edward/__init__.py,sha256=yFgbWkTKNwCosQhqS3qC9sJfKSWj2kfqdtA2KbE0swc,1084
edward/version.py,sha256=P2DFKJQEJRlJhF0IW0Lwt4G4uMYyJJ5ymhv-XrCcPGo,22
edward/criticisms/__init__.py,sha256=4TZTS8srFjRYp4ORadnw9Wqf0AKg0akLNGnA94iOhhg,229
edward/criticisms/evaluate.py,sha256=sMoze4K2SOlwUweboh0zl_Nuf1ZmxiRzChaezpGtLFs,13398
edward/criticisms/ppc.py,sha256=h1tf5RftPWdSvnStPGxyaAXCl444nogs8B98uQVWDgc,4211
edward/criticisms/ppc_plots.py,sha256=1h5CpTIFk3l3ar77_qBvsmno92Vrm0yCbBW4EBi5ucE,1703
edward/inferences/__init__.py,sha256=-1Z-_oPAVKsEFjzPaqZbZadYqtPG8T9s0wpus8hZnso,849
edward/inferences/bigan_inference.py,sha256=CNzju_FSf_k-2kc_cunWxyrRYK6aY-82D2lmEWtShZo,3093
edward/inferences/gan_inference.py,sha256=Vyg6EsU_W4MFJ97d3uu5BuEggRj1A2w1gGFH_8MmNSI,8686
edward/inferences/gibbs.py,sha256=twq2mqJlOHMWpfB42Ix5yCfoC640aG7RGN1sldF8vf4,4936
edward/inferences/hierarchical_klqp.py,sha256=DHJKof_KxnqqxBTW6dHBo8SHzdWdE2vTkJ7UAr4F6G8,1940
edward/inferences/hmc.py,sha256=mzP0cbaWMpDFf_3qwEcXe5mj6XC2SdLmM0Z9RKDmNTc,5987
edward/inferences/implicit_klqp.py,sha256=TGNnbxnfT7ub_rmIt-jxHgllGSwiCBEuUwAK8N5gPQA,9069
edward/inferences/inference.py,sha256=UFoNdiNLg4tG_6bdQ6S_esRzaKsZbnBArqZ9_onpkbo,8777
edward/inferences/klpq.py,sha256=ZhuSzaC92S_XHoreoar2OPt5naKw4Uu91vYP0MNCLgM,4275
edward/inferences/klqp.py,sha256=QKIu7jVAFE7q5tDXcwPcM6hd69EJtz3PTxr8ZE55M7A,22181
edward/inferences/laplace.py,sha256=oi8aI6Z6NqZFAJNB8_0eshDeXQqSrrJuKgLaBx-AT2w,4870
edward/inferences/map.py,sha256=s8yWV7k5xhc-K83WjM9X8i0a5_J3OtjP6iEBEnMYsQ4,4504
edward/inferences/metropolis_hastings.py,sha256=qALtZhl7nM6qiCZ-DooCSQgT9KuTN3K_S8saoJHk6mE,5694
edward/inferences/monte_carlo.py,sha256=vHaB05ntOvwBUFp9HHkgXxSf_HbaUvSuKfVyEHUD28Q,5846
edward/inferences/sghmc.py,sha256=uvSGd2FsSecKOOQPvkQB8Oyx69cOAkl9Cgs0Dy2ASw4,4962
edward/inferences/sgld.py,sha256=VEcYowPVICM7wMwV8MJuvjVWdqS11vK7332DzBzcAvI,4282
edward/inferences/variational_inference.py,sha256=yuCJZ83blKTYFDdZW_Pj8bgSicNSLRJ7WC_PFM-0OBA,6227
edward/inferences/wgan_inference.py,sha256=HMm7ouWvRL8Nv-nZ7rQQvKWDxG9w5wPlg7L02DxenbE,2651
edward/inferences/conjugacy/__init__.py,sha256=wp5r45RpXV0hqbjy5GDZFeBE1UinU4IQRZZMYsTzN5s,162
edward/inferences/conjugacy/conjugacy.py,sha256=KnqWq7EGGpZhWB4-6OpUL_UkDAkXWmrMWTOAPcq0ke4,10454
edward/inferences/conjugacy/conjugate_log_probs.py,sha256=pN2vrZx0Do8qsPTWXNkXmDnyp0uJmn4U7Pi52msboCU,4769
edward/inferences/conjugacy/simplify.py,sha256=tzF768OFlLkM-Et0jm80y2wlDAtpxseYwsXE2z3Vv_0,7883
edward/models/__init__.py,sha256=y4p8ido6_mv0JdYfa3ikmhLr11-of4w6qJqNlIBqILc,364
edward/models/dirichlet_process.py,sha256=nC-muagei9B0NWTd4xz3CVl8MUGpLrbA42JK09DQ3H8,8217
edward/models/empirical.py,sha256=uGCv_FG1pDGUDBMj28oEZWFxNX8pGjlFgxSPqwTaLzY,3128
edward/models/param_mixture.py,sha256=G8wY4c5ovYEMleyuzmDfPPJNf0OyanUgHeeSPU40PMo,9846
edward/models/point_mass.py,sha256=K-P_b1WCONHVNDBGzqy2N32Kr0xHcp1m0gt-FSLBoMM,2572
edward/models/random_variable.py,sha256=Zf59tJmGIVXxEqaPpuH6H8lhHJmq0Go8V6FtPhKtpP0,12300
edward/models/random_variables.py,sha256=bVeqe74R5iUbaePONwaFBbzB420lzpiL2PnI8UbiFiw,1214
edward/util/__init__.py,sha256=u3GBiLTGynSRn1xgVldLMh03cmK_HlQD7-3YKqfEqjE,257
edward/util/graphs.py,sha256=FnfXimt7iTcCVV6e33KJKFwWmwfmreMnKE7zDjr5DSk,1645
edward/util/progbar.py,sha256=BDnvUalVUxWcBLQhngqNgPAySDuVMF0oO8q_n3SKrvk,3183
edward/util/random_variables.py,sha256=GP_IQ1atoyDMh1DCuvX7v2YKAzWwRIavOUIQlMtOQ8Y,21550
edward/util/tensorflow.py,sha256=ubbb9opRXeG4YH7z0tOiFAdYA-OUo4zrar-qWruofoM,6739
edward-1.3.1.dist-info/DESCRIPTION.rst,sha256=OCTuuN6LcWulhHS3d5rfjdsQtW22n7HENFRh6jC6ego,10
edward-1.3.1.dist-info/METADATA,sha256=OQAwyEBiZ2VM8rCdWmvBxtX39n7m5nhf_BItPQDuYIU,1496
edward-1.3.1.dist-info/RECORD,,
edward-1.3.1.dist-info/WHEEL,sha256=u6Fy2U76CDFJ6q2P27rqtBo3AN6qpylFiMaYzNr2lJg,95
edward-1.3.1.dist-info/metadata.json,sha256=Y09_PCyivkdbpzOGE6Q3SspU1lXTvjiWxd4ccPEAnwA,1554
edward-1.3.1.dist-info/top_level.txt,sha256=3uly7J59pZK9rkukJKt2ZWPxOimeBEc1WM04pu5uJjU,7
