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?I$HI$LLD$ NLD$ Ht$HHHHLD$LD$Ht$HHHHLD$ڛLD$IHt$HTHHGHLD$ 蠛LD$ 0HD$E1E1AHD$HD$D$ I9AHD$D$ E1HD$HD$I9AHD$D$ E1HD$I9AHD$D$ E1`I9AD$ E1JI9AD$ 7pH= 1pH= 1pH=y 1E1H˜HDpH=9 1pH=# 1|pH= 1fH@`HHHHHH܇H9Gu5H|$DH|$D$4HHH讙HHupH=x 1pH=b 1H@`HHHIHH1I9Fu1LD$xIHILLIHuDH@`H#HHHHHH9Gu5H|$H|$D$0HHH耘HHufH@`HrHHbHHTH&H9Gu5H|$H|$D$THHHHHupH= 1H@`HHHHHHH9Gu5H|$H|$D$PHHHcyHHupH=- 1pH= 1ppH= 1ZeHIHH5rH8膗.an integer is required__pyx_capi____loader__loader__file__origin__package__parent__path__submodule_search_locationsneeds an argumentkeywords must be stringsendunparsable format string'complex double''signed char''unsigned char''short''unsigned short''int''unsigned int''long''unsigned long''long long''unsigned long long''double''complex long double''bool''char''complex float''float'a structPython objecta pointera string'long double'buffer dtypeBuffer not C contiguous.name '%U' is not definedMissing type objectbuiltinscython_runtime__builtins__does not matchsklearn._loss._lossCyLossFunctionCyHalfSquaredErrorCyAbsoluteErrorCyPinballLossCyHuberLossCyHalfPoissonLossCyHalfGammaLossCyHalfTweedieLossCyHalfTweedieLossIdentityCyHalfBinomialLossCyExponentialLossCyHalfMultinomialLosssklearn.utils._seq_datasetSequentialDataset64ArrayDataset64CSRDataset64SequentialDataset32ArrayDataset32CSRDataset32sklearn._cyutilitymemoryview_allocate_bufferarray_cwrappermemoryview_cwrappermemview_sliceslice_memviewslicepybuffer_indexint (__Pyx_memviewslice *)transpose_memslicememoryview_fromsliceget_slice_from_memviewslice_copymemoryview_copymemoryview_copy_from_sliceget_best_orderslice_get_sizefill_contig_strides_arraycopy_data_to_temp_err_extents_err_dimint (PyObject *, PyObject *)_errint (void)_err_no_memorymemoryview_copy_contentsbroadcast_leadingrefcount_copyingrefcount_objects_in_slice_slice_assign_scalarmultilossEpoch %d, change: %.8g sag64exactlyloss_functionsag32__reduce____module____dictoffset____vectorcalloffset____weaklistoffset__func_doc__doc__func_name__name____qualname__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations___is_coroutine_sag_fastfloatbintdouble @бббб б0@б б *6Pjv6Pj  J 7  SSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSSlddlddddd ddddddddddddddddddddll9dL& dddddldlKE8bG*BBBAAAAAAnAYADA/AAA@@@@@{@c@R>)յlWB-Ӵ~+~+__pyx_fatalerror00010203040506070809101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899Stochastic Average Gradient (SAG) and SAGA solvers. Used in Ridge and LogisticRegression. Some implementation details: - Just-in-time (JIT) update: In SAG(A), the average-gradient update is collinear with the drawn sample X_i. Therefore, if the data is sparse, the random sample X_i will change the average gradient only on features j where X_ij != 0. In some cases, the average gradient on feature j might change only after k random samples with no change. In these cases, instead of applying k times the same gradient step on feature j, we apply the gradient step only once, scaled by k. This is called the "just-in-time update", and it is performed in `lagged_update32`. This function also applies the proximal operator after the gradient step (if L1 regularization is used in SAGA). - Weight scale: In SAG(A), the weights are scaled down at each iteration due to the L2 regularization. To avoid updating all the weights at each iteration, the weight scale is factored out in a separate variable `wscale` which is only used in the JIT update. When this variable is too small, it is reset for numerical stability using the function `scale_weights32`. This reset requires applying all remaining JIT updates. This reset is also performed every `n_samples` iterations before each convergence check, so when the algorithm stops, we are sure that there is no remaining JIT updates. Reference --------- Schmidt, M., Roux, N. L., & Bach, F. (2013). Minimizing finite sums with the stochastic average gradient https://hal.inria.fr/hal-00860051/document (section 4.3) :arxiv:`Defazio, A., Bach F. & Lacoste-Julien S. (2014). "SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives" <1407.0202>` Stochastic Average Gradient (SAG) and SAGA solvers. Used in Ridge and LogisticRegression. Some implementation details: - Just-in-time (JIT) update: In SAG(A), the average-gradient update is collinear with the drawn sample X_i. Therefore, if the data is sparse, the random sample X_i will change the average gradient only on features j where X_ij != 0. In some cases, the average gradient on feature j might change only after k random samples with no change. In these cases, instead of applying k times the same gradient step on feature j, we apply the gradient step only once, scaled by k. This is called the "just-in-time update", and it is performed in `lagged_update64`. This function also applies the proximal operator after the gradient step (if L1 regularization is used in SAGA). - Weight scale: In SAG(A), the weights are scaled down at each iteration due to the L2 regularization. To avoid updating all the weights at each iteration, the weight scale is factored out in a separate variable `wscale` which is only used in the JIT update. When this variable is too small, it is reset for numerical stability using the function `scale_weights64`. This reset requires applying all remaining JIT updates. This reset is also performed every `n_samples` iterations before each convergence check, so when the algorithm stops, we are sure that there is no remaining JIT updates. Reference --------- Schmidt, M., Roux, N. L., & Bach, F. (2013). Minimizing finite sums with the stochastic average gradient https://hal.inria.fr/hal-00860051/document (section 4.3) :arxiv:`Defazio, A., Bach F. & Lacoste-Julien S. (2014). "SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives" <1407.0202>` sklearn/linear_model/_sag_fast.pyxmax_iter reached after %d secondsNote that Cython is deliberately stricter than PEP-484 and rejects subclasses of builtin types. If you need to pass subclasses then set the 'annotation_typing' directive to False.Invalid loss parameter: got %s instead of one of ('log', 'squared', 'multinomial')Floating-point under-/overflow occurred at epoch #%d. Scaling input data with StandardScaler or MinMaxScaler might help.|Q!Qa" t2Zr !=A q 1#Q#!#7q1'ba{&*FRS"6,fBhfA1&,lRXXZZddjjk#1$:!3a!6+V2ZvQrq 6:V1a1E U"Bd! A~Sa) s!! s!!j1qrq 6:V1#1$8q#1 T! Je1A e1AWG1A\+QfASPQQR 2Q9A\A QnA;bO1 !"!""#'(q,-$%\!$%!"gT!  aq !11\ '(&'%&AU$l!3jRq!Eaq")1A*AQL! U!1 81Kq#2!611 $1F"A!5Rq!$Bb2Zr$AV2^11 U!1/xq 1/>avRq31N!/zCrBa1+1A!+2-HTU!*",=Rq+1A!+2-HTU!*"A4xqq&awd!Maq#1F"M!;c#1E3gRqq,AU*Be2Q#1A(Bc#3gRqq,AQ-Qk3a'rb7"Aq!!_A ! #$"#"##$()-.%&l!1%& wd! wd! _A%Rq !%&l!1 wd!   uA[!V1LAWAQV1LAWAU"DTTUUV q Cr[+S;c4{#Q1t1AQa&b9Baa37"A2=Rqawd!j!79xt7#Q4q R4A! :Qsklearn.linear_model._sag_fast|a!Qa"!Bj! 1M#Q!!2!3a$1$8A(rq 6:VST"6,fBhfA26<|SYY[[eekkl$A%;1Cq""F!;fBja &F"JfAa1E U"Bd! A~Sa) s!! s!!j1qrq 6:V1#1$8q#1 T! Je1A e1AWG1A\+QfASPQQR 2Q9A\A QnA;bO1 !"!""#'(q,-$%\!$%!"gT!  aq !11\ '(&'%&AU$l!3jRq!Eaq")1A*AQL! 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