autopas::GaussianHyperparameters Class Reference

Hyperparameters of Gaussian models and derived matrices used for prediction. More...

#include <GaussianHyperparameters.h>

Public Member Functions
	GaussianHyperparameters (double mean, double theta, Eigen::VectorXd dimScales)
	Constructor.
	GaussianHyperparameters (const GaussianHyperparameters &gaussianHyperparameters)
	Copy constructor.
	GaussianHyperparameters (GaussianHyperparameters &&gaussianHyperparameters) noexcept
	Move Constructor.
GaussianHyperparameters &	operator= (const GaussianHyperparameters &gaussianHyperparameters)
	Copy assignment operator.
GaussianHyperparameters &	operator= (GaussianHyperparameters &&gaussianHyperparameters) noexcept
	Move assignment operator.
void	precalculate (double sigma, const std::vector< Eigen::VectorXd > &inputs, const Eigen::VectorXd &outputs)
	Precalculate matrices needed for predictions.

Public Attributes
double	score
	score used to weight hyperparameters
double	mean
	prior mean
double	theta
	prior variance
Eigen::VectorXd	dimScales
	Scale for each input dimension.
Eigen::MatrixXd	covMatInv
	Covariance Matrix Inverse.
Eigen::VectorXd	weights
	Weights used for predictions.

Detailed Description

Hyperparameters of Gaussian models and derived matrices used for prediction.

Constructor & Destructor Documentation

GaussianHyperparameters() [1/3]

autopas::GaussianHyperparameters::GaussianHyperparameters	(	double	mean,
		double	theta,
		Eigen::VectorXd	dimScales
	)

Constructor.

Parameters

mean	prior mean of Gaussian process
theta	prior variance
dimScales	scale for each input dimension

GaussianHyperparameters() [2/3]

autopas::GaussianHyperparameters::GaussianHyperparameters ( const GaussianHyperparameters &  gaussianHyperparameters )

default

Copy constructor.

Parameters

gaussianHyperparameters

GaussianHyperparameters() [3/3]

autopas::GaussianHyperparameters::GaussianHyperparameters ( GaussianHyperparameters &&  gaussianHyperparameters )

defaultnoexcept

Move Constructor.

Parameters

gaussianHyperparameters

Member Function Documentation

operator=() [1/2]

autopas::GaussianHyperparameters & autopas::GaussianHyperparameters::operator= ( const GaussianHyperparameters &  gaussianHyperparameters )

default

Copy assignment operator.

Parameters

gaussianHyperparameters

Returns

operator=() [2/2]

autopas::GaussianHyperparameters & autopas::GaussianHyperparameters::operator= ( GaussianHyperparameters &&  gaussianHyperparameters )

defaultnoexcept

Move assignment operator.

Parameters

gaussianHyperparameters

Returns

precalculate()

void autopas::GaussianHyperparameters::precalculate	(	double	sigma,
		const std::vector< Eigen::VectorXd > &	inputs,
		const Eigen::VectorXd &	outputs
	)

Precalculate matrices needed for predictions.

Parameters

sigma	assumed noise
inputs	evidence input
outputs	evidence output

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

• autopas/tuning/tuningStrategy/GaussianModel/GaussianHyperparameters.h
• autopas/tuning/tuningStrategy/GaussianModel/GaussianHyperparameters.cpp