nag::tsne_results< FPType > Struct Template Reference

A type used to hold the details of a t-SNE analysis. More...

#include <SpecImage.hpp>

Public Member Functions
	tsne_results (tsne_results &&a)
	Move constructor. More...
	tsne_results ()=default
	Default constructor. More...
tsne_results &	operator= (tsne_results &&a)
	Move assignment operator. More...

Data Fields
int	k
	The number of dimensions in the embedding. More...
size_t	m
	The number of rows of the input matrix (and the number of rows of the lower dimensional embedding). This can be interpreted as the number of data points. More...
size_t	d
	The number of columns of the input matrix; equivalent to the number of dimensions of the input data. More...
FPType	kl_divergence
	The Kullback-Liebler divergence between the input data and the lower-dimensional embedding. More...
FPType	theta
	The parameter theta used in t-SNE; it represents a tradeoff between speed and accuracy: 0 is accurate but slow, 1 is faster but loses accuracy. More...
FPType	perplexity
	The perplexity used in the t-SNE algorithm. More...
std::unique_ptr< FPType[], cfree >	embedding
	The m by k lower-dimensional matrix, stored in column-major order. More...
int	total_iter
	The number of iterations that were performed. More...

Detailed Description

template<class FPType>
struct nag::tsne_results< FPType >

A type used to hold the details of a t-SNE analysis.

For more information see: nag::SpecImage::tsne.

Constructor & Destructor Documentation

template<class FPType>

nag::tsne_results< FPType >::tsne_results ( tsne_results< FPType > &&  a )

inline

Move constructor.

template<class FPType>

nag::tsne_results< FPType >::tsne_results ( )

default

Default constructor.

Member Function Documentation

template<class FPType>

tsne_results& nag::tsne_results< FPType >::operator= ( tsne_results< FPType > &&  a )

inline

Move assignment operator.

Field Documentation

template<class FPType>

size_t nag::tsne_results< FPType >::d

The number of columns of the input matrix; equivalent to the number of dimensions of the input data.

template<class FPType>

std::unique_ptr<FPType[], cfree> nag::tsne_results< FPType >::embedding

The m by k lower-dimensional matrix, stored in column-major order.

template<class FPType>

int nag::tsne_results< FPType >::k

The number of dimensions in the embedding.

template<class FPType>

FPType nag::tsne_results< FPType >::kl_divergence

The Kullback-Liebler divergence between the input data and the lower-dimensional embedding.

template<class FPType>

size_t nag::tsne_results< FPType >::m

The number of rows of the input matrix (and the number of rows of the lower dimensional embedding). This can be interpreted as the number of data points.

template<class FPType>

FPType nag::tsne_results< FPType >::perplexity

The perplexity used in the t-SNE algorithm.

template<class FPType>

FPType nag::tsne_results< FPType >::theta

The parameter theta used in t-SNE; it represents a tradeoff between speed and accuracy: 0 is accurate but slow, 1 is faster but loses accuracy.

template<class FPType>

int nag::tsne_results< FPType >::total_iter

The number of iterations that were performed.

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

• SpecImage.hpp