NormalDistribution Class Reference

#include <MemoryX/core/entity/ProbabilityMeasures.h>

Inheritance diagram for NormalDistribution:

Public Member Functions
virtual void	fromEigenCovariance (const Eigen::MatrixXf &cov)=0
void	fromEigenMean (const Eigen::VectorXf &mean)
float	getCovariance (int row, int col, const ::Ice::Current &=Ice::emptyCurrent) const override=0
virtual float	getDensity (const Eigen::VectorXf &p)=0
int	getDimensions (const ::Ice::Current &=Ice::emptyCurrent) const override
FloatVector	getMean (const ::Ice::Current &=Ice::emptyCurrent) const override
std::string	output (const Ice::Current &c=Ice::emptyCurrent) const override
void	setMean (const FloatVector &mean, const ::Ice::Current &=Ice::emptyCurrent) override
virtual Eigen::MatrixXf	toEigenCovariance () const =0
Eigen::VectorXf	toEigenMean () const

Protected Member Functions
void	deserialize (const armarx::ObjectSerializerBasePtr &serializer, const ::Ice::Current &=Ice::emptyCurrent) override
	NormalDistribution (const Eigen::VectorXf &mean)
	NormalDistribution (const FloatVector &mean)
	NormalDistribution (const NormalDistribution &other)
	NormalDistribution (int dimensions)
void	serialize (const armarx::ObjectSerializerBasePtr &serializer, const ::Ice::Current &=Ice::emptyCurrent) const override

Detailed Description

Definition at line 102 of file ProbabilityMeasures.h.

Constructor & Destructor Documentation

NormalDistribution() [1/4]

NormalDistribution ( int dimensions )

protected

Definition at line 85 of file ProbabilityMeasures.cpp.

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NormalDistribution() [2/4]

NormalDistribution ( const FloatVector & mean )

protected

Definition at line 91 of file ProbabilityMeasures.cpp.

NormalDistribution() [3/4]

NormalDistribution ( const Eigen::VectorXf & mean )

protected

Definition at line 96 of file ProbabilityMeasures.cpp.

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NormalDistribution() [4/4]

NormalDistribution ( const NormalDistribution & other )

protected

Definition at line 103 of file ProbabilityMeasures.cpp.

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Member Function Documentation

deserialize()

void deserialize ( const armarx::ObjectSerializerBasePtr & serializer, const ::Ice::Current & = Ice::emptyCurrent )

overrideprotected

Definition at line 172 of file ProbabilityMeasures.cpp.

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fromEigenCovariance()

virtual void fromEigenCovariance ( const Eigen::MatrixXf & cov )

pure virtual

Implemented in IsotropicNormalDistribution, MultivariateNormalDistribution, and UnivariateNormalDistribution.

fromEigenMean()

void fromEigenMean

(

const Eigen::VectorXf &

mean

)

Definition at line 120 of file ProbabilityMeasures.cpp.

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getCovariance()

float getCovariance ( int row, int col, const ::Ice::Current & = Ice::emptyCurrent ) const

overridepure virtual

Implemented in IsotropicNormalDistribution, MultivariateNormalDistribution, and UnivariateNormalDistribution.

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getDensity()

virtual float getDensity ( const Eigen::VectorXf & p )

pure virtual

Implemented in IsotropicNormalDistribution, MultivariateNormalDistribution, and UnivariateNormalDistribution.

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getDimensions()

int getDimensions ( const ::Ice::Current & = Ice::emptyCurrent ) const

inlineoverride

Definition at line 106 of file ProbabilityMeasures.h.

getMean()

FloatVector getMean ( const ::Ice::Current & = Ice::emptyCurrent ) const

inlineoverride

Definition at line 112 of file ProbabilityMeasures.h.

output()

std::string output ( const Ice::Current & c = Ice::emptyCurrent ) const

override

Definition at line 133 of file ProbabilityMeasures.cpp.

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serialize()

void serialize ( const armarx::ObjectSerializerBasePtr & serializer, const ::Ice::Current & = Ice::emptyCurrent ) const

overrideprotected

Definition at line 162 of file ProbabilityMeasures.cpp.

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setMean()

void setMean ( const FloatVector & mean, const ::Ice::Current & = Ice::emptyCurrent )

inlineoverride

Definition at line 118 of file ProbabilityMeasures.h.

toEigenCovariance()

virtual Eigen::MatrixXf toEigenCovariance ( ) const

pure virtual

Implemented in IsotropicNormalDistribution, MultivariateNormalDistribution, and UnivariateNormalDistribution.

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toEigenMean()

Eigen::VectorXf toEigenMean

(

)

const

Definition at line 112 of file ProbabilityMeasures.cpp.

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The documentation for this class was generated from the following files:

• MemoryX/core/entity/ProbabilityMeasures.h
• MemoryX/core/entity/ProbabilityMeasures.cpp