📄 gdaftlearner.h
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/* Copyright (C) 2006, Mike Gashler This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version. see http://www.gnu.org/copyleft/lesser.html*/#ifndef __GDAFTLEARNER_H__#define __GDAFTLEARNER_H__class GDaftNode;class GArffRelation;class GArffData;class GStringHeap;class GAVLTree;class GMatrix;// Uses the Divide And Fit Technique for learning--this is still an experimental algorithmclass GDaftLearner{protected: GArffRelation* m_pRelation; GArffRelation* m_pDivideRelation; GDaftNode* m_pRoot; GArffData* m_pTrainingData; double m_dAcceptableError; double m_dGoodDivideWeight;public: GDaftLearner(GArffRelation* pRelation); ~GDaftLearner(); void SetAcceptableError(double d) { m_dAcceptableError = d; } void SetGoodDivideWeight(double d) { m_dGoodDivideWeight = d; } void Train(GArffData* pData); void Eval(double* pRow);protected: GDaftNode* BuildBranch(GArffData* pData, double dScale, int nDepth); double FindBestDivision(GArffData* pData, int nDepth); void DivideData(double dDivide, GArffData* pData, GArffData* pPositive, GArffData* pNegative, int nDepth); double EvalHelper(double* pRow, GDaftNode* pNode, double* pSample, int nDepth);};#endif // __GDAFTLEARNER_H__
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