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StreamingDotFeatures.h
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1 /*
2  * This program is free software; you can redistribute it and/or modify
3  * it under the terms of the GNU General Public License as published by
4  * the Free Software Foundation; either version 3 of the License, or
5  * (at your option) any later version.
6  *
7  * Written (W) 2011 Shashwat Lal Das
8  * Copyright (C) 2011 Berlin Institute of Technology and Max-Planck-Society
9  */
10 #ifndef _STREAMING_DOTFEATURES__H__
11 #define _STREAMING_DOTFEATURES__H__
12 
13 #include <shogun/lib/common.h>
17 
18 namespace shogun
19 {
43 {
44 
45 public:
48 
56  CStreamingDotFeatures(CStreamingFile* file, bool is_labelled, int32_t size);
57 
70  CStreamingDotFeatures(CDotFeatures* dot_features, float64_t* lab=NULL);
71 
72  virtual ~CStreamingDotFeatures();
73 
80  virtual float32_t dot(CStreamingDotFeatures* df)=0;
81 
87  virtual float32_t dense_dot(const float32_t* vec2, int32_t vec2_len)=0;
88 
106  virtual void dense_dot_range(float32_t* output, float32_t* alphas,
107  float32_t* vec, int32_t dim, float32_t b, int32_t num_vec=0);
108 
116  virtual void add_to_dense_vec(float32_t alpha, float32_t* vec2,
117  int32_t vec2_len, bool abs_val=false)=0;
118 
127  virtual void expand_if_required(float32_t*& vec, int32_t &len);
128 
137  virtual void expand_if_required(float64_t*& vec, int32_t &len);
138 
146  virtual int32_t get_dim_feature_space() const=0;
147 
154  virtual void* get_feature_iterator();
155 
162  virtual int32_t get_nnz_features_for_vector();
163 
174  virtual bool get_next_feature(int32_t& index, float32_t& value, void* iterator);
175 
181  virtual void free_feature_iterator(void* iterator);
182 
183 protected:
184 
187 };
188 }
189 #endif // _STREAMING_DOTFEATURES__H__

SHOGUN Machine Learning Toolbox - Documentation