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'p~[yej 'p~[y3n1VqZ]q %v"i#BgOz0BtRY967j{gbt8E=d}{ ݜT>rӘUJ78\3!A׮It^^xuL6BKKXRH& ӴwheP?+"@Y.CH Pd -lXJb֣0 2߬ʀ׎߲ǀdVH=q 071?2𫴌 d*NhvEڧm܉gkVC2w]x}ji7+j^|QlxNt%2λ m!CAFHCFZ(O[pOhBSZ8 u4C" $^u$u >`@D?D d% , Ylp  ]] N] ] |] ] x]]]!!]#4# # $ (%$8%, 9%\ :' F*G*H]H+]I-0]X-Y-\-]]/P]^6b:d;e;f;l;t;]u=H]v>w>]x@l]yATzC0C@CDC~CCCCpython3-sklearn-genetic-opt0.10.17.fc40Hyperparameters tuning and feature selectionscikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternative to popular methods inside scikit-learn such as Grid Search and Randomized Grid Search for hyperparameteres tuning, and from RFE, Select From Model for feature selection. 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