fairness/__init__.py,sha256=78Sc6I9aQR17wIn3IYiID1D4n8DkEzU88FDy-xb0zIM,168
fairness/analysis.py,sha256=l-6M1GH3R8piNoMBBsamccpmBxde_yTTdngbPf4TYrc,3501
fairness/benchmark.py,sha256=QRwTP3Ippsa06P0uu33G5Cm1cHIcBzx0gTqYQa3aJU8,7625
fairness/get_best_split.py,sha256=m7T2RAeNH3nFTEV4aWctEN5l3tPJR3ItbL55GJTHrdo,2451
fairness/preprocess.py,sha256=NkUP0-b0Y0id_SiksWSgv2P4oZss8ZWEMfVVaYDyD_E,5376
fairness/results.py,sha256=lJHJFQB_L5rzQyaN4GlkQxaTU1FQEm0IiKSGoQBbBN4,3599
fairness/algorithms/Algorithm.py,sha256=kQlGumYzxPDTm96f_Jl23QyX35L2fRjQesukxxWzfaQ,2788
fairness/algorithms/ParamGridSearch.py,sha256=PmS25I9l-xPeJViwQYRAbSMGZYeKnAsCb3Uu4FA1TJM,3669
fairness/algorithms/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairness/algorithms/list.py,sha256=U5ih4wyL7whzQmxFOPAWgCYaeq_2lhkyetB2ct8hlRQ,1958
fairness/algorithms/Ben/SDBAdaBoost.py,sha256=0gjh9XUMNasYN54xVZH8lfDq1INtZBK4bEgbLiR1xZo,3348
fairness/algorithms/Ben/SDBSVM.py,sha256=9t4Wkij4TNCNgNY0TBQ91DYPDE8aqjRiUr_Jn5d8uRg,4979
fairness/algorithms/Ben/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairness/algorithms/Ben/boosting.py,sha256=GDSDDgRppzUGMqovqbeoiDCIzTstft3n3f2I7p3HXJE,3053
fairness/algorithms/Ben/errorfunctions.py,sha256=Tu0wFwS3FXSF_C_OFMW7ElwKBaHZC5YXYFGSqfdc1E8,3951
fairness/algorithms/Ben/lr.py,sha256=1uAkYnQWe3-GcAiJ6tI6e4xUrDnaMr8fjTpiXemNMXs,554
fairness/algorithms/Ben/margin.py,sha256=KDvJQxq5IeKpmXA8hf9yw-hss_6WC-c39m5rlDwlZ2Y,7406
fairness/algorithms/Ben/svm.py,sha256=8QkCg9TuX_m34vu6yBqkGyP8TLpRLWYn0EP6II1Pw0M,1703
fairness/algorithms/Ben/utils.py,sha256=H1L1APUJvIUbil3ZOm0l3q41HGVRtK0O6d2vw2t7AW4,4214
fairness/algorithms/Ben/weaklearners/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairness/algorithms/Ben/weaklearners/decisionstump.py,sha256=M28gDkgD7EcmD1G5e3DkUdSrqVeV4DOwMb-rKX0JAwE,2280
fairness/algorithms/Ben/weaklearners/decisiontree.py,sha256=TT__9qxB_zVNw8F8qk98jwtTZ7VlZjdquwvkQLVEnJo,3270
fairness/algorithms/Ben/weaklearners/nearestneighbor.py,sha256=arlJMEjnlYEUqZ6Auw7p2irGGckmmhPTvE4lsGTB3SQ,224
fairness/algorithms/baseline/DecisionTree.py,sha256=BBJZMYP5p_mW3iHPmncQY5gp7q3ALABYYNz0CEpU784,278
fairness/algorithms/baseline/GaussianNB.py,sha256=ea3O8P1UfeIwAEObQBJ8KN5lVLfwxE_j15QCls33GYQ,269
fairness/algorithms/baseline/Generic.py,sha256=0M74vHOsTLWNwiCU-D40GOWJFk2vJRTIq5qP6PwhHWQ,1209
fairness/algorithms/baseline/LogisticRegression.py,sha256=DSUQdIYAeoDACV6qR7jRvazPSpDL0nl-ywQ9YmMyTKQ,278
fairness/algorithms/baseline/SVM.py,sha256=Hl5cZP_-uhZcJvxZyiciV4y8xSxLjvmWkpDcBt_FcWw,242
fairness/algorithms/baseline/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairness/algorithms/feldman/FeldmanAlgorithm.py,sha256=D0HBdCTatGLtvVaIZxyUlh2gpYH7SLNSgxclhLTfhIg,2515
fairness/algorithms/feldman/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairness/algorithms/kamishima/CaldersAlgorithm.py,sha256=wu3ke7JY98MBwM7YLh_oQWkobOK45AaFxbG8rrQvNIA,5092
fairness/algorithms/kamishima/KamishimaAlgorithm.py,sha256=YmzqQydBMkUkOZnLpFvAPF0qj7b7OE0BhBe6ey4kqto,4509
fairness/algorithms/kamishima/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/commands.py,sha256=dbv4Br-b_j-T1U1J_FtfA50zbY-He78JaVdjkczV2Pw,212
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fai_bin_bin.py,sha256=Spr3qEgU_C9YWj13T0YXJ8n9lgqx8WUjq5jUq6tNiK4,8071
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/predict_lr.py,sha256=YmM6GSbxgFIgivVY7ZT31RyiPW8jQs1TNyVyXxXOXVU,8573
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/predict_nb.py,sha256=feP4PINiLDwuCDGrpv9SnghkhMXLJ03OUS05oLKQOvc,8473
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/train_cv2nb.py,sha256=_NlDi26AwBK0YMvOcir1IviKtvnKT-bbcZilncFm_gg,7847
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/train_lr.py,sha256=x1rbvxXrnFu3kHk6qVw8QrKwA9tRvE8-qmSfJO9wOl4,7731
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/train_nb.py,sha256=r4fQnbfouQQSf53-WSHsgRtKD57gGmNa5dlEvQ4iGzs,8102
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/train_pr.py,sha256=4aOic8ysJLSkvEKStCE3-f0obnyRfzwiPYyK0HxRgno,9879
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/add_quad_terms.py,sha256=S4lNCOVcSWA7X6MToDSK9Xd9uX_4ycQIzG7w_DBmL_w,6712
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/adult_arff.py,sha256=ytA6bbeo05Y7Jc3cRAxZgIm2CVWJQJn_aiv78iXypSg,6039
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/adult_discritize.py,sha256=aWd9CGfiYjn-bsH09AmtGM52lkJgFuAqSpa8M9yWkfg,7937
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/adult_gen.sh,sha256=zs5OCkNYf7ElHY-rzlleW0bWrPaDIdEA4SINUHodgaw,749
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/adultd_gen.sh,sha256=tQw2iT_ag7ehFJvMkBr0Z_ibNvSIzSO1FYaBCbEa28A,1100
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/creditg_f_bindata.py,sha256=3bLdb9Wni8T4BXl2GW-QfGWbDxCYahIMq5TtbRccfE4,786
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/creditg_f_data.py,sha256=5HlxTTUqenSnZ57gT48YLXP2-e56L8BcmV6CxE8FKuw,387
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/creditg_gen.sh,sha256=22rRdyBGEqexmj7Lv7fp3NhRce81_LRgV1CkCbED-iM,841
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/creditg_j_bindata.py,sha256=OWmwdBXXUSl7yKMdPSaRGqhTjJYNgodVK7gRSZxizYY,835
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/creditg_j_data.py,sha256=yQqUN0dgNBe4zc29xfa2l1B6mNu0bZ5_Eo9Ur7CmADQ,434
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/creditg_p_bindata.py,sha256=0WqtT-OjOACYIJTm4tGUDZBHHfDQFRQ-CN60CfXA5ZI,830
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/creditg_p_data.py,sha256=IO4-jMRp_t8xj-mjYQrTex1Sy0j5H3t6-HjgFXda6B4,431
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/readme.rst,sha256=Wg7nQ6n22uE1kdN8k8FDG0JJbEGC8z5uFqTFngDGe88,1173
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/sdata_cv.py,sha256=6s6oSJxaRfgCoHsCbsvtc7-JpFuIsSwsaV6flSziAh0,12083
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/sdata_cv_gen.sh,sha256=24ulbNBDEu4s7VdhbGKSR7bwjOKXBxAL5pNDECHn-ZM,1144
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/sdata_kam1.py,sha256=q4yaTbHw4CcKsnJUkwpbU0S_8zvEAo0QBzO6uP4MM7o,1143
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/sdata_zkc1.py,sha256=IoieEyuG4CKpBl7pZ5cv0L-mtWp37uwO542SuDzYahA,1253
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/sdata_zkc2.py,sha256=LjD56YdGe4ltvgboAhKWjACZI6G-Mo5YLonAc3nis-8,1253
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/data/select_sensitive.py,sha256=3uXvowS24lQsJ6Rq2CP_lsSXTUrk8o84oOVVj-gdxIY,5738
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fadm/__init__.py,sha256=4pIsrZ393Kr8b8QdDOyL5STwe-hv7n_9LLC0sZgaI24,2511
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fadm/eval/__init__.py,sha256=w9PxxF_DXUX4zsZ-NotKLke4uzcQsm6AzcObn6wBIh4,310
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fadm/eval/_bin_class.py,sha256=iqMtPuiIgjkX_afYk85moCqpWhQUeRiyx4yha4dP-Oo,16079
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fadm/eval/_bin_class_bin_sensitive.py,sha256=_TKnepgCB4yP5k9H2qU78jDGHIiMVDXJo4sYD4sajlk,16393
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fadm/lr/__init__.py,sha256=XwG_Id4ktKqxoVmw15RwcWrnup0SMBihX89JFbqHWF0,441
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fadm/lr/pr.py,sha256=N19Rs4aZi5h3rAcGUZlZv3CVdolCqLb3ljagEbRKXlE,15688
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fadm/nb/__init__.py,sha256=dbJJEGN0DP6vjwxvZYL1t2N7i4iEm4AL3AZMfCZB3oM,456
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fadm/nb/_nb.py,sha256=GmU_Ki54920VYpVIsUh-zw4cuDT_VtjCI5yejYKDDVY,21737
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fadm/nb/cv2nb.py,sha256=dZbclIxNZBDwx1tTiAc1Xgdf9jYocbZu_tetLca36bw,7977
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fadm/util/__init__.py,sha256=-09NMUoADsEWrx-4VY904ES6gMjwZfVotRZX1N5OEHs,257
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/fadm/util/_base.py,sha256=fWqWBsXfEu2p2bRr1nmpGz-SuPf_5OzLVPoNedAQ7Ew,4058
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/tmp/Support_Vector_Machine_1512773695.244739Support_Vector_Machine.model,sha256=qTip7lAGYdhXWwCfRdi4ergSpwAmIp88bHuFbPYxJVA,21655
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/tmp/Support_Vector_Machine_1512773695.244739Support_Vector_Machine.model..test.arff,sha256=lfgl2IWoUHoMOX45SAledJ8WnLB59qxc_Cmn42KXzKY,51200
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/tmp/Support_Vector_Machine_1512773695.244739Support_Vector_Machine.model..test.arff.out,sha256=6Dj5jJHBx_Rko9uAZqlmjXc36a-B8aQFVfiyWSPSnYs,13780
fairness/algorithms/kamishima/kamfadm-2012ecmlpkdd/tmp/Support_Vector_Machine_1512773695.244739Support_Vector_Machine.model.train.arff,sha256=14OCHIwbhYfRKb4Y13D98DmqJbIkCvLSju9pE-mHENM,100665
fairness/algorithms/zafar/ZafarAlgorithm.py,sha256=_g9CPWD1oocN-DCwPJRmugpyjsYf099KYRcbbN9FJmM,4327
fairness/algorithms/zafar/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairness/algorithms/zafar/fair-classification-master/LICENSE.txt,sha256=WJ7YI-moTFb-uVrFjnzzhGJrnL9P2iqQe8NuED3hutI,35141
fairness/algorithms/zafar/fair-classification-master/README.md,sha256=x2b8EAMq2x0-67XBd6FqXNi85rGbE2JWzUo-CiaHKoY,3616
fairness/algorithms/zafar/fair-classification-master/disparate_impact/README.md,sha256=9_eJuWJXZLdnargw_tox_TdGUQJjkmkqfnyvo0OcM5Q,11803
fairness/algorithms/zafar/fair-classification-master/disparate_impact/run-classifier/adult_test.json,sha256=oVyZxuCWbYJMVWU7wXO5pMG9Z9naYWD1Rifs6gxaZRs,3604844
fairness/algorithms/zafar/fair-classification-master/disparate_impact/run-classifier/adult_train.json,sha256=w2mk4QQH48n_PPgNANFELzNg5Oc_zbt-a2GZ5iGxsss,8410962
fairness/algorithms/zafar/fair-classification-master/disparate_impact/run-classifier/loss_funcs.py,sha256=erIJjO7o6cPJcFdSSxuQ8uknXUEtm7uvkzO0I5liFm0,2268
fairness/algorithms/zafar/fair-classification-master/disparate_impact/run-classifier/main.py,sha256=uohtoKZA04quC5u7hPzjo3AuwyJljrdB3krZuHkejMc,4660
fairness/algorithms/zafar/fair-classification-master/disparate_impact/run-classifier/prepare_adult_data.py,sha256=grKFbN7woFshFHDrSFyHLmib25TIMc0urdYXXp0oWcA,6477
fairness/algorithms/zafar/fair-classification-master/disparate_impact/run-classifier/utils.py,sha256=7scfqJbYz1Nzehvt2i2HCADxeZv_H-22v_9HUhte8Mc,27428
fairness/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairness/data/objects/Adult.py,sha256=Ar-J2f5qkyCkR2UuDxL_lZO72nHp0odIPRatRzPD3wQ,892
fairness/data/objects/Data.py,sha256=XcAfhfYgGeuRWtFO75UilvLHyLHm4sVNbemTbLP8J54,6172
fairness/data/objects/German.py,sha256=uw0Tvz2mL4eacNiVyKcPpYqgWDU31C0HqnPP31nAfmE,2153
fairness/data/objects/ProcessedData.py,sha256=iW9A9DvmUlX5qqxOZFNF3_AmLyJ6rqbv5uIq1mDScyo,1829
fairness/data/objects/PropublicaRecidivism.py,sha256=wCqkWxVBqa-G04w5ANjPlwgyKe_BxG1np0DYaFz-9YY,1692
fairness/data/objects/PropublicaViolentRecidivism.py,sha256=eKRU3aVTutqgl7fpHIEZKazZwg10_ZIBPbgdlSbCs1U,1979
fairness/data/objects/Ricci.py,sha256=6HnvCw01Y8odjMMx8pVZKZc1sqBGbVqq5nNYXhzhrGE,1058
fairness/data/objects/Sample.py,sha256=avQ0i7XscCFxnrlfqXLlWMQunBIz41EI7qTIhLmsDS0,3734
fairness/data/objects/TwoGaussians.py,sha256=ekWwnjGYUm_MBjugxc0j76-umXmsp_4ctYsn8cOH9T4,1643
fairness/data/objects/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairness/data/objects/list.py,sha256=3sYCtF_NuyahhPyyhU9bsz6nSK8lcoP2KSfn57osUgk,1841
fairness/data/preprocessed/adult_bin_sensitive.csv,sha256=TNt47V73P3IDnxDQ7fbRefoLnWunn90orA6zN_tKOPE,6123796
fairness/data/preprocessed/adult_categorical-binsensitive.csv,sha256=Upf7xbOunbjvdQYt1JHOU6Ag4cMFY0w479ma9Mmq4o4,3212810
fairness/data/preprocessed/adult_numerical-binsensitive.csv,sha256=TNt47V73P3IDnxDQ7fbRefoLnWunn90orA6zN_tKOPE,6123796
fairness/data/preprocessed/adult_numerical.csv,sha256=Kpxs-iQxcJKVMhYLilnAKVFB9uSS2Rg3p8pG3Zstldk,6789362
fairness/data/preprocessed/adult_numerical_binsensitive.csv,sha256=jfHaYwduJKl5QvfA42wmcNc4kEdWSFP6Btc1ulXKIy0,6581
fairness/data/preprocessed/adult_original.csv,sha256=ZO364Pz4NthHll2r61dHcx3xfHYLYzcZPfr6BS7GYU8,3458861
fairness/data/preprocessed/adult_processed.csv,sha256=hUwQfuLXdGLjEO7ZD8G33Erv7_dLsWA_iRKXqb8kt-Q,5902
fairness/data/preprocessed/german_bin_sensitive.csv,sha256=-EjUQAYzXXLg1AxoVEDuLgx-OnfyKzf_iU-uHzwT0ho,123654
fairness/data/preprocessed/german_categorical-binsensitive.csv,sha256=h_tXIZ3BAjFfDrChc9uV7mJ5XXPJwhDvzxw4uk5ZfvQ,88675
fairness/data/preprocessed/german_numerical-binsensitive.csv,sha256=n3A_3fOxDnXwLkW-TpDV6o_1n6VZ2wRTdpnYoFchFU0,124662
fairness/data/preprocessed/german_numerical.csv,sha256=yjXi3bQrJIZkKR3REmyWXQrlphTFMoaQFGHV_ihr_7E,141902
fairness/data/preprocessed/german_numerical_binsensitive.csv,sha256=-EjUQAYzXXLg1AxoVEDuLgx-OnfyKzf_iU-uHzwT0ho,123654
fairness/data/preprocessed/german_original.csv,sha256=ACzGTLrJ0SmkOWKDHKTTw8WwSa_dO7ar-4ZliGtAZm4,96295
fairness/data/preprocessed/german_processed.csv,sha256=OborP1bKsZ_vxGZnLFqzqFbnfL145T6sBx077wAlkqA,81667
fairness/data/preprocessed/propublica-recidivism_categorical-binsensitive.csv,sha256=MswspJZZVvDHteFMpGRUUxhdO8u3H6QVG7qov2gdCTQ,442082
fairness/data/preprocessed/propublica-recidivism_numerical-binsensitive.csv,sha256=H1q6I06bJeZqGONvXOLe_39RqJpmU3jkkZQqKaTRRIg,4993689
fairness/data/preprocessed/propublica-recidivism_numerical.csv,sha256=SjBLAYESFSqszuebjiTAcnqSDk00_6BENO9twGQa8jo,5186933
fairness/data/preprocessed/propublica-recidivism_numerical_binsensitive.csv,sha256=abWljaXkKg3O1GlWN_tAfg6xGmJBgjrgRIa2q4g-9P4,5043391
fairness/data/preprocessed/propublica-recidivism_original.csv,sha256=enqE1uAUYoGJFazkteIfYW3aVJqQhte8IfSMoQV_M-U,532537
fairness/data/preprocessed/propublica-recidivism_processed.csv,sha256=EG-O80SpRXfW3sNPWHb9GJv01MeGq-tXelL3lDVu9UU,575829
fairness/data/preprocessed/propublica-violent-recidivism_categorical-binsensitive.csv,sha256=sSsBH-1RHgvgcn_wtUXzQqoD4lfwkoglb-Is3Wb_t9Y,284483
fairness/data/preprocessed/propublica-violent-recidivism_numerical-binsensitive.csv,sha256=wodqMyWloUGoSVOl2YnJAbyl4dhDt9LjuYTWly0eDzE,2656110
fairness/data/preprocessed/propublica-violent-recidivism_numerical.csv,sha256=H0ckkZ1-bfsek9VmQEsGuw_8A_kxYB2mpG7HdpvMJqU,2779656
fairness/data/preprocessed/propublica-violent-recidivism_numerical_binsensitive.csv,sha256=R2p_KVOjl0T5_7gvG0c60WBNGJShfF0AUq6801kA-O0,2688387
fairness/data/preprocessed/propublica-violent-recidivism_original.csv,sha256=h3ymUCrxkvJJ_-gTwnuMHwPxwr2i8DwI1VcZl5-pc6o,342246
fairness/data/preprocessed/propublica-violent-recidivism_processed.csv,sha256=ZO7aBk7VzTxkpMDON4GHBxL_13hmDC4-kuxTj7U4vg8,369737
fairness/data/preprocessed/retailer_numerical.csv,sha256=-zvP6x9CDeQ0raY4fOd3r87tUzw-6JnVraRJL1B2Osc,41397916
fairness/data/preprocessed/retailer_processed.csv,sha256=-zvP6x9CDeQ0raY4fOd3r87tUzw-6JnVraRJL1B2Osc,41397916
fairness/data/preprocessed/ricci_bin_sensitive.csv,sha256=MeBgAH3qmX9hbyiBdl7mbj_kiqDjPB5UKakCkoB-Vbk,2971
fairness/data/preprocessed/ricci_categorical-binsensitive.csv,sha256=oUdVJWPPwb-TTE0Yz9HQ3uuJZZOmCUUaSc388jRsaeE,3646
fairness/data/preprocessed/ricci_numerical-binsensitive.csv,sha256=MeBgAH3qmX9hbyiBdl7mbj_kiqDjPB5UKakCkoB-Vbk,2971
fairness/data/preprocessed/ricci_numerical.csv,sha256=fN4BZL3_-vFDvF7mICgSgvGzf1TBkdnvesKq4mKocFg,2971
fairness/data/preprocessed/ricci_numerical_binsensitive.csv,sha256=MeBgAH3qmX9hbyiBdl7mbj_kiqDjPB5UKakCkoB-Vbk,2971
fairness/data/preprocessed/ricci_original.csv,sha256=RKmpZ_GFsjwPjcbCj6e9UL_Opswp0mF260zJ2WvxNOg,3646
fairness/data/preprocessed/ricci_processed.csv,sha256=RKmpZ_GFsjwPjcbCj6e9UL_Opswp0mF260zJ2WvxNOg,3646
fairness/data/preprocessed/two-gaussians_0.05_categorical-binsensitive.csv,sha256=87HR8du99wJofnldDC6UNZWH-wEufHFVbovVKLtN0ZQ,4734
fairness/data/preprocessed/two-gaussians_0.05_numerical-binsensitive.csv,sha256=87HR8du99wJofnldDC6UNZWH-wEufHFVbovVKLtN0ZQ,4734
fairness/data/preprocessed/two-gaussians_0.05_numerical.csv,sha256=E_tmNlMNK5yNT3Ne2AA11GfejsyI4q1d9aN3gXqNoyI,6934
fairness/data/preprocessed/two-gaussians_0.05_original.csv,sha256=E_tmNlMNK5yNT3Ne2AA11GfejsyI4q1d9aN3gXqNoyI,6934
fairness/data/preprocessed/two-gaussians_0.1_categorical-binsensitive.csv,sha256=aQjH2evpg_6kM61yz8zw3Wojl9FrW5JK0NsNKNHHxJ4,4727
fairness/data/preprocessed/two-gaussians_0.1_numerical-binsensitive.csv,sha256=aQjH2evpg_6kM61yz8zw3Wojl9FrW5JK0NsNKNHHxJ4,4727
fairness/data/preprocessed/two-gaussians_0.1_numerical.csv,sha256=_1q0plf2zEgdaRLEPxRhv9D7EdJslfmCUQWB6yxWyFk,6927
fairness/data/preprocessed/two-gaussians_0.1_original.csv,sha256=_1q0plf2zEgdaRLEPxRhv9D7EdJslfmCUQWB6yxWyFk,6927
fairness/data/preprocessed/two-gaussians_0.25_categorical-binsensitive.csv,sha256=gpl2NbJfA-myqMy26RCFlK6aGW6ilxtZqZS3lezRNs0,4726
fairness/data/preprocessed/two-gaussians_0.25_numerical-binsensitive.csv,sha256=gpl2NbJfA-myqMy26RCFlK6aGW6ilxtZqZS3lezRNs0,4726
fairness/data/preprocessed/two-gaussians_0.25_numerical.csv,sha256=EfbVCXeAJdNFWtPwyFpKQvot_UsId7PrFFslM_xy9rE,6926
fairness/data/preprocessed/two-gaussians_0.25_original.csv,sha256=EfbVCXeAJdNFWtPwyFpKQvot_UsId7PrFFslM_xy9rE,6926
fairness/data/preprocessed/two-gaussians_0.2_categorical-binsensitive.csv,sha256=FWeZsBWujNFhUYfWG-a8aHA56v3LPEDc4rUfnrrZqhM,4732
fairness/data/preprocessed/two-gaussians_0.2_numerical-binsensitive.csv,sha256=FWeZsBWujNFhUYfWG-a8aHA56v3LPEDc4rUfnrrZqhM,4732
fairness/data/preprocessed/two-gaussians_0.2_numerical.csv,sha256=u-TMHstipI6293YJOxwj9v_qa4hXpe-NOOxZU_1zU8g,6932
fairness/data/preprocessed/two-gaussians_0.2_original.csv,sha256=u-TMHstipI6293YJOxwj9v_qa4hXpe-NOOxZU_1zU8g,6932
fairness/data/preprocessed/two-gaussians_0.3_categorical-binsensitive.csv,sha256=Nbdykr2fdyv9zjQTit2aP3CesleZ64R2gCb9oeTKF20,4739
fairness/data/preprocessed/two-gaussians_0.3_numerical-binsensitive.csv,sha256=Nbdykr2fdyv9zjQTit2aP3CesleZ64R2gCb9oeTKF20,4739
fairness/data/preprocessed/two-gaussians_0.3_numerical.csv,sha256=OvQeCQAguTiMFaJuKTjD5T7sA7uUdOHAbCS5HY2UYgY,6939
fairness/data/preprocessed/two-gaussians_0.3_original.csv,sha256=OvQeCQAguTiMFaJuKTjD5T7sA7uUdOHAbCS5HY2UYgY,6939
fairness/data/preprocessed/two-gaussians_0.4_categorical-binsensitive.csv,sha256=Hhe8IxJX8kHrQzwn34jrgxHTKlLZ364LLgtu9TWWmBs,4721
fairness/data/preprocessed/two-gaussians_0.4_numerical-binsensitive.csv,sha256=Hhe8IxJX8kHrQzwn34jrgxHTKlLZ364LLgtu9TWWmBs,4721
fairness/data/preprocessed/two-gaussians_0.4_numerical.csv,sha256=02dbCQD0bxTs4SMw3l7xKSeuHbDLoZTG1uXD813pGrc,6921
fairness/data/preprocessed/two-gaussians_0.4_original.csv,sha256=02dbCQD0bxTs4SMw3l7xKSeuHbDLoZTG1uXD813pGrc,6921
fairness/data/preprocessed/two-gaussians_0.5_categorical-binsensitive.csv,sha256=GQK_RWIxD18qh-IRj1jr_90GalKFp8EkQmjwiWyci0Y,4740
fairness/data/preprocessed/two-gaussians_0.5_numerical-binsensitive.csv,sha256=GQK_RWIxD18qh-IRj1jr_90GalKFp8EkQmjwiWyci0Y,4740
fairness/data/preprocessed/two-gaussians_0.5_numerical.csv,sha256=9dNIfJh7WF3AbvSR1vxqpiJgoQD76Uq75WFvUmH6OXU,6940
fairness/data/preprocessed/two-gaussians_0.5_original.csv,sha256=9dNIfJh7WF3AbvSR1vxqpiJgoQD76Uq75WFvUmH6OXU,6940
fairness/data/preprocessed/two-gaussians_0.6_categorical-binsensitive.csv,sha256=ASmXYhL21xkuaqS7QF8eNHITyKuhrJ6Er0wZuphVmhQ,4732
fairness/data/preprocessed/two-gaussians_0.6_numerical-binsensitive.csv,sha256=ASmXYhL21xkuaqS7QF8eNHITyKuhrJ6Er0wZuphVmhQ,4732
fairness/data/preprocessed/two-gaussians_0.6_numerical.csv,sha256=TZkPkZuJ51Zj5ijBY0ouOGGP0udVh3hQx4Gwac_JxaQ,6932
fairness/data/preprocessed/two-gaussians_0.6_original.csv,sha256=TZkPkZuJ51Zj5ijBY0ouOGGP0udVh3hQx4Gwac_JxaQ,6932
fairness/data/preprocessed/two-gaussians_0.7_categorical-binsensitive.csv,sha256=d5-TzEKZkJpa_jck-hDNuc61zHXiubnkdw-tDH7CslE,4713
fairness/data/preprocessed/two-gaussians_0.7_numerical-binsensitive.csv,sha256=d5-TzEKZkJpa_jck-hDNuc61zHXiubnkdw-tDH7CslE,4713
fairness/data/preprocessed/two-gaussians_0.7_numerical.csv,sha256=FAN0AxbTjlf6z0dLUuzBURnymsmRXQLU6GxUrRfmVQ8,6913
fairness/data/preprocessed/two-gaussians_0.7_original.csv,sha256=FAN0AxbTjlf6z0dLUuzBURnymsmRXQLU6GxUrRfmVQ8,6913
fairness/data/preprocessed/two-gaussians_0.8_categorical-binsensitive.csv,sha256=EtYolgL3kKMSTubDjLERm4bmZXx5K-h9h3MblbGDDsg,4728
fairness/data/preprocessed/two-gaussians_0.8_numerical-binsensitive.csv,sha256=EtYolgL3kKMSTubDjLERm4bmZXx5K-h9h3MblbGDDsg,4728
fairness/data/preprocessed/two-gaussians_0.8_numerical.csv,sha256=ZYFBQvongC6Pgp40ENjEJefzlobFSN8QbVREcH3A8X8,6928
fairness/data/preprocessed/two-gaussians_0.8_original.csv,sha256=ZYFBQvongC6Pgp40ENjEJefzlobFSN8QbVREcH3A8X8,6928
fairness/data/preprocessed/two-gaussians_0.95_categorical-binsensitive.csv,sha256=Alwe42QHm8rGfMCT3z-gWDJLLLL-Eh0pzYcXTOndlWE,4742
fairness/data/preprocessed/two-gaussians_0.95_numerical-binsensitive.csv,sha256=Alwe42QHm8rGfMCT3z-gWDJLLLL-Eh0pzYcXTOndlWE,4742
fairness/data/preprocessed/two-gaussians_0.95_numerical.csv,sha256=S6Iqg0GG6dCtt-atuT3I4dMOxNQzvnD15IxmDKj6ap4,6942
fairness/data/preprocessed/two-gaussians_0.95_original.csv,sha256=S6Iqg0GG6dCtt-atuT3I4dMOxNQzvnD15IxmDKj6ap4,6942
fairness/data/preprocessed/two-gaussians_0.99_categorical-binsensitive.csv,sha256=34pCIpReT7kPxtLim3LJVPXfBmEoX5d6eIEB8HtMn-A,4715
fairness/data/preprocessed/two-gaussians_0.99_numerical-binsensitive.csv,sha256=34pCIpReT7kPxtLim3LJVPXfBmEoX5d6eIEB8HtMn-A,4715
fairness/data/preprocessed/two-gaussians_0.99_numerical.csv,sha256=RPdfpHiE12GEw0dITgczoeHZnnG6tCaYHZutAlxEkj4,6915
fairness/data/preprocessed/two-gaussians_0.99_original.csv,sha256=RPdfpHiE12GEw0dITgczoeHZnnG6tCaYHZutAlxEkj4,6915
fairness/data/preprocessed/two-gaussians_0.9_categorical-binsensitive.csv,sha256=wE_oBsUgafmnGX6KNM6DdWyvwWxdFBgEI_QCbqDTGYU,4724
fairness/data/preprocessed/two-gaussians_0.9_numerical-binsensitive.csv,sha256=wE_oBsUgafmnGX6KNM6DdWyvwWxdFBgEI_QCbqDTGYU,4724
fairness/data/preprocessed/two-gaussians_0.9_numerical.csv,sha256=PmyqBOVpjSg-eJhPJLVUWFk4pEs80U_EclWx9DkfNlY,6924
fairness/data/preprocessed/two-gaussians_0.9_original.csv,sha256=PmyqBOVpjSg-eJhPJLVUWFk4pEs80U_EclWx9DkfNlY,6924
fairness/data/preprocessed/two-gaussians_categorical-binsensitive.csv,sha256=TKaO92rjrJhuZHC-KfL0nd6MlkfsX6IEQx38VJN6igo,4754
fairness/data/preprocessed/two-gaussians_numerical-binsensitive.csv,sha256=TKaO92rjrJhuZHC-KfL0nd6MlkfsX6IEQx38VJN6igo,4754
fairness/data/preprocessed/two-gaussians_numerical.csv,sha256=4VjaW3uwSed4bbH4A1CnB9cwmbL2D0zvs8CWFQk6daw,6954
fairness/data/preprocessed/two-gaussians_original.csv,sha256=4VjaW3uwSed4bbH4A1CnB9cwmbL2D0zvs8CWFQk6daw,6954
fairness/data/raw/adult.csv,sha256=wwzh5VqWWwSVAyGHDbdMGfSqQ3EgppLzLnL2pPoxxBg,3518615
fairness/data/raw/german.csv,sha256=UyCCcRqOxN9lz2B3XrfVnTpeNFjFqIaVYwvv_Zbf_4Y,80059
fairness/data/raw/german.txt,sha256=wMlXa3lxDWKqjgcBy7nMAuhtOzVNXsmXreh1xmwy1G4,4681
fairness/data/raw/propublica-recidivism.csv,sha256=xFHbhZCLL3_vHYMgO-32tx7NoNWvRo2CrmIXj5HQzH0,2546489
fairness/data/raw/propublica-violent-recidivism.csv,sha256=kY4hi6GB1NuKcmaXfSPKel7PG8fV3v17Lye_PL2XY-M,1603205
fairness/data/raw/ricci.csv,sha256=9vfrZsiPXsBHyBzQ0b9oU2mIw4uSEnFcMxCfHwhZKyk,3320
fairness/data/raw/ricci.txt,sha256=PsUu2VT9kwdwo_ImHP_0FG2VefZsyilaQpK_jubAPsE,3260
fairness/metrics/Accuracy.py,sha256=JTrHTXXDl_t1sX6CNSWtNiUM-2rvwRSGgE-DVK7t5hw,379
fairness/metrics/Average.py,sha256=_XCyeL-nEHEhgJOOQmZNCZ54kh53iKFq1UEFl5L3bSk,1013
fairness/metrics/BCR.py,sha256=i1yN62EXiy0csMBO4Aiq9C7dfWkpEgn9jW4YmUqzVGc,758
fairness/metrics/CV.py,sha256=_7TUwMWKi3Wu9diLgr_Lp6YqusDv822aoMyXEhJTzXw,830
fairness/metrics/CalibrationNeg.py,sha256=N0hyqDVxFCPvKATXJkJ1zrvvcET7pKs21DL8qaY92XI,797
fairness/metrics/CalibrationPos.py,sha256=0iTNgKMNrfuy8NtYXi22plPEBVa1aI0IpCLIcGNujxU,797
fairness/metrics/DIAvgAll.py,sha256=bOWygUf7CDX4ieuQ6sFOGy01d89r4B6z0W_I88W5Xs4,2030
fairness/metrics/DIBinary.py,sha256=HxYEXK_FRgIVlZmFQqG5ZnWjFRlXLJOsI6JMx29b9Po,1387
fairness/metrics/Diff.py,sha256=zil7i0rZw5jbQsaDsNIZ6KHYrbmqXFZcojcRkDnriIc,1107
fairness/metrics/EqOppo_fn_diff.py,sha256=P-QwMvDUIQ5tPysMwJnfKTeomTypBgMmwjLuvPWOLic,767
fairness/metrics/EqOppo_fn_ratio.py,sha256=q8j_dG2l69fG2VzW1Jdp2E5zrl2Uc6r75SWNLIhD2j4,885
fairness/metrics/EqOppo_fp_diff.py,sha256=nb9KGRenWemsatjJyIH-fiX7I-nxGjnaABIwW00wVkQ,770
fairness/metrics/EqOppo_fp_ratio.py,sha256=gwPZzTUDRbUqq-Wrk4tAYuwxWjQsLuxyzZ5Orgl4fYk,887
fairness/metrics/FNR.py,sha256=1E6yGcz06HbK54rhIW4L7ji1fBujlgmGNiXNQWGcqQI,515
fairness/metrics/FPR.py,sha256=pj-Y06M52iz2zmQMJuC2jOgRuaySlMu1SsJDVtmoflc,515
fairness/metrics/FilterSensitive.py,sha256=g9G4nEGiheXvhMdAN2vsMlbpmYfoc5VJHBhWTcZp3tk,1945
fairness/metrics/MCC.py,sha256=27c7N_UDlI0mUMytAS2xb558GOrklN9m4hg_H9_F02k,375
fairness/metrics/Metric.py,sha256=CPyqBWstGo72nh5zire5sPTQCGLszZWGm1zmAsffAJM,2430
fairness/metrics/Ratio.py,sha256=koKagJXM0iOagPB1CMDKvrWuMeBnrdMOEBvxq5rOEZU,1263
fairness/metrics/SensitiveMetric.py,sha256=7O1qiTxhGalU1pvU7NHxnc26nf6OESOAaCcehMGtq1Y,5176
fairness/metrics/TNR.py,sha256=-vG9bacoVssVKGygVgZLkicdI4bE0akbZquLcVZv1iE,972
fairness/metrics/TPR.py,sha256=bUqGVwbXpfLXVd9jAKB-JCeqxEQXe0lDwNyxXfLuXVo,530
fairness/metrics/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fairness/metrics/list.py,sha256=7Yo0vSRrQ1eQNwzdBxfPWZ9qtkm_xWw8wHKZ_k8jcU0,1653
fairness/metrics/utils.py,sha256=AknRLyIPGOXSlvA93FHQfLq30Wph61P0B_Pe_YMJy-U,3218
fairness_cscheid-0.1.7.dist-info/AUTHORS.txt,sha256=kwZv17hyYQ71bgLkCEk3K2g6aK6BYWfy8IsSynvqJyM,69
fairness_cscheid-0.1.7.dist-info/LICENSE.txt,sha256=0-r-q2jZRw35a2ZBPfKVY2U7D-FWEx8AfMnPMZLjic0,11500
fairness_cscheid-0.1.7.dist-info/METADATA,sha256=T09ODc7AusV5y7PT7vd3efOEIACOLIPFSuiQJ2TFJjc,2695
fairness_cscheid-0.1.7.dist-info/WHEEL,sha256=_NOXIqFgOaYmlm9RJLPQZ13BJuEIrp5jx5ptRD5uh3Y,92
fairness_cscheid-0.1.7.dist-info/top_level.txt,sha256=aiwtZyiV8OFDYEmKL7Ek8new74jrVcz_YxsgwVNvu18,9
fairness_cscheid-0.1.7.dist-info/RECORD,,
