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Re-initialisation is not supported.compile time Python version %d.%d of module '%.100s' %s runtime version %d.%dbase class '%.200s' is not a heap typeextension type '%.200s' has no __dict__ slot, but base type '%.200s' has: either add 'cdef dict __dict__' to the extension type or add '__slots__ = [...]' to the base type__pyx_t_7sklearn_5utils_9_typedefs_uint32_tC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)float (int, float const *, int, float const *, int)double (int, double const *, int, double const *, int)float (int, float const *, int)double (int, double const *, int)void (int, float, float const *, int, float *, int)void (int, double, double const *, int, double *, int)void (int, float const *, int, float const *, int)void (int, double const *, int, double const *, int)void (int, float, float const *, int)void (int, double, double const *, int)void (enum __pyx_t_7sklearn_5utils_12_cython_blas_BLAS_Order, enum 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__pyx_memoryview_obj *)PyObject *(struct __pyx_memoryview_obj *, __Pyx_memviewslice *)char (__Pyx_memviewslice *, int)Py_ssize_t (__Pyx_memviewslice *, int)Py_ssize_t (Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char)void *(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int)int (int, Py_ssize_t, Py_ssize_t)int (PyObject *, PyObject *, int)int (__Pyx_memviewslice, __Pyx_memviewslice, int, int, int)void (__Pyx_memviewslice *, int, int)void (__Pyx_memviewslice *, int, int, int)void (char *, Py_ssize_t *, Py_ssize_t *, int, int)void (__Pyx_memviewslice *, int, size_t, void *, int)void (char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *)init sklearn.linear_model._cd_fast%.200s does not export expected C variable %.200ssklearn.linear_model._cd_fast.__pyx_fused_cpdef%s() got an unexpected keyword argument '%U'%.200s() takes %.8s %zd positional argument%.1s (%zd given)sklearn.linear_model._cd_fast.enet_coordinate_descentsklearn.linear_model._cd_fast.sparse_enet_coordinate_descentsparse_enet_coordinate_descentsklearn.linear_model._cd_fast.enet_coordinate_descent_gramobject of type 'NoneType' has no len()only single character unicode strings can be converted to Py_UCS4, got length %zd'NoneType' object is not iterabledictionary changed size during iterationneed more than %zd value%.1s to unpack'NoneType' object is not subscriptable'NoneType' object has no attribute '%.30s'enet_coordinate_descent_multi_tasksklearn.linear_model._cd_fast.enet_coordinate_descent_multi_task_cython_3_1_3.fused_cython_function_cython_3_1_3.cython_function_or_method_cython_3_1_3._common_types_metatypesklearn.linear_model._cd_fast.__pyx_defaults__pyx_fuse_1enet_coordinate_descent_multi_task__pyx_fuse_0enet_coordinate_descent_multi_task__pyx_fuse_1enet_coordinate_descent_gram__pyx_fuse_0enet_coordinate_descent_gram__pyx_fuse_1sparse_enet_coordinate_descent__pyx_fuse_0sparse_enet_coordinate_descent__pyx_fuse_1enet_coordinate_descent__pyx_fuse_0enet_coordinate_descent P P P P P P P @ P P 0 P P 0 0 0 P P P P P P P P P P P P P P P P 0 P @ @ P P 0 P P P 0 P %##############################################################&##%#####%%##%##%6%B%##N%#############Z% &f%#%%&%##*%### $%# $"!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!6#!!"!!!!!##!!*#!!"""!!"!!!!!!!!!!!!!"B#O"!f"""F"!!"!!!4"#!4"D%<$<$D%<$<$<$<$<$<&,&<$<$,&<$<$&&&<$<$<$<$<$<$<$<$<$<$<$<$<$<$<$<$D%D%z&<$g&F&<&,&<$<$,&<$<$<$D%&<$D%%""%"""""%%""%""%%%""""""""""""""""% '%"%%%%""%"""%%"%#""#"""""L%<%"",%"",%,%,%""""""""""""""""##i%"|%V%L%<%"",%"""#,%"#F'0&0&0&0&0&0&0&0&0&'0&0&'0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&'+'0&0&0&0&0&0&{&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&0&u(0&h('+'%'0&%0&0&0&0&0&%%0&0&%0&0&%0&%0&0&(0&0&0&0&0&'0&0&0&'0&0&0&%%%0&%%%%0&0&%0&0&0&%%0&)0&0&0&0&'0&0&0&0&w'lWBydO:%WAAA+AA@@@@@@{@e@O@9@ @[E/נiS=$r]H3 p[F1KKKKKxKӞjU@+xcN9$ySdSOS:S%SS̏x:@I2@ :2N<E3E8@2@__pyx_fatalerror00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899Cython version of the coordinate descent algorithm for Elastic-Net multi-task regression We minimize 0.5 * norm(Y - X W.T, 2)^2 + l1_reg ||W.T||_21 + 0.5 * l2_reg norm(W.T, 2)^2 Returns ------- W : ndarray of shape (n_tasks, n_features) ElasticNet coefficients. gap : float Achieved dual gap. tol : float Equals input `tol` times `np.dot(y, y)`. The tolerance used for the dual gap. n_iter : int Number of coordinate descent iterations. Cython version of the coordinate descent algorithm for Elastic-Net regression We minimize (1/2) * w^T Q w - q^T w + alpha norm(w, 1) + (beta/2) * norm(w, 2)^2 which amount to the Elastic-Net problem when: Q = X^T X (Gram matrix) q = X^T y Returns ------- w : ndarray of shape (n_features,) ElasticNet coefficients. gap : float Achieved dual gap. tol : float Equals input `tol` times `np.dot(y, y)`. The tolerance used for the dual gap. n_iter : int Number of coordinate descent iterations. Cython version of the coordinate descent algorithm for Elastic-Net We minimize: 1/2 * norm(y - Z w, 2)^2 + alpha * norm(w, 1) + (beta/2) * norm(w, 2)^2 where Z = X - X_mean. With sample weights sw, this becomes 1/2 * sum(sw * (y - Z w)^2, axis=0) + alpha * norm(w, 1) + (beta/2) * norm(w, 2)^2 and X_mean is the weighted average of X (per column). Returns ------- w : ndarray of shape (n_features,) ElasticNet coefficients. gap : float Achieved dual gap. tol : float Equals input `tol` times `np.dot(y, y)`. The tolerance used for the dual gap. n_iter : int Number of coordinate descent iterations. Cython version of the coordinate descent algorithm for Elastic-Net regression We minimize (1/2) * norm(y - X w, 2)^2 + alpha norm(w, 1) + (beta/2) norm(w, 2)^2 Returns ------- w : ndarray of shape (n_features,) ElasticNet coefficients. gap : float Achieved dual gap. tol : float Equals input `tol` times `np.dot(y, y)`. The tolerance used for the dual gap. n_iter : int Number of coordinate descent iterations. enet_coordinate_descent_multi_taskenet_coordinate_descent_multi_task[const double[::1, :],double,double,const double[::1, :],const double[::1, :],double]sparse_enet_coordinate_descent[float[::1],float,float,const float[::1],const float[::1],const float[::1],const float[::1],float]sparse_enet_coordinate_descent[double[::1],double,double,const double[::1],const double[::1],const double[::1],const double[::1],double]sklearn/linear_model/_cd_fast.pyxenet_coordinate_descent_multi_task[const float[::1, :],float,float,const float[::1, :],const float[::1, :],float]enet_coordinate_descent_gram[float[::1],float,float,const float[:, ::1],const float[::1],const float[:],float]enet_coordinate_descent_gram[double[::1],double,double,const double[:, ::1],const double[::1],const double[:],double]enet_coordinate_descent[double[::1],double,double,const double[::1, :],const double[::1],double]Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation.Function call with ambiguous argument typesCoordinate descent without L1 regularization may lead to unexpected results and is discouraged. Set l1_ratio > 0 to add L1 regularization.Coordinate descent with no regularization may lead to unexpected results and is discouraged.Coordinate descent with l1_reg=0 may lead to unexpected results and is discouraged.enet_coordinate_descent[float[::1],float,float,const float[::1, :],const float[::1],float]P !#!6!#1F!1$2V1La RvQl&BaA! q!!&c#Q"!1q".1q Q AU! Ry Be1  F%q vQa F%q aq XQc1 A 1AQ qF%q !&fAT;cQiqat2Q1F.r*Bj11e1A'2Q!!1F%q !-q !&d#V1D+S&(Bj1QiqBfAT11e1A)at2Zs!'at2Zr!!11F! q t1Kq$c"AT Je1A A a  %q1,a;at3a81A#RqqF!151qF%q !Qiqat2Q1 e1A !'2QF%q !"-q !QiqBfAT11 e1A !'at2ZraF%q !1AYauBfAQ1619DBaQfAQfE%rQd!5'{!4r1ATAqF%q !Qiqat2Qaq1 e1A !'2QaqF%q !"-q !QiqBfAT1AQ1 e1A !'at2Zr!1QaqBa$ayAWD!1 vSCxrrG3irQRF%qqae1HAU(!3b1G6$b)1Aq1G6$bquBaq1$Cq AS$G1LAQ1d!;aqS!4qae1A=S($cBm1A$a|1AQd#QaqAN"AV2Qhbb$c1Q!%q AQat1b'4q 1AQd#QaqA$bS"G3c14r!((>a62V1BiquBaQiq 2XQd%uG2QLinear regression models with a zero l1 penalization strength are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead.L ! #!6!#1F!1$2V1La RvQl&BaA! q!!&c#Q"!1q".1q Q AU! Ry Be1  F%q vQa F%q aq XQc1 A 1AQ qF%q !&fAT;cQiqat2Q1F.r*Bj11e1A'2Q!!1F%q !-q !&d#V1D+S&(Bj1QiqBfAT11e1A)at2Zs!'at2Zr!!11F! q t1Kq$c"AT Je1A A a  %q1,a;at3a81A#RqqF!151qF%q !Qiqat2Q1 e1A !'2QF%q !"-q !QiqBfAT11 e1A !'at2ZraF%q !1AYauBfAQ1619DBaQfAQfE%rQd!5'{!4r1ATAqF%q !Qiqat2Qaq1 e1A !'2QaqF%q !"-q !QiqBfAT1AQ1 e1A !'at2Zr!1QaqBa$ayAWD!1 vSCxrrG3irQRF%qqae1HAU(!3b1G6$b)1Aq1G6$bquBaq1$Cq AS$G1LAQ1d!;aqS!4qae1A=S($cBm1A$a|1AQd#QaqAN"AV2Qhbb$c1Q!%q AQat1b'4q 1AQd#QaqA$bS"G3c14r!((>a62V1BiquBaQiq 2XQd%uG2Q8 !$1F!14q12V1LaBaA q&c#Q"!1Bd!3a1AQa!!1Cq!!1A1AQaQc! $bvSQ  Je1A A a  %q1,a1ATSq51,avV2S,a!aqBaq9DBaQfAQfE%rQd!5'1ATRq1ATA,aqV2S,a!QaqBa7"Aa4q%rD!1 vSCxrrG3irQR $a|7#WAF%qqaqBaqBe2Qaq1$Cq A$G1LaF%q1AT1AQ("D$b$a|1AQd#QaqAN"AV2Qhc1$c1Q!"E,aqQgRqgRqd"EBbs#Rq4r!((>aQiq 2XQd%uG2Q, ! #!6!#1F!1 q!&,ja bb :V7&PQ%RvQl&RvQivQbaya BaA q&c#Q"!1!!1Cq!!1CqwcQ   F%q qe1KvRs"Ks#Q Qj)7#Qaq4q F%q e1A1ATS+QaqErBk1ASQ d"E*BiwcA Je1A A a  %q1,a;at3aQiq#U#Qd!4qF%qt1D1QkQe63b 1qEF%qqd!;fBc;a#$AQcaU!9ASQQiq1D1AQcaQit1Cr$cKqBaqEF%qqTAQk!1DV2S+QqEQiq#U!4q7"Aaway!3a=!A vSCxrrG3irQR F%qe1A1Dd!'vRs"Ks!1ASQ r!4q!F%q$E)1CqD~Rq( az9AQas$aa{"IQaq4qN"AWBaWBa$c2RwcQ'AQj)1AQcS!3d!1F%q Qiq#U!2QgRqd"G3b'Cs'A4s!!((>aQiq 2XQd%uG2Q4 ! $1F!14q12V1LaBaA q&c#Q"!1Bd!3a1AQa!!1Cq!!1A1AQaQc! $bvSQ  Je1A A a  %q1,a1ATSq51,avV2S,a!aqBaq9DBaQfAQfE%rQd!5'1ATRq1ATA,aqV2S,a!QaqBa7"Aa4q%rD!1 vSCxrrG3irQR $a|7#WAF%qqaqBaqBe2Qaq1$Cq A$G1LaF%q1AT1AQ("D$b$a|1AQd#QaqAN"AV2Qhc1$c1Q!"E,aqQgRqgRqd"EBbs#Rq4r!((>aQiq 2XQd%uG2Q0 !#!6!#1F!1 q!&,ja bb :V7&PQ%RvQl&RvQivQbaya BaA q&c#Q"!1!!1Cq!!1CqwcQ   F%q qe1KvRs"Ks#Q Qj)7#Qaq4q F%q e1A1ATS+QaqErBk1ASQ d"E*BiwcA Je1A A a  %q1,a;at3aQiq#U#Qd!4qF%qt1D1QkQe63b 1qEF%qqd!;fBc;a#$AQcaU!9ASQQiq1D1AQcaQit1Cr$cKqBaqEF%qqTAQk!1DV2S+QqEQiq#U!4q7"Aaway!3a=!A vSCxrrG3irQR F%qe1A1Dd!'vRs"Ks!1ASQ r!4q!F%q$E)1CqD~Rq( az9AQas$aa{"IQaq4qN"AWBaWBa$c2RwcQ'AQj)1AQcS!3d!1F%q Qiq#U!2QgRqd"G3b'Cs'A4s!!((>aQiq 2XQd%uG2Q0 !#!6!#1F!1&RwarQe12V1KvQRvQl&BaA q&c#Q"!1vS$e3aQa  Qk!1D1AQd! Qj LaqA!1D5!4q t1Kq$c!1D Je1A A a  %q1,a;at3aq51+V1AQcc!1Dd!;aqEAQat19DBaQfAQgU!5$at1E7! 1D!1ATA+QaqQaq51AQd!QaqBa$ayAWD!1 c82V2Q7#YbQl!1ATASQQj!U!1ASAqQvQc$a1$Cq AS$G1LAQ$a{!1ATAQat1$a|1AQd#QaqAN"AV2Qhc1$c1Q!%q AQat1b'4q 1AQd#QaqA$bS"G3cA4r!((>a62V1BiquBaQiq 2XQd%uG2Qsparse_enet_coordinate_descent, ! #!6!#1F!1&RwarQe12V1KvQRvQl&BaA q&c#Q"!1vS$e3aQa  Qk!1D1AQd! Qj LaqA!1D5!4q t1Kq$c!1D Je1A A a  %q1,a;at3aq51+V1AQcc!1Dd!;aqEAQat19DBaQfAQgU!5$at1E7! 1D!1ATA+QaqQaq51AQd!QaqBa$ayAWD!1 c82V2Q7#YbQl!1ATASQQj!U!1ASAqQvQc$a1$Cq AS$G1LAQ$a{!1ATAQat1$a|1AQd#QaqAN"AV2Qhc1$c1Q!%q AQat1b'4q 1AQd#QaqA$bS"G3cA4r!((>a62V1BiquBaQiq 2XQd%uG2Qsklearn.linear_model._cd_fastenet_coordinate_descent_gramNo matching signature foundenet_coordinate_descent_fused_sigindex_refcline_in_tracebackasyncio.coroutinesConvergenceWarningrand_r_state_seedno_sample_weightsExpected at least sample_weightnormalize_summessage_ridgedual_norm_XtA arguments, got XtA_axis1normrand_r_statemessage_conv_is_coroutine_initializingW_ii_abs_maxnorm_cols_X Duality gap: signatures__pyx_vtable__n_featuresexceptionsValueError, tolerance: n_samplesisenabledX_mean_iiX_indicesTypeErrorwarningsstartptr__set_name____qualname__positivemultiplymax_iterl21_normitemsizedefaultsX_indptry_norm2w_norm2randintq_dot_wn_tasksmessagel1_normfloat64float32disabled_w_told_w_maxasarrayXtA_ptrR_norm2A_norm2w_normvaluessquarery_sumrandomn_iter__module__l2_regl1_regkwargsf_iterendptrenabledoubled_w_iicenterX_meanX_dataR_normA_normzerosw_ptrw_maxstripsplitrangeq_ptrordernumpyfloatfinfoemptydtypeconst_alphaY_ptrX_ptrR_sumQ_ptrH_ptrwarnw_ii__test____spec__ndim__name____main__kind__func__betabaseaxisargstoltmpsumrngpopgetgapepsdotXtAywnpnnkkjjiigc?. |.3eywqdYXWRQHF()@? !?! ??;tmPuuwwpx z|gz { 8 ̌ :(mt-`,@T` (@<` 0@P0 `  L0P0h`@`, p 0 п 8 pP P ` p( < @h `| , @ 4Lpd`8p0, @@8pT4 d  X @0   (Tp#xpj4p N"p$'P*E*+ , ,@IX-zRx $iFJ w?;*3$"DhXtl!4\AA ABDF  Ul h PJd e@$AGG0k GAF d DAG Z CAJ h| kAJ i AK HnAJ l AH    bah G 0ܪDabL`%(t8BAD ] DBF H̫ BEE B(A0D8GP> 8D0A(B BBBK 8nBEH A(A0m(D BBBx(nBEI E(D0A8GpxHADDDAABAABIpp8D0A(B BBBجAB M wHo.BEL E(A0A8E@8A0A(B BBB8p{BBE D(A0b(D BBB4LBDD  GBG AAB4xVBED y BBH ABBcqGAE Dq K K E , qD oAK@ XQ @<PBAG L DBD ` AEJ ` DBJ x,BBE B(D0D8Dc 8G0A(B BBBF ] 8D0A(B BBBF Q 8I0A(B BBBM HpBEB B(A0A8GPk8D0A(B BBB(HqBAGABtLD`G4BEA (M0T(A SBBx'BBB E(A0A8D@_ 8A0A(B BBBF _ 8A0A(B BBBG _ 8F0A(B BBBB @<DbXĴAGtx|iCtN\:BBD D(D@V (A ABBD Z (I ABBH g (F ABBF $A_ H } K E K $,nBDA cABTH hD |@(LBAG \ DBD з`ܷNBSB B(A0A8G` 8D0A(B BBBE ` 8A0A(B BBBE H4 ȹBBJ B(A0G8F`3 8D0A(B BBBB ` \5BBB B(D0D8G` 8A0A(B BBBF  8C0A(B BBBH  8e|h dh  Do E C E L8 BBE A(J0 (A BBBF (A BBB CtN SDN DM G  xxD~ F o xD~ F o( 8ADD d AAA (@ ADD d AAA l @D~ F o I p oBKF D(D0F (I DBBF u (I DBBJ  (D ABBE (I ABBP BBA  BBD D BBH H IBM A EBH (T xBAD ] DBF  d QBB B(A0D8DP`HPg 8D0A(B BBBD H BBB B(H0D8GP  8D0A(B BBBA H A  G H H l Aq N  )Act BEE E(D0D8G 8A0A(B BBBD h 8C0A(B BBBD HRA0 rBTiIUA EF 0TrBTiIUA EF HT)BBB E(A0D8GP 8D0A(B BBBA (8 BAD  DBE \BBA A(D@ (A ABBF A (A ABBA D (D ABBK `Qd P D 8| z3BEB A(A0(D BBB(BED v EBH D(ZBDA [ ABK p(^0I(A  DBB |,@BBB B(A0A8DP 8A0A(B BBBH  8A0A(B BBBE  8A0A(B BBBB 8BBA A(D0] (D ABBH tTBEE E(D0D8G$ 8C0A(B BBBH PHRAb 8A0A(B BBBA t`|BEE E(D0D8G 8C0A(B BBBD r 8A0A(B BBBD XHRA IBIB B(D0A8GGGGGGGGGGGGGGGGGGGGGGGGGGFFFFFFFFFFCCCCCCCCCCCCCCCBf+ 8A0A(B BBBI LBBA D(D@ (D ABBD X (D AEBD L0dd`BBB B(A0D8FP  8A0A(B BBBI  8A0A(B BBBE ,vBBB B(A0A8GbHHKQ\BWQ\BVQ[AQ^ATQ[BWQ\BQ[AVQ^ASQ\BQ\BVVVBVQ[A 8A0A(B BBBdBBB B(A0A8F@  8A0A(B BBBI  8A0A(B BBBE `[$ d A (|BHD g EBD zAv I H H  GBMK B(A0A8J / A o A # L Z A  L X A  L G G G G G G G G G G G G G G G G G G G G G G G G X  Q [ B ' L [ A  B B D d   D P R V t 8D0A(B BBBA Q  N L # W L G G G G G G G G G G G G G G G G G G G G G G G P 4O(DBMK B(A0A8J / A o A # L Z A  L W A  P N G G G G G G G G G G G G G G G G G G G G G G G P  Q [ B   K [ B x N B I d  D P R [  8D0A(B BBBA Z  N L z W L G G G G G G G G G G G G G G G G G G G G G G G P D/?BBB E(A0D8G  L Z A  G G G G G G G G G G G G G G G G G G G G G G G G G U P P N G G G G G G G G G G G G G G G G G G G G G G G P  I N A  8D0A(B BBBA ! 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