sample_set.h

   1
   2 ///////////////////////////////////////////////////////////////////////////
   3 // This program is free software: you can redistribute it and/or modify  //
   4 // it under the terms of the version 3 of the GNU General Public License //
   5 // as published by the Free Software Foundation.                         //
   6 //                                                                       //
   7 // This program is distributed in the hope that it will be useful, but   //
   8 // WITHOUT ANY WARRANTY; without even the implied warranty of            //
   9 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU      //
  10 // General Public License for more details.                              //
  11 //                                                                       //
  12 // You should have received a copy of the GNU General Public License     //
  13 // along with this program. If not, see <http://www.gnu.org/licenses/>.  //
  14 //                                                                       //
  15 // Written by Francois Fleuret                                           //
  16 // (C) Idiap Research Institute                                          //
  17 //                                                                       //
  18 // Contact <francois.fleuret@idiap.ch> for comments & bug reports        //
  19 ///////////////////////////////////////////////////////////////////////////
  20
  21 /*
  22
  23   A SampleSet stands for a set of samples from R^d with their
  24   labels. It abstracts the notion features and is what the machine
  25   learning techniques of this software see.
  26
  27  */
  28
  29 #ifndef SAMPLE_SET_H
  30 #define SAMPLE_SET_H
  31
  32 #include "pose_cell.h"
  33 #include "pi_feature_family.h"
  34 #include "shared_responses.h"
  35
  36 class SampleSet {
  37   int _nb_features;
  38   int _nb_samples;
  39   SharedResponses *_shared_feature_values;
  40   scalar_t **_feature_values;
  41   int *_labels;
  42
  43 public:
  44
  45   inline int nb_samples() { return _nb_samples; }
  46   inline int nb_features() { return _nb_features; }
  47
  48   inline int label(int n_sample) {
  49     ASSERT(n_sample >= 0 && n_sample < _nb_samples);
  50     return _labels[n_sample];
  51   }
  52
  53   inline scalar_t feature_value(int n_sample, int n_feature) {
  54     ASSERT(n_sample >= 0 && n_sample < _nb_samples &&
  55            n_feature >= 0 && n_feature < _nb_features);
  56     ASSERT(!isnan(_feature_values[n_sample][n_feature]));
  57     return _feature_values[n_sample][n_feature];
  58   }
  59
  60   SampleSet(int nb_features, int nb_samples);
  61   SampleSet(SampleSet *father, int nb, int *indexes);
  62
  63   ~SampleSet();
  64
  65   void set_sample(int n,
  66                   PiFeatureFamily *pi_feature_family,
  67                   RichImage *image,
  68                   PoseCell *cell,
  69                   int label);
  70 };
  71
  72 #endif