// @(#)root/tmva $Id$ // Author: Andrzej Zemla /********************************************************************************** * Project: TMVA - a Root-integrated toolkit for multivariate data analysis * * Package: TMVA * * Class : SVKernelFunction * * Web : http://tmva.sourceforge.net * * * * Description: * * Kernel for Support Vector Machine * * * * Authors (alphabetical): * * Marcin Wolter - IFJ PAN, Krakow, Poland * * Andrzej Zemla - IFJ PAN, Krakow, Poland * * (IFJ PAN: Henryk Niewodniczanski Inst. Nucl. Physics, Krakow, Poland) * * * * Copyright (c) 2005: * * CERN, Switzerland * * MPI-K Heidelberg, Germany * * PAN, Krakow, Poland * * * * Redistribution and use in source and binary forms, with or without * * modification, are permitted according to the terms listed in LICENSE * * (http://tmva.sourceforge.net/LICENSE) * **********************************************************************************/ #ifndef ROOT_TMVA_SVKernelFunction #define ROOT_TMVA_SVKernelFunction #include "RtypesCore.h" #include namespace TMVA { class SVEvent; class SVKernelFunction { public: enum EKernelType { kLinear , kRBF, kPolynomial, kSigmoidal, kMultiGauss, kProd, kSum}; SVKernelFunction(); SVKernelFunction( Float_t ); SVKernelFunction( EKernelType, Float_t, Float_t=0); SVKernelFunction( std::vector params ); SVKernelFunction(EKernelType k, std::vector kernels, std::vector gammas, Float_t gamma, Float_t order, Float_t theta); ~SVKernelFunction(); Float_t Evaluate( SVEvent* ev1, SVEvent* ev2 ); void setCompatibilityParams(EKernelType k, UInt_t order, Float_t theta, Float_t kappa); private: Float_t fGamma; // documentation // vector of gammas for multidimensional gaussian std::vector fmGamma; // kernel, order, theta, and kappa are for backward compatibility EKernelType fKernel; UInt_t fOrder; Float_t fTheta; Float_t fKappa; std::vector fKernelsList; }; } #endif