/usr/include/shogun/machine/MulticlassMachine.h is in libshogun-dev 3.2.0-7.5.
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 | /*
* 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) 1999-2011 Soeren Sonnenburg
* Written (W) 2012 Fernando José Iglesias García and Sergey Lisitsyn
* Written (W) 2013 Shell Hu and Heiko Strathmann
* Copyright (C) 2012 Sergey Lisitsyn, Fernando José Iglesias Garcia
*/
#ifndef _MULTICLASSMACHINE_H___
#define _MULTICLASSMACHINE_H___
#include <shogun/machine/BaseMulticlassMachine.h>
#include <shogun/lib/DynamicObjectArray.h>
#include <shogun/multiclass/MulticlassStrategy.h>
#include <shogun/labels/MulticlassLabels.h>
#include <shogun/labels/MulticlassMultipleOutputLabels.h>
namespace shogun
{
class CFeatures;
class CLabels;
/** @brief experimental abstract generic multiclass machine class */
class CMulticlassMachine : public CBaseMulticlassMachine
{
public:
/** default constructor */
CMulticlassMachine();
/** standard constructor
* @param strategy multiclass strategy
* @param machine machine
* @param labels labels
*/
CMulticlassMachine(CMulticlassStrategy* strategy, CMachine* machine, CLabels* labels);
/** destructor */
virtual ~CMulticlassMachine();
/** set labels
*
* @param lab labels
*/
virtual void set_labels(CLabels* lab);
/** set machine
*
* @param num index of machine
* @param machine machine to set
* @return if setting was successful
*/
inline bool set_machine(int32_t num, CMachine* machine)
{
ASSERT(num<m_machines->get_num_elements() && num>=0)
if (machine != NULL && !is_acceptable_machine(machine))
SG_ERROR("Machine %s is not acceptable by %s", machine->get_name(), this->get_name())
m_machines->set_element(machine, num);
return true;
}
/** get machine
*
* @param num index of machine to get
* @return SVM at number num
*/
inline CMachine* get_machine(int32_t num) const
{
return (CMachine*) m_machines->get_element_safe(num);
}
/** get outputs of i-th submachine
* @param i number of submachine
* @return outputs
*/
virtual CBinaryLabels* get_submachine_outputs(int32_t i);
/** get output of i-th submachine for num-th vector
* @param i number of submachine
* @param num number of feature vector
* @return output
*/
virtual float64_t get_submachine_output(int32_t i, int32_t num);
/** classify all examples
*
* @return resulting labels
*/
virtual CMulticlassLabels* apply_multiclass(CFeatures* data=NULL);
/** classify all examples with multiple output
*
* @return resulting labels
*/
virtual CMulticlassMultipleOutputLabels* apply_multiclass_multiple_output(CFeatures* data=NULL, int32_t n_outputs=5);
/** classify one example
* @param vec_idx
* @return label
*/
virtual float64_t apply_one(int32_t vec_idx);
/** get the type of multiclass'ness
*
* @return multiclass type one vs one etc
*/
inline CMulticlassStrategy* get_multiclass_strategy() const
{
SG_REF(m_multiclass_strategy);
return m_multiclass_strategy;
}
/** returns rejection strategy
*
* @return rejection strategy
*/
inline CRejectionStrategy* get_rejection_strategy() const
{
return m_multiclass_strategy->get_rejection_strategy();
}
/** sets rejection strategy
*
* @param rejection_strategy rejection strategy to be set
*/
inline void set_rejection_strategy(CRejectionStrategy* rejection_strategy)
{
m_multiclass_strategy->set_rejection_strategy(rejection_strategy);
}
/** get name */
virtual const char* get_name() const
{
return "MulticlassMachine";
}
/** get prob output heuristic of multiclass strategy */
inline EProbHeuristicType get_prob_heuris()
{
return m_multiclass_strategy->get_prob_heuris_type();
}
/** set prob output heuristic of multiclass strategy
* @param prob_heuris type of probability heuristic
*/
inline void set_prob_heuris(EProbHeuristicType prob_heuris)
{
m_multiclass_strategy->set_prob_heuris_type(prob_heuris);
}
protected:
/** init strategy */
void init_strategy();
/** clear machines */
void clear_machines();
/** train machine */
virtual bool train_machine(CFeatures* data = NULL);
/** abstract init machine for training method */
virtual bool init_machine_for_train(CFeatures* data) = 0;
/** abstract init machines for applying method */
virtual bool init_machines_for_apply(CFeatures* data) = 0;
/** check whether machine is ready */
virtual bool is_ready() = 0;
/** obtain machine from trained one */
virtual CMachine* get_machine_from_trained(CMachine* machine) = 0;
/** get num rhs vectors */
virtual int32_t get_num_rhs_vectors() = 0;
/** set subset to the features of the machine, deletes old one
*
* @param subset subset indices to set
*/
virtual void add_machine_subset(SGVector<index_t> subset) = 0;
/** deletes any subset set to the features of the machine */
virtual void remove_machine_subset() = 0;
/** whether the machine is acceptable in set_machine */
virtual bool is_acceptable_machine(CMachine *machine)
{
return true;
}
private:
/** register parameters */
void register_parameters();
protected:
/** type of multiclass strategy */
CMulticlassStrategy *m_multiclass_strategy;
/** machine */
CMachine* m_machine;
};
}
#endif
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