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HoHL$ y@SH H3PHPPHȺ H [H%hPHL$H8t)H <HD$8H=HD$8HH=Hk=H;HD$@H<; ;;HkH ;HHkH "$HL HkH $HL H H8@SVWH@HOH3E3HT$`HOHt9Hd$8HL$hHT$`LHL$0LHL$pHL$(3H\$ ROǃ|H@_^[H\$Ht$WH3#3q#D3DAntelAGenuDҋ3ɍGE AineI$E ʉ\$DىL$T$ uPH ,#%?=t(=`t!=pt w$HHsD?AD?D?;|&3$\$L$T$  s ADV?Asp""AsUAsN3H H HT$ HD$ $<u2_"N"L"@ t 5"3"H\$(3Ht$0H_̸39$"Ã%>H\$UH$@Hٹt)3HMAHMjMHHHE3HMHtH@^HH^@UH HE te HM@HH ]@UH HE te HH-^H ]H04H@ıH]H H`tWH@DHXt@UH HHM`護H ]@UH HEXteXHM`HH ]H`H H%H`H逥HhH%H@]@UH HE te H@\H ]HPH`\H\H\H\@UH HE0te0HM@HH ]@UH HE0te0H`=\H ]@UH HE0te0HM@HHH ]@UH HE0 te0H`[H ]HPTHP[H[H[Hp[@UH HE0te0HPHH ]HPH H%@UH HE0te0HMPH8H ]@UH HE0te0HpZH ]HZH`4HxZ@UH HE0te0HM`HH ]H`H H%@UH HE0 te0HxZH ]@UH HE0@te0HM`H(H ]@UH HE0%te0HxYH ]@UH HE0%te0HM`HH ]Hh鄪@UH HE0t e0HMH@YH ]Hp$YHY@UH HE0te0HXH ]H`dH鄬HԯH`dHX鴩HH餩HXtX@UH HE$te$HM@HH ]@UH HE$te$HXXH ]@UH HE$@te$HXWH ]HXWH8W@UH HE t e HM8WH ]HhWHdH鄲HHH@WHH00W@UH H0HM(-H ]H(H`&HP%H`H(%H&HT$UH HHM@33H@%H@H(p%H0%H0H(P%HT$UH HHM@j33HT$UH H33HT$UH HHUHHM@33YHP%HHT%H($H $H8THP%Hh$H$HT$UH HLE HUxHMp33HT$UH HHM@ڟ33}HX$H(H@H(鄄@UHH3Ɂ8]@UH HM@H ]j@UH H臱M8H ]N@UH0HHHL$(T$ L oLEpUhHM`軰H0]H 4@SH HkHt6H|$0CuHH{ u HHPH|$0H [H ܬ8Rh>(ȝfR8$֜Ȝ|dL>ZFΉLĊ0j:*Rԍ"p6ZΏ<dАJDʒ<~@<^4BNx^B8ԃԕ(@ZxȖ p(>HR\fΗė&|44&V^jhnt|>FNbt̚ޙ$t>PDƘؘИҙƙІD ,xINFODEBUGWARNINGERRORFATALVERBOSETRACEIDWEFVT%app%logger%thread%level%levshort%datetime%file%fbase%line%loc%func%user%host%msg%vlevelSundayMondayTuesdayWednesdayThursdayFridaySaturdaySunMonTueWedThuFriSatJanuaryFebruaryMarchApriMayJuneJulyAugustSeptemberOctoberNovemberDecemberJanFebMarAprJunJulAugSepOctNovDec%Y-%M-%d %H:%m:%s,%g%Y-%M-%d_%H-%mAMPMdefaultperformancenullptruserunknown-hostlogs\myeasylog.log--default-log-file\abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-._##--*"r0r`r "r "rr " ss"pt t" t!`u "xvv@"xvv@"v "rw false Hvoid __cdecl HelpInfo_svmtrain(void)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\cmdparser.cppUsage (same as LibSVM): thundersvm [options] training_set_file [model_file] options: -s svm_type: set type of SVM (default 0) 0 -- C-SVC (multi-class classification) 1 -- nu-SVC (multi-class classification) 2 -- one-class SVM 3 -- epsilon-SVR (regression) 4 -- nu-SVR (regression) -t kernel_type: set type of kernel function (default 2) 0 -- linear: u'*v 1 -- polynomial: (gamma*u'*v + coef0)^degree 2 -- radial basis function: exp(-gamma*|u-v|^2) 3 -- sigmoid: tanh(gamma*u'*v + coef0) -d degree: set degree in kernel function (default 3) -g gamma: set gamma in kernel function (default 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 memory size: constrain the maximum memory size (MB) that thundersvm uses (default 8192) -e epsilon: set tolerance of termination criterion (default 0.001) -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 -u n: specify which gpu to use (default 0) -o n: set the number of cpu cores to use, -1 for maximum(default -1) -q: quiet modevoid __cdecl HelpInfo_svmpredict(void)Usage: svm-predict [options] test_file model_file output_file options: -m memory size: constrain the maximum memory size (MB) that thundersvm uses -u n: specify which gpu to use (default 0) thundersvm-trainthundersvm-train.exe/void __cdecl CMDParser::parse_command_line(int,char **)shrinking is not supportedn-fold cross validation: n must >= 2Unknown option: the number of cpu cores must be positive or -1.modelthundersvm-predictthundersvm-predict.exeUnknown option: -%c void __cdecl CMDParser::parse_python(int,char **)n-fold cross validation: n must >= 2 bool __cdecl CMDParser::check_parameter(void)unknown svm typeunknown kernel typegamma < 0degree of polynomial kernel < 0epsilon <= 0C <= 0nu <= 0 or nu > 1p < 0max memory size <= 0probability != 0 and probability != 1one-class SVM and SVR probability output not supported yetinvalid string positionstring too long?"w "ww "4x@x "x "yyX"zz " Pzz8"8{ p{"{|"L|`|"|| "|}("$}@}8"x}}8"}}~ "}T~~ "}~ "}8` "} " @ "}Ѐ "}H "}ā "},X "}("8 ` "}܃("}Dp "}؄ "}@8" "w "r " 0" 8 @"}ĉ " ,0" I0gUnknown exceptionO0gbad castJPf`rfrPxrPrNrTr Prr~rlrJeNekmxrТPp@pu@Oevoid __cdecl DataSet::load_from_file(class std::basic_string,class std::allocator >)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\dataset.cpploading dataset from file ""file not found%d:%fCheck failed: [sscanf(tuple.c_str(), "%d:%f", &i, &v) == 2] read error, using [index]:[value] format#instances = , #features = void __cdecl DataSet::load_from_python(float *,char **,int)sscanf(tuple.c_str(), "%d:%f", &ind, &v) == 2void __cdecl DataSet::load_from_sparse(int,float *,int *,int *,float *)void __cdecl DataSet::load_from_dense(int,int,float *,float *)vector too long" \" ""P"DX0"@"̎`"0@"| "} P"PQ P`void __cdecl KernelMatrix::get_rows(const class SyncArray &,class SyncArray &) constD:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\kernelmatrix.cppkernel_rows.size() >= idx.size() * n_instances_kernel_rows memory is too smallvoid __cdecl KernelMatrix::get_rows(const class std::vector >,class std::allocator > > > &,class SyncArray &) constkernel_rows.size() >= instances.size() * n_instances_void __cdecl KernelMatrix::dns_csr_mul(const class SyncArray &,int,class SyncArray &) constdense_mat.size() == n_rows * n_features_dense matrix features doesn't matchvoid __cdecl KernelMatrix::dns_dns_mul(const class SyncArray &,int,const class SyncArray &,class SyncArray &) const"P HQ@|w}HRPvoid __cdecl NuSVC::train_binary(const class DataSet &,int,int,class SyncArray &,double &)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\model\nusvc.cpprho = #sv = ?C??"H"  p8" < "(0void __cdecl OneClassSVC::train(const class DataSet &,struct SvmParam)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\model\oneclass_svc.cpp"}l "}Д "<$"8 p(""|  "LЙ"}ܚ "}x "0 "}Ĝ " ,@RHS"\6PbF0[S6PbF0'void __cdecl SVC::model_setup(const class DataSet &,struct SvmParam &)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\model\svc.cpp#classes = weighted label void __cdecl SVC::train(const class DataSet &,struct SvmParam)original_index.size() == alpha[k].size()#total unique sv = performing probability trainvoid __cdecl SVC::train_binary(const class DataSet &,int,int,class SyncArray &,double &)Exceeds max_iter in multiclass_prob class std::vector > __cdecl SVC::predict_label(const class SyncArray &,int)predict with probabilityLine search fails in two-class probability estimates Reaching maximal iterations in two-class probability estimates vector too long:AM:am:PM:pm-q=|=Hz>h㈵>-C6?{Gzt?P?@linearpolynomialrbfsigmoidprecomputedNULLc_svcnu_svcone_classepsilon_svrnu_svr" "0"`" "|"L|  "}T(" "8` (class std::vector > __cdecl SvmModel::cross_validation(class DataSet,struct SvmParam,int)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\model\svmmodel.cpp fold cross-validation ()y_predict.size() == test_idx.size()@T4void __cdecl SvmModel::save_to_file(class std::basic_string,class std::allocator >)fs_model.is_open()create file failedsvm_type kernel_type degree gamma coef0 nr_class total_sv rho label nr_sv probA probB SV :void __cdecl SvmModel::load_from_file(class std::basic_string,class std::allocator >)svm_typekernel_typedegreenr_classcoef0gammatotal_svrholabelnr_svprobAprobBSVsscanf(tuple.c_str(), "%d:%f", &sv.back().back().index, &sv.back().back().value) == 2error when loading model fileint __cdecl SvmModel::get_working_set_size(int,int)working set size = C_"8"Хvoid __cdecl SVR::save_svr_coef(const class SyncArray &,const class std::vector >,class std::allocator > > > &)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\model\svr.cpp"T"(void __cdecl CSMOSolver::solve(const class KernelMatrix &,const class SyncArray &,class SyncArray &,double &,class SyncArray &,double,double,double,int,int) constD:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\solver\csmosolver.cpptraining startglobal iter = , total local iter = , diff = training finishedobj = MbP?"0 "r"r"r, ` trueTU`r\6PbFm V6PbFV6PbFp(W\6PbF`XXint *__cdecl train_R(char **,int *,int *,int *,char **,double *,double *,double *,double *,double *,int *,char **,int *,int *,int *,int *,int *,char **)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\svm_R_interface.cppn_cores must be positive or -1D:/a/ml-builds/ml-builds/thundersvm/dataset/../R/Nonespecified nu is infeasible autoin auto -wclass weight wrong input format! = void __cdecl predict_R(char **,char **,char **)feature == "svm_type"?"rp"rvoid __cdecl thundersvm_train_sub(class DataSet &,class CMDParser &,char *)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\svm_interface_api.cppevaluating training scorevoid __cdecl thundersvm_predict_sub(class DataSet &,class CMDParser &,char *,char *)" "L|@ "px "Ь "L| "P "L| "p void __cdecl SyncArray::copy_from(const class SyncArray &)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\syncarray.cppsize() == source.size()destination and source count doesn't match[,]void __cdecl SyncArray::copy_from(const class SyncArray &)void __cdecl SyncArray::copy_from(const class SyncArray &)"L| "L|8 "L|x "L| "L|خ "L| Cannot use GPU when compiling without GPUvoid *__cdecl thunder::SyncMem::device_data(void)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\syncmem.cppvoid __cdecl thunder::SyncMem::to_host(void)void __cdecl thunder::SyncMem::to_device(void)void __cdecl thunder::SyncMem::set_host_data(void *)((data)) != nullptrvoid __cdecl thunder::SyncMem::set_device_data(void *)"r@"r 0void __cdecl sparse_model_scikit(int,float *,int *,int *,float *,int,int,int,float,float,float,float,float,float,int,int,int *,float *,int,int,int,int,int,int *,int *,int *,class SvmModel *)D:\a\ml-builds\ml-builds\thundersvm\src\thundersvm\thundersvm-scikit.cppn_jobs must be positive or -1void __cdecl dense_model_scikit(int,int,float *,float *,int,int,int,float,float,float,float,float,float,int,int,int *,float *,int,int,int,int,int,int *,int *,int *,class SvmModel *)?PYXZ @Zp @0Z""0P "} "}@ globaldebuginfowarningerrorfatalverbosetraceenabledto_fileto_standard_outputformatfilenamesubsecond_precisionmilliseconds_widthperformance_trackingmax_log_file_sizelog_flush_threshold@@@@N@N@8@@usmssecondsminuteshoursdays"0 "@"("T8"} "} "X "p " "p( "@"к("H/@ "rԽ "`h "` " " 0 "l "("<H "tH" " ""(" P("P@" x@" " "!p" "4HP"P"  @ "   "r  "P "x " " " " "@ "h " " " "}( "}X "r "} "r "r "}( "}X "r "r "} "}Hp "r "r0 "}Hp "} "r "8"("8 @"X"PX0" " "( "X " 8" 8 " ( "  " @"Xh8" " "0 "X`0" "4@8"4p8"} "8 "r "r "0" "  "rX "08"< "}8 "r " "$0 "` @"$0 "p`P"r` " " "}( " " D P" "@ ` "&0"0"x " " ( "  @"rP " " " "0 " ",@ "(" "P"X "r " "  "Th0"} "}@ "P8" %H" 0"dp"}H "}0"}(0"}H "}p "} "<@ "}X "}0"$8 "}p "}0"}0X "}0"} "}X0"} "}d "} "}4`0"} "} "}Lx0"}( "}X "}(P "}0: ` ka aМP7b@6d k0кк@0606""c kкк@0606Ppjb k0кк@0606Ppjp`0(d kdf kpкк@0606""hf kкк@0606Ppj e kкк@0606PpjX[ kX\p7f kкк 0606""f k`кк 0606P0i^ kpкк 0606P0ig kP`] k_ kp%X_PGLOBALUNKNOWNENABLEDFILENAMEFORMATTO_FILETO_STANDARD_OUTPUTSUBSECOND_PRECISIONPERFORMANCE_TRACKINGMAX_LOG_FILE_SIZELOG_FLUSH_THRESHOLD] does not exist!Configuration file [] WITH MESSAGE ") [(assertionPassed = base::utils::File::pathExists(configurationFile.c_str(), true)) == trueASSERTION FAILURE FROM EASYLOGGING++ (LINE: 30%datetime %level [%logger] %msg%datetime %level [%logger] [%user@%host] [%func] [%loc] %msg%datetime %level-%vlevel [%logger] %msg%datetime %level [%logger] [%func] [%loc] %msg] for parsing.Unable to open configuration file [) [fileStream_.is_open()Unable to parse configuration line: ) [parsedSuccessfullyConfiguration error - No ending quote found in [) [(quotesStart < quotesEnd)Empty configuration value for [) [(quotesStart + 1 != quotesEnd)Unrecognized severity level [) [*currLevel != Level::UnknownUnrecognized configuration [) [currConfig != ConfigurationType::Unknown..USERNAMECOMPUTERNAMETERMxtermxterm-colorxterm-256colorscreenlinuxcygwinscreen-256color=toFiletoStandardOutputlogFormatsubsecondPrecisionmillisecondsWidthperformanceTrackingfileStreammaxLogFileSizelogFlushThresholdTRUE1Configuration value not a valid integer [) [valid]. Not registering this logger.Invalid logger ID [) [validId.h.c.cpp.cc.cxx.-inl.h.hxx.hpp.hh-v--verbose-V--VERBOSE--v--V-vmodule-VMODULE%datetime %level %msgDefaultLogDispatchCallback , Logger [] is not registered yet!Aborting application. Reason: Fatal log at [el::Helpers::addFlag(el::LoggingFlag::DisableApplicationAbortOnFatalLog) If you wish to disable 'abort on fatal log' please use Fatal log at [ [Unable to open global configuration file [) [gcfStream.is_open()9.95.002-08-2017 2312hrsinvalid map keyinvalid vector subscript0h khФФ  k0iPP` ki0 k0j00ЩP kjpp p k0k@ kmap/set too longkp @ư>33?@@zDAccuracyMean Squared Error"@X""@""}$P "" "h"} 8  "}H p  "  ("   "  " @ ("}x   "  00l0gbad allocationj@" ""}` "}Px0??"r lt"r  api-ms-win-core-synch-l1-2-0.dllkernel32.dllInitializeConditionVariableSleepConditionVariableCSWakeAllConditionVariable(m0gbad array new lengthn(,^ LmWX`q q0HHHHI@HM8IPI`I@8I0IIII0@I(JJ@JXJJ@(J@JJJ0JJ KhKK LLMN0NLMN0 @J@K KK LLMN0NLMN@HL`L LLMN(PLLLMhM(@Lh@8MPMMhM@MMM@Mh@8M@M@XNpNNLMN@XNNNOOJ@N`hO@OOO LLMN`@hOXPOP0PIX@PpPP@XPXPPШPPQ(QPШ@PxQPQQQP@xQ QQR R @QHpRHRRR RH@pRpRRS SPp@RpSHSSS@pSSSTTS@ShT@TTTNLMN@hT0UT UxUK LLMN0NLMN0 @UxUUUUSx@UHV V`VxVS@HVVVVWTS@VPW(WhWWUS@PWWW@W (XX@XXXW @(X@XXXXW@@XY(Y`@YxYPYYYYI@xY@ZZYIZ0ZZXZZZ(Y@Z8[Z[0[(Y8@[ [X[[[[0\ @[@@\ \[@XP [X\\\\8]x@\@] ]\8]@M\]`]]]][@]M8I8^^P^x^^_[@8^@@^^^_[@(_@__[_X___HI@_H`_ `H`\\8]H@``p```I@`@\`@aaXaha@@a0aaaaP0@aX8bbPbhbPX@8bbbbb cc[@b@Hc`c cc[@ccc[HcccdPd(dhdd[@Pddddd@dHe e`eeef[@HeP@eeef[@8fPff[Pehf8ff@^f(_fP0ggHghg][P@0gggx@ggh@gXh0hphhg@Xh0hhhih0@hXi0ipiih@Xiiiijh@iXj0jpjjh@Xjjjjkh@j`Xk0kpkkh`@Xk0kkkl(Y0@kXl0lpllI@Xllllm@lȹPm(mhmmlIȹ@PmP.text$diPpu.text$mn .text$mn$00=.text$x`l.text$ydX.idata$5X.00cfgh.CRT$XCAp.CRT$XCLx.CRT$XCU.CRT$XCZ.CRT$XIA.CRT$XIC.CRT$XIZ.CRT$XLA.CRT$XLZ.CRT$XPA.CRT$XPZ.CRT$XTA.CRT$XTZq.rdata`H0.rdata$TH%.rdata$rmL.rdata$zzzdbgp.rtc$IAAq.rtc$IZZq.rtc$TAAq.rtc$TZZq.tlsq.tls$ q.tls$ZZZ0q.xdata P.xdata$xplf.edata{.idata$2|.idata$3|X.idata$488.idata$6.data .data$r.bsst4.pdata `.rsrc$01` .rsrc$02Rp`0B20T 4 2 p `!pLq!pLq!pLq  4 2p!  dT 9q! 9q!dT 9q4r p`0 Dr@8C.AZ  2PR04RpD3xN/hO+4 p`PXs(`pЇ((*--...O/c/1 b1y13 84R44D55555546E6k66 (41( p`PXsP2P*9q9999;;;d<t4PxPPPPPPPPPPPkA _ v F!]!!B"Y"""#9## #$$ $$j% %%=&&& 'P'g'@ f{  4 Rp`P!  v!v bTR0  B`0!KK Ft T . w!. w  B`0!KKFt  T `w!`w  4 2p bdrp`0`pTTOUlUU  T 4 R p`WW4 2 p`P! 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