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Error: label vector and instance matrix must be double Unknown option: -%c Error: can't read model: %s Model does not support probabiliy estimates Model supports probability estimates, but disabled in predicton. model file should be a struct array WARNING: using -h 0 may be faster .* WARNING: reaching max number of iterations optimization finished, #iter = %d WARNING: training data in only one class. See README for details. WARNING: class label %d specified in weight is not found Total nSV = %d WARNING: # folds > # data. Will use # folds = # data instead (i.e., leave-one-out cross validation) Model doesn't contain information for SVR probability inference wCsvm_type %s kernel_type %s degree %d gamma %g coef0 %g nr_class %d total_sv %d rho %glabel %dprobAprobBnr_svSV %.16g 0:%d %d:%.8g %80ssvm_typeunknown svm type. kernel_typeunknown kernel function. degree%dgamma%lfcoef0nr_classtotal_svSVunknown text in model file: [%s] rbERROR: fscanf failed to read model : unknown svm typeunknown kernel typegamma < 0degree of polynomial kernel < 0cache_size <= 0eps <= 0C <= 0nu <= 0 or nu > 1p < 0shrinking != 0 and shrinking != 1probability != 0 and probability != 1one-class SVM probability output not supported yetspecified nu is infeasibleProb. model for test data: target value = predicted value + z, z: Laplace distribution e^(-|z|/sigma)/(2sigma),sigma= %g obj = %f, rho = %f nSV = %d, nBSV = %d nu = %f C = %f epsilon = %f Line search fails in two-class probability estimates Reaching maximal iterations in two-class probability estimates Exceeds max_iter in multiclass_prob c_svcnu_svcone_classepsilon_svrnu_svrlinearpolynomialrbfsigmoidprecomputedcannot transpose SV matrixnumber of return field is not correctParameterstotalSVLabelsv_indicesProbAProbBnSVsv_coefSVs6G'3MB c A   5  /% U 6   lNPPUg'M-T444NSÀA::fN8<X XQa!@ tTtv,8 9 PPP0 P55`9P:=P>A`CizВ@PЯ0`еp@P0@йp`PPzRx zRx zPLRxE zRx zRx 4>HR\fpz$.8BLV`jt~ (2<FPZdnx0#$V\cmy0pp>EBF NJ 0@p@P I`pP@P^y'!8`D`%BpSAUAUBRAVApVBRCppVBRAVARAVARA[@_mexPrintfQq 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