/usr/include/shogun/distributions/Histogram.h is in libshogun-dev 3.1.1-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 90 91 92 93 94 95 96 97 98 99 | /*
* 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) 1999-2009 Soeren Sonnenburg
* Copyright (C) 1999-2009 Fraunhofer Institute FIRST and Max-Planck-Society
*/
#ifndef _HISTOGRAM_H___
#define _HISTOGRAM_H___
#include <shogun/features/StringFeatures.h>
#include <shogun/distributions/Distribution.h>
namespace shogun
{
template <class ST> class CStringFeatures;
/** @brief Class Histogram computes a histogram over all 16bit unsigned
* integers in the features.
*
* Values in histogram are absolute counts (logarithmic)
*/
class CHistogram : public CDistribution
{
public:
/** default constructor */
CHistogram();
/** constructor
*
* @param f histogram's features
*/
CHistogram(CStringFeatures<uint16_t>* f);
virtual ~CHistogram();
/** learn distribution
*
* @param data training data (parameter can be avoided if distance or
* kernel-based classifiers are used and distance/kernels are
* initialized with train data)
*
* @return whether training was successful
*/
virtual bool train(CFeatures* data=NULL);
/** get number of model parameters
*
* @return number of model parameters
*/
virtual int32_t get_num_model_parameters() { return (1<<16); }
/** get logarithm of given model parameter
*
* @param num_param which param
* @result logarithm of given model parameter
*/
virtual float64_t get_log_model_parameter(int32_t num_param);
/** get logarithm of one example's derivative's likelihood
*
* @param num_param which example's param
* @param num_example which example
* @return logarithm of example's derivative's likelihood
*/
virtual float64_t get_log_derivative(
int32_t num_param, int32_t num_example);
/** get logarithm of one example's likelihood
*
* @param num_example which example
* @return logarithm of example's likelihood
*/
virtual float64_t get_log_likelihood_example(int32_t num_example);
/** set histogram
*
* @param histogram new histogram
*/
virtual bool set_histogram(const SGVector<float64_t> histogram);
/** get histogram
*
* @return current histogram
*
*/
virtual SGVector<float64_t> get_histogram();
/** @return object name */
virtual const char* get_name() const { return "Histogram"; }
protected:
/** histogram */
float64_t* hist;
};
}
#endif
|