vendor/libxlearn_api.so in xlearn-0.1.2 vs vendor/libxlearn_api.so in xlearn-0.1.3

- old
+ new

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H5˅HiHl$H5HiHٺlHZHIH5YCH5|@L/H5|LlL>HIH5H5LH5L1LHIH5GH5HLH5L1LH5 HMH|$HH9tH|$0HH9tH|$ =HH|$ &HH|$HIH9txLH|$0HH9tbHf.UH5HSHH\!HH߾ H5vHHHH5H߾H5vHH`HߺH5zLHUHHu<H5/HH%H1KH5XvHHHH@HHtH}8tuCHH[H]HHE +H@0H;Z!tHAWAVAUATIUSHHv$M,$D$$D$ dH%(H$1I9Aׅ$]HTMHL9tQL7HIHWL)HHL)HH9LWLL)HHH9-L9tLHkD$D{HK(LC0LK8C$C D$ C$H$dH3%(%HĘ[]A\A]A^A_f.E1HtIHH9 +HLL$(LD$ HL$Ht$YL3LL$(ILD$ HL$Ht$L9t,HLLLL$ LD$HL$LL$ LD$HL$Mt&LLL$ LD$HL$BLL$ LD$HL$LL#Hk@ItI9u~I9LLLL$ H)LD$HL$PH+LL$ LD$HL$fHLLLL$ LD$HL$H+HL$LD$LL$ [@LLLL$ LD$HL$LSL3M\$LL$ LLD$L)I4$HL$I9 >H\$`D$<H5HcHl$@H5;HcHٺ:H HIH5H5ALkH5=vLW:LzHIH53H5]rLH5(LH|$@HH9tmH|$`HH9tZH|$<H\$`D$<H5~HbHl$@H5;~HbHٺ9HHIH5H5~ALkH5=uLW9LzHIH53H5 LH5:L $L,HIH5~H5 BLH5L1LH5@HH\$`D$<H5}HaHl$@H5|HaHٺ8HZHIH5YCH5|AL/H5tL8L>HIH5H5LH5LDLHIH5FH5@LH5L1LH5HLW2H\$`D$<H5N|Hv`Hl$@H5{Hb`Hٺ;H HIH5 H5{ALH5rL;LHIH5SH5[LH5LwH\$`D$<H5~{H_Hl$@H5zH_Hٺ7HMHIH5 6H5zAL"H5qL7L1HIH5H5QqLH5L1ID$LI9$@HIH5-H5lLH5LlLOH5H0;&H|$@HIH9tLH|$`HH9tH|$<HHHfDAWIAVIAUIATUHSHHdH%(HD$1HGI)H)HL$L9ILHItKIM?H`S!LxHLH$HHH$O!?H<$HtHPH}HML9/HHfH)HH0HHHrH@L9uLH)LtI9tHLLfDHH0HHHHrH9uIHL)HMtH9t'H?HDH8HH9uHtH]LHD$dH3%(LuH]H[]A\A]A^A_fAIHI9kMu1qLsI9yHI9HH9HHu7I>u^H<$HHtHPHHOHHf.HgAWAVIAUATIUHSHHLoHGML)HH9ML9I)LHH9!HLLH)I9tHHLH $ID$H $HID$H9tHLHH)H){HtH9LEHHHHHH vRH5L}H)fInHzflHTH1H@H)HH9wHHM4H9IFM>H9IFM~H9IFM~H9oIF M~H9Y@H)HsLHHHNM}MMILHfInH)1flHHf.H)HH9rHHHI4H)H9t+L>Ht"L~HtL~HtL~HtL~ I|I|$I9tLHL$I|$L$LI|$I9lH}LHH)HHʃHH vRH}L}H)fInHrflHTH1H@H)HH9rHHL4H9IFM>I9IFM~I9IFM~I9IF M~I9M~ H[]A\A]A^A_fDHL7HM)IL)H9L9LIHCIM)HkI9bMILHL$L$M4$IM|$IIL$HL$M)K4H9HKHHH_HH>HIfHnI)flISIHE1HLI)HL9wHHH)HI9t+H>Ht"H~HtH~HtH~HtH~ L9tLLLL $L $II LLH)L9tHHHL$L$HHMtLL$ L$M$I\$Ml$H[]A\A]A^A_@I@HMHDHILHLHDME1E1TH=.ffDAWAVIAUATIUHSHHOHHH)I)HH4IH9LH$H]MHMIIH$I)MtHII9t LHLHL$L$ HL$L$ODIM)L9tLLLIMHtHLmLuL}H[]A\A]A^A_L<KfDHH92HuME1E1Cf.AVAUIATIUID$SHVLrI9sRIH@HHH H9tHCHuH H9uID$IL9wIUI]H9tmImH9t'@HCHHHH H9uI,$I\$H9t&HCHt_HHH H9u[]A\A]A^I,$H9tHCHtHHH H9tHCHuH H9u@H H9uH H9Hff.ATUHSHPo_0oW@Ht$ HdH%(HD$H1oO)$oG )T$)L$ )D$0H}Ht2HEHH](L`I9vH;HTI9wH}FHD$HdH3%(u HP[]A\HHbasic_string::_M_construct null not valid---------------------------------------------------------------------------------------------- _ | | __ _| | ___ __ _ _ __ _ __ \ \/ / | / _ \/ _` | '__| '_ \ > <| |___| __/ (_| | | | | | | /_/\_\_____/\___|\__,_|_| |_| |_| xLearn -- 0.43 Version -- ---------------------------------------------------------------------------------------------- -/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/c_api/c_api.ccInput for validation type Must equal to train's!/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/data/data_structure.hHECK failed == NULL +/home/runner/work/ml-builds/ml-builds/xlearn/src/c_api/c_api.ccInput for validation type Must equal to train's!/home/runner/work/ml-builds/ml-builds/xlearn/src/data/data_structure.hHECK failed == NULL Info: Model: %s Loss: %s -Total time cost: %.2f (sec)[------------] Train set must have label!testvalidatetaskbinaryregmetricloglossoptepochfoldblock_sizestop_windowlrlambdainiton_disklock_freeearly_stopbin_outfrom_fileCHECK_GT failed = row_idXlearnDataFreeAddNode?Cannot create file: . create a new directory. -Cannot create file: () Please check that wether you need to basic_string::append/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/base/split_string.cc%s: __pos (which is %zu) > this->size() (which is %zu)delim != NULLresult != NULLbasic_string::substrSplitStringToSetUsingSplitStringUsingvector::_M_default_append/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/base/levenshtein_distance.cc!source.empty()!target.empty()!str.empty()!list.empty()ldistanceFindSimilarFind - zD/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/base/file_util.hbuflenError: invoke fwrite().Error: invoke fread().CHECK_EQ failed ret!score_func.empty()!loss_func.empty()num_featurescalelinearUnknow score function: CHECK_NE failed truebias: i_v_filenameCannot open file: with mode: file_ptrError: invoke fclose().[ ERROR ] /home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/data/model_parameters.ccCannot allocate enough memory for current model parameters. Parameter size: Cannot Load model from the file: %sSetBestModelReadDataFromDiskReadStringFromFileDeserializeSerializeToTXTWriteDataToDiskWriteStringToFileOpenFileOrDieSerializeModelinitialInitialize????????????????/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/base/ReadDataFromDiskxlearn/src/data/model_parameters>0?std::future_error: /home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/loss/loss.ccCHECK_GE failed end_idxstart_idxpred.empty()pred.size()matrix->row_lengthsquaredcross-entropyvector::_M_fill_insertenqueue on stopped ThreadPoolvector::reservePredictpred_threadSt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPSt6vectorIfSaIfEEPNS9_5ScoreEbmmESC_SE_SI_SK_bmmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPSt6vectorIfSaIfEEPNS9_5ScoreEbmmESC_SE_SI_SK_bmmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEESt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EENSt13__future_base13_State_baseV2ENSt13__future_base7_ResultIvEEN6xLearn4LossENSt13__future_base16_Task_state_baseIFvvEEESt19_Sp_make_shared_tagSt23_Sp_counted_ptr_inplaceISt13packaged_taskIFvvEESaIS2_ELN9__gnu_cxx12_Lock_policyE2EEZN10ThreadPool7enqueueISt5_BindIFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPSt6vectorIfSaIfEEPNS2_5ScoreEbmmES5_S7_SB_SD_bmmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSK_DpOSL_EUlvE_NSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPSt6vectorIfSaIfEEPNS2_5ScoreEbmmES5_S7_SB_SD_bmmEEvEESaIiEFvvEEESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKN6xLearn7DMatrixEPNS3_5ModelEPSt6vectorIfSaIfEEPNS3_5ScoreEbmmES6_S8_SC_SE_bmmEEvEESaIiEFvvEEESL_LN9__gnu_cxx12_Lock_policyE2EE_/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/loss/squared_loss.ccstartlabel.empty()CalcGradsq_gradient_threadsq_evalute_threadEvaluteNSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPNS9_5ScoreEbPfjjESC_SE_SG_bSH_mmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPNS9_5ScoreEbPfjjESC_SE_SG_bSH_mmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PfmmESD_SD_SE_mmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PfmmESD_SD_SE_mmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEEN6xLearn11SquaredLossEZN10ThreadPool7enqueueISt5_BindIFPFvPKSt6vectorIfSaIfEES6_PfmmES6_S6_S7_mmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSE_DpOSF_EUlvE_ZN10ThreadPool7enqueueISt5_BindIFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPNS2_5ScoreEbPfjjES5_S7_S9_bSA_mmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSH_DpOSI_EUlvE_NSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKSt6vectorIfSaIfEES6_PfmmES6_S6_S7_mmEEvEESaIiEFvvEEENSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPNS2_5ScoreEbPfjjES5_S7_S9_bSA_mmEEvEESaIiEFvvEEESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKSt6vectorIfSaIfEES7_PfmmES7_S7_S8_mmEEvEESaIiEFvvEEESF_LN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKN6xLearn7DMatrixEPNS3_5ModelEPNS3_5ScoreEbPfjjES6_S8_SA_bSB_mmEEvEESaIiEFvvEEESI_LN9__gnu_cxx12_Lock_policyE2EE?/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/loss/cross_entropy_loss.ccce_gradient_threadCalcGradce_evalute_threadEvaluteNSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPNS9_5ScoreEbPfmmESC_SE_SG_bSH_jjEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPNS9_5ScoreEbPfmmESC_SE_SG_bSH_jjEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEEN6xLearn16CrossEntropyLossEZN10ThreadPool7enqueueISt5_BindIFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPNS2_5ScoreEbPfmmES5_S7_S9_bSA_jjEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSH_DpOSI_EUlvE_NSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPNS2_5ScoreEbPfmmES5_S7_S9_bSA_jjEEvEESaIiEFvvEEESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKN6xLearn7DMatrixEPNS3_5ModelEPNS3_5ScoreEbPfmmES6_S8_SA_bSB_jjEEvEESaIiEFvvEEESI_LN9__gnu_cxx12_Lock_policyE2EE/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/loss/metric.hpositive_vec.size()negative_vec.size()Y.size()accprecrecallf1maemapermsdaucauc_accum_threadAccumulateCalcAUCrmsd_accum_threadAccumulatemae_accum_threadAccumulatemae_accum_threadAccumulatef1_accum_threadAccumulaterecall_accum_threadAccumulateprec_accum_threadAccumulateacc_accum_threadAccumulate -  -  - NSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PN6xLearn9AUCMetric4InfoEmmESD_SD_SH_mmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PN6xLearn9AUCMetric4InfoEmmESD_SD_SH_mmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PjSE_mmESD_SD_SE_SE_mmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PjSE_mmESD_SD_SE_SE_mmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PjmmESD_SD_SE_mmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PjmmESD_SD_SE_mmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEEN6xLearn6MetricEN6xLearn9AccMetricEN6xLearn10PrecMetricEN6xLearn12RecallMetricEN6xLearn8F1MetricEN6xLearn9AUCMetricEN6xLearn9MAEMetricEN6xLearn10MAPEMetricEN6xLearn10RMSDMetricEZN10ThreadPool7enqueueISt5_BindIFPFvPKSt6vectorIfSaIfEES6_PjmmES6_S6_S7_mmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSE_DpOSF_EUlvE_ZN10ThreadPool7enqueueISt5_BindIFPFvPKSt6vectorIfSaIfEES6_PjS7_mmES6_S6_S7_S7_mmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSE_DpOSF_EUlvE_ZN10ThreadPool7enqueueISt5_BindIFPFvPKSt6vectorIfSaIfEES6_PN6xLearn9AUCMetric4InfoEmmES6_S6_SA_mmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSH_DpOSI_EUlvE_NSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKSt6vectorIfSaIfEES6_PjmmES6_S6_S7_mmEEvEESaIiEFvvEEENSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKSt6vectorIfSaIfEES6_PjS7_mmES6_S6_S7_S7_mmEEvEESaIiEFvvEEENSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKSt6vectorIfSaIfEES6_PN6xLearn9AUCMetric4InfoEmmES6_S6_SA_mmEEvEESaIiEFvvEEESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKSt6vectorIfSaIfEES7_PjmmES7_S7_S8_mmEEvEESaIiEFvvEEESF_LN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKSt6vectorIfSaIfEES7_PjS8_mmES7_S7_S8_S8_mmEEvEESaIiEFvvEEESF_LN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKSt6vectorIfSaIfEES7_PN6xLearn9AUCMetric4InfoEmmES7_S7_SB_mmEEvEESaIiEFvvEEESI_LN9__gnu_cxx12_Lock_policyE2EE?;?@AQB?K$tIEncountered a too-long line. Please check the data./home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/reader/parser.cclibsvmlibffmcsvParseParseAddNodeParseN6xLearn6ParserEN6xLearn12LibsvmParserEN6xLearn9FFMParserEN6xLearn9CSVParserEget_line_from_buxlearn/src/reade/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/reader/file_splitor.ccnum_blocksError: invoke fseek().Error: invoke ftell().%s_%dw+map_ptr_readMAP_FAILEDmap_ptr_writeOpenFileOrDieGetFileSizesplitr/file_splitor.cFail to return to the head of file.fgets(line.get(), kMaxLineSize, file)/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/base/scoped_ptr.hEncountered a too-long line: Cannot find the '\n' char. Please check the data./home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/reader/reader.ccBinary file (%s.bin) found. Skip converting text to binary.Binary file (%s.bin) NOT found. Convert text file to binary file.Cannot set shuffle for OndiskReader.modestatic_cast<int>(f.tellg())i >= 0 ,File format error!.binFile: doesn't exists.!filename.empty()memorydmatrix!vec.empty()row.size()norm.size()InitializeWriteDataToDiskWriteVectorToFileWriteVectorToFileSerializeReadVectorFromFileReadVectorFromFileDeserializeHashFileReadDataFromDiskInitializeCloseC& scoped_array<C>::operator[](std::ptrdiff_t) const [with C = char; std::ptrdiff_t = long int]GetLineOpenFileOrDie ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -  -  - :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: - N6xLearn6ReaderEN6xLearn11InmemReaderEN6xLearn12OndiskReaderEN6xLearn12FromDMReaderEcheck_file_formaUnknow file formFirst check if the text file has been already converted to binarsgdadagradftrlUnknow optimization method: N6xLearn5ScoreEN6xLearn11LinearScoreE?xlearn/src/score/linear_score.ccN6xLearn7FMScoreEN6xLearn8FFMScoreE@ +Total time cost: %.2f (sec)[------------] Train set must have label!testvalidatetaskbinaryregmetricloglossoptepochfoldblock_sizestop_windowlrlambdainiton_disklock_freeearly_stopbin_outfrom_fileCHECK_GT failed = row_idXlearnDataFreeAddNode?Cannot create file: . create a new directory. +Cannot create file: () Please check that wether you need to basic_string::append/home/runner/work/ml-builds/ml-builds/xlearn/src/base/split_string.cc%s: __pos (which is %zu) > this->size() (which is %zu)delim != NULLresult != NULLbasic_string::substrSplitStringToSetUsingSplitStringUsingvector::_M_default_append/home/runner/work/ml-builds/ml-builds/xlearn/src/base/levenshtein_distance.cc!source.empty()!target.empty()!str.empty()!list.empty()ldistanceFindSimilarFindzD/home/runner/work/ml-builds/ml-builds/xlearn/src/base/file_util.hbuflenError: invoke fwrite().Error: invoke fread().CHECK_EQ failed ret!score_func.empty()!loss_func.empty()num_featurescalelinearUnknow score function: CHECK_NE failed truebias: i_v_filenameCannot open file: with mode: file_ptrError: invoke fclose().[ ERROR ] /home/runner/work/ml-builds/ml-builds/xlearn/src/data/model_parameters.ccCannot allocate enough memory for current model parameters. Parameter size: Cannot Load model from the file: %sSetBestModelReadDataFromDiskReadStringFromFileDeserializeSerializeToTXTWriteDataToDiskWriteStringToFileOpenFileOrDieSerializeModelinitialInitialize/home/runner/work/ml-builds/ml-builds/xlearn/src/base/file_util.ReadDataFromDisk????/data/model_para>0?std::future_error: /home/runner/work/ml-builds/ml-builds/xlearn/src/loss/loss.ccCHECK_GE failed end_idxstart_idxpred.empty()pred.size()matrix->row_lengthsquaredcross-entropyvector::_M_fill_insertenqueue on stopped ThreadPoolvector::reservePredictpred_threadSt11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPSt6vectorIfSaIfEEPNS9_5ScoreEbmmESC_SE_SI_SK_bmmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPSt6vectorIfSaIfEEPNS9_5ScoreEbmmESC_SE_SI_SK_bmmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEESt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EENSt13__future_base13_State_baseV2ENSt13__future_base7_ResultIvEEN6xLearn4LossENSt13__future_base16_Task_state_baseIFvvEEESt19_Sp_make_shared_tagSt23_Sp_counted_ptr_inplaceISt13packaged_taskIFvvEESaIS2_ELN9__gnu_cxx12_Lock_policyE2EEZN10ThreadPool7enqueueISt5_BindIFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPSt6vectorIfSaIfEEPNS2_5ScoreEbmmES5_S7_SB_SD_bmmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSK_DpOSL_EUlvE_NSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPSt6vectorIfSaIfEEPNS2_5ScoreEbmmES5_S7_SB_SD_bmmEEvEESaIiEFvvEEESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKN6xLearn7DMatrixEPNS3_5ModelEPSt6vectorIfSaIfEEPNS3_5ScoreEbmmES6_S8_SC_SE_bmmEEvEESaIiEFvvEEESL_LN9__gnu_cxx12_Lock_policyE2EE_/home/runner/work/ml-builds/ml-builds/xlearn/src/loss/squared_loss.ccstartlabel.empty()CalcGradsq_gradient_threadsq_evalute_threadEvaluteNSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPNS9_5ScoreEbPfjjESC_SE_SG_bSH_mmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPNS9_5ScoreEbPfjjESC_SE_SG_bSH_mmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PfmmESD_SD_SE_mmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PfmmESD_SD_SE_mmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEEN6xLearn11SquaredLossEZN10ThreadPool7enqueueISt5_BindIFPFvPKSt6vectorIfSaIfEES6_PfmmES6_S6_S7_mmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSE_DpOSF_EUlvE_ZN10ThreadPool7enqueueISt5_BindIFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPNS2_5ScoreEbPfjjES5_S7_S9_bSA_mmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSH_DpOSI_EUlvE_NSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKSt6vectorIfSaIfEES6_PfmmES6_S6_S7_mmEEvEESaIiEFvvEEENSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPNS2_5ScoreEbPfjjES5_S7_S9_bSA_mmEEvEESaIiEFvvEEESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKSt6vectorIfSaIfEES7_PfmmES7_S7_S8_mmEEvEESaIiEFvvEEESF_LN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKN6xLearn7DMatrixEPNS3_5ModelEPNS3_5ScoreEbPfjjES6_S8_SA_bSB_mmEEvEESaIiEFvvEEESI_LN9__gnu_cxx12_Lock_policyE2EE?/home/runner/work/ml-builds/ml-builds/xlearn/src/loss/cross_entropy_loss.ccce_gradient_threadCalcGradce_evalute_threadEvaluteNSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPNS9_5ScoreEbPfmmESC_SE_SG_bSH_jjEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKN6xLearn7DMatrixEPNS9_5ModelEPNS9_5ScoreEbPfmmESC_SE_SG_bSH_jjEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEEN6xLearn16CrossEntropyLossEZN10ThreadPool7enqueueISt5_BindIFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPNS2_5ScoreEbPfmmES5_S7_S9_bSA_jjEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSH_DpOSI_EUlvE_NSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKN6xLearn7DMatrixEPNS2_5ModelEPNS2_5ScoreEbPfmmES5_S7_S9_bSA_jjEEvEESaIiEFvvEEESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKN6xLearn7DMatrixEPNS3_5ModelEPNS3_5ScoreEbPfmmES6_S8_SA_bSB_jjEEvEESaIiEFvvEEESI_LN9__gnu_cxx12_Lock_policyE2EE/home/runner/work/ml-builds/ml-builds/xlearn/src/loss/metric.hpositive_vec.size()negative_vec.size()Y.size()accprecrecallf1maemapermsdaucauc_accum_threadAccumulateCalcAUCrmsd_accum_threadAccumulatemae_accum_threadAccumulatemae_accum_threadAccumulatef1_accum_threadAccumulaterecall_accum_threadAccumulateprec_accum_threadAccumulateacc_accum_threadAccumulateNSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PN6xLearn9AUCMetric4InfoEmmESD_SD_SH_mmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PN6xLearn9AUCMetric4InfoEmmESD_SD_SH_mmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PjSE_mmESD_SD_SE_SE_mmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PjSE_mmESD_SD_SE_SE_mmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PjmmESD_SD_SE_mmEEvEESaIiEFvvEE6_M_runEvEUlvE_vEENSt13__future_base12_Task_setterISt10unique_ptrINS_7_ResultIvEENS_12_Result_base8_DeleterEEZNS_11_Task_stateISt5_BindIFS8_IFPFvPKSt6vectorIfSaIfEESD_PjmmESD_SD_SE_mmEEvEESaIiEFvvEE14_M_run_delayedESt8weak_ptrINS_13_State_baseV2EEEUlvE_vEEN6xLearn6MetricEN6xLearn9AccMetricEN6xLearn10PrecMetricEN6xLearn12RecallMetricEN6xLearn8F1MetricEN6xLearn9AUCMetricEN6xLearn9MAEMetricEN6xLearn10MAPEMetricEN6xLearn10RMSDMetricEZN10ThreadPool7enqueueISt5_BindIFPFvPKSt6vectorIfSaIfEES6_PjmmES6_S6_S7_mmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSE_DpOSF_EUlvE_ZN10ThreadPool7enqueueISt5_BindIFPFvPKSt6vectorIfSaIfEES6_PjS7_mmES6_S6_S7_S7_mmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSE_DpOSF_EUlvE_ZN10ThreadPool7enqueueISt5_BindIFPFvPKSt6vectorIfSaIfEES6_PN6xLearn9AUCMetric4InfoEmmES6_S6_SA_mmEEJEEESt6futureINSt9result_ofIFT_DpT0_EE4typeEEOSH_DpOSI_EUlvE_NSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKSt6vectorIfSaIfEES6_PjmmES6_S6_S7_mmEEvEESaIiEFvvEEENSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKSt6vectorIfSaIfEES6_PjS7_mmES6_S6_S7_S7_mmEEvEESaIiEFvvEEENSt13__future_base11_Task_stateISt5_BindIFS1_IFPFvPKSt6vectorIfSaIfEES6_PN6xLearn9AUCMetric4InfoEmmES6_S6_SA_mmEEvEESaIiEFvvEEESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKSt6vectorIfSaIfEES7_PjmmES7_S7_S8_mmEEvEESaIiEFvvEEESF_LN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKSt6vectorIfSaIfEES7_PjS8_mmES7_S7_S8_S8_mmEEvEESaIiEFvvEEESF_LN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceINSt13__future_base11_Task_stateISt5_BindIFS2_IFPFvPKSt6vectorIfSaIfEES7_PN6xLearn9AUCMetric4InfoEmmES7_S7_SB_mmEEvEESaIiEFvvEEESI_LN9__gnu_cxx12_Lock_policyE2EE?;?@AQB?K$tIEncountered a too-long line. Please check the data./home/runner/work/ml-builds/ml-builds/xlearn/src/reader/parser.cclibsvmlibffmcsvParseParseAddNodeParseN6xLearn6ParserEN6xLearn12LibsvmParserEN6xLearn9FFMParserEN6xLearn9CSVParserEget_line_from_bu/reader/parser.c/home/runner/work/ml-builds/ml-builds/xlearn/src/reader/file_splitor.ccnum_blocksError: invoke fseek().Error: invoke ftell().%s_%dw+map_ptr_readMAP_FAILEDmap_ptr_writeOpenFileOrDieGetFileSizesplit/reader/file_splFail to return to the head of file.fgets(line.get(), kMaxLineSize, file)/home/runner/work/ml-builds/ml-builds/xlearn/src/base/scoped_ptr.hEncountered a too-long line: Cannot find the '\n' char. Please check the data./home/runner/work/ml-builds/ml-builds/xlearn/src/reader/reader.ccBinary file (%s.bin) found. Skip converting text to binary.Binary file (%s.bin) NOT found. Convert text file to binary file.Cannot set shuffle for OndiskReader.modestatic_cast<int>(f.tellg())i >= 0 ,File format error!.binFile: doesn't exists.!filename.empty()memorydmatrix!vec.empty()row.size()norm.size()InitializeWriteDataToDiskWriteVectorToFileWriteVectorToFileSerializeReadVectorFromFileReadVectorFromFileDeserializeHashFileReadDataFromDiskInitializeCloseC& scoped_array<C>::operator[](std::ptrdiff_t) const [with C = char; std::ptrdiff_t = long int]GetLineOpenFileOrDieN6xLearn6ReaderEN6xLearn11InmemReaderEN6xLearn12OndiskReaderEN6xLearn12FromDMReaderE/reader/reader.h/reader/reader.c ,,,,,,,,,,,,,,,,::::::::::::::::check_file_formaUnknow file formFirst check if the text file has been already converted to binarsgdadagradftrlUnknow optimization method: N6xLearn5ScoreEN6xLearn11LinearScoreE?/score/linear_scN6xLearn7FMScoreE/score/fm_score.N6xLearn8FFMScoreE@/score/ffm_score ---------------------------------------- Training task ------------------------------------- USAGE: xlearn_train <train_file_path> [OPTIONS] e.g., xlearn_train train_data.txt -s 0 -v validate_data.txt -r 0.1 @@ -701,610 +604,527 @@ mape rmsd rmse noneUnknow optimization method: %s -o can only be: adagrad and ftrl. -Validation set file: %s dose not exists.Illegal -k '%i'. -k must be geater than zero.Illegal -r : '%f'. -r must be greater than zero.Illegal -b : '%f' -b must be greater than or equal to zero.Illegal -u : '%f'. -u must be greater than zero.Illegal -e : '%i'. -e must be greater than zero.Illegal -f : '%i'. -f must be greater than zero.Illegal -nthread : '%i'. -nthread must be greater than zero.Illegal -block : '%i'. -block must be greater than zero.Illegal -sw : '%i'. -sw must be greater than or equal to 1.Illegal -seed : '%i'. -seed must be greater than or equal to 1.Illegal -alpha : '%f'. -alpha must be greater than zero.Illegal -beta : '%f'. -beta cannot be less than zero.Illegal -lambda_1 : '%f'. -lambda_1 cannot be less than zero.Illegal -lambda_2 : '%f'. -lambda_2 cannot be less than zero.Unknow argument '%s'. Do you mean '%s' ?[ WARNING ] nonermseunknowUnknow evaluation metric: %s..model.out-s-x-p-v-m-t-l-k-r-b-u-e-f-pre-nthread-block-sw-seed--disk--cv--dis-lock-free--dis-es--no-norm--no-bin--quiet-alpha-beta-lambda_1-lambda_2-o--sign--sigmoiddccxc0c(dTransform DMatrix not from file doesn't support cross-validation. xLearn has already disable theOn-disk training doesn't support cross-validation. xLearn has already disable thCross-validation early-stopping. xLearn has already close early-The --cv (cross-validation) has been set, and xLearn will ignore the --quiet optearn will not dump model checkpoValidation file(dataset) not found, xLearn has already disable eBoth of --sign and --sigmoid have been set. xLearn has already disable --sign anThe test file and model file musAverage %s: %.6freader.empty()Train Test [------------]%.2f[ % ]reader_list.empty()AccuarcyPrecisionRecallF1AUCMAEMAPERMSD[ ACTION ] Cross-validation: %d/%lu:/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/solver/trainer.ccEarly-stopping at epoch %d, best %s: %f/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/base/format_print.hcolumn.size()width.size()calc_metriccalc_gradientprint_rowY@/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/solver/inference.ccin.size()out.size()vector::_M_range_insertThe test loss is: %.6fsignsigmoid????????????????/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/base/system.hlocaltime_r(&current_time, &broken_down_time) == &broken_down_timeTime cost for saving model: %.2f (sec)Time cost for saving txt model: %.2f (sec)/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/solver/inference.hClear the xLearn environment ...xLearn uses %i threads for training task./home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/solver/solver.cchyper_param_.train_set_file.empty()Cannot open initialze dataset %dFeature index is too large (overflow).Time cost for reading problem: %.2f (sec)Time cost for model initial: %.2f (sec)/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/loss/loss.hxLearn uses %i threads for prediction task.hyper_param_.model_file.empty()Time cost for loading model: %.2f (sec)hyper_param_.test_set_file.empty()USERUSERNAME%04d%02d%02d-%02d%02d%02d!file_base.empty()%s.%s.%s.%s.%uCannot create reader: Cannot create score: Cannot create loss: _train%s.ERROR_predict%s.WARN%s.INFOfilename.compare("none")TXT Model file: %sreaderout.empty()Start training work.Start inference work.Start to init Readerhyper_param_.num_foldsSplit file into parts.Number of Reader: Cannot open the file %sInit Reader: hyper_param_.train_datasetNumber of feature: Number of Feature: %dNumber of field: Number of Field: %dNumber parameters: %.2f GB%.2f MB%.2f KBModel size: %sInitialize score function.scorepoolInitialize loss function.Initialize evaluation metric.Load model from %sLoss function: %sScore function: %sNumber of K: %dNumber of field: %dInitialize model.hyper_param_.test_datasetInitialize Reader: /home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/reader/reader.h/home/runner/work/ml-test-builds/ml-test-builds/xlearn/src/solver/trainer.hInitializeSaveTxtModelSaveModelInitializeinit_predictInitializeInitializeSetBlockSizeinit_trainget_log_fileprint_current_timeNSt6thread11_State_implINS_8_InvokerISt5tupleIJZN10ThreadPoolC4EmEUlvE_EEEEEExlearn/src/solveStart to train .Finish Cross-ValStart to save moStart to save txStart to predictClear the xLearn environment ...Read Problem ...Feature index is too large (overInitialize model>>P?; 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Do you mean '%s' ?[ WARNING ] nonermseunknowUnknow evaluation metric: %s..model.out-s-x-p-v-m-t-l-k-r-b-u-e-f-pre-nthread-block-sw-seed--disk--cv--dis-lock-free--dis-es--no-norm--no-bin--quiet-alpha-beta-lambda_1-lambda_2-o--sign--sigmoidvvHvvuvTransform DMatrix not from file doesn't support cross-validation. xLearn has already disable theOn-disk training doesn't support cross-validation. xLearn has already disable thCross-validation early-stopping. xLearn has already close early-The --cv (cross-validation) has been set, and xLearn will ignore the --quiet optearn will not dump model checkpoValidation file(dataset) not found, xLearn has already disable eBoth of --sign and --sigmoid have been set. xLearn has already disable --sign anThe test file and model file musAverage %s: %.6freader.empty()Train Test [------------]%.2f[ % ]reader_list.empty()AccuarcyPrecisionRecallF1AUCMAEMAPERMSD[ ACTION ] Cross-validation: %d/%lu:/home/runner/work/ml-builds/ml-builds/xlearn/src/solver/trainer.ccEarly-stopping at epoch %d, best %s: %f/home/runner/work/ml-builds/ml-builds/xlearn/src/base/format_print.hcolumn.size()width.size()calc_metriccalc_gradientprint_rowY@/home/runner/work/ml-builds/ml-builds/xlearn/src/solver/inference.ccin.size()out.size()vector::_M_range_insertThe test loss is: %.6fsignsigmoid/home/runner/work/ml-builds/ml-builds/xlearn/src/base/system.hlocaltime_r(&current_time, &broken_down_time) == &broken_down_timeTime cost for saving model: %.2f (sec)Time cost for saving txt model: %.2f (sec)/home/runner/work/ml-builds/ml-builds/xlearn/src/solver/inference.hClear the xLearn environment ...xLearn uses %i threads for training task./home/runner/work/ml-builds/ml-builds/xlearn/src/solver/solver.cchyper_param_.train_set_file.empty()Cannot open initialze dataset %dFeature index is too large (overflow).Time cost for reading problem: %.2f (sec)Time cost for model initial: %.2f (sec)/home/runner/work/ml-builds/ml-builds/xlearn/src/loss/loss.hxLearn uses %i threads for prediction task.hyper_param_.model_file.empty()Time cost for loading model: %.2f (sec)hyper_param_.test_set_file.empty()USERUSERNAME%04d%02d%02d-%02d%02d%02d!file_base.empty()%s.%s.%s.%s.%uCannot create reader: Cannot create score: Cannot create loss: _train%s.ERROR_predict%s.WARN%s.INFOfilename.compare("none")TXT Model file: %sreaderout.empty()Start training work.Start inference work.Start to init Readerhyper_param_.num_foldsSplit file into parts.Number of Reader: Cannot open the file %sInit Reader: hyper_param_.train_datasetNumber of feature: Number of Feature: %dNumber of field: Number of Field: %dNumber parameters: %.2f GB%.2f MB%.2f KBModel size: %sInitialize score function.scorepoolInitialize loss function.Initialize evaluation metric.Load model from %sLoss function: %sScore function: %sNumber of K: %dNumber of field: %dInitialize model.hyper_param_.test_datasetInitialize Reader: 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