/usr/include/BALL/QSAR/bayesModel.h is in libball1.4-dev 1.4.1+20111206-3.
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 | /* bayesModel.h
*
* Copyright (C) 2009 Marcel Schumann
*
* This file is part of QuEasy -- A Toolbox for Automated QSAR Model
* Construction and Validation.
* QuEasy 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.
*
* QuEasy 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 program; if not, see <http://www.gnu.org/licenses/>.
*/
// -*- Mode: C++; tab-width: 2; -*-
// vi: set ts=2:
//
//
#ifndef BAYESMODEL
#define BAYESMODEL
#include <BALL/QSAR/classificationModel.h>
namespace BALL
{
namespace QSAR
{
/** interface class for all Bayes classification models */
class BALL_EXPORT BayesModel : public ClassificationModel
{
public:
BayesModel(const QSARData& q);
virtual bool isTrained() = 0;
/** calculate the probability for the specified feature to assume the given value for each class
@return a probability for each class */
virtual vector<double> calculateProbabilities(int activitiy_index, int feature_index, double feature_value) = 0;
/** returns the number of response variables for which this model has been trained */
virtual int getNoResponseVariables() = 0;
protected:
/** the minimal desired difference between the predicted class and the second best class. If the difference is smaller than this value, undef_act_class_id_ should be used instead.*/
double min_prob_diff_;
/** the class_id that is to be assigned, if no class could be savely predicted, if difference between best and second best potential class is smaller than min_prob_diff_ */
double undef_act_class_id_;
};
}
}
#endif //BAYESMODEL
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