vopy/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
vopy/confidence_region.py,sha256=wKW3_3CGabvFhaKpsthrkn2YdNTek7pUjsBEfjzYuY0,19219
vopy/design_space.py,sha256=FHo5FOkajSXgPhIDUSJKNVF1u5A2CR9PqNsudUD2Nvo,16967
vopy/maximization_problem.py,sha256=ft-gkpcpbIfhDB-1qd4crzyrjvCtxHAkKkpv82k-zcY,13851
vopy/order.py,sha256=IteX1EGNqrzZD470eE8cWVWxoxQAChc_0H2zSVec2GA,10156
vopy/ordering_cone.py,sha256=gWWSUEJ8cltqy9uUna3rWs_I3YIud4bnuxA23aBo5Qg,5797
vopy/version.py,sha256=Dg8AmJomLVpjKL6prJylOONZAPRtB86LOce7dorQS_A,704
vopy/acquisition/__init__.py,sha256=rLNcmHU6frxK6_He1kdoX4UbD_ZtV77TGv6IPZvX2v8,595
vopy/acquisition/acquisition.py,sha256=_a1F-aoscFrv7-uniMdXdMGzNcPyR2itHEEM5bIwGWQ,11916
vopy/algorithms/__init__.py,sha256=2ziMdm0tmoxb8Pmwd4R9VUPaMtzBfUFy4da0KJE2dks,678
vopy/algorithms/algorithm.py,sha256=65Jp6mq7db-bKXV2dQn62ciXh0NYEhG31M2xxJMxFpw,891
vopy/algorithms/auer.py,sha256=ScZSsvK5G0TVBJ5ZJJ8aQ7YzcHDsCoMxClKAyhA8L6I,10257
vopy/algorithms/decoupled.py,sha256=FSgVEWPYlIdR2YJo1lgPDqoBcCtuXjAMFd-hx2MLf4M,4915
vopy/algorithms/epal.py,sha256=kV60si4x60X8JXF-FJfJfhBctKnhP6MOFFTD0xEiiD8,8588
vopy/algorithms/naive_elimination.py,sha256=yMhssTZFuAw307IOzZL4D8773qC_av-8-8f7t-QEuiE,4068
vopy/algorithms/paveba.py,sha256=1pg1esGzAgamnDzij1wTNI7SMiy4K1vJ4PUsiUBct_E,8019
vopy/algorithms/paveba_gp.py,sha256=Clpf0SkXjjK8s3AD8vT6N16FVysC-G8lZok5AbcMOsU,8793
vopy/algorithms/paveba_gp_online.py,sha256=zgQOAg1aT2CMd0UxmYFLY7OKOryoHpll5hV-gSMHF7o,9787
vopy/algorithms/paveba_partial_gp.py,sha256=9mQ3lNKdhUz9ioMmBfvpm5SUv6RTTHEQYy3cTg5yvmQ,9391
vopy/algorithms/vogp.py,sha256=t_OgG8PZda1Im15yEzZuaDhHwMhQ4emopiIzVCnRL_8,10305
vopy/algorithms/vogp_ad.py,sha256=iEx8Me1sytgF3Nquwoj7plAImLsQceb7AF4ACUXfMxU,11855
vopy/datasets/__init__.py,sha256=_gbJcmh0YjC1wzgEc2yt0bxVux8IhuXkdCv-PiZNgAc,111
vopy/datasets/dataset.py,sha256=j3MbI3BTw_q2iS_1POtaYglapFSN0FA65L19Gg06LvE,5801
vopy/datasets/data/VehicleSafety.npy,sha256=z9HsIeQcfsGW9vJRLQUwf1ScQvSR5g0KdlvRoJo0MFU,32128
vopy/datasets/data/brake.npy,sha256=tioZYL5csoskBIp0MfUy4CsYnUbtuCjmMMdm8EDxY8U,6272
vopy/datasets/data/fairness.npy,sha256=mJeFXSJgtYi5r55lhrNPVD-xmYyAsYVK8hBWSLoCsbM,6528
vopy/datasets/data/sort_256.csv,sha256=m204uIKXbPZXJxCspK7lx3l5WFzFmqzsl7k5TAQJsQs,7553
vopy/datasets/data/test.npy,sha256=EjCAWyHAFOp0uXs58M5QQJDLy4avQZW7hSBK-AIIKdA,1664
vopy/models/__init__.py,sha256=nQ6gF1sH1ng512inETHcN40ROOzuRMoZWYMMz3u_sxA,1046
vopy/models/empirical_mean_var.py,sha256=_uo_zGoC8rRruoqSs3d6ad2LOQK0cFkYMYWL3Bn5la0,5038
vopy/models/gpytorch.py,sha256=X8Rjtd8Yawo8y6yrRpW6NAowHkozrZLT9Avi4GXju2E,45675
vopy/models/kernels.py,sha256=vJiTex1rQK1ptDLKOSo6XOovlL_ktFPZXxantKdhlfs,4776
vopy/models/model.py,sha256=RY9UiOLIZKStwFBt6Yc_zegwd4rO9WZIblaPQ97pygA,1454
vopy/utils/__init__.py,sha256=zU_bBcWoSGWemsXrrRhwdAHBcnhyjq0dGExtnDJ8TKc,1088
vopy/utils/evaluate.py,sha256=eFJplpxjSAEq_ZtF3mhhHUrTvy-XWtg6THZmTro6PJ8,3714
vopy/utils/plotting.py,sha256=yNaG14vpY7UTq6s_ZmAY4WmHZU2gHzT2X-oO3WWx0MM,11577
vopy/utils/seed.py,sha256=QH5KUXq_icDYNGCoyiWQFDutWB0us9ZXNip5CKp07Uo,11
vopy/utils/transforms.py,sha256=ehJxq5LZ8yau6ij5QUkXmBJU_W3PtSyT-McFIizEoxA,8267
vopy/utils/utils.py,sha256=1p8YnDGZFJEzi4XGB68oKZFq5CC9RaPju-c2m_IqtX8,21141
vopy-0.2.0.dist-info/licenses/LICENSE,sha256=KL0magymVb1Gk6LQx66Z-UT0KbV0p4TNuSE3Z_d_FcM,1124
vopy-0.2.0.dist-info/METADATA,sha256=QgtrfIn247yJaMn5MrkGQFHLnmbWVv0oxoxjQM2WkJg,5701
vopy-0.2.0.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
vopy-0.2.0.dist-info/top_level.txt,sha256=zWBzPosogooTVINs_CqD2cSzfPHF5L19zOY2hrf0y0U,5
vopy-0.2.0.dist-info/RECORD,,
