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Using -s 2 Warm-start parameter search only available for -s 0, -s 2 and -s 11 transposeError: cannot transpose training instance matrix Length of label vector does not match # of instances. Error: label vector and instance matrix must be double Error: label vector should not be in sparse formatTraining_instance_matrix must be sparse; use sparse(Training_instance_matrix) first Error: %s Error: can't convert libsvm model to matrix structure: %s -C6?{Gz???Y@Parametersnr_classnr_featurebiasLabelwL2R_LRL2R_L2LOSS_SVC_DUALL2R_L2LOSS_SVCL2R_L1LOSS_SVC_DUALMCSVM_CSL1R_L2LOSS_SVCL1R_LRL2R_LR_DUALL2R_L2LOSS_SVRL2R_L2LOSS_SVR_DUALL2R_L1LOSS_SVR_DUAL"@H" " "0H`````#HT'PLK$@ B`L@%@LJ $ EP@%@LJ$.* optimization finished, #iter = %d WARNING: reaching max number of iterations Objective value = %lf nSV = %d WARNING: reaching max number of iterations Using -s 2 may be faster (also see FAQ) WARNING: reaching max number of iterations Using -s 11 may be faster WARNING: reaching max number of iterations Using -s 0 may be faster (also see FAQ) ##nonzeros/#features = %d/%d WARNING: reaching max number of inner iterations iter %3d #CD cycles %d ========================= optimization finished, #iter = %d WARNING: reaching max number of iterations ERROR: unknown solver_type log2c=%7.2f rate=%g log2c=%7.2f p=%7.2f Mean squared error=%g warning: maximum C reached. WARNING: class label %d specified in weight is not found WARNING: # folds > # data. 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