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See func:`sklearn.metrics.precision_recall_curve` This prevents implicit conversion of return value triple to an higher dimensional np.array of dtype('float64') (it will be of dtype('object) instead). This again is needed for assert_array_equal to work correctly. As a workaround we pad the threshold array with NaN values to match the dimension of precision and recall arrays respectively. rconstant) pad_widthmodeconstant_values)r-lenrharraypadrffloat64nan)rjrk precisionrecall thresholdspad_threshholdss rl(precision_recall_curve_padded_thresholdsrsx%;D$KF$K!Iz)ns:6O 88   FF!!"**-o.!#     rn)r2r-rrrrunnormalized_log_lossrrr1weighted_roc_aucsamples_roc_auc micro_roc_auc ovr_roc_aucovr)r| multi_classweighted_ovr_roc_auc ovo_roc_aucovoweighted_ovo_roc_aucpartial_roc_auc)max_fprr weighted_average_precision_score)samples_average_precision_scoremicro_average_precision_scorerr,rr5> rr,rrrrrrrrrpr>rrsrr2r0rrr1rr.rrr-rv>rrsr0rr.rv>r1rr >rrsrr2r0rr.rr-r rrrrv>"rrsrrr2r0rrrrrr.rrr}rrrrrrrrr-rrr`r_rorprvrrry>r6r r5>rrr,rr1rrrrrrrr rrrr>rr6r rrrrrrr}rrrrrrrrrrrrrrrr\rorrrry> r/rr%r'r"r*r(rr3rr4r#>rr!rrr6r rrrrr%r'rrr"rrWr*rrrr(rxr3rrr4r\r>rsr/rr2rr0rr.rrr}rrr$rr&r-rr rrrr`r_r#rYrZrorvrry>r!rrr*>rr$r&rYc[[UR5UR555S-nX- nX- nX4$)zMake targets strictly positiverc)absminy1y2offsets rl_require_positive_targetsrBs9 RVVXrvvx( )A -FLBLB 6Mrnc[[UR5UR555S- nUR[R5nUR[R5nX- nX- nX4$)z$Make targets strictly larger than -1gGz?)rrrfrhrrs rl_require_log1p_targetsrJs] RVVXrvvx( )D 0F 2:: B 2:: BLBLB 6Mrnc[[-[[5-[-[[ 5:Xde[[-[5:XdegN)SYMMETRIC_METRICSNOT_SYMMETRIC_METRICSsetTHRESHOLDED_METRICS"METRIC_UNDEFINED_BINARY_MULTICLASS ALL_METRICSrnrltest_symmetry_consistencyrTsX   ! " # - - [      5 5#% ?? ?rnnamec[S5nURSSSS9nURSSSS9nU[;a[X#5up#OU[;a [ X#5up#URSSSS9nURSSSS9n[ UnU[;a,U[;a[U"XE5U"XT5SU-S9 gS5e[U"X#5U"X25SU-S9 g) Nrrtsizerz%s is not symmetricerr_msgz This case is currently unhandled) rTrandintMETRICS_REQUIRE_POSITIVE_YrMETRICS_WITH_LOG1P_YrrMETRIC_UNDEFINED_BINARYMULTILABELS_METRICSrJ)r random_statey_truey_pred y_true_bin y_pred_binmetrics rltest_symmetric_metricr`s&a(L  ! !!QU ! 3F  ! !!QU ! 3F ))26B % %/?%%a%:J%%a%:J  F && & & z.z.-4  =< <5 6 " 6 ")D0 rncN[S5n[UnSn[S5HknURSSSS9nURSSSS9nU[;a [ XV5upVU"XV5nU"Xe5n[ R"Xx5(aMiSn O U(a[US35eg) NrTrtrrF seems to be symmetric) rTrrangerrrrhallclose ValueError) rrralways_symmetric_rrnominalswappeds rltest_not_symmetric_metricrs&a(L  F  1X%%a%7%%a%7 - -6vFNF(({{7,,$  D6!7899rnc<SnSn[U5 [R"[US3S9 [U5 SSS5 [ U5 [R"[ US3S9 [ U5 SSS5 g!,(df  NJ=f!,(df  g=f)Nr r0z is not symmetricmatchr)rpytestraisesAssertionErrorrr)symnot_syms rltest_symmetry_testsrs CG# ~y8I-J Kg& Lg& zC50F)G H!#& I H L K I Hs A<' B < B  Bcb[S5nURSSSS9nURSSSS9nU[;a[X#5up#OU[;a [ X#5up#[ X#SS9upE[5 [Un[U"X#5U"XE5SU-S9 SSS5 g!,(df  g=f)Nrrtrrr %s is not sample order invariantr) rTrrrrrrDrNrrJ)rrrry_true_shuffley_pred_shufflers rltest_sample_order_invariancers&a(L  ! !!QU ! 3F  ! !!QU ! 3F ))26B % %/?%,V!%L"N  T" 6 " > 26=    s 3$B  B.c$[S5nURSSSS9nURSSSS9nURURS9nX3R SSS9-n[ XUSS9upEn[ H&n[Un[U"X5U"XE5S U-S 9 M( [H&n[Un[U"X5U"XF5S U-S 9 M( [H@n[Un[U"X5U"XF5S U-S 9 [U"X5U"XE5S U-S 9 MB g) NrrtrrrcTrekeepdimsrrr) rTruniformshapergrDrrrJTHRESHOLDED_MULTILABEL_METRICSMULTIOUTPUT_METRICS) rrry_scorerry_score_shufflerrs rl7test_sample_order_invariance_multilabel_and_multioutputrsD%a(L ! !!QX ! 6F  ! !!QX ! 6F"" "5G {{D{11G6=a73NO$T" 6 " > 26= $/T" 6 # > 36= /$T" 6 # > 36=  6 " > 26= $rncb[S5nURSSSS9nURSSSS9nU[;a[X#5up#OU[;a [ X#5up#[ U5n[ U5n[R"U5[R"U5pv[URS5 [URS5 [R"US5n[R"US5n [R"US5n [R"US5n [5 [Un U "X#5n [U "XE5U SU-S 9 [U "Xg5U S U-S 9 [U "X5U S U-S 9 [U "Xe5U S U-S 9 [U "XG5U S U-S 9 [U "Xi5U S U-S 9 [U "X5U S U-S 9 [U "XI5U SU-S 9 [U "X5U SU-S 9 [R "["5 U "Xk5 SSS5 [R "["5 U "X5 SSS5 [R "["5 U "XK5 SSS5 [R "["5 U "X5 SSS5 [R "["5 U "X5 SSS5 [R "["5 U "X5 SSS5 U[$[&-[(-;aySU;aH[R*"[,5 [.R0"U "X55(deSSS5 O+[R "["5 U "X5 SSS5 SSS5 g!,(df  GN=f!,(df  GNg=f!,(df  GNN=f!,(df  GN5=f!,(df  GN=f!,(df  GN=f!,(df  N=f!,(df  N=f!,(df  g=f)Nrrtrrrc)rc)rcrz,%s is not representation invariant with listrz3%s is not representation invariant with np-array-1dz7%s is not representation invariant with np-array-columnz@%s is not representation invariant with mix np-array-1d and listzK%s is not representation invariant with mix np-array-1d and np-array-columnzD%s is not representation invariant with mix list and np-array-columnroc_auc)rTrrrrrlistrhrrLndimreshaperNrrJrrrrrrwarnsr mathisnan)rrrry1_listy2_listy1_1dy2_1d y1_column y2_columny1_rowy2_rowrmeasures rl&test_format_invariance_with_1d_vectorsrs}&a(L   a  /B   a  /B ))*22B % %'/2hG2hG88B<"5uzz1%uzz1% 5'*I 5'*I ZZw 'F ZZw 'F  T". 7 $ BTI  5 IDP  9 ( MPTT   5 " V   7 " V   5 $ 2    9 $ 2    7 & V   9 & V ]]: & 5 !' ]]: & 6 !' ]]: & 7 #' ]]: & 6 #' ]]: & 9 %' ]]: & 6 %'  "@ @CV V D \\"89::fV&<====:9]]:.6*/K  Z' & & & & & & & & & & &:9/.K  s0C P  N"P ; N$"P & N6/"P  O"P < O"P ' O,0AP 0$O>#P 8 PP  N! P $ N3 .P 6 O P  O P  O) $P , O; 6P > P P  P P  P.c[S5nURSSSS9nURSSSS9n[R"SS/5Un[R"SS/5UnSnSS/n[ 5 [ UnU"X#5n Un U[ ;a [XS9n U "XE5n [U U SRU5S 9 U "URS 5URS 55n [U U S RU5S 9 U[;al[XS 9n U "XE5n [U U S RU5S 9 U "URS 5URS 55n [U U S RU5S 9 SSS5 g!,(df  g=f)Nrrtrreggsspam pos_label+{0} failed string vs number invariance testrO2{0} failed string object vs number invariance test)labelsz,{0} failed string vs number invariance test) rTrrhrrNCLASSIFICATION_METRICSMETRICS_WITH_POS_LABELrrLformatrfMETRICS_WITH_LABELS) rrrry1_stry2_str pos_label_str labels_strrmeasure_with_number metric_strmeasure_with_strmeasure_with_strobjs rl7test_classification_invariance_string_vs_numbers_labelsr-ss &a(L   a  /B   a  /B XXvv& ' +F XXvv& ' +FM&!J  '-$Rn ) ) EJ%f5  AHHN )s);V]]3=OP  HOOPTU & & ?J)&9  # FMMdS  #-V]]3-?sAS"T  ##FMMdS E   s 4DE== F c[S5nURSSSS9nURSSSS9n[R"SS/5UnSn[ 5 [ UnU[ ;arUnU[;a [XuS9nU"X#5nU"XC5n [UU SRU5S 9 U"URS 5U5n [UU S RU5S 9 Of[R"[5 U"XC5 SSS5 [R"[5 U"URS 5U5 SSS5 SSS5 g!,(df  NR=f!,(df  N(=f!,(df  g=f) Nrrtrrrrrrrrr)rTrrhrrNrrr"rrLr#rfrrr) rrrrr%r'rr*r)r+r,s rl4test_thresholded_invariance_string_vs_numbers_labelsr/sR&a(L   a  /B   a  /B XXvv& ' +FM  $T* . .J--$ZI "(. )&5  # ELLTR  #-V]]3-?"D  ##LSS z*v"+z*v}}S)2.+9  4+***9  s=B E,5 E >"E, E9E, E E, E) %E,, E:rcrzy_true, y_scorecU[:XaU/nU/n[R"[SS9 U"X5 SSS5 g!,(df  g=f)Nzcontains (NaN|infinity)r)rrrr)rrrs rl)test_regression_thresholded_inf_nan_inputr1s> ) z)C Dv E D Ds < A )rcrtc[R"U5R5(d1Sn[R"U5R 5(aSnO3SnO0Sn[R"U5R 5(aSnOSnSUSU3n[ R "[US9 U"X5 SSS5 g!,(df  g=f) zwcheck that classification metrics raise a message mentioning the occurrence of non-finite values in the target vectors.rNaNzinfinity or a value too largerzInput z contains rN)rhisfiniteallr anyrrr)rrr input_nameunexpected_valuers rl!test_classification_inf_nan_inputr:s ;;v  " " $ $ 88F    ! !$ >  88G  " "$ > zl*-=,>?G z 1v 2 1 1s , B>> C c/SQ/SQp!Sn[R"[US9 U"X5 SSS5 g!,(df  g=f)zkcheck that classification metrics raise a message of mixed type data with continuous/binary target vectors.)abr<皙?皙?333333?zJClassification metrics can't handle a mix of binary and continuous targetsrN)rrr)rrrrs rl+test_classification_binary_continuous_inputrBs7&GT  z 1v 2 1 1s 5 Ac[UnU[;aSS/nOU[;aSS/nOSS/n[USS9Hup4U"U/U/5 M g)Nrcrtgffffffrrepeat)rrrr)rrvaluesijs rlcheck_single_samplerIs^  F ))Q % %Qq)sQC*rnc[Un[SS/SS9H;up#pEU"[R"X#//5[R"XE//55 M= g)NrrcrD)rrrhr)rrrGrHkls rlcheck_single_sample_multioutputrN-sI  Fq!fQ/ arxx!!288aVH#560rnignorec[U5 gr)rIrs rltest_single_samplerR4s rnc[U5 gr)rNrQs rltest_single_sample_multioutputrTDs $D)rnc [R"/SQ/SQ/SQ/5n[R"SS/SS/SS//5n[Un[R"[ 5 U"X5 SSS5 g!,(df  g=f)N)rcrrrc)rrcrcrc)rcrcrrcrrcrhrrrrr)rrrrs rl(test_multioutput_number_of_output_differrWJsb XX|\<@ AF XX1v1v1v. /F  F z "v # " "s " A44 Bc &[S5nURSSSS9nURSSSS9n[UnU"X#5n[S5HDnUR UR S5n[ U"USS2U4USS2U45USU-S9 MF g) Nrrtrrrr2rcz'%s is not dimension shuffling invariantr)rTrrr permutationrrJ)rrrrrerrorrperms rl=test_multioutput_regression_invariance_to_dimension_shufflingr]Ts&a(L  ! !!QW ! 5F  ! !!QW ! 5F  F 6 "E 1X'' Q8 6!T'?F1d7O 4 =F rnz1ignore::sklearn.exceptions.UndefinedMetricWarning coo_containercSnSn[SUSUSS9up4[SUSUSS9up5[R"US/U-//5n[R"US/U-//5nU"U5nU"U5n[U5n[U5n UV s/sHn [U 5PM n n U V s/sHn [U 5PM n n [Hrn [ U n[ U[5(a SUlXl U"XE5n[U"Xg5USU -S 9 [U"X5US U -S 9 [U"X5US U -S 9 Mt gs sn fs sn f) NrK2rcrT n_features n_classesr n_samplesallow_unlabeledtmpzO%s failed representation invariance between dense and sparse indicator formats.rz\%s failed representation invariance between dense array and list of list indicator formats.zW%s failed representation invariance between dense and list of array indicator formats.) r rhvstackrrr isinstancer __module____name__rJrK)r^rcrdrrry1_sparse_indicatory2_sparse_indicatory1_list_array_indicatory2_list_array_indicatorr<y1_list_list_indicatory2_list_list_indicatorrrrs rl)test_multilabel_representation_invariancerqgsII *  EA +  EA B!y)* +B B!y)* +B'+'+"2h"2h/FG/F!d1g/FG/FG/F!d1g/FG#T" fg & & %F "O.  & < 6    ) B %    * D %  =$HGs D6"D;c S/S/SS///SQ//S/[R"/SS//SS9/n[UnUH.n[R"[ 5 U"X35 SSS5 M0 g!,(df  MB=f)Nrcrtr)rrt)rrcrobjectdtyperV)rmultilabel_sequencesrseqs rl+test_raise_value_error_multilabel_sequencesrxsz qcAq6   "q!fX.  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