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0/basic_string::substrthundersvm-trainthundersvm-train.exeshrinking is not supportedUnknown option: basic_string::append.modelthundersvm-predict.exeUnknown option: -%c thundersvm-predictxؑ`0ЎpP0H(hX8xX8bool CMDParser::check_parameter()void CMDParser::parse_python(int, char**)void CMDParser::parse_command_line(int, char**)void HelpInfo_svmpredict()void HelpInfo_svmtrain()N2el4base6NoCopyEN2el4base6WriterE?vector::_M_range_insert%d:%fCheck failed: [] #instances = , #features = loading dataset from file " not found/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/dataset.cppsscanf(tuple.c_str(), "%d:%f", &i, &v) == 2read error, using [index]:[value] formatsscanf(tuple.c_str(), "%d:%f", &ind, &v) == 2void DataSet::load_from_dense(int, int, float*, float*)void DataSet::load_from_sparse(int, float*, int*, int*, float*)void DataSet::load_from_python(float*, char**, int)void DataSet::load_from_file(std::__cxx11::string)/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/kernelmatrix.cppdense_mat.size() == n_rows * n_features_dense matrix features doesn't matchkernel_rows.size() >= idx.size() * n_instances_kernel_rows memory is too smallkernel_rows.size() >= instances.size() * n_instances_ Q Q void KernelMatrix::dns_dns_mul(const SyncArray&, int, const SyncArray&, SyncArray&) constvoid KernelMatrix::dns_csr_mul(const SyncArray&, int, SyncArray&) constvoid KernelMatrix::get_rows(const node2d&, SyncArray&) constvoid KernelMatrix::get_rows(const SyncArray&, SyncArray&) constN2el8LoggableE9SyncArrayIfE9SyncArrayIiE/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/nusvc.cpprho = #sv = virtual void NuSVC::train_binary(const DataSet&, int, int, SyncArray&, float_type&)5NuSVC?5NuSVR/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/oneclass_svc.cppvirtual void OneClassSVC::train(const DataSet&, SvmParam)11OneClassSVC??Exceeds max_iter in multiclass_probLine search fails in two-class probability estimatesReaching maximal iterations in two-class probability estimates/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/svc.cpporiginal_index.size() == alpha[k].size()#classes = weighted label vector::_M_default_append#total unique sv = performing probability trainpredict with probabilitystd::vector SVC::predict_label(const SyncArray&, int)virtual void SVC::train_binary(const DataSet&, int, int, SyncArray&, float_type&)virtual void SVC::train(const DataSet&, SvmParam)virtual void SVC::model_setup(const DataSet&, SvmParam&)9SyncArrayIdE3SVC{Gzt?-q=@h㈵>-C6?|=?MbP?P?Hz> @int SvmModel::get_working_set_size(int, int)virtual void SvmModel::load_from_file(std::__cxx11::string)virtual void SvmModel::save_to_file(std::__cxx11::string)virtual std::vector SvmModel::cross_validation(DataSet, SvmParam, int)/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/svmmodel.cppsscanf(tuple.c_str(), "%d:%f", &sv.back().back().index, &sv.back().back().value) == 2y_predict.size() == test_idx.size()working set size = fs_model.is_open()create file failedsvm_type kernel_type degree gamma nr_class coef0 total_sv rho nr_sv SV probA probB :svm_typekernel_typedegreenr_classcoef0gammatotal_svrholabelnr_svprobAprobBSVerror when loading model file fold cross-validation (c_svcnu_svcone_classepsilon_svrnu_svrNULLlinearpolynomialrbfsigmoidprecomputed8SvmModelC/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/model/svr.cppvoid SVR::save_svr_coef(const SyncArray&, const node2d&)3SVR/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/solver/csmosolver.cpptraining startglobal iter = , total local iter = , diff = training finishedobj = void CSMOSolver::solve(const KernelMatrix&, const SyncArray&, SyncArray&, float_type&, SyncArray&, float_type, float_type, float_type, int, int) const10CSMOSolverMbP?11NuSMOSolverfeature == "svm_type"Nonespecified nu is infeasiblein auto-w/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/svm_R_interface.cppn_cores must be positive or -1class weight wrong input format!ddeFcQvoid predict_R(char**, char**, char**)int* train_R(char**, int*, int*, int*, char**, double*, double*, double*, double*, double*, int*, char**, int*, int*, int*, int*, int*, char**)?evaluating training score/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/svm_interface_api.cpp$ʓ[pvoid thundersvm_predict_sub(DataSet&, CMDParser&, char*, char*)void thundersvm_train_sub(DataSet&, CMDParser&, char*),]size() == source.size()/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/syncarray.cppdestination and source count doesn't matchvoid SyncArray::copy_from(const SyncArray&) [with T = double]void SyncArray::copy_from(const SyncArray&) [with T = float]void SyncArray::copy_from(const SyncArray&) [with T = int]/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/syncmem.cppCannot use GPU when compiling without GPU((data)) != nullptrvoid thunder::SyncMem::set_device_data(void*)void thunder::SyncMem::set_host_data(void*)void thunder::SyncMem::to_device()void thunder::SyncMem::to_host()void* thunder::SyncMem::device_data()P void 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*, SvmModel*)void 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*, SvmModel*)/home/runner/work/ml-builds/ml-builds/thundersvm/src/thundersvm/thundersvm-scikit.cppn_jobs must be positive or -1?St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EESt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EEN2el10LogBuilderESt15_Sp_counted_ptrIPN2el4base17DefaultLogBuilderELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN2el4base7StorageELN9__gnu_cxx12_Lock_policyE2EEbasic_string::at: __n (which is %zu) >= this->size() (which is %zu)abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-._ASSERTION FAILURE FROM EASYLOGGING++ (LINE: Configuration value not a valid integer [Configuration error - No ending quote found in [Empty configuration value for [) [(quotesStart + 1 != quotesEnd)) [*currLevel != Level::Unknown) [currConfig != ConfigurationType::UnknownUnable to open configuration file [Unable to parse configuration line: ) [(assertionPassed = base::utils::File::pathExists(configurationFile.c_str(), true)) == true%datetime %level [%logger] %msg%datetime %level [%logger] [%user@%host] [%func] [%loc] %msg%datetime %level-%vlevel [%logger] %msg%datetime %level [%logger] [%func] [%loc] %msg]. Not registering this logger.vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu)Aborting application. Reason: Fatal log at [ If you wish to disable 'abort on fatal log' please use el::Helpers::addFlag(el::LoggingFlag::DisableApplicationAbortOnFatalLog)Unable to open global configuration file [basic_string::erase%Y-%M-%d %H:%m:%s,%gGLOBALDEBUGINFOWARNINGERRORFATALTRACEUNKNOWNENABLEDFILENAMEFORMATTO_FILETO_STANDARD_OUTPUTSUBSECOND_PRECISIONPERFORMANCE_TRACKINGLOG_FLUSH_THRESHOLDMAX_LOG_FILE_SIZE##*basic_string::replace%level%levshortIWF%user%hostwhoamiUSERhostnameunknown-hostHOSTNAMETERMxtermxterm-colorxterm-256colorscreenlinuxcygwinscreen-256colordaysPMAM%app%logger%thread%file%fbase%line%loc%func%vlevel%datetimemap::at) [valid] WITH MESSAGE "%Y-%M-%d_%H-%m , 9.95.002-08-2017 2312hrsmaxLogFileSizelogFlushThresholdenabledtoFiletoStandardOutputperformanceTracking.c.cpp.cc.cxx.-inl.h.hxx.hpp.hh--verbose--VERBOSE--v--V-vmodule-VMODULETRUEtrue) [(quotesStart < quotesEnd)Unrecognized severity level [Unrecognized configuration [] for parsing.) 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