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1/num_features) -r coef0 : set coef0 in kernel function (default 0) -c cost : set the parameter C of C-SVC, epsilon-SVR, and nu-SVR (default 1) -n nu : set the parameter nu of nu-SVC, one-class SVM, and nu-SVR (default 0.5) -p epsilon : set the epsilon in loss function of epsilon-SVR (default 0.1) -m cachesize : set cache memory size in MB (default 100) -e epsilon : set tolerance of termination criterion (default 0.001) -h shrinking : whether to use the shrinking heuristics, 0 or 1 (default 1) -b probability_estimates : whether to train a SVC or SVR model for probability estimates, 0 or 1 (default 0) -wi weight : set the parameter C of class i to weight*C, for C-SVC (default 1) -v n : n-fold cross validation mode -q : quiet mode (no outputs) Error: cannot transpose training instance matrix Length of label vector does not match # of instances. Wrong input format: sample_serial_number out of range n-fold cross validation: n must >= 2 Cross Validation Mean squared error = %g Cross Validation Squared correlation coefficient = %g Cross Validation Accuracy = %g%% Error: label vector and instance matrix must be double Error: cannot generate a full training instance matrix Error: can't convert libsvm model to matrix structure: %s transposeUnknown option -%c fullError: %s ) !VY !!!!!4 !{! !??BMbP??unknown svm typeunknown kernel typegamma < 0cache_size <= 0eps <= 0C <= 0p < 0specified nu is infeasiblenu <= 0 or nu > 1wsvm_type %s kernel_type %s degree %d gamma %g coef0 %g nr_class %d total_sv %d rho %glabel %dprobAprobBnr_svSV 0:%d %d:%.8g %.16g rbc_svclinear%80ssvm_typeunknown svm type. kernel_typeunknown kernel function. degreegamma%lfcoef0nr_classtotal_sv: *.nu = %f C = %f epsilon = %f obj = %f, rho = %f nSV = %d, nBSV = %d Total nSV = %d nu_svcone_classepsilon_svrnu_svrpolynomialrbfsigmoidprecomputeddegree of polynomial kernel < 0shrinking != 0 and shrinking != 1probability != 0 and probability != 1one-class SVM probability output not supported yetwarning: svm_destroy_model is deprecated and should not be used. Please use svm_free_and_destroy_model(svm_model **model_ptr_ptr) Model doesn't contain information for SVR probability inference unknown text in model file: [%s] Warning: using -h 0 may be faster optimization finished, #iter = %d Exceeds max_iter in multiclass_prob Prob. model for test data: target value = predicted value + z, z: Laplace distribution e^(-|z|/sigma)/(2sigma),sigma= %g warning: class label %d specified in weight is not found Line search fails in two-class probability estimates Reaching maximal iterations in two-class probability estimates eeeeP?{Gzt?h㈵>-C6?|=number of return field is not correctcannot transpose SV matrixParameterstotalSVLabelProbAProbBnSVsv_coefSVs;V@AEAkAA0AB <I>&AB OXS>AAB Txt>AB T@AB QCAB THAB QJAB WMAB 4MAB PLB lMAB LG=AB HMRAB RAB Ix6AB ULB  0MAB H@MAB I`PAB X|QAB TR>AB IUAB ^HVAB T AB  AB 0RAB KP AB lLB W AB W AB W2AB GDWDAB W.AB X.AB L4l.AB LP.AB LlWBAB QI WAB INTP[:AB INp[AB I\:AB W \AB N0^AB TP``AD IpAB L@AB LAB I`PAB TaPAB T0aEAB L,da_AB RHaAB N h(gAB CCLg AB NfAB YruAB T^rAB I tAB I,4w AB IL$y`AB QFldyXAB QFyXAB QFzPLR|  $$4AB QFU$LAB QFU$t}AB QFF$\uAB QFF$AB QFF$LAB QFFx AB L 4tcvAB N AB I `nAB T @ AB IQd lAB W SAB IQ LdAB M dAB M AB LFN  AB LQT c5AB N$ AB CMx AB N X'AB N AB N xAB N Az` Ar` 2kQx 2cQp22 i i+,,---h- ' - - - d-+*++:++-,,:,,,,2,,++ -!-!-"-$-%,%,&n-(.(.),++++! !(,40-1pT0(,VЬ`YY P0 4``0\Юpp` ` 8o`  ( `o oo8 oot oZhh0 @ `&6FVfv&6FVfv&6FVfv&6F,4GCC: (Ubuntu 4.4.3-4ubuntu5) 4.4.3.symtab.strtab.shstrtab.note.gnu.build-id.gnu.hash.dynsym.dynstr.gnu.version.gnu.version_d.gnu.version_r.rel.dyn.rel.plt.init.text.fini.rodata.eh_frame_hdr.eh_frame.gcc_except_table.ctors.dtors.jcr.data.rel.ro.dynamic.got.got.plt.data.bss.comment$288(.o``$8 P@Hot t Uo 8do8 8 s ( ( `|  ``0PP $$,,4488L`H `H 0H#k  8`t  8 (   `  P $,48` $,(45P K`Zdh t(4 ;A ! ! z    J M   ( o   " ' ,4 J4B f9 8P F Qu t :e @e Fe Le R0e Xf ^g dXg jf pf vt }0t Ht t s | |~  v y  (`. k  0. 2' G9: b @_ z  '  4D   , M a32 pv 0?P 0 V  @ rd X8 53  FF  Ugs@> 0    ЬM `' 5 Z  q8: YX h-> ?P ll | &3  7@' Z(  4 `  ` 0 0+ 0dc \hi"" + 0S ,    4  hn ( \ 3 H?  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