gpflow/__init__.py,sha256=X1YpqukAJCD0YYlIskxnahgt5RCvA8JAnhUsQ0BjiHU,1117
gpflow/base.py,sha256=AQJxovHDkkB8d9BZlyudwIkx4mro1_B-tsfXyCzZHlU,13238
gpflow/ci_utils.py,sha256=ryUL5NlqywT6aijW3SiC8eYCBf3tzYSeNcTkdvnkAls,1962
gpflow/kullback_leiblers.py,sha256=4r4277lOo3ElZvlSQXf7UU-8DULqMXWVFzlkG0jgJUo,5963
gpflow/logdensities.py,sha256=DLuPZRIwPTF19K6mSs0Z73ch_QD-TEF_ejIWGrWK018,3334
gpflow/mean_functions.py,sha256=ki_OCqyZWrA9NYlh-F8uEfa6iwMS2CSvDma4vfrEFKQ,5903
gpflow/probability_distributions.py,sha256=OVYbjQKobV4YbnsdxniUSbHY4L6AOrbWTk0UVWBCLTE,1806
gpflow/py.typed,sha256=bWew9mHgMy8LqMu7RuqQXFXLBxh2CRx0dUbSx-3wE48,27
gpflow/quadrature.py,sha256=0gdwt4AWUtIEAEQqyEmLJ2xzcOYvYA5229zyxw75Gks,7927
gpflow/versions.py,sha256=RifK3FTKEqc87mP4NkmEh6-HQtWpFxAmkyvoJJ0WTdM,177
gpflow/conditionals/__init__.py,sha256=i-dCZeA5vumu71Ul7IU8jJO0M9rep63xUaW0KRs-dh0,253
gpflow/conditionals/conditionals.py,sha256=0Nnr7vqfNA4KOXa7XiNfnKXyT1VKhfgm22AjS0wUmbM,4304
gpflow/conditionals/dispatch.py,sha256=L8k48BpT2Xevgw1AOsXC99Ov3naUYOPv4xDCbO9KbvY,130
gpflow/conditionals/sample_conditionals.py,sha256=Sgno79Uc_vHx3QbcPTJbZES0nklZpmhemehu1mfIVe8,2083
gpflow/conditionals/uncertain_conditionals.py,sha256=saAKI96AZVBEnXMdo78nXLe2A3e-4afBbL2GIP_SHkI,5336
gpflow/conditionals/util.py,sha256=GWIBQ28KlDASve7nKC25q5G9nnYuWM8B8AZnkYXNLCM,20427
gpflow/conditionals/multioutput/__init__.py,sha256=0Qn8uQY3ySEYsEO9ro0t_ILGJb4ZBQHJPNb9dODLvac,61
gpflow/conditionals/multioutput/conditionals.py,sha256=wCCVuyhIHngqYq-Gw9LSH-ng6bm9ESO5a2sjgShmQQE,10367
gpflow/conditionals/multioutput/sample_conditionals.py,sha256=ya0EHyZZhCQ_-6o35Ie7LK4r_ubBSc7eY_A3IROo7Zo,1838
gpflow/config/__config__.py,sha256=9SE12HlHCQe-aLtTOiey0tjyDoGPx9Bg0SRGSkF0rkM,10028
gpflow/config/__init__.py,sha256=EoFHoa0cnNAgPcyYFQPTChAWFpiB1U3krJSFOg7N2pU,26
gpflow/covariances/__init__.py,sha256=N4X9qVF6zyK0SWjYa5B01eaWIWON8ryVjxM3hw0pqpE,104
gpflow/covariances/dispatch.py,sha256=k6ps30Dbr9vPJSiIipwhm5sKnUjLYwYRGJ4zGzoZaWQ,84
gpflow/covariances/kufs.py,sha256=sAo7fXYfqSG2NMmGvYXpJkRaTb9IL0lUahWL6FQTeq0,1372
gpflow/covariances/kuus.py,sha256=zUYGyI1pr27Tg1YwdS3Wsf1RIHH8J12QsZDa3Yev7xw,1299
gpflow/covariances/multioutput/__init__.py,sha256=8TRcWe675n4bRBMXovyibqgxEefBW-Y_DhOAXbhuSbw,25
gpflow/covariances/multioutput/kufs.py,sha256=rpIYEbQqTRw9AhwENZqnSqz7KF2wgrT6PQlnBSKhBGk,3264
gpflow/covariances/multioutput/kuus.py,sha256=PYCG0SyudML50aKQB2pbcO3ZHFUmD45b_hfhwpnanZE,2692
gpflow/expectations/__init__.py,sha256=UPiYtyfkNX6OsHN3KW6r3YMKhHkhqE-VEYzmSgs4Z5s,263
gpflow/expectations/cross_kernels.py,sha256=JWwSG47uuoBzu1lHjsGVZQrQjSy0aUHL1z5VAwTuTzU,3955
gpflow/expectations/dispatch.py,sha256=HopmD5yMJ-4w1alfAnUvsmFEqZCrlexBzlnA_kYe7s4,202
gpflow/expectations/expectations.py,sha256=Qpqv1zM7dg9XspDZzD5Y0G94HOu04xRhaPKSjvp7SfI,3823
gpflow/expectations/linears.py,sha256=Py9fjbAQxzF4NxWqot8CgZyDazy1S2uUfk4P5GhxWcw,4043
gpflow/expectations/mean_functions.py,sha256=0MxL25Tv5Pg_UtTPl_G5yFC3nfxsoPsZo87u5hDv4Qs,4039
gpflow/expectations/misc.py,sha256=xreoorrV56daxqwoMF6GyLy08k9IbOTrv9iALWBT60k,4482
gpflow/expectations/products.py,sha256=G991lmPJpM-HCbqjhanFTjC4n7OM1HYZK0vtin3vM2s,3055
gpflow/expectations/quadratures.py,sha256=DW3ila_eIcw5K5nEs6OVxf9sfm0pf5IbXGmP-_uYEwM,4923
gpflow/expectations/squared_exponentials.py,sha256=kZigO7-bZtdkowohLm6XEdpz5Y2G_DzD5GHg-4CFTak,8095
gpflow/expectations/sums.py,sha256=h-HdVJ3mkbrY2220tPhywVzLNlkPRcPWwR2gFp1A0ps,3071
gpflow/expectations/variationals.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
gpflow/inducing_variables/__init__.py,sha256=Pk6sC24Y8geoEXYVqxYzMI9kyqi0xBHhkwfGa8ySHDM,391
gpflow/inducing_variables/inducing_patch.py,sha256=nKjA6o-HwqodvmbZ3UY4E2jncH6_LcbsQTBaml2lMnc,97
gpflow/inducing_variables/inducing_variables.py,sha256=wNEwCyQtE8ZVqg_sKhOnVJtX9ML4TnQvxGmikmiowQ4,2758
gpflow/inducing_variables/multioutput/__init__.py,sha256=Wb_Hv1MRpaZb5s5uMssyCF1UuPqWlaqTsrzYvOERx8I,250
gpflow/inducing_variables/multioutput/inducing_variables.py,sha256=iNJQsCQ-lFI1G46F2dTACGp9MaFbYBUpFbFsyIPxQZs,5842
gpflow/kernels/__init__.py,sha256=z1m1TlIZvF3IYyWG7mKI-W3x31RutLIdK6O_5n0yog0,723
gpflow/kernels/base.py,sha256=pcLwYdV_6Dc3kriYNxVoEoFIcc3WLn0xqOEeqt1cohY,8958
gpflow/kernels/changepoints.py,sha256=3KBacPi8jRe7ZNjbHs7ekiMbl80U51kjvVj1Ohe1OVo,4539
gpflow/kernels/convolutional.py,sha256=Mza7ZlfAPN-lk9SoSWa1nb7sOoMy4nluyLBaXLwSBko,3517
gpflow/kernels/linears.py,sha256=SOSGWvHLFI9SmbaphCscnF3vQHNAg7r1uQ8D3xn46NM,2516
gpflow/kernels/misc.py,sha256=9wwgXF9RCGWmlv9EV5rgmZ7hJ_EF0IPbUOeF-sjjdhc,7339
gpflow/kernels/periodic.py,sha256=zKgDGF2sZJZBCBl42ZtAlXvwLrfDxkjIG1YFWKTthMk,3021
gpflow/kernels/statics.py,sha256=mYe4rc8XYfXbcEtlz2m81U3l30s4deaHYDkuoW-pxCs,1789
gpflow/kernels/stationaries.py,sha256=6Hfh3rHNWC4HuGHpZOBNPtcWrKATs_bi2pk47RdL6hc,7388
gpflow/kernels/multioutput/__init__.py,sha256=qVk2Vh696tZjGRpN9W0bs0W4-RZ6QXGwRBB0XHpc-FA,148
gpflow/kernels/multioutput/kernels.py,sha256=ju-qIiAPngsvVkrDg9kPWCO_gbDTpMdn8JkPnI1tdHo,8356
gpflow/likelihoods/__init__.py,sha256=jzwxsKTGnySynWxOH04A6dTHSNsXFFvhPvx-VwC75Po,365
gpflow/likelihoods/base.py,sha256=EV0q2MkKkkRNHIehXiNCqMDURnEv8bXRe9WYMxoL-iI,20177
gpflow/likelihoods/misc.py,sha256=xcd-ghc9-iZkiLfmfhHD13qrV0JoFHxUEVwhjfUA_K0,236
gpflow/likelihoods/multiclass.py,sha256=DnmXJWpx8sBQ7aS8AWQxj5RjybztHh8Es3GPq3rnTiQ,6278
gpflow/likelihoods/scalar_continuous.py,sha256=Eg8w1hHQTr48EHpXiB_CxYwh-_uZ0dAU7dt3DaFJsYI,5437
gpflow/likelihoods/scalar_discrete.py,sha256=0s5QCq-roG9HaGcXoQFMxqY69X6ks6ygifoHHj3aqiA,5704
gpflow/likelihoods/utils.py,sha256=42OX0PW_QJJR_1T0W2etyYkTVS2YWk6yvWjYS0LH8tk,211
gpflow/models/__init__.py,sha256=wqxL3T9MEmbrNIuH1NtEeNGPzb2I0sQZxCWz6lJZ16U,1085
gpflow/models/gplvm.py,sha256=vAEAvgwiuWUB5AGNZgX52VqISk6QMoei2BktBx40siE,11410
gpflow/models/gpmc.py,sha256=5Sy_yN1QNJ4PKAqYad_R4R4jjRfDFIvznHJW0cTcWLg,3749
gpflow/models/gpr.py,sha256=FWjGk0p_GwKn4FUNIkbkXJTcl15qGaVZ4acgMFBPSYg,3636
gpflow/models/model.py,sha256=qeyX9AArsnPdArgXKtXcVLHOcohWy0iBhaVH0K3l6iI,9101
gpflow/models/sgpmc.py,sha256=pTXBsQl019LMMy7m2s9U2rvG--eGqF8ATJCAlwcjENg,4458
gpflow/models/sgpr.py,sha256=qD5Pzp2T74TKXQkf9Cz-MWupGisMiOmCK3D7oDw2IzA,15624
gpflow/models/svgp.py,sha256=UTReX7SA6tYbyi83j0_hxvZjcjB1drK96tVXVOXKxmA,7227
gpflow/models/training_mixins.py,sha256=iPQH83hdpGyJJvNB71DHuuewyiPOY9m9QXpRKPcPkNY,4569
gpflow/models/util.py,sha256=kIi_QN7XjWsZzJTwL2zWU6ZmgGaycS6iF5Nsuy_xzN0,2472
gpflow/models/vgp.py,sha256=dux7Md3BTnS_KbyY_TkN6vKuK4MKyP2nGuIsGhLZbrg,9651
gpflow/monitor/__init__.py,sha256=Ul2L44-cBPJ5kDn3KWr17J2IkjKajKjrBdsdTY6hbv0,688
gpflow/monitor/base.py,sha256=QG2actD2_pFr9PZ6TdV7pkLEPVhRvC9NuZ6dyKOomnw,4986
gpflow/monitor/tensorboard.py,sha256=7DA6SKnLyCGe5ic9hvKtKtkuutydnZW021Zaq1nb6lw,8625
gpflow/optimizers/__init__.py,sha256=PZasxGfT0T1Bqc-S9fyu9vw--UVE0JL1Q91imiIRzz0,138
gpflow/optimizers/mcmc.py,sha256=VrafOo7I5mb-hTRBR8pB3_qtgeVH9OHchxwxHCCGwpc,4875
gpflow/optimizers/natgrad.py,sha256=xPj2Xkg9fFCQfLBpL5Gy55RRPZjnfct0Co-fUgMugkw,15616
gpflow/optimizers/scipy.py,sha256=9Ftug9ol9rbSWCArF4UW4OUM-8Xv1cenWdw_1jemjvE,6277
gpflow/utilities/__init__.py,sha256=2YFeks7L_-4fFKk54kDcCq5lEGq3rBF9_IzA33Zsvl0,91
gpflow/utilities/bijectors.py,sha256=V8CfPRguh1P-OY3UN4W97FT-5rkj5WrLEQJdCiQVk88,1253
gpflow/utilities/multipledispatch.py,sha256=_LGl2lku-ePCMTOgcKb1bb2ox0KwiGyfy1JkWMkTcPY,1787
gpflow/utilities/ops.py,sha256=mavL1UXm8JEvsU5i8VRjkHwh7dG1BmdX4x6D55YZaJI,5331
gpflow/utilities/utilities.py,sha256=FuyX263JYWeX7yFqdar3OpSdaj5K15KDLHjuS6_cbgs,12892
tests/gpflow/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/gpflow/test_base.py,sha256=76vJ5zBGZD8gZhdMcu1cX9JQZrccc6xyBiziU0rdJWk,2148
tests/gpflow/test_base_prior.py,sha256=GuhDqCDYffmIX-4AjBUXwmX_rWXElmYcOU2FRK-GShk,4636
tests/gpflow/test_base_training.py,sha256=__FuXp6B97kd4ACxS9UpZIMzj75jWgvMYwpQAvxhYac,3948
tests/gpflow/test_kullback_leiblers.py,sha256=IXH06M9ON3MP3r8s5LwxT6C0e10H6jIAKFhWi5DZBo8,7573
tests/gpflow/test_logdensities.py,sha256=tB2DqKqXE6tDNwlo8DbXOJ-7OknU25hy-R__U-oeiLs,3962
tests/gpflow/test_mean_functions.py,sha256=h-v_dcGMP3SOSSDKHU8j5jAnTJCNIEmO6_mBvWqXwjo,10794
tests/gpflow/test_monitor.py,sha256=dCu1_q3IW1WFBDZ9sXJwV7ttUseyGySZ5-aQKrnnge8,7484
tests/gpflow/test_quadrature.py,sha256=N7n9eLbnGjgMjTq1KvAF5IdhN8TsrJ4NDKLGTEDojS4,2769
tests/gpflow/conditionals/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/gpflow/conditionals/test_broadcasted_conditionals.py,sha256=4wrlTkhEh6oa0depFqm1jxkBpiI-ebJeF88zJNWx1vY,7521
tests/gpflow/conditionals/test_conditionals.py,sha256=IFt2fE7AGflJxGiaKAK3ZjkpQGqxYR9S70jkLnzYt8U,6328
tests/gpflow/conditionals/test_multioutput.py,sha256=TAMWEIxn_3Jfa0v09UYijqADzn1L-98KtkfNcDM_w4U,25347
tests/gpflow/conditionals/test_uncertain_conditional.py,sha256=N010DHb_uZvYwdN76vaGjHL0SqlXd3BjOy7IjMNy-Ec,8857
tests/gpflow/conditionals/test_util.py,sha256=BFbtMgHN6jrDrQgtY30OdAUjjE8MPaKTRPwael8VNaY,4273
tests/gpflow/config/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/gpflow/config/test_config.py,sha256=JLFFky9dXJmiis5dAILfE59dbeFXL9j65RMJlvB16kg,5586
tests/gpflow/covariances/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/gpflow/covariances/test_base_covariances.py,sha256=HzbAh2QZQKcs6LzzIrCthOTiNHyhRHAeW_MBiGPiXwg,4093
tests/gpflow/covariances/test_multioutput.py,sha256=ENJu4fMWmwN46FVOeYBXqPvO_GYaO83RNxfvK51uSyc,2285
tests/gpflow/expectations/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/gpflow/expectations/test_expectations.py,sha256=IYLPG8JOZvGPB2JO-VNTfdTeiB2uYfOjh9aalirJUjs,10284
tests/gpflow/kernels/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/gpflow/kernels/reference.py,sha256=RIKddxjqubZ2FJvm6E9fSgzdcSG5me8q7FMxSzg6gTo,2598
tests/gpflow/kernels/test_broadcasting.py,sha256=YOdfLa8PcW2V3A_O_hTcQNX--Cvg9ByY_Y3KnNndkx8,4763
tests/gpflow/kernels/test_changepoints.py,sha256=nrSeTlEHolHLCHX3WogoUdTFQkWGE8ojwpt4KS1vaAU,466
tests/gpflow/kernels/test_coregion.py,sha256=YSQjdJMq-T7HcqddsYdO2WqCf3PlMMZ5Ay9wfk88Ly0,7286
tests/gpflow/kernels/test_kernels.py,sha256=rXTb6jbJbi0hrONczIN1KgMY7X44GxswUaD87aaXvd4,19215
tests/gpflow/kernels/test_positive_semidefinite.py,sha256=XlAYjkj9DAUB-NvZSOk3mOROTKdqJWvTd47Bcj2IWMw,1949
tests/gpflow/kernels/test_scaled_euclid_dist.py,sha256=R5IBYqGdSsJ91UXFMfiYfel0TSqUpasE4xtkLZBtuzw,1869
tests/gpflow/likelihoods/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/gpflow/likelihoods/test_gaussian.py,sha256=8_djA32fPu5iv-BbfyYGcnar4iaegpmHf5lTWA-Q9tA,419
tests/gpflow/likelihoods/test_likelihoods.py,sha256=V-M6JkreI3N9hKjpBtlQ7nMquxGQsHpZ8yucif6bIQI,9705
tests/gpflow/likelihoods/test_multiclass.py,sha256=psKsd1aIq-qn91EgkzJkpbNlbkvUVcHzzNJ00dLun9Q,7284
tests/gpflow/likelihoods/test_switched_likelihood.py,sha256=rfkDnOSoI_PhQWjbQ0Q27Ri_8g8UZNuKXkCOsRo6snM,6312
tests/gpflow/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/gpflow/models/test_gplvm.py,sha256=rTtFmpd2QW4u-RGlZrt31nszWkFoktPzcubtDFNnUjk,3749
tests/gpflow/models/test_gpr.py,sha256=OpduMI1qSze3hTEqC1WrmV3r1SeI0-QjxEx2Ht2Cbfc,2217
tests/gpflow/models/test_mcmc.py,sha256=FaoW-TxnmoHiAD-hUwzijqnimJrpSRsQHJj9sdXanHI,1806
tests/gpflow/models/test_methods.py,sha256=W1S9O305MRLYHytsLcu_Zt-SwZBCYYDg_evY_iuFRQE,3000
tests/gpflow/models/test_model_predict.py,sha256=oqFEIYgqSYVUE6oMAbWQlL9zecGfMaAFYIQvcJeOHoA,7218
tests/gpflow/models/test_sgpr.py,sha256=CE990HBVe3ktjHzXq17JxZvVzQE813n-M3U-73SZe5c,1849
tests/gpflow/models/test_svgp.py,sha256=KtuNilkrsgM0UPzdzxLmGq6fmlxNOvbYS-dmmHlUQkQ,6450
tests/gpflow/models/test_training_mixins.py,sha256=nMzmd_G2WpxVNidDdPKQ0z1YZ5iImB3GVaE3FHM3V2o,881
tests/gpflow/models/test_variational.py,sha256=6c6kxFUkItnff1gYue3An6TGpVbRmLSPW_BpRzmynZA,7379
tests/gpflow/optimizers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/gpflow/optimizers/test_mcmc.py,sha256=BWNS-PTiQTMLxI9jr3LFq4vEi5fjGMQ1I-QQvl1F-qw,6816
tests/gpflow/optimizers/test_natural_gradient.py,sha256=Qtt7pqdDqi7FiYnfttDAq2bH_3iF0k0Ri7jy5V4MXdc,5130
tests/gpflow/optimizers/test_scipy.py,sha256=80VnRsDoiZ7tib3yWTCUhNvQYVLtHMMgJNaiMLYyxGo,2073
tests/gpflow/utilities/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/gpflow/utilities/test_deepcopy.py,sha256=N7JdmAZx-W8Mr79g3LUO15r1IZcZDA2pSUisjyPoa7g,2468
tests/gpflow/utilities/test_multipledispatch.py,sha256=TahX8N37qHYE1B14tFRHYvhwlxUlN4MicCnKjqQVa8E,2363
tests/gpflow/utilities/test_ops.py,sha256=u2A-ab4IQQmI1ToKtWQJdjizBVzTLvL8AMR2yQ8rI88,1531
tests/gpflow/utilities/test_printing.py,sha256=fg_Igphf42dJCl9ABv_4wA3dd-AV1eyqCKAE5YAoCjI,17361
tests/gpflow/utilities/test_set_trainable.py,sha256=pRvt3LYRsdP5t_cFk2jELIRlHChcwLT8X2Lgjz-zT4E,1192
tests/gpflow/utilities/test_utilities.py,sha256=aSsekQ-yFUUPjU691M9lBiOkPMP1TxJrN6p4f2OiUBk,3158
tests/integration/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/integration/test_dynamic_shapes.py,sha256=0UaBR3fyEK71MHmh8SRvdkwamV_Kjnw4jjzZld-Naas,2897
tests/integration/test_method_equivalence.py,sha256=hzSQKxMpjTkv7GshAEmdg4OVHgDkfmVbCKO7cmXI5NE,10343
tests/integration/test_notebooks.py,sha256=ToFd-mCe1qgDtfka7uhjpxsXDmGg2rSn5aT-msnLL5o,3169
gpflow-2.0.5.dist-info/LICENSE,sha256=tAkwu8-AdEyGxGoSvJ2gVmQdcicWw3j1ZZueVV74M-E,11357
gpflow-2.0.5.dist-info/METADATA,sha256=D8MmCPViWzlrO0u_d_byx_0IjGt80J0IumwGkUjfRm4,11021
gpflow-2.0.5.dist-info/WHEEL,sha256=MYFsq5fFBwF_oyJgrOoFmYYB1K6Sw7MxY-0897ZLbdM,92
gpflow-2.0.5.dist-info/top_level.txt,sha256=RqdrctYMtklKXB5FkDrNq5uXfIQjPNueXbKYOGGM0xc,13
gpflow-2.0.5.dist-info/RECORD,,
