Wheelodex » Projects » gpflow

gpflow

View on PyPI — Reverse Dependencies (19)

2.9.1 gpflow-2.9.1-py3-none-any.whl

Wheel Details

Project: gpflow
Version: 2.9.1
Filename: gpflow-2.9.1-py3-none-any.whl
Download: [link]
Size: 380551
MD5: 494d7adb02c4a677dcdcd0812bfb4a11
SHA256: 78b791c0902ba5733348c4b4803a4ffa4303338a81a8a538634174a2b9beec46
Uploaded: 2024-02-07 15:19:13 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: gpflow
Version: 2.9.1
Summary: Gaussian process methods in TensorFlow
Author: James Hensman, Alex Matthews
Author-Email: james.hensman[at]gmail.com
Home-Page: https://www.gpflow.org
Project-Url: Source on GitHub, https://github.com/GPflow/GPflow
Project-Url: Documentation, https://gpflow.github.io/GPflow/
License: Apache License 2.0
Keywords: machine-learning gaussian-processes kernels tensorflow
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: GPU :: NVIDIA CUDA
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Typing :: Typed
Requires-Python: >=3.7
Requires-Dist: check-shapes (>=1.0.0)
Requires-Dist: deprecated
Requires-Dist: multipledispatch (>=0.6)
Requires-Dist: numpy
Requires-Dist: packaging
Requires-Dist: scipy
Requires-Dist: setuptools (>=41.0.0)
Requires-Dist: tabulate
Requires-Dist: tensorflow-probability (>=0.12.0)
Requires-Dist: typing-extensions
Requires-Dist: tensorflow (>=2.4.0); platform_system != "Darwin" or platform_machine != "arm64"
Requires-Dist: tensorflow-macos (>=2.4.0); platform_system == "Darwin" and platform_machine == "arm64"
Requires-Dist: matplotlib; extra == "imagetotensorboard"
Provides-Extra: imagetotensorboard
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 11310 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
benchmark/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
benchmark/benchmark_api.py sha256=yy_w0zeJrRL4TOnTfSDZG9jFDKEq9gTfVWMCWRZ2V_U 9767
benchmark/benchmarks.py sha256=uRAZjmM8esecegMKQJzaX_9Te043dALe7nbsjdBhMxA 3524
benchmark/dataset_api.py sha256=dpPCgzmO_IwaDvsTiPCyhMCCmNNvZJPw4kP-4lKy68c 10736
benchmark/datasets.py sha256=ZP7S59SqGs81MwqY71qxPqTDaR8QGJny8XkOHI9EUeg 4590
benchmark/grouping.py sha256=hZzJBWOf_BqfGNUXR4R-dds4WXsQQSFYiI1VXW2RfNM 8301
benchmark/metadata.py sha256=sOE3T4WQ9QCbdUICOe-QDXm5ngcTrGnHNikcWWwKJFI 6597
benchmark/metric_api.py sha256=TzFt2oYw3UMp6EycMs7HYCQH-WCUkEHoKQo1ILx7Eaw 1652
benchmark/metrics.py sha256=Uw6wXlRdzhuszMmVAHOl4uu-p5MQP14k9IOx45UhLE8 3286
benchmark/model_api.py sha256=gXHi-HZcGMtb3fGzYBFaheVsku3sbp-3qYMDA3XGUvA 3137
benchmark/models.py sha256=8SSd2hhqxBxPGfODkDKEzlBDbK4ADlhfDqqardBajgI 2921
benchmark/paths.py sha256=sTjs2LN9MaxR_fdyw2VoDe9-a3FDzGJKvVMd7v4NOdk 1475
benchmark/plot.py sha256=ZOUyn79OEUJ2y901s-oigeWUEJSOPAsfGUAIX1XolPU 6093
benchmark/plotter_api.py sha256=COXDSm93r8OeYOjiitcgrX3sTUD8ZRbX3BmiJvtpHUY 2792
benchmark/plotters.py sha256=IYGPee8h5ntFMgUYPub9l-dc9Mb893HE_Vptc7-Lovo 4526
benchmark/registry.py sha256=1JFp1ytNAyT_azfcZBvECUad96Nbpp4uIJw-v31WBAE 2438
benchmark/run.py sha256=QOvVtdpF4zYs0f8_prU0udgmSGpMu-TcyBSPSlhYWOU 12862
benchmark/sharding.py sha256=yI1Z499AknUEFchIZgHJ0Jbgyc6NIdY_kAb6mYWa1Ag 3496
benchmark/tag.py sha256=mWzXRnUA1ESQZRpeXn1PYyY1kG5--O7JsZ3zUIdyeNw 4781
gpflow/__init__.py sha256=okZpusGkiY0_d8dY-Te4ol--wkkxDyt4lYKu3MeOg2A 1745
gpflow/base.py sha256=dEKbMvgrbAiRSF9SP0k7b8lxsZHK4X170F9URryVuyg 13296
gpflow/ci_utils.py sha256=weRZBMAAHInQaLnCjKte2NrMq3b-97RV3v_s4kfWafg 1772
gpflow/functions.py sha256=XfT0I_ZGC0OfjShTNUEUF7LJWuPqGVMKp4wkkHk1VOM 10883
gpflow/kullback_leiblers.py sha256=Uq0SejXkYjLLvNRT9i83YpyxEHCqxK9XB_6SNY2DPno 5901
gpflow/logdensities.py sha256=slCw3Pk85fjh8ijsHvU71E2oN2_TSDXOryqmvIyGqGY 4530
gpflow/mean_functions.py sha256=sLt_WBEj8vNGR9BEWMOe027OmJxM_P7vOtrQz-OYTs8 1022
gpflow/mypy_flags.py sha256=_0sLZ8DJbHcAde-Lv6Alp1wKYW_bAacujHwP8C9TE-4 839
gpflow/posteriors.py sha256=2TbJ5yZ4-WapU2AZkA1K4_hLlRNsvTd5sPDH-nyAvyU 40522
gpflow/probability_distributions.py sha256=xYqQBylwUwaRKpme-_UPY0L8ctDpyknojpaeSy1iDVU 3005
gpflow/py.typed sha256=bWew9mHgMy8LqMu7RuqQXFXLBxh2CRx0dUbSx-3wE48 27
gpflow/type_flags.py sha256=Pw51ZOQ8oLdmocJSy9kR1i1yFg4aqhOHi6Cby6RndTI 1784
gpflow/versions.py sha256=RifK3FTKEqc87mP4NkmEh6-HQtWpFxAmkyvoJJ0WTdM 177
gpflow/conditionals/__init__.py sha256=O7sAWJmvWqp0RKq_xgWCAcz2tm3lNxuBt9rjWi5vDl4 445
gpflow/conditionals/conditionals.py sha256=ZHNmkN9wbQ3BOK0OGoe-8Glg_viKaFuqhKXTVoEHcnc 5399
gpflow/conditionals/dispatch.py sha256=x89YruRb0_rQpoJjbOKLnGLEk_6OP7JMtaxBIlSbXf4 1293
gpflow/conditionals/sample_conditionals.py sha256=k30ZzG5HgD0Ygf-3TiIs_QMVEII0Y3VTXWMKldGvj-E 3281
gpflow/conditionals/uncertain_conditionals.py sha256=IEnHZ2YDC-S9Excyhn0K4_QV0lNeEOdekt-1q8xB3Z4 6231
gpflow/conditionals/util.py sha256=Ml0WHQwou4xJV6OgRVTDrnjBnzzDxZ8B93lDlH8uEKs 23736
gpflow/conditionals/multioutput/__init__.py sha256=xtJBqSwCwm3yyF3MKjqrQbjNwGBIKrVNnOuVFlumb1g 110
gpflow/conditionals/multioutput/conditionals.py sha256=n_IIee6ngX_1jPLAfneq0Ov8Fc3R8LGd2GVWnAC6TFU 11061
gpflow/conditionals/multioutput/sample_conditionals.py sha256=u-P73eYBWLfvOFoNp2t4MiZxXHRNqRKLioqtR00cZRE 3007
gpflow/config/__config__.py sha256=oBtH03kt7ukfEQPx3HKgIYKgIThslHMhwBJrmO0t3Vc 12658
gpflow/config/__init__.py sha256=ITguqNa-m4aSXY_RbJZcPyBrbUxvmh87T2DDgJwt0Nc 618
gpflow/covariances/__init__.py sha256=TNAo-_lmHu6wK23sFZnFxrPKG2Ef_1zpu3QJrMU6YfI 165
gpflow/covariances/dispatch.py sha256=JeVKWkf6NN2bFwqUWvHYyTEisCFpj26HySgtj3X140s 695
gpflow/covariances/kufs.py sha256=aArqNksWbLSYXTe-7Uq5CBMQ8zVji4ztdu_cFV9qMhc 2665
gpflow/covariances/kuus.py sha256=CQDYAvRT6zRfeydZ904jOr47k02iPNYiFLUX5VMIP_k 2370
gpflow/covariances/multioutput/__init__.py sha256=-Ml4Uq8g_aaeJTf_VZN6OWlCvgb4223h_iW7g-08uls 64
gpflow/covariances/multioutput/kufs.py sha256=eqi2QObTY1z-mlE9m3GrFzja0HLd8CuJIZnPDFp7ohU 6858
gpflow/covariances/multioutput/kuus.py sha256=CJcu6D1aFTS3TbKaPjGTru6NfzpmjAd1rETZ6j5YXVQ 4048
gpflow/expectations/__init__.py sha256=r0-v3djAMgxNPAtl4kwirxuaQFhsrVwYcuxLGW16n1k 454
gpflow/expectations/cross_kernels.py sha256=pnwAqNcGiMTU6Aei3nMZ45VYQKfFHeQZI3RWWzfrI2U 5380
gpflow/expectations/dispatch.py sha256=Y01_4sjIrj64xUj9UTY1C3lp5-9JRcsa7Q9Zt9grt70 813
gpflow/expectations/expectations.py sha256=nSoTZ1JIyaOLN9WZQirHUwW2h3D_X-Z5G8ztxBS28Qo 5479
gpflow/expectations/linears.py sha256=rZV6jTGfN_G4x4Sq7HcmNynDmzM_QkGilGgVtvzhg4k 5954
gpflow/expectations/mean_functions.py sha256=hDGb09YCIGrjpmv5s7FJaOtw14TY1peIuJfkrVBjV7w 6170
gpflow/expectations/misc.py sha256=zRcFvK1yxWbMNSL6ap8tVOBxOL5JC6TEqc7QQo2wB7I 7115
gpflow/expectations/products.py sha256=-Oat3SBkSg26gMsz30gCntrE0nuaMiD3-4b0uI46pyc 4450
gpflow/expectations/quadratures.py sha256=BGrFCjOYiJtbishdxeLfhGK7Nefjpy4m5KUhfpCyRVs 6814
gpflow/expectations/squared_exponentials.py sha256=VEX5EaAseGuHYTVEaDYRpNaYRW0V59mx7GSbjEViHoM 10043
gpflow/expectations/sums.py sha256=hxh3eDc_ALNwTAQCyKuU6Be-rB8YC1hfyhwMtjFozrk 4972
gpflow/experimental/__init__.py sha256=nkFAm__uBvv2KCKeXW3oYzXct-xwojpdFGhCwCSaQf8 879
gpflow/experimental/utils.py sha256=E8TN9rDfBDEEYHVd76VLNl27OmI1G2ToxahCs5I6hbI 1551
gpflow/inducing_variables/__init__.py sha256=U-Xl3orLjkCpqeyfpw7nMfiTJTVg-5HmlR0pQOPUSJU 785
gpflow/inducing_variables/inducing_patch.py sha256=zy2jperHevYsPdT0eXlp4T5BNCi_3FtMYf41ZQcUEVI 708
gpflow/inducing_variables/inducing_variables.py sha256=jcetjRHnQJCvpDuGKku3R-y4nv1a_Z9BvSpjz2Bnwgg 3690
gpflow/inducing_variables/multioutput/__init__.py sha256=M0VmhMjxgjgVKi-XOY0PpNGc2viALXgwqeJmvIBMr3o 515
gpflow/inducing_variables/multioutput/inducing_variables.py sha256=kfMb7jT_bDoZiO5ARZAwQFnrE78toBwhMMWAR8vlPj4 7262
gpflow/kernels/__init__.py sha256=UkQBCj9yc42cX1oOcK97zzKTiP8nn_iqQk4I0M2c5Dk 2532
gpflow/kernels/base.py sha256=PZ-Tf4M_SfqgJKndcTwO1EoOKtRAqGD2wd20Znwq2JQ 10659
gpflow/kernels/categorical.py sha256=P2Tt-KsOcv0gMQJjFuHbgjy-hhVUHw7jTpgLdK3HU4Q 5098
gpflow/kernels/changepoints.py sha256=5rWUZx2ghOoPYbSCQU2N-ElRjyPEX6GMghIXeK4BTjU 6817
gpflow/kernels/convolutional.py sha256=YpcBSlT5ikmP0ipTfGprtFCfaARl_1d-CHLNyNH-yF0 6351
gpflow/kernels/linears.py sha256=UD7rX7Jzyjm_7Il6v-vIpTMkOwgWk0gFioBqe98rDyQ 3844
gpflow/kernels/misc.py sha256=zFgQIWMz8Lr9zqaGKJH624_SCLhvt102djEi3_ROJ7Y 11102
gpflow/kernels/periodic.py sha256=EDHupwAvDCoQ8XZBH_cyYwn5PWXTrTdALzDWUscMT3E 4042
gpflow/kernels/statics.py sha256=uyUIWR62OSV0Hh4kLDuBcaaC3VktEOXA6o6r7tLoKYM 2823
gpflow/kernels/stationaries.py sha256=MY7qnCHC1IzIvJR4MiJ66UHJS1LQmLmQgTt-K305GrI 11179
gpflow/kernels/multioutput/__init__.py sha256=Aw8mAxvz6a8vfqMKdCQyRG0_jsJ-lX585t6cnl6dTQ4 311
gpflow/kernels/multioutput/kernels.py sha256=7M945pExM9YDQu_pKHLtgQApEIfEzKWiGOxTP6QJYwU 15660
gpflow/likelihoods/__init__.py sha256=ylj-yEvMCmL5cFhNX7u_SGio7wnd_3oYfab0w7OrRnw 3720
gpflow/likelihoods/base.py sha256=FONNp2Ot72UhrEqAfU4mEZP_4NqovbAnXPeimjz8UoE 24692
gpflow/likelihoods/misc.py sha256=Ck8JF2rZb-jtk5vsM6Euilyh0AdKAy1ld47osBPWIvY 869
gpflow/likelihoods/multiclass.py sha256=GEoR1XRCed0K3ChQ6br6UNMSwH8eUM3FNl4uSDx4cOE 9162
gpflow/likelihoods/multilatent.py sha256=zNd3KhgG2W-UbWOWTtDmYqVZtijS2-e5WezpxWyVNQE 4782
gpflow/likelihoods/scalar_continuous.py sha256=0jyFfid4Zg0nsicLygFsDFxk4yS14qUkqAv9xyJGkO0 11574
gpflow/likelihoods/scalar_discrete.py sha256=bghLxfJV0xFUC036JZGxjSXMXN_wacbmJTx3YDGMWmI 7553
gpflow/likelihoods/utils.py sha256=6Z2werICrBK2JwCBeFzCs1k5rRFMsEgwPGaSukuL_EQ 948
gpflow/models/__init__.py sha256=5x_m_1-8kRE_OLM4i7_9IwnjGh56qI6XoD649L97NyY 1909
gpflow/models/cglb.py sha256=KJGbAk8Qo8RVcV_VQ7KXIySAhbSrgMVpTppAeFQcPbo 14250
gpflow/models/gplvm.py sha256=0bYmmA9oq8AtFJKUKTN5Ohj2iueEX0EvQZUzzs1A8wU 11614
gpflow/models/gpmc.py sha256=RIkZApj20rqt3BOGZHlfiH-6rSc7VQ4CFFS8drmtXVE 4451
gpflow/models/gpr.py sha256=XmVUgrsFax6YzaY5rbQZyeqG831WimidJ0OMBft03HU 7000
gpflow/models/model.py sha256=zYz27mWQxGrpjNVE9IkbiBiQLl6QFx4sqC9qOwetB4c 13688
gpflow/models/sgpmc.py sha256=56Tqk9w24u0V8WWd_9OZFhGPB0K9BqsTcZ8GFEUG5k0 4718
gpflow/models/sgpr.py sha256=oYDUiJa7aKV-FsYXnT7PBD15WHAlvue6_1U_teQVggk 22082
gpflow/models/svgp.py sha256=aU2cyqSqn316BoqBbTeL_XQnUxJAmHJAST63NKafO7U 10487
gpflow/models/training_mixins.py sha256=XtM8Wj_WshiHpdH8r4faKfHKiHZsiH2EoXBHAA6jFb0 5794
gpflow/models/util.py sha256=_C0ou46xPnve6T5tOXOntA52FjjGaslMnK48ym6Td64 3692
gpflow/models/vgp.py sha256=Pv9nBa_u8MXRTcsfliOCAG3H1ujlg5-kqg_2dtyjTLs 15454
gpflow/monitor/__init__.py sha256=5SEXp4ZYgP-fDkonESI5xY5Md-rhbQS16r0Xe8MC-34 915
gpflow/monitor/base.py sha256=7s1a8DwiUTeBNXTEzQiWm4zsISOot3J_GOc-7gBSrCE 5300
gpflow/monitor/tensorboard.py sha256=3IyXvyI1G0o4hmF6L5SQGvl3onnbDrMtmWZugvXCO5E 9176
gpflow/optimizers/__init__.py sha256=eCX0W72LXRhD0wVyz9Z-tPReIaYGsueYzf1xBUe22zs 269
gpflow/optimizers/mcmc.py sha256=NB0LCvgmry4JoTgfsN1DBDSHMkYniVgVgw3y_feOdeM 5294
gpflow/optimizers/natgrad.py sha256=yODrrr_gGjH7HZT96h3XQiZ7zyKBdkJuSoaimsKAIx4 18177
gpflow/optimizers/scipy.py sha256=aDrH42HvzVFlvftSt0mFRVDzfwEMZ7KbgePLqIcYW8s 13187
gpflow/quadrature/__init__.py sha256=okeJe2qSJhHdpz-pzNVxYIwROVfxya3_ytE-Iw8L75I 360
gpflow/quadrature/base.py sha256=CkPVtNDf_CbmqeV2_2NdQCHfSIzdMxBspngNmb1wYhY 4887
gpflow/quadrature/deprecated.py sha256=LXDXjYFaBswclofPC4ZIeqVr788SicU-unfMHNVdP5M 9494
gpflow/quadrature/gauss_hermite.py sha256=U0FDDf-XToloZ4GgfNaYJCuCFYbfQYaZSq-ltQeABQg 5590
gpflow/utilities/__init__.py sha256=XBkCcSWivZsxNYm2_y5oYBJIZ11IUpftpk6PI9jxb80 1217
gpflow/utilities/bijectors.py sha256=eZFSPqHoL9tFgdO-m7FyGd-8RQ47eNmj3YzOLwv3EXE 2169
gpflow/utilities/misc.py sha256=E7Z-QQMpdLUHkZQV7ACzPKYCyc9TZ1ZQi7aEyavbW7w 3724
gpflow/utilities/model_utils.py sha256=iSzTi4XmFPZRVsBMcfaBnDpmkRTLCuOWU2__HS0NVjU 1547
gpflow/utilities/multipledispatch.py sha256=7lItXpQzMbZ_EFtzyRHZL01nilYMGeKrzMk74X5Hpdw 3325
gpflow/utilities/ops.py sha256=OevUcXWcfe2mk9jG2bZBAf03vHZH2gjNWju2owZ64C4 5626
gpflow/utilities/parameter_or_function.py sha256=X7pbifRX6XL-vv6P1jcrMSShz34tNgSTqsZJ7mjGXVE 1736
gpflow/utilities/traversal.py sha256=xUoOgIkFg23hmc0iEO8ApwaJ3gbjpMdV9SW_AMvFji8 14015
tests/gpflow/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/conftest.py sha256=2JtMgAI0MwBh1e0Q0E1PSnrVkk7RRI6yguu5RZCJW8k 1278
tests/gpflow/test_all.py sha256=3uulTvBJ25ARLe8xvSmUODSgzeFQIpR5BPzTVXJbGnM 3877
tests/gpflow/test_base.py sha256=mq7bVDyDkhK-oORCOWebpHaQ6Ek0qknWgRGgoyN0LwE 9354
tests/gpflow/test_base_prior.py sha256=o1BQWLNGMOM1mXF5KMqr0rI1K5t9hQjibFIzp2Pr56I 4993
tests/gpflow/test_base_training.py sha256=Fct3Fp7jEIxsu4quS4-DAI2G6rQVWiOrILCPMSoDclg 4057
tests/gpflow/test_functions.py sha256=B_ZUbokZXA059qtMUGkXsfZwiXhL0iOfrjksisf5Okg 14003
tests/gpflow/test_inducing_variables.py sha256=izcNfD8Sz-bT0mDv_tFyR-sAJZrIi6gN0u0wCfT3uuM 4391
tests/gpflow/test_initial_value.py sha256=bt9-bIWhBzoZD0deUNyFEpCcohvffLZai2_2MEGDv_Q 5127
tests/gpflow/test_kullback_leiblers.py sha256=H75GNj4rUxCguiGaI41fUZ5YiWOx588RZ5MRCCNPdZ0 9171
tests/gpflow/test_logdensities.py sha256=jYDRftQ5cXTVProlXXpMgtHYpz0bvXY4iWOo0tzSjag 4339
tests/gpflow/test_monitor.py sha256=3oowCFrhHktSx-bSuWURfuzvwkYaHzEb3GMPiDFi3ig 10394
tests/gpflow/conditionals/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/conditionals/test_broadcasted_conditionals.py sha256=CLwQqQM3jv4iLfmQ3GLNXbduLsT0wj_6gCAS0VSINT4 7895
tests/gpflow/conditionals/test_conditionals.py sha256=OTOconjEDQ4B_MRVloM7YOJ1RX9H2CQlE8P4K22-ILc 6959
tests/gpflow/conditionals/test_multioutput.py sha256=crHLARuTgmb5g2iRq_BIZRItZ3rWPdrJukn1RNLk_f0 32563
tests/gpflow/conditionals/test_uncertain_conditional.py sha256=PkuQvQmW3aufb1gOA0-hMH7nl3lruYM3kqz_ct9D8bA 10722
tests/gpflow/conditionals/test_util.py sha256=23m7ctNed8mQVruPKZMSB_urthxS1F1CBu9MvJ-nc9c 4537
tests/gpflow/config/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/config/test_config.py sha256=EbTqDDUGzzFhU7COprJEfYVM1Ly0Z_ncNuzcZ_bcqEw 6991
tests/gpflow/covariances/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/covariances/test_base_covariances.py sha256=O4CEwIQcJyVkOwKCPkCjtMi_2H7ofxtIGZE3GH6F6P8 4244
tests/gpflow/covariances/test_multioutput.py sha256=4I-uNQX7CHbcLn4-ERTbbiu4gk8ETcG8IzhwrJEoGqc 4968
tests/gpflow/expectations/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/expectations/test_expectations.py sha256=xw3t3pgsuBYpF_gJcMUH950HPQYLAT6E4Kv-e3lHBHE 12176
tests/gpflow/experimental/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/experimental/test_utils.py sha256=4jmn6jbbdg1aC2JdpGQU0bibLtrcWH5VIGMprFFdto0 954
tests/gpflow/kernels/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/kernels/reference.py sha256=qKEEbWGdwE3AcFOcURFCb9k2aPAP-L8ML56OZLIPusE 3473
tests/gpflow/kernels/test_broadcasting.py sha256=SQPOvLseR4E4N1kILv_qyPXws4hjfbuFPGqKGt8dV3I 9302
tests/gpflow/kernels/test_changepoints.py sha256=T9PwicBdML2KJR7ETZpYEHUw5RZ_GfJwGy3rOgfwd2E 475
tests/gpflow/kernels/test_coregion.py sha256=MvR8zQKDsjbJghVc0arDiDcY7IqXZXzV1PUvUChCIB8 7805
tests/gpflow/kernels/test_kernels.py sha256=22OqSd_Ec7Dk6rzy2PIa2On5LSZmaM3l_fddergIMX0 23223
tests/gpflow/kernels/test_positive_semidefinite.py sha256=jPUpgW-0Uio9eh7PV-vakgtBcc05ZO2vgEZ0soyp6qc 2071
tests/gpflow/kernels/test_scaled_euclid_dist.py sha256=3mtIIHiAwJBcJPRi9Zqzo_uYBt_R70A87DH2QA7wSrE 1940
tests/gpflow/likelihoods/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/likelihoods/test_function_params.py sha256=PwWOZkENkvkWocPPGzXlDVOQWyQGstq4IU3LGeMlRjo 7752
tests/gpflow/likelihoods/test_heteroskedastic.py sha256=sehSppzk29DbU2HGbshJMmzOXyYTWAWDtBnmjWJXmqs 1688
tests/gpflow/likelihoods/test_heteroskedastic_constant_variance.py sha256=lz_rVS8AwX3cpeVJT4yNMHoMKDS0zl2ZH_C3PH3R6l0 5586
tests/gpflow/likelihoods/test_likelihoods.py sha256=az0-uBnS4PjEBcd6Du3eV0QwM6PuRi_ZNmK7Xl4DYjk 11288
tests/gpflow/likelihoods/test_multiclass.py sha256=ALqdC3WyrACWKEfJS4Papybbjyb8hSISE8NMPChFgzw 8111
tests/gpflow/likelihoods/test_switched_likelihood.py sha256=nuWXavaRknisk4iJjKIzam7sGqwgOLvWr4j4g0DvQsI 7141
tests/gpflow/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/models/test_cglb.py sha256=AYcV7FM09ubWB3VtNe2to880Y9a9SqaKk07gTGR7_Ds 6499
tests/gpflow/models/test_gplvm.py sha256=8MB_eM5s_AMfaof_huPesuudQILIt-p0z_UWCusHF6A 3806
tests/gpflow/models/test_gpr.py sha256=APE_tj4gyayfGmS3UPojsCm2xwcLlniRuLdeHCIWoQA 2220
tests/gpflow/models/test_gpr_posterior.py sha256=95PT84smRldGjZInAtX1-P-TP5gAcEW303TMFSLJFcE 2496
tests/gpflow/models/test_mcmc.py sha256=TwOH4U-ZYUeIAHD4ccodGRYmHt82fv9NTeBlWcSYRKM 1814
tests/gpflow/models/test_methods.py sha256=PqCRMiSNqCBAsIY7JAOXDmrjmuIrsLGfO5XjUhtKF2A 3101
tests/gpflow/models/test_model_predict.py sha256=lJ4Nwg1KhqndbBGtTcKeTGfZXNQTO5PfkPmaVCX3bDg 7970
tests/gpflow/models/test_sgpr.py sha256=8G6RKddEd0myqaxtsOQJN_cHWGDAqVMKkMVlqVAZWTI 2603
tests/gpflow/models/test_sgpr_posterior.py sha256=tLyYju8wsgouv7yo_fO85HGycB_j697Z9CljPbPMr2s 4189
tests/gpflow/models/test_svgp.py sha256=xmeRr_YvgblmSjYeFdAHjcXqpOnzxPPDfB74s2T4xMk 6718
tests/gpflow/models/test_svgp_posterior.py sha256=-eM249V2Ev2N77Z-Dzz3ExDOLxkGvqQyBeai3-4uoYg 3056
tests/gpflow/models/test_training_mixins.py sha256=Sb7EdlVlIedaJiIYtgckNBDnoWLznB4tjiD89__OJ0Y 1042
tests/gpflow/models/test_variational.py sha256=Xn7AABGZ9ZQA8gQrUcysDnUA7R8Y6xMq09W3mypQYDg 8714
tests/gpflow/models/test_vgp.py sha256=tq4cmmkmft5ZnNTpKIQOwgzCuVTI4HkHB_0IPmCPPe4 1991
tests/gpflow/models/test_vgp_posterior.py sha256=AEVZ_YEckCaEzZEr4Mjvj01BbN2T-5O_SQfxKw9Eido 2997
tests/gpflow/optimizers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/optimizers/test_mcmc.py sha256=tVtaXtHLZrb6UTLXeU2_iMmkPKCTCVMDQ7OL9G-1b3w 7811
tests/gpflow/optimizers/test_natural_gradient.py sha256=Jo27gfnEFVZ7dBaPe59XGaZ4buZF-thMtZTv_u7ozGc 6341
tests/gpflow/optimizers/test_scipy.py sha256=dFBaLTaqjo3EA7sDGSlnYqvAzspwOQiu3DQj4AuE6QE 19058
tests/gpflow/posteriors/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/posteriors/conftest.py sha256=051hqiD52Dw0p-zSMPQNOvoFYNYxd6OzDDCrjKiWUlQ 2280
tests/gpflow/posteriors/test_bo_integration.py sha256=STF8tmoK2eXZN5qxO4qE1_MEy7iukUxMdYSO5lF_xgw 13721
tests/gpflow/posteriors/test_posteriors.py sha256=F2PriXYJopHuYbpdx-VLa9TITr9mqnKqWMguHKkjuhI 27405
tests/gpflow/utilities/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/gpflow/utilities/test_bijectors.py sha256=EXQN_plfpTHpq_UQfhn7Z1uU_ZH_RHvddOgEwS44BE8 2224
tests/gpflow/utilities/test_deepcopy.py sha256=tlLwMWFqhR6MPbG79MMtTEBsF2ZpSCulJwzirauzrdo 3094
tests/gpflow/utilities/test_misc.py sha256=dAsUdRLRs43e3bC3f2bOOo7hbwzA8w1_Ac3qt1NxnAU 2740
tests/gpflow/utilities/test_model_utils.py sha256=dT_GghiX7YgSMV5rDkvRR_1y7gdBEoHVCvIVdioM2yw 2785
tests/gpflow/utilities/test_multipledispatch.py sha256=-Rit9cN2W7g9YrHP7js2XY03POO4Ta_X3Q6JSSJjzmE 3422
tests/gpflow/utilities/test_ops.py sha256=XDFekOuNKyrX4j3Cldcn7s3h4cYW0BEJyiW9pgVHd0s 2251
tests/gpflow/utilities/test_parameter_or_function.py sha256=l1Z7SefXfZFmYRkHjPRlhPVXMIay4OS8VP8LYBMaUFo 3234
tests/gpflow/utilities/test_set_trainable.py sha256=4zQ35Nc3QT7OpRioLMBp-TAtXt1t-Lp8nSJKe01f2DQ 1232
tests/gpflow/utilities/test_training_loop.py sha256=pIARnesiQ4Nod1bXZzCjbfMysndPaapkUmgUZQwlBYI 1845
tests/gpflow/utilities/test_traversal.py sha256=FQM43YRmMkV4i-P0teUxp8NuYznsOk5W2NPId3zFXC4 21357
tests/gpflow/utilities/test_utilities.py sha256=ZWeAZIMY5qqnIyFog6dSYDoSP_PZ4zOGDUIJm49bgPQ 1226
tests/integration/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/integration/test_benchmark.py sha256=8EZGOVWggSshINSaGeVKxS4IfADKVcQUsE2HAG8slwg 2481
tests/integration/test_docs.py sha256=M_v3684UvvAYK0gUoEPPm2xDq64OZM4CaCw2eC-KaCA 1441
tests/integration/test_dynamic_shapes.py sha256=YK4VvX3jweyZ-mZ7M5Gm8LbYkJQkKMay-4b8JaTZnsg 5442
tests/integration/test_linear_noise.py sha256=bQ2oyqVtBDwDVH0PbfMKkS3xlH4VootX3xrPE8m4GgU 3289
tests/integration/test_method_equivalence.py sha256=6e6oyStHxMspnRgS1L8VDrp38FtUrx8g1aPitAe6GkU 11174
tests/integration/test_model_serialization.py sha256=kFt2pGUp7ScjJxmndOhxL7HZr2KT3rmfILSQE8CRm-Y 1393
tests/integration/test_notebooks.py sha256=QfUxgyyhOmxbDNePRDkVsyX72gyaTmRbOxBEn-6y830 3020
gpflow-2.9.1.dist-info/LICENSE sha256=tAkwu8-AdEyGxGoSvJ2gVmQdcicWw3j1ZZueVV74M-E 11357
gpflow-2.9.1.dist-info/METADATA sha256=1PpzlDQ600Tb239i9bF2JrUbdafokkrssuUL5l8pnak 13226
gpflow-2.9.1.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
gpflow-2.9.1.dist-info/top_level.txt sha256=AZ6tSMz77IEyFxNcoy-qJawfplNTST4QbIAAJlq6mNU 23
gpflow-2.9.1.dist-info/RECORD — —

top_level.txt

benchmark
gpflow
tests