com.rapidminer.tools.math.distribution
Class EmpiricalNormalDistribution

java.lang.Object
  com.rapidminer.tools.math.distribution.ContinuousDistribution
      com.rapidminer.tools.math.distribution.NormalDistribution
          com.rapidminer.tools.math.distribution.EmpiricalNormalDistribution

All Implemented Interfaces:

Distribution, EmpiricalDistribution, java.io.Serializable, java.lang.Comparable<EmpiricalNormalDistribution>

Direct Known Subclasses:

NormalKernel

public class EmpiricalNormalDistribution
extends NormalDistribution
implements EmpiricalDistribution, java.lang.Comparable<EmpiricalNormalDistribution>

This class represents a gaussian normal distribution.

Author:

Tobias Malbrecht, Sebastian Land

See Also:

Serialized Form

Field Summary

protected boolean	recentlyUpdated
protected double	squaredSum
protected double	sum
protected double	totalWeightSum

Fields inherited from class com.rapidminer.tools.math.distribution.NormalDistribution

mean, standardDeviation

Constructor Summary

EmpiricalNormalDistribution()

Method Summary

int	compareTo(EmpiricalNormalDistribution otherDistribution)
java.lang.String	getAttributeName()
double	getLowerBound() This method returns a lower bound of values.
double	getMean()
int	getNumberOfParameters() This should return the number of parameters defining this distribution
java.lang.String	getParameterName(int index) This method should return the name of the i-th parameter
double	getParameterValue(int index) This method should return the value of the i-th parameter
double	getProbability(double value) This method returns the density of the given distribution at the specified value.
double	getStandardDeviation()
double	getTotalWeight()
double	getUpperBound() This method returns an upper bound of possible values.
double	getVariance()
java.lang.String	toString() Should return an textual representation of the distribution.
void	update(double value)
void	update(double value, double weight)
void	update(EmpiricalNormalDistribution distribution)
protected void	updateDistributionProperties()

Methods inherited from class com.rapidminer.tools.math.distribution.NormalDistribution

getLogProbability, getLowerBound, getProbability, getUpperBound

Methods inherited from class com.rapidminer.tools.math.distribution.ContinuousDistribution

isContinuous, isDiscrete, mapValue

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.rapidminer.tools.math.distribution.Distribution

isContinuous, isDiscrete, mapValue

Field Detail

recentlyUpdated

protected boolean recentlyUpdated

sum

protected double sum

squaredSum

protected double squaredSum

totalWeightSum

protected double totalWeightSum

Constructor Detail

EmpiricalNormalDistribution

public EmpiricalNormalDistribution()

Method Detail

update

public void update(double value,
                   double weight)

Specified by:

update in interface EmpiricalDistribution

update

public void update(double value)

Specified by:

update in interface EmpiricalDistribution

update

public void update(EmpiricalNormalDistribution distribution)

getAttributeName

public java.lang.String getAttributeName()

Specified by:

getAttributeName in interface Distribution

Overrides:

getAttributeName in class NormalDistribution

updateDistributionProperties

protected void updateDistributionProperties()

getProbability

public double getProbability(double value)

Description copied from interface: Distribution

This method returns the density of the given distribution at the specified value.

Specified by:

getProbability in interface Distribution

Overrides:

getProbability in class NormalDistribution

Parameters:

value - the value which density shall be returned

getMean

public double getMean()

Overrides:

getMean in class NormalDistribution

getStandardDeviation

public double getStandardDeviation()

Overrides:

getStandardDeviation in class NormalDistribution

getVariance

public double getVariance()

Overrides:

getVariance in class NormalDistribution

getLowerBound

public double getLowerBound()

Description copied from class: ContinuousDistribution

This method returns a lower bound of values. This bound should be given by the distributions tail, for example bounds should contain 95% interval. Nominal distributions should return NaN.

Overrides:

getLowerBound in class NormalDistribution

getUpperBound

public double getUpperBound()

Description copied from class: ContinuousDistribution

This method returns an upper bound of possible values. This bound should be given by the distributions tail, for example bounds should contain 95% interval. Nominal distributions should return NaN.

Overrides:

getUpperBound in class NormalDistribution

getTotalWeight

public double getTotalWeight()

Specified by:

getTotalWeight in interface EmpiricalDistribution

toString

public java.lang.String toString()

Description copied from interface: Distribution

Should return an textual representation of the distribution.

Specified by:

toString in interface Distribution

Overrides:

toString in class NormalDistribution

getNumberOfParameters

public int getNumberOfParameters()

Description copied from interface: Distribution

This should return the number of parameters defining this distribution

Specified by:

getNumberOfParameters in interface Distribution

Overrides:

getNumberOfParameters in class NormalDistribution

getParameterName

public java.lang.String getParameterName(int index)

Description copied from interface: Distribution

This method should return the name of the i-th parameter

Specified by:

getParameterName in interface Distribution

Overrides:

getParameterName in class NormalDistribution

getParameterValue

public double getParameterValue(int index)

Description copied from interface: Distribution

This method should return the value of the i-th parameter

Specified by:

getParameterValue in interface Distribution

Overrides:

getParameterValue in class NormalDistribution

compareTo

public int compareTo(EmpiricalNormalDistribution otherDistribution)

Specified by:

compareTo in interface java.lang.Comparable<EmpiricalNormalDistribution>