ú΂ §[      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ3  !"#$%&'()*+,-./0124  !"#$%&'()*+,-./012[3%&'( !"#$)*+./, -0123    !"#$!"#$%&'(&'()*+,-./012(3456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVThe V function allows training a JI starting from a K  by specifying an 8 and a A WXYZ+3456789:;<=>?@ABCDEFGHIJKL\MN]OPQRSTUVW^XYZ/LKIJAHFDBGGEGEC8?=<:9@>>@;@>34567MNOPQRSTUVWXYZ(3456745678 ?=<:9@>>@;@>9:;<=>?@A HFDBGGEGECBCDEFGHIJJKLMNOPQRSTUVWXYZ_        !"#$$%&'()*+,-./01123456789:;<=>??@ABCDEFGHIJKLMNOPQRSTHSvm-0.1.0.2.89 Data.SVM.RawData.SVMc_clone_model_support_vectorsc_svm_destroy_modelc_svm_check_parameterc_svm_load_modelc_svm_save_model c_svm_predictc_svm_cross_validation c_svm_train CSvmModel CSvmParametersvm_type kernel_typedegreegammacoef0 cache_sizeepsc nr_weight weight_labelweightnup shrinking probability CKernelType unCKernelTypeCSvmType unCSvmType CSvmProblemlyxCSvmNodeindexvaluecSvcnuSvconeClass epsilonSvrnuSvrlinearpolyrbfsigmoid precomputed ExtraParam cacheSize Algorithm OneClassSvm EpsilonSvrepsilonNuSvrNuSvcCSvc KernelTypePolySigmoidRBFLinearModelProblemVector mergeKernel mergeAlgonewCSvmNodeArraynewCSvmProblemfreeCSVmProblem withProblem withParam checkParamtrain'traincrossValidate' saveModel loadModelpredict defaultCParam defaultExtra mergeExtra crossValidate