The MultivariateNormalDistribution class. More...

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

Inheritance diagram for MultivariateNormalDistribution:

Public Member Functions
armarx::VariantDataClassPtr	clone (const Ice::Current &c=Ice::emptyCurrent) const override

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

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

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

float	getDensity (const Eigen::VectorXf &point) override

armarx::VariantTypeId	getType (const Ice::Current &c=Ice::emptyCurrent) const override

float	getVarianceScalar (const ::Ice::Current &=Ice::emptyCurrent) const override

Ice::ObjectPtr	ice_clone () const override

	MultivariateNormalDistribution (const Eigen::VectorXf &mean, const Eigen::MatrixXf &vars)

	MultivariateNormalDistribution (const FloatVector &mean, const FloatVector &vars)

	MultivariateNormalDistribution (const MultivariateNormalDistribution &other)

	MultivariateNormalDistribution (int dimensions=0)

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

void	setCovariance (::Ice::Int row, ::Ice::Int col, ::Ice::Float cov, const ::Ice::Current &=Ice::emptyCurrent) override

Eigen::MatrixXf	toEigenCovariance () const override

bool	validate (const Ice::Current &c=Ice::emptyCurrent) override

Public Member Functions inherited from NormalDistribution
void	fromEigenMean (const Eigen::VectorXf &mean)

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

Eigen::VectorXf	toEigenMean () const

Static Public Member Functions
static MultivariateNormalDistributionPtr	CreateDefaultDistribution (float variance=10000)
	Create a distribution with uncertainty of variance in all directions (default: variance = 10000, i.e. standard deviation is 100 mm) More...

Additional Inherited Members
Protected Member Functions inherited from NormalDistribution
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

The MultivariateNormalDistribution class.

Definition at line 236 of file ProbabilityMeasures.h.

Constructor & Destructor Documentation

◆ MultivariateNormalDistribution() [1/4]

MultivariateNormalDistribution ( int dimensions = 0 )

Definition at line 352 of file ProbabilityMeasures.cpp.

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◆ MultivariateNormalDistribution() [2/4]

MultivariateNormalDistribution	(	const FloatVector &	mean,
		const FloatVector &	vars
	)

Definition at line 358 of file ProbabilityMeasures.cpp.

◆ MultivariateNormalDistribution() [3/4]

MultivariateNormalDistribution	(	const Eigen::VectorXf &	mean,
		const Eigen::MatrixXf &	vars
	)

Definition at line 364 of file ProbabilityMeasures.cpp.

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◆ MultivariateNormalDistribution() [4/4]

MultivariateNormalDistribution ( const MultivariateNormalDistribution & other )

Definition at line 371 of file ProbabilityMeasures.cpp.

Member Function Documentation

◆ clone()

armarx::VariantDataClassPtr clone ( const Ice::Current & c = Ice::emptyCurrent ) const

inlineoverride

Definition at line 271 of file ProbabilityMeasures.h.

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◆ CreateDefaultDistribution()

static MultivariateNormalDistributionPtr CreateDefaultDistribution ( float variance = 10000 )

inlinestatic

Create a distribution with uncertainty of variance in all directions (default: variance = 10000, i.e. standard deviation is 100 mm)

Parameters

variance

Returns

Definition at line 251 of file ProbabilityMeasures.h.

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◆ deserialize()

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

override

Definition at line 460 of file ProbabilityMeasures.cpp.

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◆ fromEigenCovariance()

void fromEigenCovariance ( const Eigen::MatrixXf & cov )

overridevirtual

Implements NormalDistribution.

Definition at line 425 of file ProbabilityMeasures.cpp.

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◆ getCovariance()

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

overridevirtual

Implements NormalDistribution.

Definition at line 381 of file ProbabilityMeasures.cpp.

◆ getDensity()

float getDensity ( const Eigen::VectorXf & point )

overridevirtual

Implements NormalDistribution.

Definition at line 437 of file ProbabilityMeasures.cpp.

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◆ getType()

armarx::VariantTypeId getType ( const Ice::Current & c = Ice::emptyCurrent ) const

inlineoverride

Definition at line 275 of file ProbabilityMeasures.h.

◆ getVarianceScalar()

Ice::Float getVarianceScalar ( const ::Ice::Current & = Ice::emptyCurrent ) const

override

Definition at line 406 of file ProbabilityMeasures.cpp.

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◆ ice_clone()

Ice::ObjectPtr ice_clone ( ) const

inlineoverride

Definition at line 267 of file ProbabilityMeasures.h.

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◆ serialize()

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

override

Definition at line 452 of file ProbabilityMeasures.cpp.

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◆ setCovariance()

void setCovariance	(	::Ice::Int	row,
		::Ice::Int	col,
		::Ice::Float	cov,
		const ::Ice::Current &	= `Ice::emptyCurrent`
	)

override

Definition at line 392 of file ProbabilityMeasures.cpp.

◆ toEigenCovariance()

Eigen::MatrixXf toEigenCovariance ( ) const

overridevirtual

Implements NormalDistribution.

Definition at line 419 of file ProbabilityMeasures.cpp.

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◆ validate()

bool validate ( const Ice::Current & c = Ice::emptyCurrent )

inlineoverride

Definition at line 279 of file ProbabilityMeasures.h.

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

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

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ MultivariateNormalDistribution() [1/4]

◆ MultivariateNormalDistribution() [2/4]

◆ MultivariateNormalDistribution() [3/4]

◆ MultivariateNormalDistribution() [4/4]

Member Function Documentation

◆ clone()

◆ CreateDefaultDistribution()

◆ deserialize()

◆ fromEigenCovariance()

◆ getCovariance()

◆ getDensity()

◆ getType()

◆ getVarianceScalar()

◆ ice_clone()

◆ serialize()

◆ setCovariance()

◆ toEigenCovariance()

◆ validate()