11 #ifndef STOCHASTICPROXIMITYEMBEDDING_H_
12 #define STOCHASTICPROXIMITYEMBEDDING_H_
84 void set_k(int32_t k);
90 int32_t
get_k()
const;
141 virtual const char*
get_name()
const;
169 int32_t m_max_iteration;
float distance(CJLCoverTreePoint p1, CJLCoverTreePoint p2, float64_t upper_bound)
Class Distance, a base class for all the distances used in the Shogun toolbox.
virtual ~CStochasticProximityEmbedding()
virtual CFeatures * apply(CFeatures *features)
class EmbeddingConverter (part of the Efficient Dimensionality Reduction Toolkit) used to construct e...
class StochasticProximityEmbedding used to construct embeddings of data using the Stochastic Proximit...
virtual const char * get_name() const
int32_t get_max_iteration() const
int32_t get_nupdates() const
void set_tolerance(float32_t tolerance)
CStochasticProximityEmbedding()
void set_max_iteration(const int32_t max_iteration)
void set_strategy(ESPEStrategy strategy)
void set_nupdates(int32_t nupdates)
all of classes and functions are contained in the shogun namespace
ESPEStrategy get_strategy() const
The class Features is the base class of all feature objects.
int32_t get_tolerance() const