne, trainOne

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

getClassCount, getFeatureCount, getInputLabel, getTargetLabel, isDiscrete, predictAll, predictOne, trainOne, trainOne, trainOne

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

clone, getCoreObjectId

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

fireValueChanged, getGUIObject, showGUI

Constructor Detail

MultivariateGaussianDensityEstimator

public MultivariateGaussianDensityEstimator()

Method Detail

trainAll

public void trainAll(ListDataSet dataSet)

reset

public void reset()

getDensity

public double getDensity(Matrix input)

getDensityUnscaled

public double getDensityUnscaled(Matrix input)

predictOne

public Matrix predictOne(Matrix input)

emptyCopy

public Classifier emptyCopy()

getDensity

public static double getDensity(Matrix x,
                Matrix mean,
                Matrix covariance)

getDensityUnscaled

public static double getDensityUnscaled(Matrix x,
                        Matrix mean,
                        Matrix covariance)