g      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefNone CI7  !"#$%&'()*+,-./01234564  !"#$%&'()*+,-./01237 65)*+./, -01234('&%$#"!  !"#$%&'()*+,-./0123456NoneaThe a function allows training a R starting from a T by specifying an A and a J+<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdef+<=?@>ABCDEFGHIJKLMNQOPRSTUVWXYZ[\]^_`abcdef2UTRSJKLMNOOPOPQABCDEFGHHGIGH<=>?@VWXYZ[\]^_`abcdef<=>?@A BCDEFGHHGIGHJ KLMNOOPOPQRSTUVWXYZ[\]^_`abcdefg      !"#$%&'()*+,-./0123456789::;<=>?@A BCDEFG HHIJKLMNOPQRSTUVWXYZ[\%HSvm-0.1.0.2.90-A07Jmhaayw5buGnBXM2ld Data.SVM.RawData.SVM CSvmModel CSvmParametersvm_type kernel_typedegreegammacoef0 cache_sizeepsc nr_weight weight_labelweightnup shrinking probability CKernelType unCKernelTypeCSvmType unCSvmType CSvmProblemlyxCSvmNodeindexvaluec_clone_model_support_vectorsc_svm_destroy_modelc_svm_check_parameterc_svm_load_modelc_svm_save_model c_svm_predictc_svm_cross_validation c_svm_traincSvcnuSvconeClass epsilonSvrnuSvrlinearpolyrbfsigmoid precomputed defaultCParam$fStorableCSvmParameter$fStorableCSvmProblem$fStorableCSvmNode$fStorableCSvmType$fShowCSvmType$fStorableCKernelType$fShowCKernelType$fShowCSvmParameter ExtraParam cacheSize AlgorithmCSvcNuSvcNuSvr EpsilonSvr OneClassSvmepsilon KernelTypeLinearRBFSigmoidPolyModelProblemVector defaultExtra mergeKernel mergeAlgo mergeExtranewCSvmNodeArraynewCSvmProblemfreeCSVmProblem withProblem withParam checkParamtrain'traincrossValidate' crossValidate saveModel loadModelpredict