ImplementationBase< RandomAccessIterator, KernelCallback, DistanceCallback, FeaturesCallback > Class Template Reference

#include <methods.hpp>

Public Member Functions
	ImplementationBase (RandomAccessIterator b, RandomAccessIterator e, KernelCallback k, DistanceCallback d, FeaturesCallback f, ParametersSet &pmap, const Context &ctx)
TapkeeOutput	embedUsing (DimensionReductionMethod method)

Private Member Functions
template<class Distance >
Neighbors	findNeighborsWith (Distance d)
TapkeeOutput	embedEmpty ()
TapkeeOutput	embedKernelLocallyLinearEmbedding ()
TapkeeOutput	embedKernelLocalTangentSpaceAlignment ()
TapkeeOutput	embedDiffusionMap ()
TapkeeOutput	embedMultidimensionalScaling ()
TapkeeOutput	embedLandmarkMultidimensionalScaling ()
TapkeeOutput	embedIsomap ()
TapkeeOutput	embedLandmarkIsomap ()
TapkeeOutput	embedNeighborhoodPreservingEmbedding ()
TapkeeOutput	embedHessianLocallyLinearEmbedding ()
TapkeeOutput	embedLaplacianEigenmaps ()
TapkeeOutput	embedLocalityPreservingProjections ()
TapkeeOutput	embedPCA ()
TapkeeOutput	embedRandomProjection ()
TapkeeOutput	embedKernelPCA ()
TapkeeOutput	embedLinearLocalTangentSpaceAlignment ()
TapkeeOutput	embedStochasticProximityEmbedding ()
TapkeeOutput	embedPassThru ()
TapkeeOutput	embedFactorAnalysis ()
TapkeeOutput	embedtDistributedStochasticNeighborEmbedding ()
TapkeeOutput	embedManifoldSculpting ()

Static Private Member Functions
static tapkee::ProjectingFunction	unimplementedProjectingFunction ()

Private Attributes
ParametersSet	parameters
Context	context
KernelCallback	kernel
DistanceCallback	distance
FeaturesCallback	features
PlainDistance < RandomAccessIterator, DistanceCallback >	plain_distance
KernelDistance < RandomAccessIterator, KernelCallback >	kernel_distance
RandomAccessIterator	begin
RandomAccessIterator	end
Parameter	eigen_method
Parameter	neighbors_method
Parameter	eigenshift
Parameter	traceshift
Parameter	check_connectivity
Parameter	n_neighbors
Parameter	width
Parameter	timesteps
Parameter	ratio
Parameter	max_iteration
Parameter	tolerance
Parameter	n_updates
Parameter	perplexity
Parameter	theta
Parameter	squishing_rate
Parameter	global_strategy
Parameter	epsilon
Parameter	target_dimension
IndexType	n_vectors
IndexType	current_dimension

Static Private Attributes
static const IndexType	SkipOneEigenvalue = 1
static const IndexType	SkipNoEigenvalues = 0

Detailed Description

template<class RandomAccessIterator, class KernelCallback, class DistanceCallback, class FeaturesCallback>
class tapkee::tapkee_internal::ImplementationBase< RandomAccessIterator, KernelCallback, DistanceCallback, FeaturesCallback >

Definition at line 42 of file methods.hpp.

Constructor & Destructor Documentation

ImplementationBase	(	RandomAccessIterator	b,
		RandomAccessIterator	e,
		KernelCallback	k,
		DistanceCallback	d,
		FeaturesCallback	f,
		ParametersSet &	pmap,
		const Context &	ctx
	)

Definition at line 46 of file methods.hpp.

Member Function Documentation

TapkeeOutput embedDiffusionMap ( )

private

Definition at line 228 of file methods.hpp.

TapkeeOutput embedEmpty ( )

private

Definition at line 198 of file methods.hpp.

TapkeeOutput embedFactorAnalysis ( )

private

Definition at line 474 of file methods.hpp.

TapkeeOutput embedHessianLocallyLinearEmbedding ( )

private

Definition at line 368 of file methods.hpp.

TapkeeOutput embedIsomap ( )

private

Definition at line 290 of file methods.hpp.

TapkeeOutput embedKernelLocallyLinearEmbedding ( )

private

Definition at line 204 of file methods.hpp.

TapkeeOutput embedKernelLocalTangentSpaceAlignment ( )

private

Definition at line 216 of file methods.hpp.

TapkeeOutput embedKernelPCA ( )

private

Definition at line 426 of file methods.hpp.

TapkeeOutput embedLandmarkIsomap ( )

private

Definition at line 309 of file methods.hpp.

TapkeeOutput embedLandmarkMultidimensionalScaling ( )

private

Definition at line 268 of file methods.hpp.

TapkeeOutput embedLaplacianEigenmaps ( )

private

Definition at line 377 of file methods.hpp.

TapkeeOutput embedLinearLocalTangentSpaceAlignment ( )

private

Definition at line 437 of file methods.hpp.

TapkeeOutput embedLocalityPreservingProjections ( )

private

Definition at line 386 of file methods.hpp.

TapkeeOutput embedManifoldSculpting ( )

private

Definition at line 497 of file methods.hpp.

TapkeeOutput embedMultidimensionalScaling ( )

private

Definition at line 247 of file methods.hpp.

TapkeeOutput embedNeighborhoodPreservingEmbedding ( )

private

Definition at line 351 of file methods.hpp.

TapkeeOutput embedPassThru ( )

private

Definition at line 467 of file methods.hpp.

TapkeeOutput embedPCA ( )

private

Definition at line 403 of file methods.hpp.

TapkeeOutput embedRandomProjection ( )

private

Definition at line 415 of file methods.hpp.

TapkeeOutput embedStochasticProximityEmbedding ( )

private

Definition at line 455 of file methods.hpp.

TapkeeOutput embedtDistributedStochasticNeighborEmbedding ( )

private

Definition at line 481 of file methods.hpp.

TapkeeOutput embedUsing

(

DimensionReductionMethod

method

)

Definition at line 99 of file methods.hpp.

Neighbors findNeighborsWith ( Distance  d )

private

Definition at line 188 of file methods.hpp.

static tapkee::ProjectingFunction unimplementedProjectingFunction ( )

staticprivate

Definition at line 193 of file methods.hpp.

Member Data Documentation

RandomAccessIterator begin

private

Definition at line 162 of file methods.hpp.

Parameter check_connectivity

private

Definition at line 169 of file methods.hpp.

Context context

private

Definition at line 155 of file methods.hpp.

IndexType current_dimension

private

Definition at line 185 of file methods.hpp.

DistanceCallback distance

private

Definition at line 157 of file methods.hpp.

Parameter eigen_method

private

Definition at line 165 of file methods.hpp.

Parameter eigenshift

private

Definition at line 167 of file methods.hpp.

RandomAccessIterator end

private

Definition at line 163 of file methods.hpp.

Parameter epsilon

private

Definition at line 181 of file methods.hpp.

FeaturesCallback features

private

Definition at line 158 of file methods.hpp.

Parameter global_strategy

private

Definition at line 180 of file methods.hpp.

KernelCallback kernel

private

Definition at line 156 of file methods.hpp.

KernelDistance<RandomAccessIterator,KernelCallback> kernel_distance

private

Definition at line 160 of file methods.hpp.

Parameter max_iteration

private

Definition at line 174 of file methods.hpp.

Parameter n_neighbors

private

Definition at line 170 of file methods.hpp.

Parameter n_updates

private

Definition at line 176 of file methods.hpp.

IndexType n_vectors

private

Definition at line 184 of file methods.hpp.

Parameter neighbors_method

private

Definition at line 166 of file methods.hpp.

ParametersSet parameters

private

Definition at line 154 of file methods.hpp.

Parameter perplexity

private

Definition at line 177 of file methods.hpp.

PlainDistance<RandomAccessIterator,DistanceCallback> plain_distance

private

Definition at line 159 of file methods.hpp.

Parameter ratio

private

Definition at line 173 of file methods.hpp.

const IndexType SkipNoEigenvalues = 0

staticprivate

Definition at line 152 of file methods.hpp.

const IndexType SkipOneEigenvalue = 1

staticprivate

Definition at line 151 of file methods.hpp.

Parameter squishing_rate

private

Definition at line 179 of file methods.hpp.

Parameter target_dimension

private

Definition at line 182 of file methods.hpp.

Parameter theta

private

Definition at line 178 of file methods.hpp.

Parameter timesteps

private

Definition at line 172 of file methods.hpp.

Parameter tolerance

private

Definition at line 175 of file methods.hpp.

Parameter traceshift

private

Definition at line 168 of file methods.hpp.

Parameter width

private

Definition at line 171 of file methods.hpp.

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

• methods.hpp