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ml_class_stats.h

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00001 /* ---------------------------------------------------------------------------
00002     Phission : 
00003         Realtime Vision Processing System
00004     
00005     Copyright (C) 2003-2005 Philip D.S. Thoren (pthoren@cs.uml.edu)
00006     University of Massachusetts at Lowell,
00007     Laboratory for Artificial Intelligence and Robotics
00008     
00009     This file is part of Phission.
00010 
00011     Phission is free software; you can redistribute it and/or modify
00012     it under the terms of the GNU General Public License as published by
00013     the Free Software Foundation; either version 2 of the License, or
00014     (at your option) any later version.
00015 
00016     Phission is distributed in the hope that it will be useful,
00017     but WITHOUT ANY WARRANTY; without even the implied warranty of
00018     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
00019     GNU General Public License for more details.
00020 
00021     You should have received a copy of the GNU General Public License
00022     along with Phission; if not, write to the Free Software
00023     Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
00024 
00025  ---------------------------------------------------------------------------*/
00026 #ifndef ML_CLASS_STATS_H
00027 #define ML_CLASS_STATS_H
00028 
00029 #include <stdint.h>
00030 #if USE_FILETYPE
00031 #else
00032     #include <sys/file.h>
00033     #include <sys/types.h>
00034     #include <sys/stat.h>
00035     #include <fcntl.h>
00036     #include <unistd.h>
00037 #endif
00038 #include <fann.h>
00039 
00040 #ifdef __cplusplus
00041 extern "C" {
00042 #endif
00043 
00044 /* ------------------------------------------------------------------------ */
00045 typedef struct ml_class_stats_t
00046 {
00047     uint32_t    num_outputs;
00048     fann_type   *output_node_values;
00049     
00050     uint32_t    output_matches_active;
00051     uint32_t    output_matches_inactive;
00052     
00053     /* if an output ~ 1.0 when it should be ~ 1.0 and 
00054      * ~ 0.0 when it should be 0.0 */
00055     uint32_t    correctly_classified;
00056     /* if an output ~ 1.0 when it should be ~ 0 */
00057     uint32_t    incorrectly_classified;
00058     
00059     uint32_t    output_nodes_active;
00060     uint32_t    output_nodes_inactive;
00061     
00062     /* per-epoch statistics on classifications */
00063     uint32_t    nclassifications;
00064     uint32_t    *node_correctly_classified;
00065     uint32_t    *node_incorrectly_classified;
00066 
00067     float       mse;
00068     
00069     int         print_output_nodes;
00070     int         print_aggregate;
00071     
00072 } ml_class_stats;
00073 
00074 int ml_class_stats_new( uint32_t        num_outputs,
00075                         ml_class_stats  **pstats );
00076 
00077 int ml_class_stats_free( ml_class_stats **pstats );
00078 
00079 int ml_class_stats_reset( ml_class_stats *stats );
00080  
00081 int ml_class_stats_classify( ml_class_stats *stats,
00082                              fann_type      *expected_output,
00083                              fann_type      *actual_output   );
00084 
00085 int ml_class_stats_set_mse( ml_class_stats *stats,
00086                             float           mse );
00087 
00088 int ml_class_stats_set_options( ml_class_stats *stats,
00089                                 int print_output_nodes,
00090                                 int print_aggregate );
00091 
00092 int ml_class_stats_headers_print( FILE           *log_fp, 
00093                                   ml_class_stats *stats,
00094                                   char          **tags, 
00095                                   uint32_t        ntags );
00096          
00097 int ml_class_stats_info_print( FILE             *fp, 
00098                                ml_class_stats   *stats );
00099  
00100 int ml_class_stats_row_print( FILE             *fp, 
00101                               int              epoch,
00102                               float            train_mse,
00103                               ml_class_stats   *train_stats,
00104                               ml_class_stats   *test_stats );
00105 #ifdef __cplusplus
00106 }
00107 #endif
00108 
00109 #endif /* define ML_CLASS_STATS_H */




Copyright (C) 2002 - 2007 Philip D.S. Thoren ( pthoren@users.sourceforge.net )
University Of Massachusetts at Lowell
Robotics Lab
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