sklvq/__init__.py,sha256=Q_Sg6k2f86UbEt1wvoaSQt1BD9pb4TfPFNWi5_IxHMY,128
sklvq/_utils.py,sha256=hyULi2_35jbI-2Fu3mPs51gDlWecZKugT97X_LP4ZqM,2152
sklvq/_version.py,sha256=YvuYzWnKtqBb-IqG8HAu-nhIYAsgj9Vmc_b9o7vO-js,22
sklvq/activations/__init__.py,sha256=g6KBQrbpKrgv7mfMFDYFKtCRULXY5r5QKIsj6X-SxEU,499
sklvq/activations/_base.py,sha256=wvV6u6CU-Rxu-tUV6jhEV2q3A5aQfGpp6qXzx5HVKmw,1314
sklvq/activations/_identity.py,sha256=O1hRKj0MhWEBn1zIzMuCRK-a98x6Rtt7ItVDLeR1pxs,1083
sklvq/activations/_sigmoid.py,sha256=2kiBesjWMifNGE54QdYeFTnkYw7PcJJC-kiFx0Xok40,2056
sklvq/activations/_soft_plus.py,sha256=CM59xfZqCJlzdg5UyfTe7EMQFcdZf9RhBjBulPnaIQQ,1996
sklvq/activations/_swish.py,sha256=z0j3jEEF3tuygwoG_45v_yXLnWY-2cOV19ZR9pKwTlg,2302
sklvq/activations/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sklvq/activations/tests/test_common.py,sha256=YK6Ns0jTu298aZkbIJ_ph18J3YiyMj6-ONeqXWyIcuI,547
sklvq/activations/tests/test_identity.py,sha256=lYkv4DfrgdVi1g5o0OjBHolUqK5SZf1OPivbVQlxpQg,440
sklvq/activations/tests/test_sigmoid.py,sha256=ZT6cOY-UumfrVb6KJPnAx1bj7ys2eZunMWJHc4x8kac,1362
sklvq/activations/tests/test_soft_plus.py,sha256=RnyxcPwtna-9KUB-NZaA-3zwAZOQ81cgrlkt2Z1jnnY,1227
sklvq/activations/tests/test_swish.py,sha256=k-oRje556W9bzAzOr-2fYlLOf3zwZBVnOi6CZBleBJY,1436
sklvq/discriminants/__init__.py,sha256=3DurYAG67FlU6g3LhgclXDJZmwz8CmcPSNJR01AX0TU,388
sklvq/discriminants/_base.py,sha256=aiD8dYk4WqjzJkg1np1TPERkjzSYXjKrNch4gVEGJNg,2183
sklvq/discriminants/_relative_distance.py,sha256=ifu-BnlFtENKqc7E1nqjT4g2c_VlPlM7TCJaMvA7H88,3735
sklvq/discriminants/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sklvq/discriminants/tests/test_common.py,sha256=Bo1MYqpmHWUEeG9ZpRN3lKSlGLqgo6Wo8bQqpQitB7Q,604
sklvq/discriminants/tests/test_relative_distance.py,sha256=46ICAeUj6D5G75fZOFZGDAC6HntonbSMtyZ-Y1WCR48,847
sklvq/distances/__init__.py,sha256=29MW5VdV71csFAG6RuxAFIUwXDFCPBV0WMsWLxDg7fs,651
sklvq/distances/_adaptive_squared_euclidean.py,sha256=ddmMUMLhKIzsebO6_8gXsgT4wf2yv99xMJv4ajHCF3I,5738
sklvq/distances/_base.py,sha256=ycU1CpTgriNLXB8Iei0nCFMuPziR_2t_0FP2HyMm_EA,2310
sklvq/distances/_euclidean.py,sha256=kqhB8jJ2oHhhmnV_532-8140ZjzDIn5e9wK1wfVyyBc,3457
sklvq/distances/_local_adaptive_squared_euclidean.py,sha256=Mxq9COt6Um8KpJSdZ8iGL9fImQvlD8WqAjxPB0d8KEo,5929
sklvq/distances/_squared_euclidean.py,sha256=8H746RNAq-lx-S_QNVopmeEJJ_g7DEhpNvXNuhRmqzw,3134
sklvq/distances/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sklvq/distances/tests/test_adaptive_squared_euclidean.py,sha256=PFo63LSazkYJOX-5fxX6bucPCQf2pxGFZT138f_evUk,1229
sklvq/distances/tests/test_common.py,sha256=FUYjFBhOut25M-FYtr_ePR0G4FbF4SuUBGO8Z5Mhxwg,1820
sklvq/distances/tests/test_euclidean.py,sha256=joXDEz3-Wm0vNsboWF9G_ILHIxqoIZ7DkweSZaAP7PI,775
sklvq/distances/tests/test_local_adaptive_squared_euclidean.py,sha256=mUIxj9W_hwrOs8mtWDBq7Nk40hKNZY3ugAdvI6CQ0ww,2490
sklvq/distances/tests/test_squared_euclidean.py,sha256=HA8_9tsLtl47myjwgFloB7db8YCK_c4m3opuFxycCsg,806
sklvq/models/__init__.py,sha256=TIc-Pl3NMbUipI_FVl3TDfQsyMY7WE3UIOj2g6w-hHs,165
sklvq/models/_base.py,sha256=MU-eIGE960POqp-nnjhsVc7-wPDin_NBGZwd2Wg50WA,25995
sklvq/models/_glvq.py,sha256=XjYh6mmVamwBxLd0LNjomwuKKJaFCxgmR5JnklVSBtI,12003
sklvq/models/_gmlvq.py,sha256=wx0shsyq5czw68gv-rcPJp5urDTpGR6DEG6Dya4EEJo,22532
sklvq/models/_lgmlvq.py,sha256=Egfs-ZoJyaXKSZiYIFHACXo0DcuTftIpLx_hxjR_NnM,24802
sklvq/models/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sklvq/models/tests/test_common.py,sha256=hCnMZHJ-vb_zJniPO1M73VCDMFUTGJKl_2Mc6flXn9g,4014
sklvq/models/tests/test_glvq.py,sha256=wHXWXq-UdeHCECfKEEFeQEfafbED4B4nGsY7f4ct_SM,2572
sklvq/models/tests/test_gmlq.py,sha256=lT1b6ONfvPOLsXtKqxAaV0zVccV8NdOrm5Ela6sEJu8,2265
sklvq/models/tests/test_lgmlvq.py,sha256=h2-COohn439YiMaWp8HF_GYxrlnen1gTZ-s7okZJlkQ,2858
sklvq/objectives/__init__.py,sha256=DqERZ6EUHas35IQNZFyxX9vvet4i-Qqq8KbG45Ekzw0,178
sklvq/objectives/_base.py,sha256=lgwEoa4CpM8ssriog3H5yX-QcAZrrepDpOrOgCFZwHg,1937
sklvq/objectives/_generalized_learning_objective.py,sha256=NMiyIQ-0TQBwOG2GWXlhvlhjpUsDvSvr1adLOzLbZ1o,10270
sklvq/objectives/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sklvq/solvers/__init__.py,sha256=jwx-02JpEiq_wcasirfw_2po0wb5xq1DfF6k3O8PxMM,1038
sklvq/solvers/_adaptive_moment_estimation.py,sha256=cIlRVqSPFLP-PZy3jIKH-I3W1F_WBo1auFMUWyVKGT0,7965
sklvq/solvers/_base.py,sha256=8rg1-cFfUyE0MkSBIfGjFwsFQzPc4Hnt21CN73dIMbI,3347
sklvq/solvers/_broyden_fletcher_goldfarb_shanno.py,sha256=yERxYirL0Yh1xCp2bI4p8Uu4XJRSkBpfgHslaM8mkO4,884
sklvq/solvers/_limited_memory_bfgs.py,sha256=Qr_l41P_ZS7IDshrISydE1ljHJz38T5rJR0Ls8jksQ0,835
sklvq/solvers/_steepest_gradient_descent.py,sha256=5HJZvQ8fozmJJh4LfX09UxMZfObl2JLju78Jkv0Nc3Q,8207
sklvq/solvers/_waypoint_gradient_descent.py,sha256=HReLCWtU-Z45UJzG7IOZ_mJv-v6tOtucpi2APCbcVwo,11070
sklvq/solvers/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sklvq/solvers/tests/test_adaptive_moment_estimation.py,sha256=EDxzzgdVl70QPAHP2bPVhhIqN3Q-lHjMB0TB55Vx3zo,1359
sklvq/solvers/tests/test_common.py,sha256=4Hmf6CWSxBFCIFSst5xGPwvkTgcrUQYOppRS2blEi4c,2275
sklvq/solvers/tests/test_steepest_gradient_descent.py,sha256=L32mZdvwKfvt0wkxtRUo0DgzpsV8e0aVQ2JNNGJyS4o,1326
sklvq/solvers/tests/test_waypoint_gradient_descent.py,sha256=1iu3sJtqdVg5w8vf7jL5zh876FDx17J6dzHVTvVVANQ,1342
sklvq/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
sklvq/tests/test_common.py,sha256=G2iJk3C_Q9IkzA-9Livv9-EpxS05Zpgi6JczWNuwR7M,516
sklvq-0.1.2.dist-info/LICENSE,sha256=Ga6RhpRBtHA0YGHNm6wq_3rFgyIfIwO1bjLGYZZyWC0,1521
sklvq-0.1.2.dist-info/METADATA,sha256=cR_qWIZMPtnIPIFCETu3UeeEfNVkdkdHQAUluHDiU3c,3100
sklvq-0.1.2.dist-info/WHEEL,sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA,92
sklvq-0.1.2.dist-info/top_level.txt,sha256=iEBEIgnVQo-9bglYXKkqNhgOO6XoVcdxN0MNOBPv0Nc,6
sklvq-0.1.2.dist-info/RECORD,,
