vendor/libxlearn_api.dylib in xlearn-0.1.2 vs vendor/libxlearn_api.dylib in xlearn-0.1.3
- old
+ new
@@ -1,613 +1,575 @@
- x __TEXT p p __text __TEXT @ ! @ __stubs __TEXT b < b __stub_helper __TEXT L __gcc_except_tab__TEXT 4+ __const __TEXT __cstring __TEXT 5M __unwind_info __TEXT <b
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C HD] D UHH ] UHAWAVAUATSH HFHPH+H2HXHRHH)H9N ILW)EHE M HHH@LH> MN, L HHEHEJHEHL MgLH 1 HHH9uLH)Ir H HuH]W)EHE L HHEHEJHEHL LHH 1Mf. HHH9uLH)Ir H HuH]M HEH8E1E1LXH@HHI $ID$IH)H1ILHIIIIHL9HEIpHELH8J 1H H`HPHhLpHxHMH}HUL0LH`LdL L{M9IL)EHE E1MMhI H`ƅht A, D9t%I L`HL+ A, D9u1A, h t H`+ H}HMH)LtHC1fCHH9rHMHEHH)t#HC 1f C HH9rHHtHEHN H}Ht H}< HĨ [A\A]A^A_]LImrLMIE W)`HDžp P Hp(Y )`o @?~o @0co @ Ho @-o @O W)EHE EHAccumulaHEfEteE H`HM 9 H5}j HuH5n O HaH5:e HMHǾ9
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+H H}} H UHHWG fGllGRecaG ]f. fUHAVSH@MLM9rl L9sRHH7WLW f . v.Hw1.@A.v
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+ f D UHAWAVAUATSH HFHPH+HH2HXHRHH)HH9V IGLW)EHE M HHH@LH> MN, LE HHEHEJHEHL3 MgLH 1 HHH9uLH)Ir H HuH]W)EHE L HHEHEJHEHL LHH 1Mf. HHH9uLH)Ir H HuH]M HEH8E1E1LXH@HHI $ID$IH)H1ILHIIIIHL9HEIpHELH8J 1H D H`HPHhLpHxHMH}HUL0LH`LL L{M9IL)EHE E1MMhI H`ƅh A, D9t%I L`HL[ A, D9u1A, h t H`[ H}HMH)LtHC 1fC HH9rHMHEHH)t#HC 1f C HH9rHHtHEH~ H}Ht H}l HĨ [A\A]A^A_]LImrLMIE W)`HDžp P Hp(P )`f @?f @0f @ xf @]f @O W)EHE EHAccumulaHEfEteE H`HM IH5a HH5e O HH5j\ H}HǾ : H5K\ H\H5f HHH5^ H4HPHqH+1HH H5[ HH5c HH5@^ HHXHqH+1HH H5[ HH} H` H}' H} H'HEt H}0 `t Hp H}H< HH}Ht<DHH}Ht.6HH}HuHH}Ht H} H}Hu
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+ A, D9u1A, } t H}
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+ HE(RH )E^^ @?D^ @0)^ @ ^ @] @O W)EHE EHAccumulaHEfEteE HuHM u H5FY H>H5] O H*H5T HHǾu H5S HH5] HH5/V HHhHqH+1HH H5S H蟹H5[ H苹H5U HwHpHqH+1HH3 H58S H螓H} H} H}B H}) H!HEt H} Et H} H}H HH}Hu #HH}HuHH}Ht H}y H f. D UHGG H*^]f UHHWHG GMAE ]f. D UH.] @ UHAVSH@MHI9 HHD)HHW@t3 \ (E WWWTUVXHLte(
QE \(WWTUVX"T\T(WWTUVXHI9uH@[A^]E W)EHE P HE(D )EZ @?Z @0Z @ kZ @PZ @O W)EHE E Z EE HuHMп k HH5\X H褶H5Y O H萶H5iP H|HǾk 9 H5JP H[H5X HGH5R H3HL H5P HH5W H H5NR HHH H5O H"H}9 H}0 H}G H!HEt H}[ Et H}L H}Hm f UHAWAVAUATSH HFHhH+HH2HpHRHH)HH9l IG LW)EHE E1Me HxH`LH> MJ< I HHEHEJHEHL IGLH 1MHxf. HHH9uLH)Hr H HuH]M 1E1LpH` @ IE IuLHH)HH1ILHIIIIHL9HEIpHEIHH
ߥ HMHhHMLmHEH}HULXLHUL*L L{M9IbEMMxI H}E A, D9t/I Luf. HL[ A, D9u1A, } t H}a HEH}HH)t(HAD$1 @ XAD$HH9rHHt H} HĈ [A\A]A^A_]LMHxHRWE W)EHE P i HE(@ )E V @?V @0U @ U @U @O W)EHE EHAccumulaHEfEteE HuHM 袺H5Q HH5OU O HH5K HֱHǾ H5K H赱H5aU H衱H5M H荱HhHqH+1HHI H5NK H_H5BS HKH5M H7HpHqH+1HH H5J H^H}u H}l H}能 H} H!HEt H} Et H}} H}DH HH}Hu #HH}HuHH}Ht H}9 Hc f. D UHHWHG GMAPEG ]f. UHAVSH@MHI9 HHD)HHW@t: (\( l= WWWTUV^XHLt|(
:= f. (\ (WWTUV^X*T(\\(WWTUV^XHI9uH@[A^]E W)EHE P HE(< )ER @?sR @0XR @ =R @"R @O W)EHE E R EE HuHMп H5.P HvH5Q O HbH5;H HNHǾ H5 H H-H5O HH5gJ HHL H5G HH5O HҭH5 J H辭HH H5G HH} H} H} H!HEt H}- Et H} H}H? f. UHAWAVAUATSH HFHhH+HH2HpHRHH)HH9l IG LW)EHE E1Me HxH`LH> MJ< Ir HHEHEJHEHL` IGLH 1MHxf. HHH9uLH)Hr H HuH]M 1E1LpH` @ IE IuLHH)HH1ILHIIIIHL9HEIpHEIHH
HMHhHMLmHEH}HULXLHULL L{M9IbEMMxI H}E~ A, D9t/I Luf. HL+ A, D9u1A, } t H}1 HEH}HH)t(HAD$1 @ XAD$HH9rHHt H}{ HĈ [A\A]A^A_]LMHxHRWE W)EHE P 9 HE(7 )EM @?M @0M @ M @M @O W)EHE EHAccumulaHEfEteE HuHM rH5H HΩH5 M O H躩H5C H覩HǾ c H5tC H腩H51M HqH5E H]HhHqH+1HH H5 C H/H5K HH5iE HHpHqH+1HH H5B H.H}E H}< H}S H} H!HEt H}\ Et H}M H}Hn HH}Hu #HH}HuHH}Ht H} H3 f. D UHG H*O^WQ]fUHHWHG GRMSDG ]f. UHAVSH@MHI9 vuHHD)HHW@t \ YWXHLt: \ YX
+D\DYXHI9uH@[A^]E W)EHE P HE(4 )EJ @?J @0lJ @ QJ @6J @O W)EHE E"J EfEd HuHMп
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+ E HC0HK8H)HHH?B w@B H)HUL
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-eL9AH9AH9AH0H9AL9AH9AEuE uzE uuE up f. oDo D D oDo D D HHDB uHf. D f. tttt4444HHAB uE[L9]L}MtRH8L9t: @ H{Ht H{N LsH{Ht H{8 LM9uH}LL} HXHt H` H@Ht HH Hĸ [A\A]A^A_]E W)@HDžP ` HP(F )@W] @:] ^] @0A] @ H/metric.HHPHsrc/lossHHHH/xlearn/HH@@Xh@Y W)pHE ƅpHAccumulaHqfDžyteƅ{ H@Hp oH5X H軏H5v\ Y H觏H5R H蓏HǾ H5{R HrH5\ H^H5T HJHMHqH+1HHY H5(R H H5XZ H H5}T HHMHqH+1HH H5Q HhHp H@y H}P I*Ipt H} @t HP H}L IL}Mu hIHXHteyIL}MtKH]L9 H{Ht H{. LcH{Ht H{ LM9uH}L} HXHuH@Hu"L H` H@HtHH L Lf. @ UHAVSHHHHCHK0HC HK8E A@B HU@B C E HC0HK8H)HHH?B wH0I)HUHL H = t
-H = HC8H[A^]f. UHAWAVAUATSHHIW)EHE LH_ L)tOIIH?I9 H IHEHEJHEH~LLH ILeW)EHE M~0I^8L)tOIIH?I9 HK IHEHEJHEH~LLH ILeHuHULb EH}Ht H} H}Ht H} EHH[A\A]A^A_]H} H} HH}Hu #HH}Ht (HH}Ht H}~ H}Hu
-H H}b H UHHWHG GAUC ]f. UHAWAVAUATSHHILLgLL)HH9suLM)MIK4*HH> H?M)LHH H9H}Hu II9LBM LUMI9 I rHCL9 KH9 LLLAIIt 1 HHI9uH)I fPPP PPPP H Hu LUMIJ< MLUN4I HKL9vHMH H9 LHM4MI)}JH`1 @ }DD}DD}DD}DH H9uL9tTIILHD Hr= @ A AN AN AN AN AN AN AN I IuJ M~ HLLMIw LMHMHLqHYM LH[A\A]A^A_]w LHILH)}1 }Dx}D0xD }DPxD@}DpxD`H H9uL9HGH[A\A]A^A_]wE11N4I <MIILH1 @ ;A>IHH9uI)H UHAWAVAUATSHHHIJR )M)E)UH}Hu? HuH0L L{HL ( LmLeMt
-ID$ H{ HC(HH)HHHkUHHHDHs@HK8HH9u H{YHs@H{ HC(HK8HH9t)HHHHHkUH)HIHH1H
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: z: z : z%: =: : : źY$TŲ_,Œ*\XZXŢ\Ś^XYXY,nX^Y,z$HiCH2i@B ).HHGH HI9mH@[A^]E W)EHE ` . HE(9 )EP @P P @0P @ H/metric.HHPHsrc/lossHHHH/xlearn/HH@@Xh@Y W)EHE E .Q EE HuHMп H5YN HKH5P Y H7H5*F H#HǾ 0 H5 F HH5
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> HHHKHHHKHHHt HA H[]f. UHH HHHGHFHGHFHt H@ ]f. @ UHHNH1H;
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xLearn -- 0.43 Version --
----------------------------------------------------------------------------------------------
- /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/c_api/c_api.cc XlearnDataFree CHECK failed :
+ /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/c_api/c_api.cc XlearnDataFree CHECK failed :
out == NULL
Info:
Model: %s
Loss: %s
- Input for validation type Must equal to train's! Total time cost: %.2f (sec) train Train set must have label! test validate task binary cross-entropy reg squared unknow metric log loss opt k epoch fold block_size nthread stop_window seed lr lambda init alpha beta lambda_1 lambda_2 on_disk quiet norm lock_free early_stop sign sigmoid bin_out from_file [ m linear adagrad /tmp/xlearn_log allocator<T>::allocate(size_t n) 'n' exceeds maximum supported size /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/data/data_structure.h AddNode CHECK_GT failed row_length = row_id [------------] Cannot create file: . Please check that wether you need to create a new directory.
- Cannot create file: ( ) w /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/base/split_string.cc SplitStringUsing delim != NULL result != NULL SplitStringToSetUsing /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/base/levenshtein_distance.cc !str.empty() !list.empty() FindSimilar ldistance !source.empty() !target.empty() /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/data/model_parameters.cc Initialize !score_func.empty() !loss_func.empty() num_feature 0 scale fm ffm Unknow score function: initial CHECK_EQ failed ret Cannot allocate enough memory for current model parameters. Parameter size: Model CHECK_NE failed filename.empty() true Cannot Load model from the file: %s Serialize SerializeToTXT bias: i_ : v_ _ Deserialize r SetBestModel [ ERROR ] /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/base/file_util.h OpenFileOrDie filename mode Cannot open file: with mode: WriteStringToFile file_ptr WriteDataToDisk file buf len Error: invoke fwrite(). Close Error: invoke fclose(). ReadStringFromFile ReadDataFromDisk Error: invoke fread(). /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/loss/loss.cc pred_thread CHECK_GE failed end_idx start_idx Predict matrix pred.empty() pred.size() matrix->row_length enqueue on stopped ThreadPool /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/loss/squared_loss.cc Evalute label.empty() sq_gradient_thread end start sq_evalute_thread /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/loss/cross_entropy_loss.cc ce_evalute_thread ce_gradient_thread acc recall mae auc /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/loss/metric.h Accumulate Y.size() acc_accum_thread prec_accum_thread Precision recall_accum_thread Recall f1_accum_thread mae_accum_thread MAE rmsd_accum_thread auc_accum_thread CalcAUC positive_vec.size() negative_vec.size() AUC libsvm libffm csv /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/reader/parser.cc get_line_from_buffer Encountered a too-long line. Please check the data. Parse size /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/reader/file_splitor.cc split num_blocks 2 %s_%d w+ map_ptr_read MAP_FAILED map_ptr_write GetFileSize Error: invoke fseek(). Error: invoke ftell(). memory dmatrix , /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/reader/reader.cc check_file_format File format error! Unknow file format First check if the text file has been already converted to binary format. Binary file (%s.bin) found. Skip converting text to binary. .bin Binary file (%s.bin) NOT found. Convert text file to binary file. Reset Fail to return to the head of file. GetLine fgets(line.get(), kMaxLineSize, file) Encountered a too-long line: Cannot find the '\n' char. Please check the data. operator[] /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/base/scoped_ptr.h i >= 0 FileExist File: doesn't exists. static_cast<int>(f.tellg()) rb !filename.empty() ReadVectorFromFile row.size() norm.size() WriteVectorToFile !vec.empty() in-memory on-disk /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/reader/reader.h SetShuffle Cannot set shuffle for OndiskReader. from-dmatrix sgd ftrl /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/score/linear_score.cc Unknow optimization method: /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/score/fm_score.cc /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/score/ffm_score.cc
+ Input for validation type Must equal to train's! Total time cost: %.2f (sec) train Train set must have label! test validate task binary cross-entropy reg squared unknow metric log loss opt k epoch fold block_size nthread stop_window seed lr lambda init alpha beta lambda_1 lambda_2 on_disk quiet norm lock_free early_stop sign sigmoid bin_out from_file [ m linear adagrad /tmp/xlearn_log allocator<T>::allocate(size_t n) 'n' exceeds maximum supported size /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/data/data_structure.h AddNode CHECK_GT failed row_length = row_id [------------] Cannot create file: . Please check that wether you need to create a new directory.
+ Cannot create file: ( ) w /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/base/split_string.cc SplitStringUsing delim != NULL result != NULL SplitStringToSetUsing /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/base/levenshtein_distance.cc !str.empty() !list.empty() FindSimilar ldistance !source.empty() !target.empty() /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/data/model_parameters.cc Initialize !score_func.empty() !loss_func.empty() num_feature 0 scale fm ffm Unknow score function: initial CHECK_EQ failed ret Cannot allocate enough memory for current model parameters. Parameter size: Model CHECK_NE failed filename.empty() true Cannot Load model from the file: %s Serialize SerializeToTXT bias: i_ : v_ _ Deserialize r SetBestModel [ ERROR ] /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/base/file_util.h OpenFileOrDie filename mode Cannot open file: with mode: WriteStringToFile file_ptr WriteDataToDisk file buf len Error: invoke fwrite(). Close Error: invoke fclose(). ReadStringFromFile ReadDataFromDisk Error: invoke fread(). /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/loss/loss.cc pred_thread CHECK_GE failed end_idx start_idx Predict matrix pred.empty() pred.size() matrix->row_length enqueue on stopped ThreadPool /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/loss/squared_loss.cc Evalute label.empty() sq_gradient_thread end start sq_evalute_thread /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/loss/cross_entropy_loss.cc ce_evalute_thread ce_gradient_thread acc recall mae auc /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/loss/metric.h Accumulate Y.size() acc_accum_thread prec_accum_thread Precision recall_accum_thread Recall f1_accum_thread mae_accum_thread MAE rmsd_accum_thread auc_accum_thread CalcAUC positive_vec.size() negative_vec.size() AUC libsvm libffm csv /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/reader/parser.cc get_line_from_buffer Encountered a too-long line. Please check the data. Parse size /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/reader/file_splitor.cc split num_blocks 2 %s_%d w+ map_ptr_read MAP_FAILED map_ptr_write GetFileSize Error: invoke fseek(). Error: invoke ftell(). memory dmatrix , /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/reader/reader.cc check_file_format File format error! Unknow file format First check if the text file has been already converted to binary format. Binary file (%s.bin) found. Skip converting text to binary. .bin Binary file (%s.bin) NOT found. Convert text file to binary file. Reset Fail to return to the head of file. GetLine fgets(line.get(), kMaxLineSize, file) Encountered a too-long line: Cannot find the '\n' char. Please check the data. operator[] /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/base/scoped_ptr.h i >= 0 FileExist File: doesn't exists. static_cast<int>(f.tellg()) rb !filename.empty() ReadVectorFromFile row.size() norm.size() WriteVectorToFile !vec.empty() in-memory on-disk /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/reader/reader.h SetShuffle Cannot set shuffle for OndiskReader. from-dmatrix sgd ftrl /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/score/linear_score.cc Unknow optimization method: /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/score/fm_score.cc /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/score/ffm_score.cc
---------------------------------------- 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
@@ -743,164 +705,154 @@
mape
rmsd
rmse
none Unknow 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. --dis-lock-free 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' ? .model Validation data file: %s does not exist. Training dataset is None, please check! The thread number must be greater than zero: %d. The task can only be 'binary' or 'reg'. Unknow evaluation metric: %s. Unknow optimization method: %s. Invalid size of K: %d. Size of K must be greater than zero. Invalid size of folds: %d. Size of folds must be greater than zero. Invalid number of epoch: %d. Number of epoch must be greater than zero. Transform DMatrix not from file doesn't support cross-validation. xLearn has already disable the -cv option. On-disk training doesn't support cross-validation. xLearn has already disable the -cv option. Cross-validation doesn't support early-stopping. xLearn has already close early-stopping. The --cv (cross-validation) has been set, and xLearn will ignore the validation file: %s The --cv (cross-validation) has been set, and xLearn will ignore the --quiet option. The --cv (cross-validation) has been set, and xLearn will not dump model checkpoint to disk. Validation file(dataset) not found, xLearn has already disable early-stopping. Validation file not found, xLearn has already disable (-x %s) option. The -x: %s metric can only be used in classification tasks. xLearn will ignore this option. The -x: %s metric can only be used in regression tasks. xLearn will ignore this option. The test file and model file must be set. Test set file: %s does not exist. Model file: %s does not exist. .out Test dataset is None, please check! Both of --sign and --sigmoid have been set. xLearn has already disable --sign and --sigmoid. [ WARNING ] Epoch Train Test Time cost (sec) [------------] %d %.6f %.2f [ % ] Cross-validation: %d/%lu: Average %s: %.6f Accuarcy F1 MAPE RMSD Early-stopping at epoch %d, best %s: %f /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/solver/trainer.cc calc_gradient reader.empty() calc_metric reader_list.empty() [ ACTION ] /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/base/format_print.h print_row column.size() width.size() The test loss is: %.6f /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/solver/inference.cc in.size() out.size() a r+ a+ wb ab r+b w+b a+b USER USERNAME /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/base/system.h print_current_time localtime_r(¤t_time, &broken_down_time) == &broken_down_time %04d%02d%02d-%02d%02d%02d get_log_file !file_base.empty() %s.%s.%s.%s.%u disk /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/solver/solver.cc create_reader Cannot create reader: create_score Cannot create score: create_loss Cannot create loss: Arguments error _train _predict %s.INFO %s.WARN %s.ERROR xLearn uses %i threads for training task. Read Problem ... init_train Start to init Reader hyper_param_.num_folds Split file into parts. hyper_param_.train_set_file.empty() Number of Reader: Cannot open the file %s Init Reader: hyper_param_.train_dataset Cannot open initialze dataset %d Feature index is too large (overflow). Number of feature: Number of Feature: %d Number of field: Number of Field: %d Time cost for reading problem: %.2f (sec) Initialize model ... Number parameters: Model size: %s Time cost for model initial: %.2f (sec) Initialize score function. Initialize loss function. Initialize evaluation metric. xLearn uses %i threads for prediction task. Load model ... init_predict hyper_param_.model_file.empty() Load model from %s Loss function: %s Score function: %s Number of K: %d Number of field: %d Time cost for loading model: %.2f (sec) Initialize model. hyper_param_.test_set_file.empty() hyper_param_.test_dataset Initialize Reader: StartWork Start training work. Start inference work. Start to train ... Finish Cross-Validation Start to save model ... Model file: %s Time cost for saving model: %.2f (sec) Start to save txt model ... TXT Model file: %s Time cost for saving txt model: %.2f (sec) Finish training Start to predict ... Clear Clear the xLearn environment ... thread constructor failed SetBlockSize %.2f GB %.2f MB %.2f KB /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/loss/loss.h score pool /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/solver/trainer.h model SaveModel filename.compare("none") SaveTxtModel /Users/runner/runners/2.164.0/work/ml-test-builds/ml-test-builds/xlearn/src/solver/inference.h reader out.empty() H L XQ ! Q ! aQX Q Qa r @ \ d b \ @ , t ' + / \ @1 1 3 3 4 5 t p5 P7 7 09 X 9 ; = > @ B E G \ L S T U X p^ l b 0q r u x ( x ` , @ \ @ 4 0 H p p < l H 0 x p $ 8 % ` % p % & 4 4 05 6 = ` `? 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+ 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. --dis-lock-free 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' ? .model Validation data file: %s does not exist. Training dataset is None, please check! The thread number must be greater than zero: %d. The task can only be 'binary' or 'reg'. Unknow evaluation metric: %s. Unknow optimization method: %s. Invalid size of K: %d. Size of K must be greater than zero. Invalid size of folds: %d. Size of folds must be greater than zero. Invalid number of epoch: %d. Number of epoch must be greater than zero. Transform DMatrix not from file doesn't support cross-validation. xLearn has already disable the -cv option. On-disk training doesn't support cross-validation. xLearn has already disable the -cv option. Cross-validation doesn't support early-stopping. xLearn has already close early-stopping. The --cv (cross-validation) has been set, and xLearn will ignore the validation file: %s The --cv (cross-validation) has been set, and xLearn will ignore the --quiet option. The --cv (cross-validation) has been set, and xLearn will not dump model checkpoint to disk. Validation file(dataset) not found, xLearn has already disable early-stopping. Validation file not found, xLearn has already disable (-x %s) option. The -x: %s metric can only be used in classification tasks. xLearn will ignore this option. The -x: %s metric can only be used in regression tasks. xLearn will ignore this option. The test file and model file must be set. Test set file: %s does not exist. Model file: %s does not exist. .out Test dataset is None, please check! Both of --sign and --sigmoid have been set. xLearn has already disable --sign and --sigmoid. [ WARNING ] Epoch Train Test Time cost (sec) [------------] %d %.6f %.2f [ % ] Cross-validation: %d/%lu: Average %s: %.6f Accuarcy F1 MAPE RMSD Early-stopping at epoch %d, best %s: %f /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/solver/trainer.cc calc_gradient reader.empty() calc_metric reader_list.empty() [ ACTION ] /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/base/format_print.h print_row column.size() width.size() The test loss is: %.6f /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/solver/inference.cc in.size() out.size() a r+ a+ wb ab r+b w+b a+b USER USERNAME /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/base/system.h print_current_time localtime_r(¤t_time, &broken_down_time) == &broken_down_time %04d%02d%02d-%02d%02d%02d get_log_file !file_base.empty() %s.%s.%s.%s.%u disk /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/solver/solver.cc create_reader Cannot create reader: create_score Cannot create score: create_loss Cannot create loss: Arguments error _train _predict %s.INFO %s.WARN %s.ERROR xLearn uses %i threads for training task. Read Problem ... init_train Start to init Reader hyper_param_.num_folds Split file into parts. hyper_param_.train_set_file.empty() Number of Reader: Cannot open the file %s Init Reader: hyper_param_.train_dataset Cannot open initialze dataset %d Feature index is too large (overflow). Number of feature: Number of Feature: %d Number of field: Number of Field: %d Time cost for reading problem: %.2f (sec) Initialize model ... Number parameters: Model size: %s Time cost for model initial: %.2f (sec) Initialize score function. Initialize loss function. Initialize evaluation metric. xLearn uses %i threads for prediction task. Load model ... init_predict hyper_param_.model_file.empty() Load model from %s Loss function: %s Score function: %s Number of K: %d Number of field: %d Time cost for loading model: %.2f (sec) Initialize model. hyper_param_.test_set_file.empty() hyper_param_.test_dataset Initialize Reader: StartWork Start training work. Start inference work. Start to train ... Finish Cross-Validation Start to save model ... Model file: %s Time cost for saving model: %.2f (sec) Start to save txt model ... TXT Model file: %s Time cost for saving txt model: %.2f (sec) Finish training Start to predict ... Clear Clear the xLearn environment ... thread constructor failed SetBlockSize %.2f GB %.2f MB %.2f KB /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/loss/loss.h score pool /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/solver/trainer.h model SaveModel filename.compare("none") SaveTxtModel /Users/runner/runners/2.164.0/work/ml-builds/ml-builds/xlearn/src/solver/inference.h reader out.empty() H L XQ ! Q ! aQX Q Qa R " \ d 2 \ " $ ) D `2 @6 ܵ : , ; l < p= ض = P? D ? p A B pC ( C T E H ̸ I L P 0Q , V ] Ժ @^ _ ( h < l p pz p{ } H м Л , h x 0 0 X 0 Ⱦ p ` @ < l 0 H 0 d P 0% & 0 & @ & P ' ` 4 5 5 6 = 0 ? ` B x E L O O R 8 R H @U p \ ^ Pe g @ k \ l l l | p q pv x { 8 @| H ~ p ` Ћ 8 p ` 0 \ Ш t ` 0 \ 0 P 0 0 X p \ p P 0 8 h
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7EvaluteERKNSt3__16vectorIfNS1_9allocatorIfEEEES7_ !8CalcGradEPKNS_7DMatrixERNS_5ModelE " Ы Registry_xLearn_ "_xLearn_metric_registryF1MetricEv & metric_registry12CreateObjectERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE $parser_registry12CreateObjectERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE -reader_registry12CreateObjectERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE / A %MAEMetricEv & ccMetricEv %UCMetricEv ' metric_registry %score_registryLinearScoreEv 5 PrecMetricEv &MAPEMetricEv &RMSDMetricEv & metric_registryRecallMetricEv &parser_registryLibsvmParserEv -reader_registry / A (MAEMetric16mae_accum_threadEPKNSt3__16vectorIfNS1_9allocatorIfEEEES7_Pfmm -FFMParser5ParseEPcyRNS_7DMatrixEb /CSVParser5ParseEPcyRNS_7DMatrixEb /Predictor F ccMetric16acc_accum_threadEPKNSt3__16vectorIfNS1_9allocatorIfEEEES7_Pjmm )UCMetric16auc_accum_threadEPKNSt3__16vectorIfNS1_9allocatorIfEEEES7_PNS0_4InfoEmm - PrecMetric17prec_accum_threadEPKNSt3__16vectorIfNS1_9allocatorIfEEEES7_PjS8_mm +MAPEMetric16mae_accum_threadEPKNSt3__16vectorIfNS1_9allocatorIfEEEES7_Pfmm -RMSDMetric17rmsd_accum_threadEPKNSt3__16vectorIfNS1_9allocatorIfEEEES7_Pfmm - RecallMetric19recall_accum_threadEPKNSt3__16vectorIfNS1_9allocatorIfEEEES7_PjS8_mm ,LibsvmParser5ParseEPcyRNS_7DMatrixEb /OndiskReader 2FromDMReader 4 1Metric15f1_accum_threadEPKNSt3__16vectorIfNS1_9allocatorIfEEEES7_PjS8_mm -FMScore < Н FFMParserEv .CSVParserEv . л Parser20get_line_from_bufferEPcS1_yy /Reader1 0Solver H2g_object_creator_register_xLearn_loss_registryCrossEntropyLossE 0g_object_creator_register_xLearn_ OndiskReaderEv 0FromDMReaderEv 0 7check_file_formatEv 02shrink_blockEPcPmP7__sFILE 0 1 17SamplesERPNS_7DMatrixE 25ResetEv 2 0InitializeERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE 21hash_binaryERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE 26init_from_binaryEv 23init_from_txtEv 2 10InitializeERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE 35ResetEv 37SamplesERPNS_7DMatrixE 3 Ѝ 10InitializeERPNS_7DMatrixE 47SamplesERPNS_7DMatrixE 4 Registry_xLearn_score_registry12CreateObjectERKNSt3__112basic_stringIcNS1_11char_traitsIcEENS1_9allocatorIcEEEE 5_xLearn_score_registryFFMScoreEv 5 9CalcScoreEPKNSt3__16vectorINS_4NodeENS1_9allocatorIS3_EEEERNS_5ModelEf 78CalcGradEPKNSt3__16vectorINS_4NodeENS1_9allocatorIS3_EEEERNS_5ModelEff 71 7 3calc_grad_sgdEPKNSt3__16vectorINS_4NodeENS1_9allocatorIS3_EEEERNS_5ModelEff 97calc_grad_adagradEPKNSt3__16vectorINS_4NodeENS1_9allocatorIS3_EEEERNS_5ModelEff 94calc_grad_ftrlEPKNSt3__16vectorINS_4NodeENS1_9allocatorIS3_EEEERNS_5ModelEff 9 FMScore 9Checker @Trainer C 9CalcScoreEPKNSt3__16vectorINS_4NodeENS1_9allocatorIS3_EEEERNS_5ModelEf :8CalcGradEPKNSt3__16vectorINS_4NodeENS1_9allocatorIS3_EEEERNS_5ModelEff :1 :
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