Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/.buildinfo,sha256=1GU8VsG2_M5n8e7_oElwXi8HYnCO2Z4iLfUmr_RBQJM,234
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/genindex.html,sha256=F0X3NnWrMYL7y-YDBG6vrelNkvbq-5REIL52GNF3JGs,4404
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/index.html,sha256=cgpnfKkY8Y2HXJ0O338a6K8IaZDzxYz8mRoWZ5pj27Y,6184
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/objects.inv,sha256=mL_wKhOhQY1Ng6RItOWwJEEPehZ198gAAEvVXW85vNc,440
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/search.html,sha256=Mx_6ty7v5LJKEo-2NQK1zuKoHq69kZSgOGHBbYU-dHM,4818
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/searchindex.js,sha256=GRYflbkCQTPnapSGsQfCXoB5B_52ujZMg9GJCzzRCFs,6226
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_images/adversarial-debiasing-example.png,sha256=vtCL_4bskTYXhRGadpRGVlLOrwmwJILYtan8_KGixfc,102567
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_images/adversarial-debiasing-no-tensorflow.png,sha256=WyTgQAxNE6ac3HImuZO3EiBOoePIVHyp9Dus7ZuBPMo,33991
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_images/adversarial-debiasing.png,sha256=9LM7hDUWfLj3jHDTCyUBIilrnRZX4BbVHTrffoWXfps,20224
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_images/as-fairness-data-example.png,sha256=NanWio7ZAWu3t6Ed5WPVAp0lE2nJzVx5fm0jdxtv2MA,65667
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_images/as-fairness-data.png,sha256=LK6TSlbdc9lz9AZstBCgsU-otE9VsF4e5slMW93GJnc,19391
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_images/dataset-bias-example.png,sha256=0v5r2O84rSm-oo_Y4RKK-xNQ_glLNalcbBJnG1kLjh8,57904
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_images/dataset-bias.png,sha256=6FXDgNFIGCgEsQD8Hu6ulDVItz0xNQ1_49rcRqWNE28,12364
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_images/equal-odds-postprocessing-example.png,sha256=kzfhYmBANYS4d4kgRToHDw8tJJIooZe6PpouT4X44l8,99567
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_images/reweighing-dataset-example.png,sha256=nmzK5gxnxVWEiI4NkWVn0b93fuO--OT3Cwksj5pkvmg,164547
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_images/reweighing-preprocessor-example.png,sha256=0Y3S2lWibFzcism2UbSjZ0UTUDZp9D4acZC_f-ww0SU,103655
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_sources/index.rst.txt,sha256=F2ARj-4q8YWgZ7IuKOo9FD2Q_Dv9osja-ARhSzns59c,375
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_sources/widgets/adversarial-debiasing.md.txt,sha256=CAIZhs2ooko1HgNb8GAcibTyWIFue319RHXqd4C-W60,2123
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_sources/widgets/as-fairness.md.txt,sha256=UZlcxZheItr7t_ODX9HWhEvrpKho7TeMGZ46alxFwQg,1386
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_sources/widgets/combine-preprocessors.md.txt,sha256=R2OXKGKXxWV39TljIdMWekyX1skxEYhOfVJ9dxT1WYk,885
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_sources/widgets/dataset-bias.md.txt,sha256=Fi0bgEEteOsHkX4MurzNDFX5ouPtQlmnprNkDgAfALA,1463
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_sources/widgets/equalized-odds-postprocessing.md.txt,sha256=u_0UHiQFFGM75AL5ctvcc6Fc2CIfBpZlIvne_CZy5WQ,1303
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_sources/widgets/reweighing.md.txt,sha256=y0YFC1Z-6v743OnJVX7v8sRA9x3j5caO8bZK6AaVLss,2670
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_sources/widgets/weighted-logistic-regression.md.txt,sha256=kR21ud4u7oQbj6PmCDecYIH2s-_Qk9abeNZjUEPKdWg,1374
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/_sphinx_javascript_frameworks_compat.js,sha256=SAosc3clLBShG8pNOknfoW6lQKmY-mN_rgGJruG4kRM,4289
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/basic.css,sha256=UlGoEkxhpLN6oKfcLe1kIuDoKW-FT21fpZuKjeKm5dk,16018
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/custom.css,sha256=MJN7TiClVDXhboJOU5vjARslAcPIAy-zscDAMRIvjOA,551
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/doctools.js,sha256=PWK4H2OwQYo5qPWjIyA9iN2vyMUib4bTEZcAJdhte2w,4472
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/documentation_options.js,sha256=hyMEcZPC40XPpT90vKG1tUmiNJyv492qA4pHOJRWFtg,335
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/file.png,sha256=XEvJoWrr84xLlQ9ZuOUByjZJUyjLnrYiIYvOkGSjXj4,286
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/jquery.js,sha256=_xUj-3OJU5yExlq6GSYGSHk7tPXikynS7ogEvDej_m4,89501
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/language_data.js,sha256=qInd3BNubjLblTxFiGGOzZ1IK_H7rOMWj1AIu4aMM-c,4957
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/minus.png,sha256=R-f8UNs2mfHKQc6aL_ogLADF0dUYDFX2K6hZsb1swAg,90
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/plus.png,sha256=VBFRmblqEwy6AhR8R8DetD3Mm58ItRYruoZCs0mArGM,90
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/pygments.css,sha256=DgUJ36vDxEt3r0T7AvUzwp5bippLlpnRon3w9Jh2zbk,5003
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/searchtools.js,sha256=MBKlIcpMMsVpOa9qZ-T0uPX7gMKVLhnL8vy9aXxLs30,18732
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/sphinx_highlight.js,sha256=CWIx6ch9-A7DJz2pxbcbyBUDIGcmoHpN1N5Ewlb_hZw,5123
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/badge_only.css,sha256=PruKfEqwdDMOwMJKm8syts7RxetFvn7zS3kZOGQzeGU,3229
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/theme.css,sha256=05GuAG_9VnVMfWcICoADL3_o6B5_Lil62TvPfO9q-p4,135314
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/Roboto-Slab-Bold.woff,sha256=n-yHytviQTslXx7Fd1c6g_HKLhw3qgI9vrzTp7hkY2o,87624
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/Roboto-Slab-Bold.woff2,sha256=GgwCTdGiZ8UtVXVGn_6FcNHoQWTefTk880FLr9F9egw,67312
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/Roboto-Slab-Regular.woff,sha256=nzJjDiwMUTW_HobjbLZbOTLkQQZEI1vCvZlenH9v8Rc,86288
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/Roboto-Slab-Regular.woff2,sha256=h05CIihW168Ds_Q40h2SOkKA1H_mfEhRDiF0oVeXle8,66444
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/fontawesome-webfont.eot,sha256=e_yrbbmdXPvxcFygU23ceFhUMsxfpBu9etDwCQM7KXk,165742
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/fontawesome-webfont.svg,sha256=rWFXkmwWIrpOHQPUePFUE2hSS_xG9R5C_g2UX37zI-Q,444379
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/fontawesome-webfont.ttf,sha256=qljzPyOaD7AvXHpsRcBD16msmgkzNYBmlOzW1O3A1qg,165548
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/fontawesome-webfont.woff,sha256=ugxZ3rVFD1y0Gz-TYJ7i0NmVQVh33foiPoqKdTNHTwc,98024
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/fontawesome-webfont.woff2,sha256=Kt78vAQefRj88tQXh53FoJmXqmTWdbejxLbOM9oT8_4,77160
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/lato-bold-italic.woff,sha256=mAyFkuVIjfJWGSyZnpLbj9MC24zYkJt_omamhON-Rfg,323344
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/lato-bold-italic.woff2,sha256=wJFqMzQNBj97BWeeCAMecp0YiERHBvBIBHBdpZZtiV0,193308
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/lato-bold.woff,sha256=DlaxfRQus2bIAHAx0U402kjHC0qdmgykkuaWp7rkXh4,309728
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/lato-bold.woff2,sha256=roj8DXqWGDL4CVJ9ML05g6aGbUL2alat4j9UNoFZTbY,184912
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/lato-normal-italic.woff,sha256=JjGKFGel5crxCwTPqULQeWMlYM16Kc7FZf0dyffsUIE,328412
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/lato-normal-italic.woff2,sha256=RGV2Xy9u3c2tNP_XyrVZ5WvA515F4ZL4XpVisHcUgdw,195704
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/lato-normal.woff,sha256=W5Al3aTXaI4zEbDBft3FARM7gH3vM-_672WThDz1QW4,309192
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/css/fonts/lato-normal.woff2,sha256=mDsMrzNuhUIhT8FwGaT8XgNghkuSgGyhTVXB_BwsWg8,182708
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/js/badge_only.js,sha256=8KSAjQTE1VN4dRrAlqg3a2SxpwTIJYSw7lkCEs9BMBM,934
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/js/html5shiv-printshiv.min.js,sha256=tCp-lJpuIdZrMPu7SiLer9ngzKvATw-ikH_GJS_fFl8,4370
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/js/html5shiv.min.js,sha256=9uAoNWHdszsUDhSXf_rVcWOqKPfi5_8V5R4UdbZle2A,2734
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/_static/js/theme.js,sha256=U2rS10bpRMVXDMFbra7Mw8BYKhtm5FUR_k7c4yttpRA,5023
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/widgets/adversarial-debiasing.html,sha256=t4QN3UtMHvmbJy7xvPDQE6bIKer_nuPnjYOj1FJy3FU,8968
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/widgets/as-fairness.html,sha256=Jk-iseJrsIWbE_TzBuQ5mnQMdFdx87PtZOj_sxTbPzU,8542
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/widgets/combine-preprocessors.html,sha256=BmLjiH14JfjMXrFEPKd8IDfJJ024MwQkV5mwerJH5F4,6419
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/widgets/dataset-bias.html,sha256=LjG0O9bR_8XYVek8pGXj2R_Y6p_daDE8CqdtkD0Sf3Q,7253
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/widgets/equalized-odds-postprocessing.html,sha256=q40oAgr5O0JQl9wC_QnHmmxBHnwKfs4_NH79CpZl2c4,7702
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/widgets/reweighing.html,sha256=cRpoyiG-3yhmdbliMJ4XXHSO_KH8rx63VjVPQxHw_fI,9668
Orange3_Fairness-0.1.7.data/data/help/orange3-fairness/widgets/weighted-logistic-regression.html,sha256=f5J6Arnzw_pgJRgZdg14-oHMYuVCY8joNrVxR173g48,7701
orangecontrib/__init__.py,sha256=CgHAR0DfX805cewZEwVaF_42DujaDI4EhsPveMZBKq4,165
orangecontrib/fairness/__init__.py,sha256=8J7FnYo6R5u39yDTjU2psKaTiAqk148F9W6NJ7e6b4E,31
orangecontrib/fairness/evaluation/__init__.py,sha256=nr2RULA05MopsV2JFZc1OAKHgOJmyB5eT09jkoAMDz0,22
orangecontrib/fairness/evaluation/scoring.py,sha256=25egyOrllS_Hkca-9aHiwc-fww_gEzdWxIy_aLdzKFc,5302
orangecontrib/fairness/modeling/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
orangecontrib/fairness/modeling/adversarial.py,sha256=X0T6OSQdoS0szsrTWx94cZAsaHNcNv_SJorS7XHVzgg,7855
orangecontrib/fairness/modeling/postprocessing.py,sha256=e6eqM5e0SP3WFwhzE2YaRYmbArLYyDDl8KOnTFCtYq0,5877
orangecontrib/fairness/widgets/__init__.py,sha256=lmg2qM65sK_FmaDU4iVbD19hqoOnMLVXqyR-XKS6iso,1085
orangecontrib/fairness/widgets/owadversarialdebiasing.py,sha256=Nt4EZz4Qu1DH4pPw3lJNEupeqVnfFrs41gw11-AVuZc,11954
orangecontrib/fairness/widgets/owasfairness.py,sha256=pjnpaXYLT9uzx07KIlSRdM2lS6bKso8TmB75UVIfxek,16372
orangecontrib/fairness/widgets/owcombinepreprocessors.py,sha256=pQXICCfb6nMwqxqmyPrcGKp179P5v0VrrwBayGX-XuI,2298
orangecontrib/fairness/widgets/owdatasetbias.py,sha256=vDVCyqyozC5IXv19NMVbIgKGFNX5rmOx_FW-KYjd85I,3741
orangecontrib/fairness/widgets/owequalizedodds.py,sha256=gvr4latrkrflS6t1I-34kkNHTynq_fh1o9VPvKoIk-0,6199
orangecontrib/fairness/widgets/owreweighing.py,sha256=U_bL8VGuP0hSl7d2P2CPhS7w5qVArWw5AaWYoioAqQM,4886
orangecontrib/fairness/widgets/owweightedlogisticregression.py,sha256=2Bg51Luvd0CX_lhQp03LaSk2oXM7WPrwmPG0czaRxeo,2215
orangecontrib/fairness/widgets/utils.py,sha256=3yClEhKeWCLx4Pfjuh6AxvpOAXgyow3sHWzlCt4EahU,14876
orangecontrib/fairness/widgets/icons/adversarial_debiasing.svg,sha256=7xDc-G4P2A049ZcN9P3xpCtV9qWgwmPI6gatL8Sgbww,5385
orangecontrib/fairness/widgets/icons/as_fairness.svg,sha256=5TQXxgxHAZDAfZ5fB1Ha-Bmarx0WTlmpW_IPW0fu7Jg,1300
orangecontrib/fairness/widgets/icons/category.svg,sha256=ePIjZusWhXqqtXL5SFLTV7dsjwEn8X3AodwnQLZDGEU,1301
orangecontrib/fairness/widgets/icons/combine_preprocessors.svg,sha256=hMpefpmoskbU26u_BnjxfxOjeShVohy08AOX5f-FzvI,903
orangecontrib/fairness/widgets/icons/dataset_bias.svg,sha256=x9IOfRO_fUKr91NEtjhWOIxqm0PkWXzwkkxnwKWIhNo,485
orangecontrib/fairness/widgets/icons/eq_odds_postprocessing.svg,sha256=dRywQc3KhiosnMS7EmB1vLpiL1AlW8I1RDAi_zfFvW4,2003
orangecontrib/fairness/widgets/icons/reweighing.svg,sha256=mx2Vci6uqf6nTLINN_wPlHEyDbxipnx2g7KfniFEujs,799
orangecontrib/fairness/widgets/icons/weighted_log_reg.svg,sha256=AWvpV6T2Cm9JFj2U1RF5PxwP9CY-KgqushFyHayXoqs,614
orangecontrib/fairness/widgets/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
orangecontrib/fairness/widgets/tests/test_owadversarialdebiasing.py,sha256=BC4YNU7f4z1JVo1vNcZbWk38pZ-vVqmYWx_YI5nPmvQ,5410
orangecontrib/fairness/widgets/tests/test_owasfairness.py,sha256=TeFie0GNyVI-A4B14G9VX_8gjAAOKMePJPd_pc9fDlo,5523
orangecontrib/fairness/widgets/tests/test_owdatasetbias.py,sha256=R-HTs8oAIe8ARwGBSPd7gFhXdyfO3wExGvKTQoGz9RI,2013
orangecontrib/fairness/widgets/tests/test_owequalizedodds.py,sha256=_4ry5ynUss1xKy6ApE-TY7kMt5kwB52Kzar6P8EQOqQ,7767
orangecontrib/fairness/widgets/tests/test_owreweighing.py,sha256=Vbi0DWxEDoa4wMOJhnJGhTVH8QlqyAMqFxeUOj0T-3A,4841
orangecontrib/fairness/widgets/tests/utils.py,sha256=x8ZSvqQ8XQtEpTLO0KtD8LyqCLwG0wFIpkPmxn27bE0,1323
Orange3_Fairness-0.1.7.dist-info/LICENSE,sha256=IwGE9guuL-ryRPEKi6wFPI_zOhg7zDZbTYuHbSt_SAk,35823
Orange3_Fairness-0.1.7.dist-info/METADATA,sha256=zFd0TUAcmmhvT5aZLcdrjbTlENJ8pUNWnVBT1ZWECs8,1550
Orange3_Fairness-0.1.7.dist-info/WHEEL,sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM,92
Orange3_Fairness-0.1.7.dist-info/entry_points.txt,sha256=bZ85_EOUh7-bPeDeJNwh64K69QUZq0e7gDV_FivOG2s,201
Orange3_Fairness-0.1.7.dist-info/top_level.txt,sha256=Iut-JTfT11SZHHm77_ZeszD7pZDWXcTweCbvrJpqDyQ,14
Orange3_Fairness-0.1.7.dist-info/RECORD,,
