gpflow/__init__.py,sha256=AnXkf-syLgXTgopvbPDx5pde9z2V9bxowGMccoJ-HzE,1138
gpflow/base.py,sha256=ZmLltwO_5UO40uY8qxt10UQVxoKMSVzooN7BNBU_P-I,9087
gpflow/ci_utils.py,sha256=bgP25-oko_uq_z0WWjgnjNiayXDP7Oj-Ncybzm-A6VY,2001
gpflow/kullback_leiblers.py,sha256=hjht3GD_suGv7e_u9lSzJZvSxBfmmHRqu3k0azH3H2o,5984
gpflow/logdensities.py,sha256=0WVGAY3JZj4xQ91EEtExBhbHhyindHOV3DErN7Qri58,3355
gpflow/mean_functions.py,sha256=jIQj9ot_V87bg2iGSpl9N3jxSNZz9j9h-i0BpkqxINw,6133
gpflow/probability_distributions.py,sha256=LTObq7QZrGN-k2n9tLaAoRzHeX_-URl8mVNwjF67t2Y,1839
gpflow/py.typed,sha256=bWew9mHgMy8LqMu7RuqQXFXLBxh2CRx0dUbSx-3wE48,27
gpflow/versions.py,sha256=RifK3FTKEqc87mP4NkmEh6-HQtWpFxAmkyvoJJ0WTdM,177
gpflow/conditionals/__init__.py,sha256=i-dCZeA5vumu71Ul7IU8jJO0M9rep63xUaW0KRs-dh0,253
gpflow/conditionals/conditionals.py,sha256=ePFLpz8MAalHi8sLXkXhz0kI82NmJ9Ly1PpTIVEWHx8,4901
gpflow/conditionals/dispatch.py,sha256=T7sfMNYh-A_9YF8G3EDVt11h0442E11I9X7PJY6tzHE,741
gpflow/conditionals/sample_conditionals.py,sha256=khSKXKtrI3ECTnjCxVOJo31zDbML5vcyXNen5Rg0mkE,2694
gpflow/conditionals/uncertain_conditionals.py,sha256=NH2Dzzgpbuorg6EpKiyFo8vpLLphw0QIxHlObxzDrjs,5947
gpflow/conditionals/util.py,sha256=ESOGsXzP85clet3528xJkjPXGw3jAWzQKbqJwJ8r0Mo,21612
gpflow/conditionals/multioutput/__init__.py,sha256=0Qn8uQY3ySEYsEO9ro0t_ILGJb4ZBQHJPNb9dODLvac,61
gpflow/conditionals/multioutput/conditionals.py,sha256=ChhPNRFgQI4U7uQltcsOefoPmb-dbnho6jXTkNioYqM,11289
gpflow/conditionals/multioutput/sample_conditionals.py,sha256=KgUYNOrL19H1TIfOI2aGLCzfvoH_Rao4AnMXnTX70dE,2449
gpflow/config/__config__.py,sha256=aQGI8v6L_xYbxvQvGofv_CtaOvLiA8to6WbsdrcKxMs,10639
gpflow/config/__init__.py,sha256=EoFHoa0cnNAgPcyYFQPTChAWFpiB1U3krJSFOg7N2pU,26
gpflow/covariances/__init__.py,sha256=N4X9qVF6zyK0SWjYa5B01eaWIWON8ryVjxM3hw0pqpE,104
gpflow/covariances/dispatch.py,sha256=JeVKWkf6NN2bFwqUWvHYyTEisCFpj26HySgtj3X140s,695
gpflow/covariances/kufs.py,sha256=3OpCfTlyJHUlvNEHbz3y9fRqoD7dw7R4A3CMhGVVPrg,1983
gpflow/covariances/kuus.py,sha256=g_1C18M1EHpNN_SVg_ihNEuPYpi-x1GwSUJFH_hPJxQ,1910
gpflow/covariances/multioutput/__init__.py,sha256=8TRcWe675n4bRBMXovyibqgxEefBW-Y_DhOAXbhuSbw,25
gpflow/covariances/multioutput/kufs.py,sha256=06Ugc3WvVrhDdjgDhC017u4uNWi31gRaxvnzFYto1U4,3875
gpflow/covariances/multioutput/kuus.py,sha256=U0Wx2fXT4BJ2pWEG1a74ZjC23P2xdoyCtgVGcmiN520,3303
gpflow/expectations/__init__.py,sha256=UPiYtyfkNX6OsHN3KW6r3YMKhHkhqE-VEYzmSgs4Z5s,263
gpflow/expectations/cross_kernels.py,sha256=zqYg6YvL1fLpdTTWfxxwqNVWVdmhLijNU4xFmaZhGh4,4566
gpflow/expectations/dispatch.py,sha256=Y01_4sjIrj64xUj9UTY1C3lp5-9JRcsa7Q9Zt9grt70,813
gpflow/expectations/expectations.py,sha256=rURF5qX5AZ_JatLvIwi9R9TGeio4ze9LgHKgc3ehIwA,3849
gpflow/expectations/linears.py,sha256=nlEGl4dnb6pgR3ONH7c4fe4HffjDb352nXT7QkZh3qs,4654
gpflow/expectations/mean_functions.py,sha256=LfcIT2EyyNmFSwDCPe7hZEHGv0vw8L4hvezw-gMBLYE,4650
gpflow/expectations/misc.py,sha256=88nRpvbGdIGkUBCPtIcLRwnHtmhdZc7xCORqvVWO0Vw,5093
gpflow/expectations/products.py,sha256=5FXNPs6n8hbZP0P--O72d4kTa_GTMSsgcjg0z3LF_v0,3666
gpflow/expectations/quadratures.py,sha256=3p6CutYOUcfkMPQQUTgNr1V5NM1J_t_1h89Ia4wM3Dk,5534
gpflow/expectations/squared_exponentials.py,sha256=1vX_BmXKQV4wWg4Ak_h9qp4_u0HyenhYmisCX69FpNo,8706
gpflow/expectations/sums.py,sha256=EVv3cwsUXLskERuaMMXfxkVO3wbk86a1bNack-L5zpM,3682
gpflow/inducing_variables/__init__.py,sha256=Pk6sC24Y8geoEXYVqxYzMI9kyqi0xBHhkwfGa8ySHDM,391
gpflow/inducing_variables/inducing_patch.py,sha256=zy2jperHevYsPdT0eXlp4T5BNCi_3FtMYf41ZQcUEVI,708
gpflow/inducing_variables/inducing_variables.py,sha256=O_X8W0xFdXc_eaSKMGMae6sy8aaOe8OUQbECXKkgRL0,2802
gpflow/inducing_variables/multioutput/__init__.py,sha256=Wb_Hv1MRpaZb5s5uMssyCF1UuPqWlaqTsrzYvOERx8I,250
gpflow/inducing_variables/multioutput/inducing_variables.py,sha256=ImdPxc65bPtqmPFPdKbJns0_-ZExXnBUJ8CB1q77H5E,5878
gpflow/kernels/__init__.py,sha256=z1m1TlIZvF3IYyWG7mKI-W3x31RutLIdK6O_5n0yog0,723
gpflow/kernels/base.py,sha256=kzbOgFjvOf5-I5utGu6iOpoIkd66I54ZGEW8pFcZaxM,9003
gpflow/kernels/changepoints.py,sha256=z_HUiBRMJUDBitzcsZb9wtuOb3xEEwrP-v1v_HNVuIg,5150
gpflow/kernels/convolutional.py,sha256=HTwmb8Msv4DOru_f8lIlIgL6CMicbM-hfNzKbrdAtWU,4128
gpflow/kernels/linears.py,sha256=kwZ5WmRvgNVNqWSiRtViK4UHjfgtCk-jvLrsjg5mvwQ,3127
gpflow/kernels/misc.py,sha256=j0mnJ3NWyG7wu3JZ54dthB-I_xA7-qZB9-sMghQTB8Q,7378
gpflow/kernels/periodic.py,sha256=IKnAJBVfQBO4c90N57Aw9zj6GIGJFu1ooesSF8ATVeQ,3632
gpflow/kernels/statics.py,sha256=T-6_G863tyQHLoRxxDpThPFAWEFdle0-sEwcvcjlq_c,2400
gpflow/kernels/stationaries.py,sha256=d8023RdAu6oUHh6iz21FNOJRu72WKpbnG6mcrPPPuQc,7999
gpflow/kernels/multioutput/__init__.py,sha256=qVk2Vh696tZjGRpN9W0bs0W4-RZ6QXGwRBB0XHpc-FA,148
gpflow/kernels/multioutput/kernels.py,sha256=73ryxsKaUmpuQsVu1miBICsAEjhKHCaixXTgrO2EmK0,8392
gpflow/likelihoods/__init__.py,sha256=jzwxsKTGnySynWxOH04A6dTHSNsXFFvhPvx-VwC75Po,365
gpflow/likelihoods/base.py,sha256=zjFfraND6Bxd1JichFA8jPOJZXoowk6ZpNgx7NOUfPQ,20122
gpflow/likelihoods/misc.py,sha256=6EGvg1Zo_KF_QMf-2FJZ5rpRyzGhj__4KX2vv_6iK60,847
gpflow/likelihoods/multiclass.py,sha256=u_hKoUbB6EEIL0earDxt4SW7Drqn54sumMh69u0_0VU,6889
gpflow/likelihoods/scalar_continuous.py,sha256=B4R5C1R_q8JnILOQQBot_rlpkx5He2lHHDvxhYJYOCs,6048
gpflow/likelihoods/scalar_discrete.py,sha256=KP-2oooixv_EL0iWKii4-9kIFKbLQ5IBj6z1PctWk50,6315
gpflow/likelihoods/utils.py,sha256=svP1YNxoD4kvN8GwOSFzgc99oZifK-bHd06N0GpGjtY,822
gpflow/models/__init__.py,sha256=-Tbe7qwMfpYwTxOXzIBG6JROh5lJyARhToDks6KhOKY,489
gpflow/models/gplvm.py,sha256=fkdCmYRSpDbuU9LcxgLEzjvXlrHRLmb5EQJZnsAW_hk,11441
gpflow/models/gpmc.py,sha256=qRSfpXnnYZ7G37ae2vL6q1szvs28vNKvpjh6JSiP2e8,3771
gpflow/models/gpr.py,sha256=2j4k86kb8LnIJ7YRid_3t_tKcB64obzflE5XhxqSuuk,3914
gpflow/models/model.py,sha256=LJ6cUH9pT9BDUOCD_vcOSeaL5bASDqjlhhGmIVkSDzU,9072
gpflow/models/sgpmc.py,sha256=50eCKG0J0NScHTzefsBPvpFsN8uXghy6pPO3qiy1gb0,4480
gpflow/models/sgpr.py,sha256=UfEzOIMRxTd94xR4oGMwbsO8ScudEKEzvyYcrDb61Ck,15648
gpflow/models/svgp.py,sha256=791xCBZ0MDCbUdgWs2CHgE5cDbam4Eu5oPPaH1fFcG4,7210
gpflow/models/training_mixins.py,sha256=xSWZigawr5rNcJjPpgOo_uKrRc7oAyCD9xOX5zJdIPs,5175
gpflow/models/util.py,sha256=x8xL8w6m6PCPeACkjI9OEfbKyNkBbZFNieKZz7gLIWI,3083
gpflow/models/vgp.py,sha256=lCKYvoBN5J3QPdQpo_6x1lECMJav9wHQoSUCX1Wfyb0,9641
gpflow/monitor/__init__.py,sha256=Ul2L44-cBPJ5kDn3KWr17J2IkjKajKjrBdsdTY6hbv0,688
gpflow/monitor/base.py,sha256=ex5CgM1Q8XWw-rXy4DB98y5Bs9ec6Jihyi2CbRlnp0c,5018
gpflow/monitor/tensorboard.py,sha256=lSLZhPUusUjiJXYc9CwtRWex9EvlTq7zdyyG9GSAdzo,8657
gpflow/optimizers/__init__.py,sha256=PZasxGfT0T1Bqc-S9fyu9vw--UVE0JL1Q91imiIRzz0,138
gpflow/optimizers/mcmc.py,sha256=o7146iDnXhogTg4QrdzTl_x8iSzzF8Kz29qjhZFOWZ8,4877
gpflow/optimizers/natgrad.py,sha256=BsQC6mM0jaFHu5Wu7_VFRHWmFXnCIhIs5tmtmRN2XZ0,15609
gpflow/optimizers/scipy.py,sha256=HXhjjOZXLE3HF3qmaXNXiTfjhOAFre7MAOaaXVQi2WM,6888
gpflow/quadrature/__init__.py,sha256=lDgmrP__JeuYySjVFVQ0dpzaz9ZuNYym1d7qYyR2NeE,159
gpflow/quadrature/base.py,sha256=eKuR6ZBp69-Nk70pAKfpl6FSTkLhG0VrD0Onrb68aB4,4679
gpflow/quadrature/deprecated.py,sha256=LzgMVu3pg2ZEbOPjmwXUn4022U6avEVO0fYxDuOQvgg,7667
gpflow/quadrature/gauss_hermite.py,sha256=HoROAkU49qrJOM_hnGO2jWgN5VEvjViQCuVPLWvaH4U,4913
gpflow/utilities/__init__.py,sha256=2YFeks7L_-4fFKk54kDcCq5lEGq3rBF9_IzA33Zsvl0,91
gpflow/utilities/bijectors.py,sha256=z_xLek37ZKhxTvkiiIthTVSXFATX443F029rMVvTQxY,1864
gpflow/utilities/multipledispatch.py,sha256=ZuSdkxODReRm_WQcqQJe3cw-HFS1zbVTWPjWZcjYwQo,2393
gpflow/utilities/ops.py,sha256=d7xaI_-7or_yQkH9jDnICiqeiu0m6Vo2AYitjkXQrYk,5942
gpflow/utilities/utilities.py,sha256=7VAqDui2Qn-zTkDaNMpYHTeB0k3_9KDs0_ZpAqrJ2Uk,14711
tests/gpflow/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tests/gpflow/test_base.py,sha256=uab8YB_H4wR3vPQSkLE-u80uxj-5vqgqxPsx9LRIok0,2836
tests/gpflow/test_base_prior.py,sha256=GuhDqCDYffmIX-4AjBUXwmX_rWXElmYcOU2FRK-GShk,4636
tests/gpflow/test_base_training.py,sha256=JKoPPrAqJZlj5bIpFPljqOU7pdHkPIxWYUkaSW4S0KE,3894
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/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=m_13l5nniIB1ff0IX6j6w1rMLnLZtLnTqejz6MDNY5k,26131
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=OcSfKUWtI67kAVb221yxuDNsAGzk4srD-iA-32bdr7U,5603
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=TD9_zGYkgIrwKVI3sMaTb60EItEkal7Ts5NyKSeEJGo,10307
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=3Xj-FLYAwulBLkFShwd1HpMrZaX2325opSbaXt186Do,7162
tests/gpflow/kernels/test_kernels.py,sha256=pvQ-YOy_N3BPWuRooCPG2aUWiMsFrBSMEQFIFRrROVo,19205
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=bRlQazUPMCG7WyUgOH2znSxuPwnWiwN-XkLuX7LcrsI,6440
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=UTBYJYEMwLnxUfOtj8pPRsfh0gwWCUCrZrz1T_LahS8,7260
tests/gpflow/optimizers/test_natural_gradient.py,sha256=Qtt7pqdDqi7FiYnfttDAq2bH_3iF0k0Ri7jy5V4MXdc,5130
tests/gpflow/optimizers/test_scipy.py,sha256=tpsjX6wmDFUZEwP6h6-wyvHEhEosT-JkoZPdRpo61Is,2065
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=fpR8iVM2zR3rrhwRlUMoq1_4NqJJBGTouovOnoMWb70,2784
tests/gpflow/utilities/test_ops.py,sha256=u2A-ab4IQQmI1ToKtWQJdjizBVzTLvL8AMR2yQ8rI88,1531
tests/gpflow/utilities/test_printing.py,sha256=Ro4TrEy7xkSeHteHHRh_Xel7c4czogefrgsyH3Ry5BQ,17345
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=bDkE8jDP8KzHoq--zP5RFP441BuWxZ7B3vmdrksxZ2E,10463
tests/integration/test_notebooks.py,sha256=ToFd-mCe1qgDtfka7uhjpxsXDmGg2rSn5aT-msnLL5o,3169
gpflow-2.1.1.dist-info/LICENSE,sha256=tAkwu8-AdEyGxGoSvJ2gVmQdcicWw3j1ZZueVV74M-E,11357
gpflow-2.1.1.dist-info/METADATA,sha256=U9kGYztrVeWuAuXnfN5MzRVq95vHfoC7b5A2aOyPS9Q,11565
gpflow-2.1.1.dist-info/WHEEL,sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo,92
gpflow-2.1.1.dist-info/top_level.txt,sha256=RqdrctYMtklKXB5FkDrNq5uXfIQjPNueXbKYOGGM0xc,13
gpflow-2.1.1.dist-info/RECORD,,
