chore(deps): update dependency tensorflow-probability to v0.23.0 - abandoned #271
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This PR contains the following updates:
==0.19.0->==0.23.0Release Notes
tensorflow/probability (tensorflow-probability)
v0.23.0: TensorFlow Probability 0.23Compare Source
Release notes
This is the 0.23.0 release of TensorFlow Probability. It is tested and stable against TensorFlow 2.15.0 and JAX 0.4.20 .
Change notes
[coming soon]
Huge thanks to all the contributors to this release!
v0.22.1: TensorFlow Probability 0.22.1Compare Source
Release notes
This is the 0.22.1 release of TensorFlow Probability. It is tested and stable against TensorFlow 2.14.0 and JAX 0.4.16 and 0.4.19 .
Change notes
See the release note for TFP 0.22.0 at https://github.com/tensorflow/probability/releases/tag/v0.22.0 .
Fixes some NumPy deprecation warnings by no longer casting size-1 arrays to ints.
Dependency typing_extensions is no longer pinned to <4.6.0.
Support for Python 3.8 has been removed starting with TensorFlow Probability 0.22.0.
Huge thanks to all the contributors to this release!
v0.22.0: TensorFlow Probability 0.22.0Compare Source
Release notes
This is the 0.22 release of TensorFlow Probability. It is tested and stable against TensorFlow 2.14.0 and JAX 0.4.16 .
Change notes
Support for Python 3.8 has been removed starting with TensorFlow Probability 0.22.0.
[Coming soon.]
Huge thanks to all the contributors to this release!
v0.21.0: TensorFlow Probability 0.21.0Release notes
This is the 0.21.0 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.13 and JAX 0.4.14 .
Change notes
[no major changes]
Huge thanks to all the contributors to this release!
v0.20.0: TensorFlow Probability 0.20.0Compare Source
Release notes
This is the 0.20 release of TensorFlow Probability. It is
tested and stable against TensorFlow version 2.12 and JAX 0.4.8 .
Change notes
LinearOperatorBasisandLinearOperatorRowBlock.DirichletandRelaxedOneHotCategoricaltransform correctly under bijectors.SphericalSpaceand use in all Spherical DistributionsGeneralSpace.transform_generalalways_yield_multivariante_normalarg totfd.GaussianProcessandtfd.GaussianProcessRegressionModelso that event shape is always [1] for a single index point.bayesoptsubmodule of TFP experimental and add acquisition functions.FeatureScaledWithCategoricalkernel, a PSD kernel over structures of continuous and categorical data, to TFP experimental.Huge thanks to all the contributors to this release!
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