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#ifndef _FFNet_PatternList_Categories_h_
#define _FFNet_PatternList_Categories_h_
/* FFNet_PatternList_Categories.h
*
* Copyright (C) 1994-2017 David Weenink
*
* This code 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 2 of the License, or (at
* your option) any later version.
*
* This code is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this work. If not, see <http://www.gnu.org/licenses/>.
*/
/*
djmw 19960821
djmw 20020712 GPL header
djmw 20110307 Latest mofification.
*/
#include "FFNet.h"
#include "PatternList.h"
#include "Categories.h"
#include "Minimizers.h"
void FFNet_PatternList_Categories_learnSD (FFNet me, PatternList p, Categories c, integer maxNumOfEpochs,
double tolerance, double learningRate, double momentum, int costFunctionType);
/* Steepest descent */
void FFNet_PatternList_Categories_learnSM (FFNet me, PatternList p, Categories c, integer maxNumOfEpochs,
double tolerance, int costFunctionType);
/* Conj. Gradient vdSmagt */
double FFNet_PatternList_Categories_getCosts_total (FFNet me, PatternList p, Categories c, int costFunctionType);
double FFNet_PatternList_Categories_getCosts_average (FFNet me, PatternList p, Categories c, int costFunctionType);
autoCategories FFNet_PatternList_to_Categories (FFNet me, PatternList p, int labeling);
/* classify the PatternList */
/* labeling = 1 : winner-takes-all */
/* labeling = 2 : stochastic */
/* Preconditions: I have labels */
#endif /* _FFNet_PatternList_Categories_h_ */
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