📄 learn.hpp
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/*
This file is part of Orange.
Orange 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.
Orange 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 Orange; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Authors: Janez Demsar, Blaz Zupan, 1996--2002
Contact: janez.demsar@fri.uni-lj.si
*/
#ifndef __LEARN_HPP
#define __LEARN_HPP
WRAPPER(Variable)
WRAPPER(Distribution)
WRAPPER(DomainDistributions)
WRAPPER(DomainContingency)
WRAPPER(ExampleGenerator)
/* A base for classes which can learn to classify examples after presented an appropriate learning set.
Learning is invoked by calling 'learn' method and can be forgoten by calling 'forget'. */
class ORANGE_API TLearner : public TOrange {
public:
__REGISTER_CLASS
enum {NeedsNothing, NeedsClassDistribution, NeedsDomainDistribution, NeedsDomainContingency, NeedsExampleGenerator};
int needs; //PR the kind of data that learner needs
TLearner(const int & = NeedsExampleGenerator);
virtual PClassifier operator()(PVariable);
virtual PClassifier operator()(PDistribution);
virtual PClassifier operator()(PDomainDistributions);
virtual PClassifier operator()(PDomainContingency);
virtual PClassifier operator()(PExampleGenerator, const int &weight = 0);
virtual PClassifier smartLearn(PExampleGenerator, const int &weight,
PDomainContingency = PDomainContingency(),
PDomainDistributions = PDomainDistributions(),
PDistribution = PDistribution());
};
class ORANGE_API TLearnerFD : public TLearner {
public:
__REGISTER_CLASS
PDomain domain; //P domain
TLearnerFD();
TLearnerFD(PDomain);
};
WRAPPER(Learner)
#endif
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