/usr/include/shogun/converter/TDistributedStochasticNeighborEmbedding.h is in libshogun-dev 3.2.0-7.3build4.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 | /*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* Written (W) 2013 Vladyslav S. Gorbatiuk
* Copyright (C) 2011-2013 Vladyslav S. Gorbatiuk
*/
#ifndef TDISTRIBUTEDSTOCHASTICNEIGHBOREMBEDDING_H_
#define TDISTRIBUTEDSTOCHASTICNEIGHBOREMBEDDING_H_
#include <shogun/lib/config.h>
#ifdef HAVE_EIGEN3
#include <shogun/converter/EmbeddingConverter.h>
#include <shogun/features/Features.h>
namespace shogun
{
/** @brief class CTDistributedStochasticNeighborEmbedding used to embed
* data using t-distributed stochastic neighbor embedding algorithm:
* http://jmlr.csail.mit.edu/papers/volume9/vandermaaten08a/vandermaaten08a.pdf.
*
* Uses implementation from the Tapkee library.
*
*/
class CTDistributedStochasticNeighborEmbedding : public CEmbeddingConverter
{
public:
/** constructor */
CTDistributedStochasticNeighborEmbedding();
/** destructor */
virtual ~CTDistributedStochasticNeighborEmbedding();
/** get name */
virtual const char* get_name() const;
/** apply preprocessor to features
*
* @param features features to embed
*/
virtual CFeatures* apply(CFeatures* features);
/** setter for the learning rate
*
* @param theta the learning rate
*/
void set_theta(const float64_t theta);
/** getter for the learning rate
*
* @return the learning rate theta
*/
float64_t get_theta() const;
/** setter for perplexity
*
* @param perplexity convergence parameter
*/
void set_perplexity(const float64_t perplexity);
/** getter for perplexity
*
* @return perplexity
*/
float64_t get_perplexity() const;
private:
/** default init */
void init();
private:
/** theta - learning rate */
float64_t m_theta;
/** perplexity */
float64_t m_perplexity;
}; /* class CTDistributedStochasticNeighborEmbedding */
} /* namespace shogun */
#endif /* HAVE_EIGEN3 */
#endif /* TDISTRIBUTEDSTOCHASTICNEIGHBOREMBEDDING_H_ */
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