/*******************************************************************************
*
* This file is part of the General Hidden Markov Model Library,
* GHMM version __VERSION__, see http://ghmm.org
*
* Filename: ghmm/ghmm/gradescent.h
* Authors: Janne Grunau, Alexander Riemer, Benjamin Georgi
*
* Copyright (C) 1998-2004 Alexander Schliep
* Copyright (C) 1998-2001 ZAIK/ZPR, Universitaet zu Koeln
* Copyright (C) 2002-2004 Max-Planck-Institut fuer Molekulare Genetik,
* Berlin
*
* Contact: schliep@ghmm.org
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Library General Public
* License as published by the Free Software Foundation; either
* version 2 of the License, or (at your option) any later version.
*
* This library 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
* Library General Public License for more details.
*
* You should have received a copy of the GNU Library General Public
* License along with this library; if not, write to the Free
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
*
* This file is version $Revision: 2262 $
* from $Date: 2009-04-22 09:44:25 -0400 (Wed, 22 Apr 2009) $
* last change by $Author: grunau $.
*
*******************************************************************************/
#ifndef GHMM_GRADESCENT_H
#define GHMM_GRADESCENT_H
#ifdef __cplusplus
extern "C" {
#endif
/*----------------------------------------------------------------------------*/
/**
Trains the model with a set of annotated sequences till convergence using
gradient descent.
Model must not have silent states. (checked in Python wrapper)
@return trained model/NULL pointer success/error
@param mo: pointer to a ghmm_dmodel
@param sq: struct of annotated sequences
@param eta: intial parameter eta (learning rate)
@param no_steps number of training steps
*/
ghmm_dmodel* ghmm_dmodel_label_gradient_descent(ghmm_dmodel* mo, ghmm_dseq * sq,
double eta, int no_steps);
#ifdef __cplusplus
}
#endif
#endif