SHOGUN  v3.2.0
Histogram.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) 1999-2009 Soeren Sonnenburg
8  * Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
9  */
10 
11 #ifndef _HISTOGRAM_H___
12 #define _HISTOGRAM_H___
13 
16 
17 namespace shogun
18 {
19  template <class ST> class CStringFeatures;
20 
26 class CHistogram : public CDistribution
27 {
28  public:
30  CHistogram();
31 
37  virtual ~CHistogram();
38 
47  virtual bool train(CFeatures* data=NULL);
48 
53  virtual int32_t get_num_model_parameters() { return (1<<16); }
54 
60  virtual float64_t get_log_model_parameter(int32_t num_param);
61 
69  int32_t num_param, int32_t num_example);
70 
76  virtual float64_t get_log_likelihood_example(int32_t num_example);
77 
82  virtual bool set_histogram(const SGVector<float64_t> histogram);
83 
90 
92  virtual const char* get_name() const { return "Histogram"; }
93 
94  protected:
97 };
98 }
99 #endif
virtual bool set_histogram(const SGVector< float64_t > histogram)
Definition: Histogram.cpp:148
Base class Distribution from which all methods implementing a distribution are derived.
Definition: Distribution.h:41
virtual SGVector< float64_t > get_histogram()
Definition: Histogram.cpp:160
Class Histogram computes a histogram over all 16bit unsigned integers in the features.
Definition: Histogram.h:26
double float64_t
Definition: common.h:48
virtual const char * get_name() const
Definition: Histogram.h:92
virtual float64_t get_log_model_parameter(int32_t num_param)
Definition: Histogram.cpp:143
virtual ~CHistogram()
Definition: Histogram.cpp:33
float64_t * hist
Definition: Histogram.h:96
virtual bool train(CFeatures *data=NULL)
Definition: Histogram.cpp:38
all of classes and functions are contained in the shogun namespace
Definition: class_list.h:16
The class Features is the base class of all feature objects.
Definition: Features.h:62
virtual float64_t get_log_likelihood_example(int32_t num_example)
Definition: Histogram.cpp:82
virtual int32_t get_num_model_parameters()
Definition: Histogram.h:53
virtual float64_t get_log_derivative(int32_t num_param, int32_t num_example)
Definition: Histogram.cpp:104

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