MetaParametersGPR Class Reference

Meta-parameters for the Gaussian Process Regression (GPR) function approximator. More...

#include <MetaParametersGPR.hpp>

Inheritance diagram for MetaParametersGPR:

Collaboration diagram for MetaParametersGPR:

Public Member Functions
	MetaParametersGPR (int expected_input_dim, double maximum_covariance, double sigma)
	Constructor for the algorithmic meta-parameters of the GPR function approximator. More...
	MetaParametersGPR (int expected_input_dim, double maximum_covariance, const Eigen::VectorXd &sigmas)
	Constructor for the algorithmic meta-parameters of the GPR function approximator. More...
MetaParametersGPR *	clone (void) const
	Return a pointer to a deep copy of the MetaParameters object. More...
std::string	toString (void) const
	Returns a string representation of the object. More...
double	maximum_covariance () const
	Return the maximum covariance of the covariance function. More...
const Eigen::VectorXd &	sigmas () const
	Return the sqrt of the diagonal of the covariance matrix in the Gaussian covariance function. More...
Public Member Functions inherited from MetaParameters
	MetaParameters (int expected_input_dim)
	Constructor. More...
virtual	~MetaParameters (void)
	Virtual destructor, because this is a base class.
int	getExpectedInputDim (void) const
	The expected dimensionality of the input data. More...
virtual int	getExpectedOutputDim (void) const
	The expected dimensionality of the output data. More...

Friends
class	boost::serialization::access
	Give boost serialization access to private members. More...

Additional Inherited Members
Protected Member Functions inherited from MetaParameters
	MetaParameters (void)
	Default constructor. More...

Detailed Description

Meta-parameters for the Gaussian Process Regression (GPR) function approximator.

Definition at line 39 of file MetaParametersGPR.hpp.

Constructor & Destructor Documentation

MetaParametersGPR	(	int	expected_input_dim,
		double	maximum_covariance,
		double	sigma
	)

Constructor for the algorithmic meta-parameters of the GPR function approximator.

Parameters

[in]	expected_input_dim	Expected input dimensionality. Useful for debugging.
[in]	maximum_covariance	The maximum allowable covariance of the covar function (aka sigma)
[in]	sigma	Standard deviation in the isotropic covariance function, i.e. , with

Definition at line 52 of file MetaParametersGPR.cpp.

:
  MetaParameters(expected_input_dim),
  maximum_covariance_(maximum_covariance),
  sigmas_(VectorXd::Constant(expected_input_dim,length))
{
  assert(maximum_covariance_>0);
  assert(length>0);
}

MetaParametersGPR	(	int	expected_input_dim,
		double	maximum_covariance,
		const Eigen::VectorXd &	sigmas
	)

Constructor for the algorithmic meta-parameters of the GPR function approximator.

Parameters

[in]	expected_input_dim	Expected input dimensionality. Useful for debugging.
[in]	maximum_covariance	The maximum allowable covariance of the covar function (aka sigma)
[in]	sigmas	Standard deviation in the isotropic covariance function, i.e. , with

Definition at line 62 of file MetaParametersGPR.cpp.

:
  MetaParameters(expected_input_dim),
  maximum_covariance_(maximum_covariance),
  sigmas_(sigmas)
{
  assert(maximum_covariance_>0);
  assert(sigmas.size()==expected_input_dim);
}

Member Function Documentation

MetaParametersGPR * clone ( void  ) const

virtual

Return a pointer to a deep copy of the MetaParameters object.

Returns

Pointer to a deep copy

Implements MetaParameters.

Definition at line 72 of file MetaParametersGPR.cpp.

{
  return new MetaParametersGPR(getExpectedInputDim(),maximum_covariance_,sigmas_);
}

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string toString ( void  ) const

virtual

Returns a string representation of the object.

Returns

A string representation of the object.

Implements MetaParameters.

Definition at line 87 of file MetaParametersGPR.cpp.

{
  RETURN_STRING_FROM_BOOST_SERIALIZATION_XML("MetaParametersGPR");
}

double maximum_covariance ( ) const

inline

Return the maximum covariance of the covariance function.

Returns

Maximum covariance

Definition at line 65 of file MetaParametersGPR.hpp.

{ return maximum_covariance_; }

const Eigen::VectorXd& sigmas ( ) const

inline

Return the sqrt of the diagonal of the covariance matrix in the Gaussian covariance function.

Returns

sqrt of the diagonal of the covariance matrix in the Gaussian covariance function

Definition at line 70 of file MetaParametersGPR.hpp.

{ return sigmas_; }

Friends And Related Function Documentation

friend class boost::serialization::access

friend

Give boost serialization access to private members.

Definition at line 84 of file MetaParametersGPR.hpp.

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

• MetaParametersGPR.hpp
• MetaParametersGPR.cpp