Internally used Kernel structure. More...

#include <LLM.h>

Public Member Functions
	Kernel ()
	Empty base constructor. More...

	Kernel (unsigned int inputDim, unsigned int outputDim)
	Default constructur with given input an output dimension. More...

	Kernel (const Kernel &k)
	Copy constructor (deep copy) More...

	~Kernel ()
	Destructor. More...

Kernel &	operator= (const Kernel &k)
	Assignment operator (deep copy) More...

void	show (unsigned int idx=0) const
	shows a kernel to std::out More...

void	set (const float w_in, const float w_out, const float *A)
	updates the kernels internal values More...

Public Attributes
float *	w_in
	input weight (prototype vector) of this kernel More...

float *	w_out
	output weight of this kernel More...

float *	A
	matrix for the linear map More...

float *	dw_in
	buffer for last input weight update More...

float *	var
	variance-vector of the Gaussian kernel (trace(Cxx)) More...

unsigned int	inputDim
	input dimension More...

unsigned int	outputDim
	output dimension More...

Detailed Description

Internally used Kernel structure.

Constructor & Destructor Documentation

◆ Kernel() [1/3]

icl::math::LLM::Kernel::Kernel ( )

Empty base constructor.

◆ Kernel() [2/3]

icl::math::LLM::Kernel::Kernel	(	unsigned int	inputDim,
		unsigned int	outputDim
	)

Default constructur with given input an output dimension.

◆ Kernel() [3/3]

icl::math::LLM::Kernel::Kernel ( const Kernel & k )

Copy constructor (deep copy)

◆ ~Kernel()

icl::math::LLM::Kernel::~Kernel ( )

Destructor.

Member Function Documentation

◆ operator=()

Kernel& icl::math::LLM::Kernel::operator= ( const Kernel & k )

Assignment operator (deep copy)

◆ set()

void icl::math::LLM::Kernel::set	(	const float *	w_in,
		const float *	w_out,
		const float *	A
	)

updates the kernels internal values

the given data is copied deeply into the kernel, i.e. the kernel's internal data pointers remain untouched. Only the given data is is copied to where the data pointers point.

Parameters

w_in	input weight vector (needs to be of size inputDim)
w_out	output weight vector (needs to be of size outputDim)
A	slope matrix (needs to be of size inputDim * outputDim) the data layout is rowmajor

◆ show()

void icl::math::LLM::Kernel::show ( unsigned int idx = 0 ) const

shows a kernel to std::out

Member Data Documentation

◆ A

float* icl::math::LLM::Kernel::A

matrix for the linear map

◆ dw_in

float* icl::math::LLM::Kernel::dw_in

buffer for last input weight update

◆ inputDim

unsigned int icl::math::LLM::Kernel::inputDim

input dimension

◆ outputDim

unsigned int icl::math::LLM::Kernel::outputDim

output dimension

◆ var

float* icl::math::LLM::Kernel::var

variance-vector of the Gaussian kernel (trace(Cxx))

◆ w_in

float* icl::math::LLM::Kernel::w_in

input weight (prototype vector) of this kernel

◆ w_out

float* icl::math::LLM::Kernel::w_out

output weight of this kernel

The documentation for this struct was generated from the following file:

/Users/alneuman/vm/icl/ICLMath/src/ICLMath/LLM.h

Public Member Functions

Public Attributes