w2img::LinearRBF::UniformStrategy Class Reference

Inheritance diagram for w2img::LinearRBF::UniformStrategy:

List of all members.

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Detailed Description

Pass in the min, max and required number of centers for each of the components of the input vector to get a vector of uniformly spaced centers.

The training data are not used at all.m

If min = 0, max = 10 and number = 4, you will get centers at 2, 4, 6 and 8 i.e. there is nothing at the end points.

Public Member Functions
virtual	~UniformStrategy ()
virtual void	update (const std::vector< LinearRBF::Input > &inputs, const std::vector< double > &outputs, double &influence_radius, std::vector< LinearRBF::Input > &centers)
	sub-classes implement this method to update the two pieces of data.
	UniformStrategy (const LinearRBF::Input &minbounds, const LinearRBF::Input &maxbounds, const std::vector< size_t > &number)
	Pass in the min, max and required number of centers for each of the components of the input vector to get a vector of uniformly spaced centers.
void	update (const std::vector< LinearRBF::Input > &inputs, const std::vector< double > &outputs)
	update based on new training data.
double	getInfluenceRadius () const
const std::vector< LinearRBF::Input > &	getCenters () const
Static Public Member Functions
static double	findDistanceSquared (const std::vector< double > &a, const std::vector< double > &b)
static double	findAverageDistance (const std::vector< LinearRBF::Input > &)
Protected Member Functions
	UniformStrategy ()
	plan to call init later.
void	init (const LinearRBF::Input &minbounds, const LinearRBF::Input &maxbounds, const std::vector< size_t > &number)
Protected Attributes
double	influenceRadius
std::vector< LinearRBF::Input >	centers

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Constructor & Destructor Documentation

virtual w2img::LinearRBF::UniformStrategy::~UniformStrategy

(

)

[inline, virtual]

w2img::LinearRBF::UniformStrategy::UniformStrategy	(	const LinearRBF::Input &	minbounds,
		const LinearRBF::Input &	maxbounds,
		const std::vector< size_t > &	number
	)

Pass in the min, max and required number of centers for each of the components of the input vector to get a vector of uniformly spaced centers.

The training data are not used at all.m

If min = 0, max = 10 and number = 4, you will get centers at 2, 4, 6 and 8 i.e. there is nothing at the end points.

w2img::LinearRBF::UniformStrategy::UniformStrategy

(

)

[inline, protected]

plan to call init later.

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Member Function Documentation

static double w2img::LinearRBF::Strategy::findAverageDistance

(

const std::vector< LinearRBF::Input > &

)

[static, inherited]

static double w2img::LinearRBF::Strategy::findDistanceSquared	(	const std::vector< double > &	a,
		const std::vector< double > &	b
	)			[static, inherited]

const std::vector<LinearRBF::Input>& w2img::LinearRBF::Strategy::getCenters

(

)

const [inline, inherited]

double w2img::LinearRBF::Strategy::getInfluenceRadius

(

)

const [inline, inherited]

void w2img::LinearRBF::UniformStrategy::init	(	const LinearRBF::Input &	minbounds,
		const LinearRBF::Input &	maxbounds,
		const std::vector< size_t > &	number
	)			[protected]

void w2img::LinearRBF::Strategy::update	(	const std::vector< LinearRBF::Input > &	inputs,
		const std::vector< double > &	outputs
	)			[inherited]

update based on new training data.

virtual void w2img::LinearRBF::UniformStrategy::update	(	const std::vector< LinearRBF::Input > &	inputs,
		const std::vector< double > &	outputs,
		double &	influence_radius,
		std::vector< LinearRBF::Input > &	centers
	)			[virtual]

sub-classes implement this method to update the two pieces of data.

Implements w2img::LinearRBF::Strategy.

Reimplemented in w2img::LinearRBF::DataDrivenUniformStrategy, and w2img::LinearRBF::KMeansStrategy.

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Member Data Documentation

std::vector<LinearRBF::Input> w2img::LinearRBF::Strategy::centers [protected, inherited]

double w2img::LinearRBF::Strategy::influenceRadius [protected, inherited]

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