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_ZSt7forwardISt5tupleIJRKiEEEOT_RNSt16remove_referenceIS4_E4typeE _ZSt7forwardISt5tupleIIRKiEEEOT_RNSt16remove_referenceIS4_E4typeE _ZNSt8_Rb_treeIiSt4pairIKiSsESt10_Select1stIS2_ESt4lessIiESaIS2_EE14_M_create_nodeIJRKSt21piecewise_construct_tSt5tupleIJRS1_EESD_IJEEEEEPSt13_Rb_tree_nodeIS2_EDpOT_ _ZNSt8_Rb_treeIiSt4pairIKiSsESt10_Select1stIS2_ESt4lessIiESaIS2_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS2_ERS1_ _ZNSt8_Rb_treeIiSt4pairIKiSsESt10_Select1stIS2_ESt4lessIiESaIS2_EE14_M_insert_nodeEPSt18_Rb_tree_node_baseSA_PSt13_Rb_tree_nodeIS2_E _ZNSt17_Rb_tree_iteratorISt4pairIKiSsEEC1EPSt18_Rb_tree_node_base _ZNSt8_Rb_treeIiSt4pairIKiSsESt10_Select1stIS2_ESt4lessIiESaIS2_EE22_M_emplace_hint_uniqueIIRKSt21piecewise_construct_tSt5tupleIIRS1_EESD_IIEEEEESt17_Rb_tree_iteratorIS2_ESt23_Rb_tree_const_iteratorIS2_EDpOT_ _ZNK9__gnu_cxx17__normal_iteratorIPKcSsE4baseEv _ZSt27__uninitialized_default_n_aIPimiET_S1_T0_RSaIT1_E _ZSt7forwardIRKiEOT_RNSt16remove_referenceIS2_E4typeE 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_ZSt14__copy_move_a2ILb0EN9__gnu_cxx17__normal_iteratorIPKSt4pairISsSsESt6vectorIS3_SaIS3_EEEENS1_IPS3_S8_EEET1_T0_SD_SC_ _ZSt8_DestroyIN9__gnu_cxx17__normal_iteratorIPSt4pairISsSsESt6vectorIS3_SaIS3_EEEEEvT_S9_ _ZSt12__miter_baseIPSt4pairISsSsEENSt11_Miter_baseIT_E13iterator_typeES4_ _ZSt14__copy_move_a2ILb0EPSt4pairISsSsES2_ET1_T0_S4_S3_ _ZSt18uninitialized_copyIPSt4pairISsSsES2_ET0_T_S4_S3_ _ZN9__gnu_cxx13new_allocatorISt4pairISsSsEE9constructIS2_JSsSsEEEvPT_DpOT0_ _ZNSt16allocator_traitsISaISt4pairISsSsEEE9constructIS1_ISsSsEEEvRS2_PT_DpOT0_ _ZNSt6vectorISt4pairISsSsESaIS1_EE19_M_emplace_back_auxIISsSsEEEvDpOT_ _ZSt7advanceIN9__gnu_cxx17__normal_iteratorIPmSt6vectorImSaImEEEElEvRT_T0_ _ZNSt25uniform_real_distributionIdE10param_typeC2Edd _ZNSt8__detail8_AdaptorISt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EEdEC1ERS2_ _ZNSt8__detail8_AdaptorISt23mersenne_twister_engineImLm32ELm624ELm397ELm31ELm2567483615ELm11ELm4294967295ELm7ELm2636928640ELm15ELm4022730752ELm18ELm1812433253EEdEclEv _ZNKSt25uniform_real_distributionIdE10param_type1bEv _ZNKSt25uniform_real_distributionIdE10param_type1aEv _ZNSt21discrete_distributionImE10param_typeC2IZN7xgboost3gbm4Dart9DropTreesEjEUldE_EEmddT_ _ZNSt6vectorIdSaIdEEC1Ev _ZNSt6vectorIdSaIdEE7reserveEm _ZNSt6vectorIdSaIdEE9push_backEOd _ZNSt21discrete_distributionImE10param_type13_M_initializeEv _ZNSt12_Vector_baseIdSaIdEE12_Vector_implD2Ev _ZNSaIdED2Ev _ZNSt12_Vector_baseIdSaIdEE12_Vector_implD1Ev _ZNSt12_Vector_baseIdSaIdEE13_M_deallocateEPdm _ZNSt12_Vector_baseIdSaIdEED1Ev _ZSt8_DestroyIPdEvT_S1_ _ZNKSt6vectorIdSaIdEE5emptyEv _ZNKSt6vectorIdSaIdEE3endEv _ZNKSt6vectorIdSaIdEE5beginEv _ZSt11lower_boundIN9__gnu_cxx17__normal_iteratorIPKdSt6vectorIdSaIdEEEEdET_S8_S8_RKT0_ _ZN9__gnu_cxxmiIPKdSt6vectorIdSaIdEEEENS_17__normal_iteratorIT_T0_E15difference_typeERKS9_SC_ _ZNSt16allocator_traitsISaIfEE9constructIfJfEEEvRS0_PT_DpOT0_ _ZNSt6vectorIfSaIfEE19_M_emplace_back_auxIJfEEEvDpOT_ _ZNSt6vectorIfSaIfEE12emplace_backIIfEEEvDpOT_ _ZNSt8_Rb_treeISsSt4pairIKSsiESt10_Select1stIS2_ESt4lessISsESaIS2_EE6_M_endEv _ZNSt8_Rb_treeISsSt4pairIKSsiESt10_Select1stIS2_ESt4lessISsESaIS2_EE14_M_lower_boundEPSt13_Rb_tree_nodeIS2_ESB_RS1_ _ZNSt8_Rb_treeISsSt4pairIKSsiESt10_Select1stIS2_ESt4lessISsESaIS2_EE11_M_get_nodeEv _ZNSt8_Rb_treeISsSt4pairIKSsiESt10_Select1stIS2_ESt4lessISsESaIS2_EE17_M_construct_nodeIJRKSt21piecewise_construct_tSt5tupleIJRS1_EESD_IJEEEEEvPSt13_Rb_tree_nodeIS2_EDpOT_ _ZNSt8_Rb_treeISsSt4pairIKSsiESt10_Select1stIS2_ESt4lessISsESaIS2_EE14_M_create_nodeIIRKSt21piecewise_construct_tSt5tupleIIRS1_EESD_IIEEEEEPSt13_Rb_tree_nodeIS2_EDpOT_ _ZNKSt23_Rb_tree_const_iteratorISt4pairIKSsiEE13_M_const_castEv _ZNSt8_Rb_treeISsSt4pairIKSsiESt10_Select1stIS2_ESt4lessISsESaIS2_EE12_M_rightmostEv _ZNSt8_Rb_treeISsSt4pairIKSsiESt10_Select1stIS2_ESt4lessISsESaIS2_EE24_M_get_insert_unique_posERS1_ _ZNSt8_Rb_treeISsSt4pairIKSsiESt10_Select1stIS2_ESt4lessISsESaIS2_EE11_M_leftmostEv _ZNSt17_Rb_tree_iteratorISt4pairIKSsiEEmmEv _ZNSt17_Rb_tree_iteratorISt4pairIKSsiEEppEv _ZNSt17_Rb_tree_iteratorISt4pairIKSsiEEC2EPSt18_Rb_tree_node_base _ZNSt8_Rb_treeIiSt4pairIKiSsESt10_Select1stIS2_ESt4lessIiESaIS2_EE6_M_endEv _ZNSt8_Rb_treeIiSt4pairIKiSsESt10_Select1stIS2_ESt4lessIiESaIS2_EE14_M_lower_boundEPSt13_Rb_tree_nodeIS2_ESB_RS1_ _ZNSt8_Rb_treeIiSt4pairIKiSsESt10_Select1stIS2_ESt4lessIiESaIS2_EE11_M_get_nodeEv _ZNSt8_Rb_treeIiSt4pairIKiSsESt10_Select1stIS2_ESt4lessIiESaIS2_EE17_M_construct_nodeIJRKSt21piecewise_construct_tSt5tupleIJRS1_EESD_IJEEEEEvPSt13_Rb_tree_nodeIS2_EDpOT_ _ZNSt8_Rb_treeIiSt4pairIKiSsESt10_Select1stIS2_ESt4lessIiESaIS2_EE14_M_create_nodeIIRKSt21piecewise_construct_tSt5tupleIIRS1_EESD_IIEEEEEPSt13_Rb_tree_nodeIS2_EDpOT_ 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= ?Dl y= ?Dl T?< ?Dl ?= ?Dl ?= ?Dl ?= ?Dl ?= El ?= El ?= El ?= (El ?:= 0El ?= @El ?= HEl ?= XEl ?= `El o?< pEl ?= xEl ?= ?El ?= ?El ?= ?El ?= ?El o?< ?El ?= ?El ?= ?El ?= ?El ?= ?El ?= ?El ?= Fl ?= Fl ?= Fl ?= Fl ?= 0Fl ?= 8Fl ?= HFl ?= PFl ?= `Fl ?= hFl ?= xFl = ?Fl ?= ?Fl = ?Fl ?= ?Fl ?= ?Fl = ?Fl = ?Fl = Gl G= Gl G= Gl = 0Gl = @Gl N= PGl #= `Gl -= pGl -= ?Gl (= ?Gl (= ?Gl 4= ?Gl 4= ?Gl := ?Gl := ?Gl E= ?Gl E= Hl \= Hl \= Hl S= 0Hl `= `Hl r= pHl r= ?Hl i= ?Hl i= ?Hl ?= ?Hl ?= ?Hl w= ?Hl w= @Il ?= PIl ?= `Il ?= pIl ?= ?Il ?= ?Il ?= ?Il ?= ?Il N= ?Il ?= ?Il r= Jl ?= Jl ?= Jl ? = 0Jl ? = @Jl ?= PJl ?= `Jl ?= pJl ?= ?Jl ?= ?Jl ?= ?Jl ?= ?Jl ?= ?Jl ?= ?Jl ?= ?Jl ?= ?Jl ?= Kl ?= Kl ?= Kl @Kl @Kl ?= HKl ?= PKl ?= XKl ?= `Kl ?= hKl ?= pKl ?= xKl ?= ?Kl ?= ?Kl ?= ?Kl ?= ?Kl ?= ?Kl ?Kl ?Kl Ĭ ?Kl ? ?Kl ?d; ?Kl pNl (Ll ?Nl `Ll ?Nl ?Ll ?Nl Ml Ol (Ml D? 0Ml ?? pMl ?b ?Ml Ol ?Ml 8Ol HNl ?k; `Nl 0l; hNl pNl xNl Pl; ?Nl ?Nl ?Nl ?l; ?Nl ?l; ?Nl ?Nl ?Nl ?l; ?Nl m; ?Nl Ol ?Nl `m; ?Nl Ol ?Nl ?m; Ol ?m; (Ol ?m; 0Ol 8Ol @Ol ?m; ?Ol ?v; ?Ol xPl ?Ol ?4 ?Ol ?Pl Pl nK @Pl ?Pl HPl ?? PPl (? hPl ??; pPl 8Ol ?Pl ??; ?Pl ?; ?Pl ?Pl ?Pl `?; ?Pl ?Pl ?Pl ??; ?Pl ?Pl ?Pl ??; ?Pl ?; ?Pl ?Kl Ql ??; Ql ?Nl Ql ?Ql Ql f? (Ql ?? 0Ql ? 8Ql ?? @Ql ?? HQl d? PQl ?? XQl ? `Ql : hQl ?4 xQl ?Ql ?Ql `?; ?Ql ?Ql ?Ql ??; ?Ql xPl ?Ql ??; Rl pRl Rl ` Rl ? Rl ? Rl ? (Rl ? 0Rl p 8Rl ? @Rl ? HRl t PRl ?4 `Rl `?; hRl ?Ql xRl ??; ?Rl xPl ?Rl ?Rl ?Rl ??; ?Rl ?; ?Rl ?Rl ?Rl @?; ?Sl ??; ?Sl ?; ?Sl `?; Tl ?Nl Tl ??; Tl ?Nl 8Tl ??; PTl ??; pTl ?; ?Tl ?Ul ?Tl ?t Ul ?; Ul P?; Ul ?Ul 0Ul ??; 8Ul @Ul HUl ??; PUl XUl `Ul ?; hUl ?Pl xUl @?; ?Ul ?Ul ?Ul ??; ?Ul ?Ul ?Ul ??; ?Ul ?Pl ?Ul ?; ?Ul ?; ?Ul ?Ul ?Ul `?; ?Ul ?Ul Vl ??; Vl ?Pl Vl ?; Vl (Vl 0Vl ?; 8Vl ?Pl HVl ?; XVl @?; pVl ?; xVl ?Vl ?Vl ?; ?Vl ?Ul ?Vl ?; ?Vl ?Vl ?Vl `?; ?Vl ?Pl ?Vl ?Wl XWl ?Wl ?Wl ??; ?Wl ?Wl ?Wl ?; ?Wl ?Pl ?Wl `?; ?Wl ?Pl ?Wl ??; ?Wl ?Wl ?Wl ?; Xl Yl Xl FZ 0Xl Yl `Xl ??; xXl ?; ?Xl Yl ?Xl @?; ?Xl Yl ?Xl ??; ?Xl Yl ?Xl ??; ?Xl Yl ?Xl ?; ?Xl Yl ?Xl @?; ?Xl Yl Yl ??; Yl ??; (Yl ??; @Yl @?; HYl Yl XYl ?Zl `Yl n! ?Yl ??; ?Yl ??; ?Yl ??; ?Yl ??; ?Yl ?; ?Yl ?; ?Yl @?; Zl `?; Zl ?; Zl ?Zl 0Zl `?; 8Zl ?Zl HZl ??; PZl ?Zl `Zl ??; hZl ?Zl xZl ?; ?Zl ?Zl ?Zl `?; ?Zl ?Zl ?Zl ??; ?Zl ?Zl ?Zl ??; ?Zl ?Zl ?Zl ?; ?Zl ?[l ?Zl أ! ?Zl ?! [l ?[l ([l ʨ! 0[l ?! X[l ?; h[l @?; ?[l @?; ?[l ?[l ?[l ??; ?[l ?Zl ?[l ??; ?[l ?[l ?[l ?; ?[l ?Zl ?[l ]l ?[l n! ?[l ?" ?[l ? " \l < 0\l 0< @\l P< P\l p< `\l ?< p\l ?< ?\l ?< ?\l ?< ?\l ?Zl ?\l ?< ?\l ?Zl ?\l ?< ?\l ]l ?\l ?< ?\l ]l ?\l < ]l ]l ]l @< ]l ?Zl (]l `< 0]l ?Zl @]l ?< H]l ?Zl X]l ?]l ?]l D$ ?]l T$ ?]l ?$ ?]l p < ?]l p
< ?]l ?]l ?]l ?
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?< P?m ?
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= ??m ?== ??m ?
= ??m = Ȣm o= Тm = آm g
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???D??1?I??L?|$ L??D$H?D$@H?D$H?D$8H?$? @ HD$@I9?? I?_H9??????L?D H? $H?t$ ?|$I??O?l?M??I?U????H?L$?|$1?H??????H?D$8I9?s?L??? D L?=ђ2 I??????L?d$(1?1?1?L?D$H?T$??H?|?H??H??I9?tI?|? H?|?u?I?|?H????H?D$@H?T$HH?D$H?D$ H?HH?L$I?uH?BHAH;D$?V H??H???'???H?D$HH?D$H?@H??H?D$?? L?|$@H?,$L?d$I??M?oI??f?H?l$H?L$M??H?D$L?d?u? ?I?D?H??I??I?D?tvI?m?L??H?<$I?t??Ӆ??H?L$I??I?D
H??M?$?u?H?D$H?,$L?d$H?@IGH?D$HH?D$H?|$??x??H?D$@H?UH?H?E?M ????f D E1??L?l$?????H???????H?D$@H?UH??H???
????o????U ?? ??? ЉE ?????L??????H?T$H??H????????L??1?1????????? ? H?=??1 ?? H?F H?????H?F H?F H?~f?F t2SH?=R?2 H???J???H?s?2 H? l?2 H?=5?2 H?C([?+%?? H?Q?2 H?5J?2 H?F(? D H??t}D?E??tuH?=?1 ?? H?F H?????H?VH?NH?~f?F t5SH?=͑2 H???Ū??H??2 H? ?2 H?=??2 H?C([?$??f D H?ɑ2 H?52 H?F(??fff. ? H??t???u?? ?????ff. ? ???u
?? ? SH???0 ?2???H??H??[????f D H?F ?F f?N ?H?=?1 H?????H?VH?NH?~t1SH?=??2 H??????H??2 H? ?2 H?=ܐ2 H?C([??#??f?H???2 H?5?2 H?F(?ffff. ? 1?1??w??? ? SH???0 肋??H??1?1?[H???R???f?H??ATUS?? ????? L?%Z?1 H??M??t H?=S?2 ?N???H?w?2 H??t$H;hu?? ? H;ktzH??H?X(H??u?H? ??2 H??trH?3?2 ? f ? H?SH;*twH?C(H?[(H??tJ?C u?H;ku?H?S(H?M??tH?=ˏ2 ??"??H??t_H??[]A\?f ? H??(??f. ? M??t91??? ? 1?H??[]A\?f D H?S(H?H?{? u???H??H???2 ????ffff. ? ?????ff. ? ???u
?? ? H??????H??H????t??ff. ? AVAUI??ATUH??SH??0L?%?1 M??t H?=?2 ????H? ?2 H??u? D H?[(H???? L;+r?L??H???#???H??I???? M??t H?=??2 ?!??H?C?C H?E H?CH?E?A ?C f????D??H??D???????I?VH??H??D???p???H?$H?EL??H??0[]A\A]A^?H?5Y?2 ?M??H?S(H? ?y???H? I?2 H??tWH?C(L??H??H?3?2 ?n???H? ?2 I??H??t?H? H;
v ? D H9
r?H?r(H?R(H??u?M??H?S(H? t?????M??t H?=??2 ? ??H?=U???H??L?,$H?D$ H?D$ H?D$ H?D$ ?D$( ?
?????xCH?D$ H??????H?T$H?U H?T$H?UH?T$H?U?????IcFI?~H)??+???????1??????f. ? D H?)>2 H??t
H?1??:=??1??? H??H??? ? ??? ?7?5 _Z + Stack trace:
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%02d:%02d:%02d [ ] : : /home/travis/build/myui/build-xgboost-jvm/xgboost/jvm-packages/xgboost4j/src/native/xgboost4j.cpp Check failed: jni_status == JNI_OK java/util/Iterator ()Z hasNext ()Ljava/lang/Object; next Check failed: jenv->ExceptionOccurred() [J rowOffset [F label weight [I featureIndex featureValue Check failed: jenv->GetArrayLength(jlabel) == static_cast(cbatch.size) batch.label.length must equal batch.numRows() jenv->GetArrayLength(jweight) == static_cast(cbatch.size) batch.weight.length must equal batch.numRows() jenv->GetArrayLength(jindex) == max_elem batch.index.length must equal batch.offset.back() jenv->GetArrayLength(jvalue) == max_elem (*set_function)(set_function_handle, cbatch) == 0 java/lang/String q ( vs. vector::_M_emplace_back_aux N4dmlc5ErrorE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : AssertError:%s
read can not have position excceed buffer length write position exceed fixed buffer size ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/././feature_map.h Check failed: fid == static_cast(names_.size()) i q int float unknown feature type, use i for indicator and q for quantity eval_metric SAVED_PARAM_ /home/travis/build/myui/build-xgboost-jvm/xgboost/src/c_api/c_api.cc Check failed: learner_->GetAttr(attr_name, &saved_param_value) Check failed: at_first_ cannot reset NativeDataIter XGBoost distributed mode detected, will split data among workers auto mat.info.num_col_ <= num_col num_col= vs mat.info.num_row_ <= num_row mat.info.num_row_ == offset_vec.size() - 1 Check failed: nan_missing There are NAN in the matrix, however, you did not set missing=NAN Check failed: !badnan[i] float32 float64 bool8 int32 int8 int16 int64 Unknown data table type. ???????A???o???????????I???DMatrix/Booster has not been intialized or has already been disposed. src.info.group_ptr_.size() == 0U slice does not support group structure Check failed: iter->Next() static_cast(ridx) < batch.Size() label weight base_margin Unknown float field name root_index Unknown uint field name r w text ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 vector::reserve vector::_M_default_append vector::_M_emplace_back_aux vector::_M_range_insert vector::_M_fill_insert ??? ?? ??????? ??????? ? St15_Sp_counted_ptrIPN7xgboost7DMatrixELN9__gnu_cxx12_Lock_policyE2EE N7xgboost14NativeDataIterE N4dmlc6ParserIjfEE N4dmlc8DataIterINS_8RowBlockIjfEEEE N7xgboost10DataSourceE N4dmlc8DataIterIN7xgboost10SparsePageEEE N5rabit5utils18MemoryBufferStreamE N5rabit5utils19MemoryFixSizeBufferE N4dmlc7istreamE N4dmlc7istream5InBufE N4dmlc10SeekStreamE N4dmlc6StreamE St16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EE ? ??? ?7?5 ???????? AssertError:%s
_Z + Stack trace:
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%02d:%02d:%02d [ ] : : read can not have position excceed buffer length write position exceed fixed buffer size ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/data.h Check failed: impl_ != nullptr ======== Monitor: ======== /home/travis/build/myui/build-xgboost-jvm/xgboost/src/common/././timer.h Timer for did not get stopped properly. s, calls @ us HistCutMatrix /home/travis/build/myui/build-xgboost-jvm/xgboost/src/common/hist_util.cc Row does not lie in any group!
Init Check failed: nthread == omp_get_num_threads() summary_array.size() == in_sketchs->size() cut.size() <= std::numeric_limits::max() cut_size > row_ptr.back() Check failed: cbegin != cend cut.cut.size() > 0U ibegin + inst.size() == iend ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/src/common/./span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: _idx >= 0 && _idx < size() Check failed: 0 <= index_ && index_ != span_->size() Check failed: index_ < span_->size() /home/travis/build/myui/build-xgboost-jvm/xgboost/src/common/././quantile.h check quantile stats, nbig= , n= srcsize= , maxsize= , range= , chunk= Check failed: nbig < n quantile: too many large chunk vector::_M_default_append vector::_M_emplace_back_aux Check failed: n * limit_size >= maxn invalid init parameter Check failed: nlevel <= limit_size * eps Check failed: sa.size > 0 && sb.size > 0 mingap= , maxgap= , wgap= Check failed: size <= sa.size + sb.size bug in combine ] rmin= , rmax= , wmin= , v= fi.Read(&this->size, sizeof(this->size)) == sizeof(this->size) fi.Read(this->data, this->size * sizeof(Entry)) == this->size * sizeof(Entry) vector::_M_fill_insert vector::_M_range_insert ?? e??A ????? ?h㈵??> @ ?Co?: A N7xgboost6common13HistCutMatrixE ? ??? ?7?5 _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/src/common/host_device_vector.cc Check failed: Size() == other.Size() Size() == other.size() ( vs. vector::_M_fill_insert _Z + Stack trace:
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%02d:%02d:%02d [ ] : : int Invalid Input: ' ', valid values are: optional, default= , required /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/././parameter.h Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/src/data/../common/io.h Not implemented /home/travis/build/myui/build-xgboost-jvm/xgboost/src/data/data.cc Check failed: fi->Read(&version, sizeof(version)) == sizeof(version) MetaInfo: invalid version Check failed: version >= 1 && version <= kVersion MetaInfo: unsupported file version Check failed: fi->Read(&num_row_, sizeof(num_row_)) == sizeof(num_row_) MetaInfo: invalid format Check failed: fi->Read(&num_col_, sizeof(num_col_)) == sizeof(num_col_) Check failed: fi->Read(&num_nonzero_, sizeof(num_nonzero_)) == sizeof(num_nonzero_) Check failed: fi->Read(&labels_.HostVector()) Check failed: fi->Read(&group_ptr_) Check failed: fi->Read(&qids_) Check failed: fi->Read(&weights_.HostVector()) Check failed: fi->Read(&root_index_) Check failed: fi->Read(&base_margin_.HostVector()) r root_index Unknown data type label weight base_margin group cache_file.find('#') == std::string::npos Only one `#` is allowed in file path for cache file specification. .r - XGBOOST_TEST_NPART Load part of data of parts auto matrix with entries loaded from .group groups are loaded from .base_margin base_margin are loaded from .weight weights are loaded from .row.page w Unknown format type .fmt- raw Check failed: batch.index != nullptr offset_vec.back() == data.Size() self_offset.size() == other_offset.size() self_data.size(): other_data.size(): beg < data.size() ptr < offset.size() ( vs. Invalid Parameter format for expect but value=' optional, default= map::at vector::reserve vector::_M_default_append vector::_M_emplace_back_aux vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu) Required parameter is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to ?? N7xgboost6common16PeekableInStreamE N7xgboost7DMatrixE N4dmlc9parameter10FieldEntryIiEE N4dmlc9parameter17FieldEntryNumericINS0_10FieldEntryIiEEiEE N4dmlc9parameter14FieldEntryBaseINS0_10FieldEntryIiEEiEE N4dmlc9parameter16FieldAccessEntryE N4dmlc10ParamErrorE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/data.h Check failed: impl_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/src/data/simple_csr_source.cc Check failed: info.qids_.empty() || info.qids_.size() == info.num_row_ Check failed: fi->Read(&tmagic, sizeof(tmagic)) == sizeof(tmagic) invalid input file format Check failed: tmagic == kMagic invalid format, magic number mismatch ( vs. vector::_M_default_append vector::_M_emplace_back_aux vector::_M_range_insert ?? N7xgboost4data15SimpleCSRSourceE ? ??? ?7?5 _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/data.h Check failed: impl_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/src/data/simple_dmatrix.cc Check failed: page_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: _idx >= 0 && _idx < size() vector::_M_default_append vector::_M_emplace_back_aux vector::_M_fill_insert ?? N7xgboost4data23SimpleBatchIteratorImplE N7xgboost4data13SimpleDMatrixE N7xgboost17BatchIteratorImplE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/data.h Check failed: impl_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/src/data/sparse_page_dmatrix.cc Check failed: source_ != nullptr .sorted.col.page .col.page /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 vector::_M_default_append vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu) ?? N7xgboost4data23SparseBatchIteratorImplE N7xgboost4data17SparsePageDMatrixE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/src/data/sparse_page_raw_format.cc Check failed: page->offset.Size() != 0U Invalid SparsePage file fi->Read(dmlc::BeginPtr(data_vec), (page->data).Size() * sizeof(Entry)) == (page->data).Size() * sizeof(Entry) fid + 1 < disk_offset_.size() disk_offset_[fid] > curr_offset fi->Read(dmlc::BeginPtr(data_vec) + offset_vec[i], size_to_read * sizeof(Entry)) == size_to_read * sizeof(Entry) Check failed: page.offset.Size() != 0 && offset_vec[0] == 0 offset_vec.back() == page.data.Size() ( vs. vector::_M_default_append vector::_M_emplace_back_aux *N7xgboost4dataUlvE_E Raw binary data format. raw N7xgboost4data19SparsePageRawFormatE N7xgboost4data16SparsePageFormatE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/data.h Check failed: impl_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/src/data/sparse_page_source.cc Check failed: cache_shards.size() != 0U r finfo->Read(&tmagic, sizeof(tmagic)) == sizeof(tmagic) Check failed: fi->Read(&format) Invalid page format .row.page Writing to in MB/s, written w Check failed: info.qids_.empty() || info.qids_.size() == info.num_row_ SparsePageSource::CreateRowPage Finished writing to .col.page .sorted.col.page Unknown page type: Writing to SparsePageSource: Finished writing to ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: _idx >= 0 && _idx < size() /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/threadediter.h Check failed: producer_sig_ == kProduce Make sure you call BeforeFirst not inconcurrent with Next! Check failed: produce_end_.load(std::memory_order_acquire) Check failed: !producer_sig_processed_ vector::_M_emplace_back_aux vector::_M_default_append vector::_M_range_insert vector::_M_fill_insert *ZN7xgboost4data16SparsePageSourceC4ERKSsS3_EUlvE0_ *ZN7xgboost4data16SparsePageSourceC4ERKSsS3_EUlPPNS_10SparsePageEE_ Check failed: out_data_ != NULL Calling Value at beginning or end? e??A @ St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterIN7xgboost10SparsePageEE4InitESt8functionIFbPPS6_EES8_IFvvEEEUlvE_vEEEESaISI_ELN9__gnu_cxx12_Lock_policyE2EE St19_Sp_make_shared_tag NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterIN7xgboost10SparsePageEE4InitESt8functionIFbPPS5_EES7_IFvvEEEUlvE_vEEEE N4dmlc12ThreadedIterIN7xgboost10SparsePageEEE N7xgboost4data16SparsePageSourceE NSt6thread10_Impl_baseE ? ??? ?7?5 _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ????????w SparsePage::Writer Finished writing to /home/travis/build/myui/build-xgboost-jvm/xgboost/src/data/sparse_page_writer.cc Check failed: name_shards.size() == format_shards.size() Check failed: *out_page == nullptr Check failed: qrecycle_.Pop(out_page) ( vs. vector::_M_emplace_back_aux *St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN7xgboost4data16SparsePageWriterC4ERKSt6vectorISsSaISsEESA_mEUlvE_vEEEESaISE_ELN9__gnu_cxx12_Lock_policyE2EE *NSt6thread5_ImplISt12_Bind_simpleIFZN7xgboost4data16SparsePageWriterC4ERKSt6vectorISsSaISsEES9_mEUlvE_vEEEE St15_Sp_counted_ptrIPN7xgboost10SparsePageELN9__gnu_cxx12_Lock_policyE2EE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : float int int (non-negative) long (non-negative) string Out of range value No conversion could be performed /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/parameter.h key has already been registered in : Invalid Input: ' ', valid values are: optional, default= , required Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' pos <= value.length() Some trailing characters could not be parsed: ' Invalid Parameter format for expect but value=' Out of range value for , value=' ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./data.h Check failed: impl_ != nullptr Number of features used in classification. num_feature Number of output groups in the setting. num_output_group /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/../../src/gbm/gblinear_model.h fi->Read(¶m, sizeof(param)) == sizeof(param) json { "bias": [ , ], "weight": [ ] } bias:
weight:
======== Monitor: ======== /home/travis/build/myui/build-xgboost-jvm/xgboost/src/gbm/../common/timer.h Timer for did not get stopped properly. s, calls @ us Update algorithm for linear model. One of shotgun/coord_descent shotgun updater Stop if largest weight update is smaller than this number. tolerance Maximum rows per batch. max_row_perbatch GBLinear DoBoost PredictBatch /home/travis/build/myui/build-xgboost-jvm/xgboost/src/gbm/gblinear.cc ntree_limit == 0U GBLinear::Predict ntrees is only valid for gbtree predictor gblinear does not support prediction of leaf index GBLinear::PredictContribution: ntrees is only valid for gbtree predictor PredictBatchInternal GBLinearModelParam GBLinearTrainParam ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./strtonum.h *p == ')' Invalid NAN literal infinity nan optional, default= map::at /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: 0 <= index_ && index_ != span_->size() Check failed: index_ < span_->size() vector::_M_emplace_back_aux vector::_M_default_append __ Cannot find argument ' ', Possible Arguments:
----------------
*N7xgboost3gbmUlRKSt6vectorISt10shared_ptrINS_7DMatrixEESaIS4_EEfE_E Linear booster, implement generalized linear model. gblinear Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to ??? ? ? ?? e??A??Y@?v?? ? ??L A N7xgboost3gbm8GBLinearE N4dmlc9parameter10FieldEntryImEE N4dmlc9parameter17FieldEntryNumericINS0_10FieldEntryImEEmEE N4dmlc9parameter14FieldEntryBaseINS0_10FieldEntryImEEmEE N4dmlc9parameter10FieldEntryIjEE N4dmlc9parameter17FieldEntryNumericINS0_10FieldEntryIjEEjEE N4dmlc9parameter14FieldEntryBaseINS0_10FieldEntryIjEEjEE N7xgboost15GradientBoosterE N4dmlc9parameter10FieldEntryIfEE N4dmlc9parameter17FieldEntryNumericINS0_10FieldEntryIfEEfEE N4dmlc9parameter14FieldEntryBaseINS0_10FieldEntryIfEEfEE N4dmlc9parameter10FieldEntryISsEE N4dmlc9parameter14FieldEntryBaseINS0_10FieldEntryISsEESsEE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/src/gbm/gbm.cc Unknown gbm type _Z + Stack trace:
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%02d:%02d:%02d [ ] : : float int string boolean Out of range value No conversion could be performed /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/parameter.h key has already been registered in has not been registered in Alias : Invalid Input: ' ', valid values are: optional, default= , required Enum ( exisit! )
Enums: ), Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' true false 1 0 Invalid Parameter format for expect but value=' pos <= value.length() Some trailing characters could not be parsed: ' Out of range value for , value=' ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./data.h Check failed: impl_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/tree_model.h fi->Read(¶m, sizeof(TreeParam)) == sizeof(TreeParam) param.num_nodes != 0 fi->Read(dmlc::BeginPtr(nodes_), sizeof(Node) * nodes_.size()) == sizeof(Node) * nodes_.size() fi->Read(dmlc::BeginPtr(stats_), sizeof(RTreeNodeStat) * stats_.size()) == sizeof(RTreeNodeStat) * stats_.size() static_cast(deleted_nodes_.size()) == param.num_deleted param.num_nodes == static_cast(nodes_.size()) param.num_nodes == static_cast(stats_.size()) Number of output groups to be predicted, used for multi-class classification. num_output_group Tree updater sequence. num_roots Number of features used for training and prediction. num_feature Reserved option for vector tree. size_leaf_vector /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/../../src/gbm/gbtree_model.h fi->Read(¶m, sizeof(param)) == sizeof(param) GBTree: invalid model file fi->Read(dmlc::BeginPtr(tree_info), sizeof(int) * param.num_trees) == sizeof(int) * param.num_trees param.num_trees == static_cast(trees.size()) ======== Monitor: ======== /home/travis/build/myui/build-xgboost-jvm/xgboost/src/gbm/../common/timer.h Timer for did not get stopped properly. s, calls @ us Number of parallel trees constructed during each iteration. This option is used to support boosted random forest. num_parallel_tree grow_colmaker,prune updater_seq Whether to run the normal boosting process that creates new trees, or to update the trees in an existing model. update default process_type updater Predictor algorithm type cpu_predictor predictor Different types of sampling algorithm. weighted uniform sample_type Different types of normalization algorithm. forest tree normalize_type Fraction of trees to drop during the dropout. rate_drop Whether at least one tree should always be dropped during the dropout. one_drop Probability of skipping the dropout during a boosting iteration. skip_drop Learning rate(step size) of update. learning_rate eta GBTree distcol BoostNewTrees /home/travis/build/myui/build-xgboost-jvm/xgboost/src/gbm/gbtree.cc in_gpair->Size() % ngroup == 0U must have exactly ngroup*nrow gpairs CommitModel model_.trees.size() < model_.trees_to_update.size() drop trees, weight = GBTreeModelParam GBTreeTrainParam DartTrainParam ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./strtonum.h *p == ')' Invalid NAN literal infinity nan optional, default= map::at /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: _idx >= 0 && _idx < size() out_preds->size() == n vector::_M_emplace_back_aux vector::_M_default_append __ Cannot find argument ' ', Possible Arguments:
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num_group == model_.param.num_output_group model_.param.size_leaf_vector == 0 size_leaf_vector is enforced to 0 so far preds.size() == p_fmat->Info().num_row_ * num_group vector::_M_fill_insert vector::reserve *N7xgboost3gbmUlRKSt6vectorISt10shared_ptrINS_7DMatrixEESaIS4_EEfE0_E *N7xgboost3gbmUlRKSt6vectorISt10shared_ptrINS_7DMatrixEESaIS4_EEfE_E Tree booster, gradient boosted trees. gbtree Tree booster, dart. dart Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to ? ? e??A ?????> ?C ????Y@?v?? ? ??L A ?? ??@ ? @ ?>@ N7xgboost3gbm4DartE N7xgboost3gbm6GBTreeE N4dmlc9parameter10FieldEntryIbEE N4dmlc9parameter14FieldEntryBaseINS0_10FieldEntryIbEEbEE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : float int int (non-negative) string boolean ? ??? ?7?5 Out of range value No conversion could be performed /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./parameter.h key has already been registered in : Invalid Input: ' ', valid values are: optional, default= , required Enum ( exisit! )
Enums: ), Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' true false 1 0 Invalid Parameter format for expect but value=' pos <= value.length() Some trailing characters could not be parsed: ' Out of range value for , value=' ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/src/./common/io.h Not implemented ======== Monitor: ======== /home/travis/build/myui/build-xgboost-jvm/xgboost/src/./common/timer.h Timer for did not get stopped properly. s, calls @ us 0.7 Global bias of the model. base_score Number of features in training data, this parameter will be automatically detected by learner. num_feature Number of class option for multi-class classifier. By default equals 0 and corresponds to binary classifier. num_class Random number seed during training. seed Seed PRNG determnisticly via iterator number, this option will be switched on automatically on distributed mode. seed_per_iteration Data split mode for distributed training. row col auto dsplit Choice of tree construction method. gpu_hist gpu_exact hist exact approx tree_method Internal test flag test_flag Number of threads to use. nthread flag to disable default metric. Set to >0 to disable disable_default_eval_metric LearnerModelParam LearnerTrainParam reg:squarederror gbtree /home/travis/build/myui/build-xgboost-jvm/xgboost/src/learner.cc XGBoost version not compiled with GPU support. booster dart updater DANGER AHEAD: You have manually specified `updater` parameter. The `tree_method` parameter will be ignored. Incorrect sequence of updaters will produce undefined behavior. For common uses, we recommend using `tree_method` parameter instead. grow_histmaker,prune grow_colmaker,prune Tree method is selected to be 'hist', which uses a single updater grow_quantile_histmaker. grow_quantile_histmaker grow_gpu,prune predictor gpu_predictor grow_gpu_hist Unknown tree_method ( ) detected Learner eval_metric num_output_group objective multi:softmax max_delta_step count:poisson bs64 header != "bs64" Base64 format is no longer supported in brick. binf fp.Read(&header[0], 4) == 4U fi->Read(&mparam_, sizeof(mparam_)) == sizeof(mparam_) BoostLearner: wrong model format fi->Read(&len, sizeof(len)) == sizeof(len) fi->Read(&gap, sizeof(gap)) == sizeof(gap) fi->Read(&name_obj_[0], len) == len Check failed: fi->Read(&name_gbm_) SAVED_PARAM_ Parameter 'predictor' will be set to 'cpu_predictor' since XGBoost wasn't compiled with GPU support. cpu_predictor count_poisson_max_delta_step n_gpus gpu_id UpdateOneIter Check failed: ModelInitialized() Always call InitModel or LoadModel before update PredictRaw GetGradient BoostOneIter Always call InitModel or LoadModel before boost. EvalOneIter Check failed: tparam_.dsplit != DataSplitMode::kAuto Precondition violated; dsplit cannot be 'auto' in distributed mode Column-wise data split is currently not supported. Tree method is automatically selected to be 'approx' for distributed training. Tree method was set to be ', but only 'approx' and 'hist' is available for distributed training. The `tree_method` parameter is now being changed to 'approx' Distributed training is not available with GPU algoritms Tree method is specified to be 'hist' for distributed training. Tree method is automatically set to 'approx' since external-memory data matrix is used. Tree method was set to be 'exact', but currently we are only able to proceed with approximate algorithm ('approx') because external-memory data matrix is used. External-memory data matrix is not available with GPU algorithms Tree method is automatically selected to be 'approx' for faster speed. To use old behavior (exact greedy algorithm on single machine), set tree_method to 'exact'. Check failed: matrix != nullptr num_col <= static_cast(std::numeric_limits::max()) Unfortunately, XGBoost does not support data matrices with features or greater mparam_.num_feature != 0 0 feature is supplied. Are you using raw Booster interface? Check failed: obj_ == nullptr && gbm_ == nullptr Check failed: gbm_ != nullptr Predict must happen after Load or InitModel Check failed: weights.size() == info.group_ptr_.size() - 1 weights size: groups size: num rows: Number of weights should be equal to number of groups in ranking task. ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/././strtonum.h *p == ')' Invalid NAN literal infinity nan optional, default= map::at vector::reserve vector::_M_emplace_back_aux __ Cannot find argument ' ', Possible Arguments:
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vector::_M_default_append *N4dmlc9parameter10FieldEntryIN12_GLOBAL__N_113DataSplitModeEEE *N4dmlc9parameter10FieldEntryIN12_GLOBAL__N_110TreeMethodEEE Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to ? ? e??A ???Y@?v?? ? ?? ??L AS`???W???W??}X???Y??[??????h???N???h???????????g???y??????y???é??é?? N7xgboost11LearnerImplE N7xgboost7LearnerE N4dmlc12SerializableE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : float int Out of range value No conversion could be performed /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./parameter.h key has already been registered in has not been registered in Alias Invalid Input: ' ', valid values are: optional, default= , required Enum ( exisit! )
Enums: ), Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' pos <= value.length() Some trailing characters could not be parsed: ' Invalid Parameter format for expect but value=' Out of range value for , value=' ? ??? ?7?5 ????????Learning rate of each update. learning_rate L2 regularization on weights. reg_lambda L1 regularization on weights. reg_alpha Feature selection or ordering method. random greedy thrifty shuffle cyclic feature_selector Number of devices to use. n_gpus Primary device ordinal. gpu_id eta lambda alpha /home/travis/build/myui/build-xgboost-jvm/xgboost/src/linear/linear_updater.cc Unknown linear updater LinearTrainParam ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/././strtonum.h *p == ')' Invalid NAN literal infinity nan optional, default= map::at vector::_M_emplace_back_aux Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to ? ? ???Y@?v?? ? ?? ??L A _Z + Stack trace:
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%02d:%02d:%02d [ ] : : int /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./parameter.h key has already been registered in : Invalid Input: ' ', valid values are: optional, default= , required Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/data.h Check failed: impl_ != nullptr ======== Monitor: ======== /home/travis/build/myui/build-xgboost-jvm/xgboost/src/linear/../common/timer.h Timer for did not get stopped properly. s, calls @ us The number of top features to select in 'thrifty' feature_selector. The value of zero means using all the features. top_k /home/travis/build/myui/build-xgboost-jvm/xgboost/src/linear/coordinate_common.h unknown coordinate selector: CoordinateParam CoordinateUpdater UpdateFeature ( vs. Invalid Parameter format for expect but value=' optional, default= map::at /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: _idx >= 0 && _idx < size() vector::_M_emplace_back_aux vector::_M_default_append __ Cannot find argument ' ', Possible Arguments:
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*N7xgboost6linearUlvE_E Update linear model according to coordinate descent algorithm. coord_descent Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to ??? e??A ????> ? ??????????? ???O??? N7xgboost6linear17CoordinateUpdaterE N7xgboost6linear22ThriftyFeatureSelectorE N7xgboost6linear21GreedyFeatureSelectorE N7xgboost6linear21RandomFeatureSelectorE N7xgboost6linear22ShuffleFeatureSelectorE N7xgboost6linear21CyclicFeatureSelectorE N7xgboost6linear15FeatureSelectorE N7xgboost13LinearUpdaterE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/data.h Check failed: impl_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/src/linear/coordinate_common.h unknown coordinate selector: /home/travis/build/myui/build-xgboost-jvm/xgboost/src/linear/updater_shotgun.cc Unsupported feature selector for shotgun updater.
Supported options are: {cyclic, shuffle} /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: _idx >= 0 && _idx < size() Check failed: 0 <= index_ && index_ != span_->size() Check failed: index_ < span_->size() vector::_M_default_append __ Cannot find argument ' ', Possible Arguments:
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vector::_M_emplace_back_aux *N7xgboost6linearUlvE_E Update linear model according to shotgun coordinate descent algorithm. shotgun ??? ????> ? N7xgboost6linear14ShotgunUpdaterE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : int boolean /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/parameter.h key has already been registered in has not been registered in Alias : Invalid Input: ' ', valid values are: optional, default= , required Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' true false 1 0 Invalid Parameter format for expect but value=' ? ??? ?7?5 Do not print information during training. silent Flag to print out detailed breakdown of runtime. verbosity debug_verbose ConsoleLoggerParam WARNING: DEBUG: INFO: z???2???????????7??? ( vs. optional, default= map::at vector::_M_emplace_back_aux __ Cannot find argument ' ', Possible Arguments:
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Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to _Z + Stack trace:
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%02d:%02d:%02d [ ] : : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/common.h Check failed: gpu_id >= 0 gpu_id must be >= 0. n_gpus >= -1 n_gpus must be >= -1. Check failed: gpu_id < n_devices_visible
gpu_id should be less than number of visible devices.
gpu_id: , number of visible devices: n_gpus <= n_available_devices Starting from gpu id: , there are only available devices, while n_gpus is set to: rmse mae logloss %f /home/travis/build/myui/build-xgboost-jvm/xgboost/src/metric/elementwise_metric.cu sscanf(param, "%f", &threshold_) == 1 unable to parse the threshold value for the error metric error poisson-nloglik gamma-deviance gamma-nloglik Check failed: param != nullptr tweedie-nloglik must be in format tweedie-nloglik@rho Check failed: rho_ < 2 && rho_ >= 1 tweedie variance power must be in interval [1, 2) tweedie-nloglik@ ( vs. vector::_M_emplace_back_aux *N7xgboost6metricUlPKcE6_E *N7xgboost6metricUlPKcE5_E *N7xgboost6metricUlPKcE4_E *N7xgboost6metricUlPKcE3_E *N7xgboost6metricUlPKcE2_E *N7xgboost6metricUlPKcE1_E *N7xgboost6metricUlPKcE0_E *N7xgboost6metricUlPKcE_E Rooted mean square error. Mean absolute error. Negative loglikelihood for logistic regression. Negative loglikelihood for poisson regression. Residual deviance for gamma regression. Negative log-likelihood for gamma regression. Binary classification error. tweedie-nloglik@rho for tweedie regression. tweedie-nloglik info.labels_.Size() != 0U label set cannot be empty preds.Size() == info.labels_.Size() label and prediction size not match, hint: use merror or mlogloss for multi-class classification __ Cannot find argument ' ', Possible Arguments:
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??? ???$ ?? ? ?_p?0 ?? ?? @ N7xgboost6metric13EvalEWiseBaseINS0_18EvalTweedieNLogLikEEE N7xgboost6metric13EvalEWiseBaseINS0_9EvalErrorEEE N7xgboost6metric13EvalEWiseBaseINS0_16EvalGammaNLogLikEEE N7xgboost6metric13EvalEWiseBaseINS0_17EvalGammaDevianceEEE N7xgboost6metric13EvalEWiseBaseINS0_20EvalPoissonNegLogLikEEE N7xgboost6metric13EvalEWiseBaseINS0_14EvalRowLogLossEEE N7xgboost6metric13EvalEWiseBaseINS0_10EvalRowMAEEEE N7xgboost6metric13EvalEWiseBaseINS0_11EvalRowRMSEEEE N7xgboost6MetricE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : int /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./parameter.h key has already been registered in Invalid Input: ' ', valid values are: optional, default= , required Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' ? ??? ?7?5 ????????Number of GPUs to use for multi-gpu algorithms. n_gpus gpu to use for objective function evaluation gpu_id /home/travis/build/myui/build-xgboost-jvm/xgboost/src/metric/metric.cc Unknown metric function MetricParam ( vs. Invalid Parameter format for expect but value=' optional, default= map::at vector::_M_emplace_back_aux Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to _Z + Stack trace:
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%02d:%02d:%02d [ ] : : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/common.h Check failed: gpu_id >= 0 gpu_id must be >= 0. n_gpus >= -1 n_gpus must be >= -1. Check failed: gpu_id < n_devices_visible
gpu_id should be less than number of visible devices.
gpu_id: , number of visible devices: n_gpus <= n_available_devices Starting from gpu id: , there are only available devices, while n_gpus is set to: merror mlogloss ( vs. vector::_M_emplace_back_aux *N7xgboost6metricUlPKcE0_E *N7xgboost6metricUlPKcE_E Multiclass classification error. Multiclass negative loglikelihood. /home/travis/build/myui/build-xgboost-jvm/xgboost/src/metric/multiclass_metric.cu info.labels_.Size() != 0U label set cannot be empty Check failed: preds.Size() % info.labels_.Size() == 0 label and prediction size not match nclass >= 1U mlogloss and merror are only used for multi-class classification, use logloss for binary classification __ Cannot find argument ' ', Possible Arguments:
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Check failed: label_error >= 0 && label_error < static_cast(n_class) MultiClassEvaluation: label must be in [0, num_class), num_class= but found in label ?????$ ? N7xgboost6metric16EvalMultiLogLossE N7xgboost6metric14EvalMClassBaseINS0_16EvalMultiLogLossEEE N7xgboost6metric14EvalMatchErrorE N7xgboost6metric14EvalMClassBaseINS0_14EvalMatchErrorEEE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/src/metric/rank_metric.cc Check failed: param != nullptr AMS must be in format ams@k ams@ Check failed: !distributed metric AMS do not support distributed evaluation best-ams-ratio= auc Check failed: preds.Size() == info.labels_.Size() label size predict size not match gptr.size() != 0U must specify group when constructing rank file gptr.back() == preds.Size() EvalRanklist: group structure must match number of prediction %u[-]? pre ndcg map Cox metric does not support distributed evaluation cox-nloglik aucpr ( vs. info.labels_.Size() != 0U label set cannot be empty gptr.back() == info.labels_.Size() EvalAuc: group structure must match number of prediction Check failed: !auc_error AUC: the dataset only contains pos or neg samples EvalAucPR: group structure must match number of prediction AUC-PR: error in calculation AUC-PR: the dataset only contains pos or neg samples dat[0] <= dat[1] AUC-PR: AUC > 1.0 sum_auc <= static_cast(ngroup) vector::_M_default_append vector::_M_emplace_back_aux *N7xgboost6metricUlPKcE5_E *N7xgboost6metricUlPKcE4_E *N7xgboost6metricUlPKcE3_E *N7xgboost6metricUlPKcE2_E *N7xgboost6metricUlPKcE1_E *N7xgboost6metricUlPKcE0_E *N7xgboost6metricUlPKcE_E AMS metric for higgs. ams Area under curve for both classification and rank. Area under PR curve for both classification and rank. precision@k for rank. ndcg@k for rank. map@k for rank. Negative log partial likelihood of Cox proportioanl hazards model. ??? ?? $@ ? ?? @ ??%??????????????????????h???????X??????????y?????i????? N7xgboost6metric9EvalAucPRE N7xgboost6metric7EvalCoxE N7xgboost6metric7EvalMAPE N7xgboost6metric8EvalNDCGE N7xgboost6metric13EvalPrecisionE N7xgboost6metric12EvalRankListE N7xgboost6metric7EvalAucE N7xgboost6metric7EvalAMSE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : int /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./parameter.h key has already been registered in : Invalid Input: ' ', valid values are: optional, default= , required Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/common.h gpu_id >= 0 gpu_id must be >= 0. n_gpus >= -1 n_gpus must be >= -1. Check failed: gpu_id < n_devices_visible
gpu_id should be less than number of visible devices.
gpu_id: , number of visible devices: n_gpus <= n_available_devices Starting from gpu id: , there are only available devices, while n_gpus is set to: Number of GPUs to use for multi-gpu algorithms. n_gpus gpu to use for objective function evaluation gpu_id /home/travis/build/myui/build-xgboost-jvm/xgboost/src/objective/hinge.cu info.labels_.Size() != 0U label set cannot be empty preds.Size() == info.labels_.Size() labels are not correctly provided preds.size= , label.size= error HingeObjParam ( vs. Invalid Parameter format for expect but value=' optional, default= map::at /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/span.h Check failed: _idx >= 0 && _idx < size() vector::_M_emplace_back_aux __ Cannot find argument ' ', Possible Arguments:
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/home/travis/build/myui/build-xgboost-jvm/xgboost/src/objective/../common/transform.h Not part of device code. WITH_CUDA: Check failed: _count >= 0 Check failed: _ptr || _count == 0 *N7xgboost3objUlvE_E Hinge loss. Expects labels to be in [0,1f] binary:hinge Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to ? ?? ?? ? N7xgboost3obj8HingeObjE N7xgboost11ObjFunctionE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : int /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./parameter.h key has already been registered in : Invalid Input: ' ', valid values are: optional, default= , required Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/../../src/common/common.h gpu_id >= 0 gpu_id must be >= 0. n_gpus >= -1 n_gpus must be >= -1. Check failed: gpu_id < n_devices_visible
gpu_id should be less than number of visible devices.
gpu_id: , number of visible devices: n_gpus <= n_available_devices Starting from gpu id: , there are only available devices, while n_gpus is set to: Number of output class in the multi-class classification. num_class Number of GPUs to use for multi-gpu algorithms. n_gpus gpu to use for objective function evaluation gpu_id /home/travis/build/myui/build-xgboost-jvm/xgboost/src/objective/multiclass_obj.cu info.labels_.Size() != 0U label set cannot be empty Check failed: preds.Size() == (static_cast(param_.num_class) * info.labels_.Size()) SoftmaxMultiClassObj: label size and pred size does not match SoftmaxMultiClassObj: label must be in [0, num_class). merror SoftmaxMultiClassParam ( vs. Invalid Parameter format for expect but value=' optional, default= map::at /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/../../src/common/span.h Check failed: _offset >= 0 && (_offset < size() || size() == 0) Check failed: (_count == dynamic_extent) || (_count >= 0 && _offset + _count <= size()) Check failed: 0 <= index_ && index_ != span_->size() Check failed: index_ < span_->size() Check failed: _idx >= 0 && _idx < size() Check failed: span_ == rhs.span_ vector::_M_emplace_back_aux __ Cannot find argument ' ', Possible Arguments:
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Check failed: _count >= 0 Check failed: _ptr || _count == 0 /home/travis/build/myui/build-xgboost-jvm/xgboost/src/objective/../common/transform.h Not part of device code. WITH_CUDA: Check failed: (index_ + n) >= 0 && (index_ + n) <= span_->size() *N7xgboost3objUlvE0_E *N7xgboost3objUlvE_E Softmax for multi-class classification, output class index. multi:softmax Softmax for multi-class classification, output probability distribution. multi:softprob Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to ? ?????$ N7xgboost3obj20SoftmaxMultiClassObjE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/src/objective/objective.cc Objective candidate: Unknown objective function _Z + Stack trace:
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%02d:%02d:%02d [ ] : : float int Out of range value No conversion could be performed /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/parameter.h key has already been registered in : Invalid Input: ' ', valid values are: optional, default= , required Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' pos <= value.length() Some trailing characters could not be parsed: ' Invalid Parameter format for expect but value=' Out of range value for , value=' ? ??? ?7?5 ????????Number of pair generated for each instance. num_pairsample Normalize the weight of each list by this value, if equals 0, no effect will happen fix_list_weight /home/travis/build/myui/build-xgboost-jvm/xgboost/src/objective/rank_obj.cc preds.Size() == info.labels_.Size() label size predict size not match Check failed: gptr.size() != 0 && gptr.back() == info.labels_.Size() group structure not consistent with #rows map LambdaRankParam ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./strtonum.h *p == ')' Invalid NAN literal infinity nan optional, default= map::at vector::_M_emplace_back_aux __ Cannot find argument ' ', Possible Arguments:
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vector::_M_default_append *N7xgboost3objUlvE1_E *N7xgboost3objUlvE0_E *N7xgboost3objUlvE_E Pairwise rank objective. rank:pairwise LambdaRank with NDCG as objective. rank:ndcg LambdaRank with MAP as objective. rank:map Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to ? ? ?? ? ???$ @??Y@?v?? ??L A N7xgboost3obj16LambdaRankObjMAPE N7xgboost3obj17LambdaRankObjNDCGE N7xgboost3obj15PairwiseRankObjE N7xgboost3obj13LambdaRankObjE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : float int Out of range value No conversion could be performed /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./parameter.h key has already been registered in : Invalid Input: ' ', valid values are: optional, default= , required Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' pos <= value.length() Some trailing characters could not be parsed: ' Invalid Parameter format for expect but value=' Out of range value for , value=' ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/common.h gpu_id >= 0 gpu_id must be >= 0. n_gpus >= -1 n_gpus must be >= -1. Check failed: gpu_id < n_devices_visible
gpu_id should be less than number of visible devices.
gpu_id: , number of visible devices: n_gpus <= n_available_devices Starting from gpu id: , there are only available devices, while n_gpus is set to: rmse /home/travis/build/myui/build-xgboost-jvm/xgboost/src/objective/./regression_loss.h Check failed: base_score > 0.0f && base_score < 1.0f base_score must be in (0,1) for logistic loss label must be in [0,1] for logistic regression error auc Scale the weight of positive examples by this factor scale_pos_weight Number of GPUs to use for multi-gpu algorithms. n_gpus gpu to use for objective function evaluation gpu_id RegLossParam /home/travis/build/myui/build-xgboost-jvm/xgboost/src/objective/regression_obj.cu reg:linear is now deprecated in favor of reg:squarederror. gpu:reg:linear is now deprecated, use reg:linear instead. gpu:reg:logistic is now deprecated, use reg:logistic instead. gpu:binary:logistic is now deprecated, use binary:logistic instead. gpu:binary:logitraw is now deprecated, use binary:logitraw instead. Maximum delta step we allow each weight estimation to be. This parameter is required for possion regression. max_delta_step info.labels_.Size() != 0U label set cannot be empty preds.Size() == info.labels_.Size() labels are not correctly provided PoissonRegression: label must be nonnegative poisson-nloglik PoissonRegressionParam Check failed: last_abs_y <= abs_y CoxRegression: labels must be in sorted order, MetaInfo::LabelArgsort failed! cox-nloglik GammaRegression: label must be nonnegative gamma-nloglik GammaRegressionParam Tweedie variance power. Must be between in range [1, 2). tweedie_variance_power TweedieRegression: label must be nonnegative tweedie-nloglik@ TweedieRegressionParam ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/././strtonum.h *p == ')' Invalid NAN literal infinity nan optional, default= map::at /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/span.h Check failed: _idx >= 0 && _idx < size() vector::_M_emplace_back_aux vector::_M_default_append __ Cannot find argument ' ', Possible Arguments:
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/home/travis/build/myui/build-xgboost-jvm/xgboost/src/objective/../common/transform.h Not part of device code. WITH_CUDA: vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu) Check failed: _count >= 0 Check failed: _ptr || _count == 0 *N7xgboost3objUlvE11_E *N7xgboost3objUlvE10_E *N7xgboost3objUlvE9_E *N7xgboost3objUlvE8_E *N7xgboost3objUlvE7_E *N7xgboost3objUlvE6_E *N7xgboost3objUlvE5_E *N7xgboost3objUlvE4_E *N7xgboost3objUlvE3_E *N7xgboost3objUlvE2_E *N7xgboost3objUlvE1_E *N7xgboost3objUlvE0_E *N7xgboost3objUlvE_E Regression with squared error. reg:squarederror Logistic regression for probability regression task. reg:logistic Logistic regression for binary classification task. binary:logistic Logistic regression for classification, output score before logistic transformation. binary:logitraw reg:linear Deprecated. Linear regression (computed on GPU). gpu:reg:linear Deprecated. Logistic regression for probability regression task (computed on GPU). gpu:reg:logistic Deprecated. Logistic regression for binary classification task (computed on GPU). gpu:binary:logistic Deprecated. Logistic regression for classification, output score before logistic transformation (computed on GPU) gpu:binary:logitraw Possion regression for count data. count:poisson Cox regression for censored survival data (negative labels are considered censored). survival:cox Gamma regression for severity data. reg:gamma Tweedie regression for insurance data. reg:tweedie preds.size= , label.size= Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to ??????? ??? ? ? ?? ? ???$333? ?? ?? @??Y@?v?? ??L A N7xgboost3obj17TweedieRegressionE N7xgboost3obj15GammaRegressionE N7xgboost3obj13CoxRegressionE N7xgboost3obj17PoissonRegressionE N7xgboost3obj10RegLossObjINS0_11LogisticRawEEE N7xgboost3obj10RegLossObjINS0_22LogisticClassificationEEE N7xgboost3obj10RegLossObjINS0_18LogisticRegressionEEE N7xgboost3obj10RegLossObjINS0_16LinearSquareLossEEE ? ??? ?7?5 _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/data.h Check failed: impl_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/src/predictor/cpu_predictor.cc Check failed: model.param.size_leaf_vector == 0 size_leaf_vector is enforced to 0 so far preds.size() == p_fmat->Info().num_row_ * num_group out_preds->Size() == n Warning: Ignoring the base margin, since it has incorrect length. The base margin must be an array of length [num_class] * [number of data points], i.e. * = . [number of data points], i.e. Instead, all data points will use base_score = ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: _idx >= 0 && _idx < size() vector::_M_default_append vector::_M_fill_insert vector::_M_emplace_back_aux *N7xgboost9predictorUlvE_E Make predictions using CPU. cpu_predictor @ ??N7xgboost9predictor12CPUPredictorE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/src/predictor/predictor.cc Unknown predictor type N7xgboost9PredictorE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : float int (non-negative) string Line , around ^` ` /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/././json.h Check failed: ch == '[' Error at , Expect '{' but get ' ch == ',' , JSON array expect ']' or ','. Get ' ' instead Out of range value No conversion could be performed /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./parameter.h key has already been registered in has not been registered in Alias : pos <= value.length() Some trailing characters could not be parsed: ' ' Invalid Parameter format for expect but value=' Out of range value for , value=' ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/split_evaluator.cc Unknown SplitEvaluator L2 regularization on leaf weight reg_lambda L1 regularization on leaf weight reg_alpha Maximum delta step we allow each tree's weight estimate to be. If the value is set to 0, it means there is no constraint max_delta_step lambda alpha ElasticNetParams ElasticNet does not accept an inner SplitEvaluator Constraint of variable monotonicity monotone_constraints MonotonicConstraintParams MonotonicConstraint must be given an inner evaluator Check failed: !std::isnan(mid) Check failed: nodeid < upper_.size() Constraints for interaction representing permitted interactions.The constraints must be specified in the form of a nest list,e.g. [[0, 1], [2, 3, 4]], where each inner list is a group ofindices of features that are allowed to interact with each other.See tutorial for more information interaction_constraints Number of total features used num_feature InteractionConstraintParams InteractionConstraint must be given an inner evaluator ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/././strtonum.h *p == ')' Invalid NAN literal infinity nan vector::_M_emplace_back_aux __ Cannot find argument ' ', Possible Arguments:
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vector::_M_range_check: __n (which is %zu) >= this->size() (which is %zu) vector::_M_default_append vector::_M_fill_insert vector::_M_insert_aux Check failed: !is_->fail() , Expect number *N7xgboost4treeUlSt10unique_ptrINS0_14SplitEvaluatorESt14default_deleteIS2_EEE1_E *N7xgboost4treeUlSt10unique_ptrINS0_14SplitEvaluatorESt14default_deleteIS2_EEE0_E *N7xgboost4treeUlSt10unique_ptrINS0_14SplitEvaluatorESt14default_deleteIS2_EEE_E Use an elastic net regulariser elastic_net Enforces that the tree is monotonically increasing/decreasing w.r.t. specified features monotonic Enforces interaction constraints on tree features interaction Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to optional, default= , required ??? ? ?? ? ? ??@ ?C ?? ? @??Y@?v?? ??L A N7xgboost4tree21InteractionConstraintE N7xgboost4tree19MonotonicConstraintE N7xgboost4tree10ElasticNetE N4dmlc9parameter10FieldEntryISt6vectorIiSaIiEEEE N4dmlc9parameter14FieldEntryBaseINS0_10FieldEntryISt6vectorIiSaIiEEEES5_EE N7xgboost4tree14SplitEvaluatorE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : float double int int (non-negative) string boolean Out of range value No conversion could be performed /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/parameter.h key has already been registered in has not been registered in Alias Invalid Input: ' ', valid values are: optional, default= , required Enum ( exisit! )
Enums: ), Check failed: enum_back_map_.count(value) != 0U Value not found in enum declared , ' true false 1 0 Invalid Parameter format for expect but value=' pos <= value.length() Some trailing characters could not be parsed: ' Out of range value for , value=' ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./feature_map.h idx < names_.size() FeatureMap feature index exceed bound Number of start root of trees. num_roots Number of features used in tree construction. num_feature Size of leaf vector, reserved for vector tree size_leaf_vector Learning rate(step size) of update. learning_rate Minimum loss reduction required to make a further partition. min_split_loss Maximum depth of the tree; 0 indicates no limit; a limit is required for depthwise policy max_depth Maximum number of leaves; 0 indicates no limit. max_leaves if using histogram-based algorithm, maximum number of bins per feature max_bin Tree growing policy. 0: favor splitting at nodes closest to the node, i.e. grow depth-wise. 1: favor splitting at nodes with highest loss change. (cf. LightGBM) lossguide depthwise grow_policy Minimum sum of instance weight(hessian) needed in a child. min_child_weight L2 regularization on leaf weight reg_lambda L1 regularization on leaf weight reg_alpha Default direction choice when encountering a missing value right left learn default_direction Maximum delta step we allow each tree's weight estimate to be. If the value is set to 0, it means there is no constraint max_delta_step Row subsample ratio of training instance. subsample Subsample ratio of columns, resample on each node (split). colsample_bynode Subsample ratio of columns, resample on each level. colsample_bylevel Subsample ratio of columns, resample on each tree construction. colsample_bytree EXP Param: speed optimization for dense column. opt_dense_col EXP Param: Sketch accuracy of approximate algorithm. sketch_eps EXP Param: Sketch accuracy related parameter of approximate algorithm. sketch_ratio Size of leaf vectors, reserved for vector trees Different types of parallelization algorithm. parallel_option EXP Param: Cache aware optimization. cache_opt Whether the refresh updater needs to update leaf values. refresh_leaf Constraint of variable monotonicity monotone_constraints gpu to use for single gpu algorithms gpu_id Number of GPUs to use for multi-gpu algorithms: -1=use all GPUs n_gpus The criteria to use for ranking splits elastic_net,monotonic,interaction split_evaluator percentage threshold for treating a feature as sparse sparse_threshold if >0, enable feature grouping to ameliorate work imbalance among worker threads enable_feature_grouping when grouping features, how many "conflicts" to allow.conflict is when an instance has nonzero values for two or more features.default is 0, meaning features should be strictly complementary. max_conflict_rate when grouping features, how much effort to expend to prevent singleton groups. We'll try to insert each feature into existing groups before creating a new group for that feature; to save time, only up to (max_search_group) of existing groups will be considered. If set to zero, ALL existing groups will be examined. max_search_group lambda alpha gamma eta TreeParam TrainParam json , { "nodeid": , "leaf": , "cover": } :leaf= ,cover= , "depth": , "split": " " , "yes": , "no": :[ ] yes= ,no= , "split_condition": , "missing": < ,missing= /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/tree_model.cc unknown fmap type , "split": :[f , "gain": ,gain= , "children": [ ]} this->node_mean_values_.size() > 0U unique_path[i].pweight == 0 Unique path must have zero weight ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./strtonum.h *p == ')' Invalid NAN literal infinity nan optional, default= map::at vector::_M_emplace_back_aux vector::_M_default_append Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to ? ? ? ????> ?????< @???????? ????Y@?v?? ? ??L AH?g?Y????????@ ? ?חA $@ N4dmlc9parameter10FieldEntryIdEE N4dmlc9parameter17FieldEntryNumericINS0_10FieldEntryIdEEdEE N4dmlc9parameter14FieldEntryBaseINS0_10FieldEntryIdEEdEE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/tree_updater.cc Unknown tree updater _Z + Stack trace:
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%02d:%02d:%02d [ ] : : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./data.h Check failed: impl_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./tree_model.h Check failed: node.IsLeaf() Check failed: param.num_nodes < std::numeric_limits::max() number of nodes in the tree exceed 2^31 /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/../common/random.h features.size() > 0 /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/updater_colmaker.cc tree.param.num_nodes == tree.param.num_roots ColMaker: can only grow new tree fmat.Info().num_row_ == position_.size() root_index[ridx] < (unsigned)tree.param.num_roots ridx < position_.size() ridx exceed bound ridx= pos= prune trees.size() == 1U DistColMaker: only support one tree at a time nid >= 0 Check failed: !tree[nid].IsLeaf() inconsistent reduce information ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: _idx >= 0 && _idx < size() vector::reserve vector::_M_default_append vector::_M_emplace_back_aux __ Cannot find argument ' ', Possible Arguments:
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vector::_M_fill_insert *N7xgboost4treeUlvE0_E *N7xgboost4treeUlvE_E Grow tree with parallelization over columns. grow_colmaker Distributed column split version of tree maker. distcol ??? ?? ??7?5 ? ?? ??@ ? @ ?>@ St23_Sp_counted_ptr_inplaceIN7xgboost16HostDeviceVectorIiEESaIS2_ELN9__gnu_cxx12_Lock_policyE2EE N7xgboost4tree12DistColMakerE N7xgboost4tree12DistColMaker7BuilderE N7xgboost4tree8ColMakerE N7xgboost4tree8ColMaker7BuilderE N7xgboost11TreeUpdaterE AssertError:%s
_Z + Stack trace:
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%02d:%02d:%02d [ ] : : read can not have position excceed buffer length write position exceed fixed buffer size ? ??? ?7?5 : ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./data.h Check failed: impl_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./tree_model.h Check failed: node.IsLeaf() Check failed: param.num_nodes < std::numeric_limits::max() number of nodes in the tree exceed 2^31 /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/././param.h ret > 0U /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/./updater_basemaker-inl.h fid * 2 < fminmax_.size() fid * 2 + 1 < fminmax_.size() FeatHelper fid exceed query bound tree.param.num_nodes == tree.param.num_roots TreeMaker: can only grow new tree root_index[i] < (unsigned)tree.param.num_roots root index exceed setting Check failed: tree[nid].IsLeaf() sketch->temp.size < max_size invalid maximum size max_size= , stemp.size INFO: rmax= , sum_total= , naxt_goal= , size= sketch->temp.size <= max_size Finalize: invalid maximum size, max_size= , stemp.size= /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/updater_histmaker.cc Check failed: param_.max_depth > 0 max_depth must be larger than 0 node2workindex_[nid] == static_cast(wid) istart != hist.size fv= , hist.size= hist[ ]= , hist.last= summary_array_.size() == sketchs_.size() offset == -2 this->wspace_.rptr.size() == (fset.size() + 1) * this->qexpand_.size() + 1 this->qexpand_.size() == 1U this->wspace_.rptr.back() == this->wspace_.cut.size() ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: _idx >= 0 && _idx < size() Check failed: 0 <= index_ && index_ != span_->size() Check failed: index_ < span_->size() vector::reserve /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/../common/quantile.h check quantile stats, nbig= , n= srcsize= , maxsize= , range= , chunk= Check failed: nbig < n quantile: too many large chunk vector::_M_default_append vector::_M_emplace_back_aux __ Cannot find argument ' ', Possible Arguments:
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Check failed: sa.size > 0 && sb.size > 0 mingap= , maxgap= , wgap= Check failed: size <= sa.size + sb.size bug in combine Check failed: n * limit_size >= maxn invalid init parameter Check failed: nlevel <= limit_size * eps ] rmin= , rmax= , wmin= , v= fi.Read(&this->size, sizeof(this->size)) == sizeof(this->size) fi.Read(this->data, this->size * sizeof(Entry)) == this->size * sizeof(Entry) vector::_M_fill_insert vector::_M_range_insert *N7xgboost4treeUlvE1_E *N7xgboost4treeUlvE0_E *N7xgboost4treeUlvE_E Tree constructor that uses approximate histogram construction. grow_local_histmaker Tree constructor that uses approximate global proposal of histogram construction. grow_global_histmaker Tree constructor that uses approximate global of histogram construction. grow_histmaker ?? ??????? ? ?? ? ????>?7?5 ??? ? o?: A ?C ?? ??@ ? @ ?>@ ZN7xgboost4tree11CQHistMaker10CreateHistERKSt6vectorINS_6detail20GradientPairInternalIfEESaIS5_EEPNS_7DMatrixERKS2_IjSaIjEERKNS_7RegTreeEEUlvE_ N7xgboost4tree23GlobalProposalHistMakerE N7xgboost4tree11CQHistMakerE N7xgboost4tree9HistMakerE N7xgboost4tree9BaseMakerE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./tree_model.h Check failed: nodes_[nodes_[rid].LeftChild() ].IsLeaf() Check failed: nodes_[nodes_[rid].RightChild()].IsLeaf() Check failed: nid >= param.num_roots sync /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/updater_prune.cc tree pruning end, roots, extra nodes, pruned nodes, max_depth= ( vs. vector::_M_emplace_back_aux __ Cannot find argument ' ', Possible Arguments:
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*N7xgboost4treeUlvE_E Pruner that prune the tree according to statistics. prune N7xgboost4tree10TreePrunerE _Z + Stack trace:
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%02d:%02d:%02d [ ] : : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./tree_model.h Check failed: node.IsLeaf() Check failed: param.num_nodes < std::numeric_limits::max() number of nodes in the tree exceed 2^31 /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/./../common/random.h features.size() > 0 ======== Monitor: ======== /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/./../common/timer.h Timer for did not get stopped properly. s, calls @ us /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/./../common/row_set.h Check failed: e.begin != nullptr access element that is not in the set elem_of_each_node_.size() == 0U /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/./../common/hist_util.h row_ptr_[nid] != kMax row_ptr_[nid] == kMax /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/./../common/column_matrix.h gmat.cut.row_ptr[fid + 1] - gmat.cut.row_ptr[fid] <= max_val Quantile::Builder BuildHist SubtractionTrick prune /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/updater_quantile_hist.cc Generating gmat: sec SyncHistograms BuildLocalHistograms BuildNodeStats Update out_preds.size() > 0U Check failed: (*p_last_tree_)[nid].IsLeaf() tree.param.num_nodes == tree.param.num_roots ColMakerHist: can only grow new tree Check failed: (param_.max_depth > 0 || param_.max_leaves > 0) max_depth or max_leaves cannot be both 0 (unlimited); at least one should be a positive quantity. Check failed: param_.max_depth > 0 max_depth cannot be 0 (unlimited) when grow_policy is depthwise. InitData info.root_index_.size() == 0U min_nbins_per_feature > 0U EvaluateSplit ApplySplit upper_bound < static_cast(std::numeric_limits::max()) InitNewNode Check failed: d_step == +1 || d_step == -1 cut_ptr[fid] <= static_cast(std::numeric_limits::max()) cut_ptr[fid + 1] <= static_cast(std::numeric_limits::max()) grow_fast_histmaker is deprecated, use grow_quantile_histmaker instead. ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 vector::reserve Check failed: _idx >= 0 && _idx < size() vector::_M_default_append vector::_M_emplace_back_aux __ Cannot find argument ' ', Possible Arguments:
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vector::_M_fill_insert *N7xgboost4treeUlvE0_E *N7xgboost4treeUlvE_E (Deprecated, use grow_quantile_histmaker instead.) Grow tree using quantized histogram. grow_fast_histmaker Grow tree using quantized histogram. grow_quantile_histmaker ? e??A ???7?5 ?? ??@ ? @ ?>@ PFbN7xgboost4tree17QuantileHistMaker7Builder11ExpandEntryES3_E N7xgboost4tree17QuantileHistMakerE N7xgboost4tree17QuantileHistMaker7BuilderE FbN7xgboost4tree17QuantileHistMaker7Builder11ExpandEntryES3_E _Z + Stack trace:
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%02d:%02d:%02d [ ] : : : ? ??? ?7?5 ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./data.h Check failed: impl_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/updater_refresh.cc Check failed: batch.Size() < std::numeric_limits::max() /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: _idx >= 0 && _idx < size() ( vs. vector::_M_default_append __ Cannot find argument ' ', Possible Arguments:
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vector::_M_fill_insert vector::_M_emplace_back_aux *N7xgboost4treeUlvE_E Refresher that refreshes the weight and statistics according to data. refresh ??????? ? ? ZN7xgboost4tree13TreeRefresher6UpdateEPNS_16HostDeviceVectorINS_6detail20GradientPairInternalIfEEEEPNS_7DMatrixERKSt6vectorIPNS_7RegTreeESaISC_EEEUlvE_ N7xgboost4tree13TreeRefresherE AssertError:%s
_Z + Stack trace:
[bt] ( )
%02d:%02d:%02d [ ] : : read can not have position excceed buffer length write position exceed fixed buffer size ? ??? ?7?5 : ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./data.h Check failed: impl_ != nullptr /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./tree_model.h Check failed: node.IsLeaf() Check failed: param.num_nodes < std::numeric_limits::max() number of nodes in the tree exceed 2^31 /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/././param.h ret > 0U /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/./updater_basemaker-inl.h tree.param.num_nodes == tree.param.num_roots TreeMaker: can only grow new tree root_index[i] < (unsigned)tree.param.num_roots root index exceed setting sketch->temp.size < max_size invalid maximum size max_size= , stemp.size INFO: rmax= , sum_total= , naxt_goal= , size= sketch->temp.size <= max_size Finalize: invalid maximum size, max_size= , stemp.size= /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/updater_skmaker.cc qexpand_.size() != 0U node2workindex_[nid] == static_cast(wid) ( vs. /home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./../../src/common/span.h Check failed: _count >= 0 Check failed: _ptr || _count == 0 Check failed: _idx >= 0 && _idx < size() Check failed: 0 <= index_ && index_ != span_->size() Check failed: index_ < span_->size() vector::reserve /home/travis/build/myui/build-xgboost-jvm/xgboost/src/tree/../common/quantile.h check quantile stats, nbig= , n= srcsize= , maxsize= , range= , chunk= Check failed: nbig < n quantile: too many large chunk vector::_M_default_append vector::_M_emplace_back_aux __ Cannot find argument ' ', Possible Arguments:
----------------
Check failed: sa.size > 0 && sb.size > 0 mingap= , maxgap= , wgap= Check failed: size <= sa.size + sb.size bug in combine Check failed: n * limit_size >= maxn invalid init parameter Check failed: nlevel <= limit_size * eps ] rmin= , rmax= , wmin= , v= fi.Read(&this->size, sizeof(this->size)) == sizeof(this->size) fi.Read(this->data, this->size * sizeof(Entry)) == this->size * sizeof(Entry) vector::_M_fill_insert *N7xgboost4treeUlvE_E Approximate sketching maker. grow_skmaker ??????? ??? ?? ? ????> ? ?7?5 ? ? o?: A ?C ?? ??@ ? @ ?>@ N7xgboost4tree11SketchMakerE _Z + Stack trace:
[bt] ( )
%02d:%02d:%02d [ ] : : ? ??? ?7?5 AssertError:%s
read can not have position excceed buffer length ????????/home/travis/build/myui/build-xgboost-jvm/xgboost/include/xgboost/./tree_model.h Check failed: fi->Read(¶m, sizeof(TreeParam)) == sizeof(TreeParam) param.num_nodes != 0 fi->Read(dmlc::BeginPtr(nodes_), sizeof(Node) * nodes_.size()) == sizeof(Node) * nodes_.size() fi->Read(dmlc::BeginPtr(stats_), sizeof(RTreeNodeStat) * stats_.size()) == sizeof(RTreeNodeStat) * stats_.size() static_cast(deleted_nodes_.size()) == param.num_deleted param.num_nodes == static_cast(nodes_.size()) param.num_nodes == static_cast(stats_.size()) ( vs. vector::_M_default_append vector::_M_emplace_back_aux *N7xgboost4treeUlvE_E Syncher that synchronize the tree in all distributed nodes. sync N7xgboost4tree11TreeSyncherE Required parameter of is not presented value for Parameter exceed bound [ should be greater equal to should be smaller equal to Invalid Parameter format for expect but value=' Stack trace:
_Z + [bt] ( ) %02d:%02d:%02d cannot call ParseNext optional, default= , required : , Invalid Input: ' ', valid values are: vs. Check failed: map::at *p == ')' Invalid NAN literal sign == true .split .part name_cache.size() == 1U Invalid uri argument format for key in arg for value in arg name_args.size() == 1U auto libsvm Unknown data type key File format indexing_mode LibSVMParserParam libfm LibFMParserParam File format. csv label_column delimiter weight_column CSVParserParam offset.back() == index.size() vector::_M_default_append __ Cannot find argument ' ', Possible Arguments:
----------------
param_.format == "libsvm" param_.format == "libfm" param_.format == "csv" text vector::_M_range_insert Bad RowBlock format Check failed: fi->Read(&qid) MB read, finish reading at finish reading at %g MB/sec Check failed: TryLoadCache() failed to build cache file qid: Delimiter ' ' is not found in the line. Expected ' chunk.size != 0U /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/threadediter.h Check failed: out_data_ != NULL Calling Value at beginning or end? /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/data/parser.h /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/././parameter.h enum_back_map_.count(value) != 0U Value not found in enum declared /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/./././strtonum.h Check failed: base <= 10 && base >= 2 /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/io/uri_spec.h only one `#` is allowed in file path for cachefile specification Check failed: std::getline(is, kv.first, '=') Check failed: std::getline(is, kv.second) /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/data.cc has already been registered in If >0, treat all feature indices as 1-based. If =0, treat all feature indices as 0-based. If <0, use heuristic to automatically detect mode of indexing. See https://en.wikipedia.org/wiki/Array_data_type#Index_origin for more details on indexing modes. If >0, treat all field and feature indices as 1-based. If =0, treat all field and feature indices as 0-based. If <0, use heuristic to automatically detect mode of indexing. See https://en.wikipedia.org/wiki/Array_data_type#Index_origin for more details on indexing modes. Column index (0-based) that will put into label. Delimiter used in the csv file. Column index that will put into instance weights. /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/data/./row_block.h label.size() + 1 == offset.size() Check failed: offset.back() == value.size() || value.size() == 0 /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/data/./libsvm_parser.h /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/data/libfm_parser.h /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/data/csv_parser.h Check failed: param_.label_column != param_.weight_column || param_.label_column < 0 Must have distinct columns for labels and instance weights Check failed: fi->Read(&label) Check failed: fi->Read(&weight) Check failed: fi->Read(&field) Check failed: fi->Read(&index) Check failed: fi->Read(&value) Check failed: fi->Read(&max_field, sizeof(IndexType)) Check failed: fi->Read(&max_index, sizeof(IndexType)) batch.field[i] <= std::numeric_limits::max() field exceed numeric bound of current type batch.index[i] <= std::numeric_limits::max() index exceed numeric bound of current type Check failed: !producer_sig_processed_ Check failed: producer_sig_ == kProduce Make sure you call BeforeFirst not inconcurrent with Next! Check failed: produce_end_.load(std::memory_order_acquire) /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/data/basic_row_iter.h /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/data/disk_row_iter.h Check failed: out->field.size() == out->index.size() Check failed: out->label.size() + 1 == out->offset.size() ' as the delimiter to separate fields. Check failed: out->weight.size() == 0 || out->weight.size() + 1 == out->offset.size() /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/data/././text_parser.h NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseImlE8FillDataEPSt6vectorINS3_17RowBlockContainerImlEESaIS8_EEEUlvE_vEEEE NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseIjlE8FillDataEPSt6vectorINS3_17RowBlockContainerIjlEESaIS8_EEEUlvE_vEEEE NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseImiE8FillDataEPSt6vectorINS3_17RowBlockContainerImiEESaIS8_EEEUlvE_vEEEE NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseIjiE8FillDataEPSt6vectorINS3_17RowBlockContainerIjiEESaIS8_EEEUlvE_vEEEE NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseImfE8FillDataEPSt6vectorINS3_17RowBlockContainerImfEESaIS8_EEEUlvE_vEEEE NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseIjfE8FillDataEPSt6vectorINS3_17RowBlockContainerIjfEESaIS8_EEEUlvE_vEEEE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseImlE8FillDataEPSt6vectorINS4_17RowBlockContainerImlEESaIS9_EEEUlvE_vEEEESaISG_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseIjlE8FillDataEPSt6vectorINS4_17RowBlockContainerIjlEESaIS9_EEEUlvE_vEEEESaISG_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseImiE8FillDataEPSt6vectorINS4_17RowBlockContainerImiEESaIS9_EEEUlvE_vEEEESaISG_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseIjiE8FillDataEPSt6vectorINS4_17RowBlockContainerIjiEESaIS9_EEEUlvE_vEEEESaISG_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseImfE8FillDataEPSt6vectorINS4_17RowBlockContainerImfEESaIS9_EEEUlvE_vEEEESaISG_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc4data14TextParserBaseIjfE8FillDataEPSt6vectorINS4_17RowBlockContainerIjfEESaIS9_EEEUlvE_vEEEESaISG_ELN9__gnu_cxx12_Lock_policyE2EE N4dmlc12RowBlockIterIjfEE N4dmlc8DataIterINS_8RowBlockImfEEEE N4dmlc12RowBlockIterImfEE N4dmlc8DataIterINS_8RowBlockIjiEEEE N4dmlc12RowBlockIterIjiEE N4dmlc8DataIterINS_8RowBlockImiEEEE N4dmlc12RowBlockIterImiEE N4dmlc8DataIterINS_8RowBlockIjlEEEE N4dmlc12RowBlockIterIjlEE N4dmlc8DataIterINS_8RowBlockImlEEEE N4dmlc12RowBlockIterImlEE N4dmlc6ParserImfEE N4dmlc6ParserIjiEE N4dmlc6ParserImiEE N4dmlc6ParserIjlEE N4dmlc6ParserImlEE N4dmlc8DataIterINS_4data17RowBlockContainerIjfEEEE N4dmlc12ThreadedIterINS_4data17RowBlockContainerIjfEEEE N4dmlc4data11DiskRowIterIjfEE N4dmlc4data12BasicRowIterIjfEE N4dmlc8DataIterINS_4data17RowBlockContainerImfEEEE N4dmlc12ThreadedIterINS_4data17RowBlockContainerImfEEEE N4dmlc4data11DiskRowIterImfEE N4dmlc4data12BasicRowIterImfEE N4dmlc8DataIterINS_4data17RowBlockContainerIjiEEEE N4dmlc12ThreadedIterINS_4data17RowBlockContainerIjiEEEE N4dmlc4data11DiskRowIterIjiEE N4dmlc4data12BasicRowIterIjiEE N4dmlc8DataIterINS_4data17RowBlockContainerImiEEEE N4dmlc12ThreadedIterINS_4data17RowBlockContainerImiEEEE N4dmlc4data11DiskRowIterImiEE N4dmlc4data12BasicRowIterImiEE N4dmlc8DataIterINS_4data17RowBlockContainerIjlEEEE N4dmlc12ThreadedIterINS_4data17RowBlockContainerIjlEEEE N4dmlc4data11DiskRowIterIjlEE N4dmlc4data12BasicRowIterIjlEE N4dmlc8DataIterINS_4data17RowBlockContainerImlEEEE N4dmlc12ThreadedIterINS_4data17RowBlockContainerImlEEEE N4dmlc4data11DiskRowIterImlEE N4dmlc4data12BasicRowIterImlEE N4dmlc4data10ParserImplIjfEE N4dmlc4data14TextParserBaseIjfEE N4dmlc4data12LibSVMParserIjfEE N4dmlc8DataIterISt6vectorINS_4data17RowBlockContainerIjfEESaIS4_EEEE N4dmlc12ThreadedIterISt6vectorINS_4data17RowBlockContainerIjfEESaIS4_EEEE N4dmlc4data14ThreadedParserIjfEE N4dmlc4data10ParserImplImfEE N4dmlc4data14TextParserBaseImfEE N4dmlc4data12LibSVMParserImfEE N4dmlc8DataIterISt6vectorINS_4data17RowBlockContainerImfEESaIS4_EEEE N4dmlc12ThreadedIterISt6vectorINS_4data17RowBlockContainerImfEESaIS4_EEEE N4dmlc4data14ThreadedParserImfEE N4dmlc4data11LibFMParserIjfEE N4dmlc4data11LibFMParserImfEE N4dmlc4data9CSVParserIjfEE N4dmlc4data9CSVParserImfEE N4dmlc4data10ParserImplIjiEE N4dmlc4data14TextParserBaseIjiEE N4dmlc4data9CSVParserIjiEE N4dmlc4data10ParserImplImiEE N4dmlc4data14TextParserBaseImiEE N4dmlc4data9CSVParserImiEE N4dmlc4data10ParserImplIjlEE N4dmlc4data14TextParserBaseIjlEE N4dmlc4data9CSVParserIjlEE N4dmlc4data10ParserImplImlEE N4dmlc4data14TextParserBaseImlEE N4dmlc4data9CSVParserImlEE ZN4dmlc4data14ThreadedParserIjfEC4EPNS0_10ParserImplIjfEEEUlPPSt6vectorINS0_17RowBlockContainerIjfEESaIS8_EEE_ ZN4dmlc4data14ThreadedParserIjfEC4EPNS0_10ParserImplIjfEEEUlvE0_ NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterISt6vectorINS2_4data17RowBlockContainerIjfEESaIS7_EEE4InitESt8functionIFbPPS9_EESB_IFvvEEEUlvE_vEEEE ZN4dmlc4data14ThreadedParserImfEC4EPNS0_10ParserImplImfEEEUlPPSt6vectorINS0_17RowBlockContainerImfEESaIS8_EEE_ ZN4dmlc4data14ThreadedParserImfEC4EPNS0_10ParserImplImfEEEUlvE0_ NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterISt6vectorINS2_4data17RowBlockContainerImfEESaIS7_EEE4InitESt8functionIFbPPS9_EESB_IFvvEEEUlvE_vEEEE ZN4dmlc4data11DiskRowIterIjfE12TryLoadCacheEvEUlPPNS0_17RowBlockContainerIjfEEE_ ZN4dmlc4data11DiskRowIterIjfE12TryLoadCacheEvEUlvE0_ NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS2_4data17RowBlockContainerIjfEEE4InitESt8functionIFbPPS6_EES8_IFvvEEEUlvE_vEEEE ZN4dmlc4data11DiskRowIterImfE12TryLoadCacheEvEUlPPNS0_17RowBlockContainerImfEEE_ ZN4dmlc4data11DiskRowIterImfE12TryLoadCacheEvEUlvE0_ NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS2_4data17RowBlockContainerImfEEE4InitESt8functionIFbPPS6_EES8_IFvvEEEUlvE_vEEEE ZN4dmlc4data11DiskRowIterIjiE12TryLoadCacheEvEUlPPNS0_17RowBlockContainerIjiEEE_ ZN4dmlc4data11DiskRowIterIjiE12TryLoadCacheEvEUlvE0_ NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS2_4data17RowBlockContainerIjiEEE4InitESt8functionIFbPPS6_EES8_IFvvEEEUlvE_vEEEE ZN4dmlc4data11DiskRowIterImiE12TryLoadCacheEvEUlPPNS0_17RowBlockContainerImiEEE_ ZN4dmlc4data11DiskRowIterImiE12TryLoadCacheEvEUlvE0_ NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS2_4data17RowBlockContainerImiEEE4InitESt8functionIFbPPS6_EES8_IFvvEEEUlvE_vEEEE ZN4dmlc4data11DiskRowIterIjlE12TryLoadCacheEvEUlPPNS0_17RowBlockContainerIjlEEE_ ZN4dmlc4data11DiskRowIterIjlE12TryLoadCacheEvEUlvE0_ NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS2_4data17RowBlockContainerIjlEEE4InitESt8functionIFbPPS6_EES8_IFvvEEEUlvE_vEEEE ZN4dmlc4data11DiskRowIterImlE12TryLoadCacheEvEUlPPNS0_17RowBlockContainerImlEEE_ ZN4dmlc4data11DiskRowIterImlE12TryLoadCacheEvEUlvE0_ NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS2_4data17RowBlockContainerImlEEE4InitESt8functionIFbPPS6_EES8_IFvvEEEUlvE_vEEEE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterISt6vectorINS3_4data17RowBlockContainerIjfEESaIS8_EEE4InitESt8functionIFbPPSA_EESC_IFvvEEEUlvE_vEEEESaISM_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterISt6vectorINS3_4data17RowBlockContainerImfEESaIS8_EEE4InitESt8functionIFbPPSA_EESC_IFvvEEEUlvE_vEEEESaISM_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS3_4data17RowBlockContainerIjfEEE4InitESt8functionIFbPPS7_EES9_IFvvEEEUlvE_vEEEESaISJ_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS3_4data17RowBlockContainerImfEEE4InitESt8functionIFbPPS7_EES9_IFvvEEEUlvE_vEEEESaISJ_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS3_4data17RowBlockContainerIjiEEE4InitESt8functionIFbPPS7_EES9_IFvvEEEUlvE_vEEEESaISJ_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS3_4data17RowBlockContainerImiEEE4InitESt8functionIFbPPS7_EES9_IFvvEEEUlvE_vEEEESaISJ_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS3_4data17RowBlockContainerIjlEEE4InitESt8functionIFbPPS7_EES9_IFvvEEEUlvE_vEEEESaISJ_ELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS3_4data17RowBlockContainerImlEEE4InitESt8functionIFbPPS7_EES9_IFvvEEEUlvE_vEEEESaISJ_ELN9__gnu_cxx12_Lock_policyE2EE ?? ?? ? ??v????Y@ ??L A ? e??Afile:// viewfs:// s3:// http:// https:// azure:// unknown filesystem protocol hdfs:// BeforeFirst is not supported stdin Check failed: fp_ != NULL Check failed: part < nsplit indexed_recordio unknown input split type rb basic_string::_S_construct null not valid /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/io.cc Please compile with DMLC_USE_AZURE=1 to use Azure Please compile with DMLC_USE_HDFS=1 to use hdfs Please compile with DMLC_USE_S3=1 to use S3 /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/io/single_file_split.h Check failed: part_index == 0 && num_parts == 1 /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/io/cached_input_split.h Check failed: nread == sizeof(size) has invalid cache file format Check failed: fi_->Read(p->begin, size) == size ResetPartition is not supported in CachedInputSplit InputSplit do not support write SingleFileSplit: fail to open invalid input parameter for InputSplit::Create need to pass index file to use IndexedRecordIO Failed to initialize CachedIter Check failed: this->InitCachedIter() FvvE N4dmlc10InputSplitE N4dmlc2io15SingleFileSplitE N4dmlc8DataIterINS_2io14InputSplitBase5ChunkEEE N4dmlc12ThreadedIterINS_2io14InputSplitBase5ChunkEEE N4dmlc2io16CachedInputSplitE N4dmlc2io18ThreadedInputSplitE ZN4dmlc2io16CachedInputSplit15InitPreprocIterEvEUlPPNS0_14InputSplitBase5ChunkEE_ PFvvE NSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS2_2io14InputSplitBase5ChunkEE4InitESt8functionIFbPPS6_EES8_IFvvEEEUlvE_vEEEE ZN4dmlc2io16CachedInputSplit14InitCachedIterEvEUlPPNS0_14InputSplitBase5ChunkEE_ ZN4dmlc2io16CachedInputSplit14InitCachedIterEvEUlvE0_ ZN4dmlc2io18ThreadedInputSplitC4EPNS0_14InputSplitBaseEmEUlPPNS2_5ChunkEE_ ZN4dmlc2io18ThreadedInputSplitC4EPNS0_14InputSplitBaseEmEUlvE0_ St23_Sp_counted_ptr_inplaceINSt6thread5_ImplISt12_Bind_simpleIFZN4dmlc12ThreadedIterINS3_2io14InputSplitBase5ChunkEE4InitESt8functionIFbPPS7_EES9_IFvvEEEUlvE_vEEEESaISJ_ELN9__gnu_cxx12_Lock_policyE2EE Check failed: begin != end /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/io/line_split.cc N4dmlc2io12LineSplitterE invalid record io format Check failed: p >= pbegin + 2 Invalid RecordIO Format Check failed: cflag == 1U /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/io/recordio_split.cc Check failed: fi->Read(&lrec, sizeof(lrec)) != 0 (reinterpret_cast(begin) & 3UL) == 0U (reinterpret_cast(end) & 3UL) == 0U Check failed: chunk->begin + 2 * sizeof(uint32_t) <= chunk->end (reinterpret_cast(chunk->begin) & 3UL) == 0U (reinterpret_cast(chunk->end) & 3UL) == 0U Check failed: chunk->begin <= chunk->end Check failed: p[0] == RecordIOWriter::kMagic N4dmlc2io16RecordIOSplitterE expanded_list.size() == 1ul /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/io/indexed_recordio_split.cc IndexedRecordIOSplitter does not support multiple index files N4dmlc2io23IndexedRecordIOSplitterE curr= ,begin= ,end= ,fileptr= ,fileoffset= offset[ ]= vector::_M_emplace_back_aux ^$\.*+?()[]{}| .[\*^$ .[\()*+?{|^$ .[\*^$
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bad regex files_.size() != 0U file do not align by bytes NUL SOH STX ETX EOT ENQ ACK alert backspace newline vertical-tab form-feed carriage-return SO SI DLE DC1 DC2 DC3 DC4 NAK SYN ETB CAN EM SUB ESC IS4 IS3 IS2 IS1 exclamation-mark quotation-mark number-sign dollar-sign percent-sign ampersand apostrophe left-parenthesis right-parenthesis asterisk plus-sign comma hyphen period zero one two three four five six seven eight nine semicolon less-than-sign equals-sign greater-than-sign question-mark commercial-at A D G J P W left-square-bracket backslash right-square-bracket circumflex underscore grave-accent j left-curly-bracket vertical-line right-curly-bracket tilde DEL alnum alpha blank cntrl graph lower print punct upper xdigit /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/io/input_split_base.cc Check failed: offset_end_ >file_offset_[file_ptr_end_] Check failed: file_ptr_end_ < files_.size() file offset not calculated correctly This could due to compiler version, g++-4.9 is needed Cannot find any files that matches the URI pattern Check failed: files_[i].size % align_bytes == 0 ?(??)??H)???)???*??(,??H,???*??P+???+???(???+???(?? N4dmlc2io14InputSplitBaseE St23_Sp_counted_ptr_inplaceINSt8__detail4_NFAISt12regex_traitsIcEEESaIS4_ELN9__gnu_cxx12_Lock_policyE2EE NSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb0ELb0EEE NSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb0ELb1EEE NSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb1ELb0EEE NSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb1ELb1EEE NSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb0ELb0EEE NSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb0ELb1EEE NSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb1ELb0EEE NSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb1ELb1EEE NSt8__detail12_CharMatcherISt12regex_traitsIcELb0ELb0EEE NSt8__detail12_CharMatcherISt12regex_traitsIcELb0ELb1EEE NSt8__detail12_CharMatcherISt12regex_traitsIcELb1ELb0EEE NSt8__detail12_CharMatcherISt12regex_traitsIcELb1ELb1EEE NSt8__detail15_BracketMatcherISt12regex_traitsIcELb0ELb0EEE NSt8__detail15_BracketMatcherISt12regex_traitsIcELb0ELb1EEE NSt8__detail15_BracketMatcherISt12regex_traitsIcELb1ELb0EEE NSt8__detail15_BracketMatcherISt12regex_traitsIcELb1ELb1EEE w FileStream.Write incomplete stdout wb Check failed: allow_null LocalFileSystem::Open " ": error: LocalFileSystem.GetPathInfo: /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/io/local_filesys.cc Check failed: std::fwrite(ptr, 1, size, fp_) == size Check failed: !std::fseek(fp_, static_cast(pos), SEEK_SET) LocalFileSystem.GetPathInfo: detected symlink LocalFileSystem.ListDirectory N4dmlc2io15LocalFileSystemE N4dmlc2io10FileStreamE lstat(path.c_str(), &sb) == 0 Couldn't remove file ~TemporaryDirectory(): /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/include/dmlc/filesystem.h dmlc::TemporaryDirectory::IsSymlink(): Unable to read file attributes /home/travis/build/myui/build-xgboost-jvm/xgboost/dmlc-core/src/io/filesys.cc Check failed: !IsSymlink(info.path.name) Symlink not supported in TemporaryDirectory ; you may want to remove it manually Successfully deleted temporary directory Could not remove temporary directory N4dmlc2io10FileSystemE AssertError:%s
%s
???? rabit::Finalize engine is not initialized or already been finalized. the rabit has not been initialized cannot initialize reduce handle twice must intialize handle to call AllReduce vector::_M_emplace_back_aux N5rabit6engine7IEngineE AssertError:%s
%s
unknown enum_op Read pickle string not implemented unknown data_type DataType does not support bitwise or operation ]j??zj???j???j???j???j??k?? k??sk???k???k???k???k???k??l??2l???l???l???l???l???l??m??.m??Hm???m???m???m???m??n??*n??Dn??^n??N5rabit5c_api12WriteWrapperE N5rabit5c_api11ReadWrapperE AssertError:%s
%s
%s ????fail to get host name cannot obtain address of %s Does not support IPv6 SetNonBlock-1 SetNonBlock-2 0.0.0.0 TryBindHost GetSockError Socket::Close double close the socket or close without create Socket %s Error:%s SetKeepAlive SO_LINGER Create Accept SendAll RecvAll error during send SendStr error during send RecvStr Poll NULL Allreduce failed Broadcast failed InitAfterException: not implemented too large type_nbytes=%lu, buffer_size=%lu ReadToRingBuffer: buffer not allocated ReadToRingBuffer: max_size_read check Allreduce: boundary check worker 256MB rabit_reduce_buffer rabit_task_id rabit_num_trial rabit_reduce_ring_mincount rabit_tracker_uri rabit_tracker_port DMLC_TASK_ID DMLC_ROLE DMLC_NUM_ATTEMPT DMLC_TRACKER_URI DMLC_TRACKER_PORT DMLC_WORKER_CONNECT_RETRY %[^=]=%s mapred_tip_id mapreduce_task_id hadoop_mode is set but cannot find mapred_task_id 1 rabit_hadoop_mode mapred_task_id %d mapred_map_tasks mapreduce_job_maps hadoop_mode is set but cannot find mapred_map_tasks rabit_world_size Rabit Module currently only work with dmlc worker, quit this program by exit 0
can only call Init once start shutdown print %lu%c invalid format for %s invalid format for %s,shhould be {integer}{unit}, unit can be {B, KB, MB, GB} connect to (failed): [%s]
Connect retry connect to ip(retry time %d): [%s]
ReConnectLink failure 1 ReConnectLink failure 2 sync::Invalid tracker message, init failure ReConnectLink failure 3 ReConnectLink failure 4 must keep rank to same if the node already have one ReConnectLink fail to bind the ports specified ReConnectLink failure 5 ReConnectLink failure 6 ReConnectLink failure 7 ReConnectLink failure 8 ReConnectLink failure 9 ReConnectLink failure 10 ReConnectLink failure 12 ReConnectLink failure 13 ReConnectLink failure, link rank inconsistent Override a link that is active ReConnectLink failure 14 ReConnectLink failure 15 ReConnectLink: bad socket cannot find parent in the link cannot find prev ring in the link cannot find next ring in the link buffer size inconsistent must assign buffer_size Allreduce: size check Allreduce: boundary error Broadcast: root should be smaller than world size need to assume rank structure write ptr boundary check [%d] read_ptr boundary check vector::reserve vector::_M_emplace_back_aux vector::_M_default_append ?? N5rabit6engine13AllreduceBaseE AssertError:%s
%s
read can not have position excceed buffer length write position exceed fixed buffer size ????SetNonBlock-1 SetNonBlock-2 GetSockError Socket::Close double close the socket or close without create Socket %s Error:%s Poll NULL reporter:status:Rabit Phase[%03d] Operation %03d
too large type_nbytes=%lu, buffer_size=%lu ReadToRingBuffer: buffer not allocated ReadToRingBuffer: max_size_read check Allreduce: boundary check recover cannot allocate 0 size memory PushTemp seqid inconsistent PushTemp inconsistent there is nothing to be dropped rabit_global_replica rabit_local_replica Shutdown: check point must return true Shutdown: check ack must return true need to set rabit_local_replica larger than 1 to checkpoint local_model [%d] local model inconsistent, nlocal=%d read in version number local model inconsistent, nlocal=%d check ack must return true Can only call Checkpoint/LoadCheckPoint always withor without local_model, but not mixed case check point must return true [%d] save global checkpoint #%d
must already gone bad wrong oob msg should already read past mark BUG wrong Ack MSG must know the error source [%d] Allreduce size inconsistent, distin=%lu, size=%lu, reporting=%lu
Too many nodes went down and we cannot recover.. cannot get and receive request request result inconsistent TryRecoverData TryDecideRouting recv_link must be active boundary check [%d] recovered from local checkpoint version %d
LoadCheckPoint: too many nodes fails, cannot recover local state TryGetResult::Checkpoint zero size check point is not allowed Allreduce Recovered data size do not match the specification of function call.
Please check if calling sequence of recovered program is the same the original one in current VersionNumber must only set seqno for normal operations check ack & check pt cannot occur together with normal ops min seq bug local chkpt space inconsistent invalid local replica TryCheckinLocalState must have exactly 1 state RingPassing: boundary check1 RingPassing: boundary check2 RingPassing: boundary check3 vector::reserve parent must be 0 invalie stage id invalid stage MsgPassing invalid stage vector::_M_default_append vector::_M_emplace_back_aux vector::_M_fill_insert ?? N5rabit6engine15AllreduceRobustE pure virtual method called
deleted virtual method called
N10__cxxabiv117__class_type_infoE std::bad_array_new_length St20bad_array_new_length N10__cxxabiv120__function_type_infoE std::exception std::bad_exception St9exception St13bad_exception N10__cxxabiv115__forced_unwindE N10__cxxabiv119__foreign_exceptionE std::bad_alloc St9bad_alloc St9type_info ????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? ?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? ??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????:???:???:???:???:???:???:??? ???:??????? ???:???????????:???:???:???:???:???`??????0??? ???:???`???????(???????:???:???:???:??????:???:???:???:???:???:???????????????????????????????????????????:???????????????????:???:???:??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????P?????? ???????????=?????????????????????????????????????????????????????`???????J??????????????????????????*???#??? ???????????????????????????????????????????????????????l??????4?????? ????????????????????????????????????????????????????????????????????????????????????$???B???:???:???+???:??????????????:???:???:???:???:???:???:???:???????????:???????~???:???:???:???:???:???:???:???:???:???:???:???A???:???:???:???:??????:???:???:???:???:???:???:???:???:???:???:???:???:??????????l??l??T?????\???
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