      sklearn.linear_model._logisticLogisticRegression)}(penaltyl2dualtolG?6C-CG?      
fit_interceptintercept_scalingKclass_weight}(KKurandom_stateNsolverlbfgsmax_iterMmulti_class
deprecatedverboseK 
warm_startn_jobsNl1_ratioNn_features_in_Kdclasses_numpy.core.multiarray_reconstructnumpyndarrayK CbR(KKhdtypeb1R(K|NNNJJK tbC tbn_iter_hhK h!R(KKh&i4R(K<NNNJJK tbC   tbcoef_hhK h!R(KKKdh&f8R(Kh6NNNJJK tbB   7B>?ضNȿ>l?zG`Կ׿:O:Ol7haǿDR	k캿J?n1<?d_U?g91|??2ׯY#οh{п^zʿ%ig} ߿ʒfi?J)[LZӿ7ŎEϝ?|kIНr?w{@PYһp
ֿLֿ̓w)?u`|?pk?ֽs5ſvοq߿xĿ4o?s)_~̜KE, ?	ӿt]!_ĭu ÿŠ_ɿ}%Y7}?kSq?`K^0왽E6OοE&wԿ_aͿAh?2&?_"ΦO8`v{?
ӿVk^ÿ7=(],?n-?5?:+οW
{?0Ŀ%
Կ*h?ՊuԿB/7?Tqſ.t ˭)?-Pn(տο3^h׿i?:F޿?UIR`	?iz{q:Rm?;H#vh߂Cʿ?6tտyO&6Կ)?'X;o?[lBɿoU?rkR¿Q&ݷkRӿCޜ7Ev?ks?4f?DZéij?\nZFп7~2ƿtb
intercept_hhK h!R(KKhACC'tb_sklearn_version1.5.1ub.