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==0.19.0->==0.23.0Release Notes
tensorflow/probability (tensorflow-probability)
### [`v0.23.0`](https://togithub.com/tensorflow/probability/releases/tag/v0.23.0): TensorFlow Probability 0.23 [Compare Source](https://togithub.com/tensorflow/probability/compare/v0.22.1...v0.23.0) ### 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! - Christopher Suter - Colin Carroll - Jacob Burnim - Juan Martinez - Sergei Lebedev - Sophia Gu - Srinivas Vasudevan ### [`v0.22.1`](https://togithub.com/tensorflow/probability/releases/tag/v0.22.1): TensorFlow Probability 0.22.1 [Compare Source](https://togithub.com/tensorflow/probability/compare/v0.22.0...v0.22.1) ### 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! - Brian Patton - Colin Carroll - Du Phan - Emily Fertig - Fiona Lang - Frederik Gossen - Gabriel Rasskin - Haotian Chen - Jacob Burnim - Jake VanderPlas - Mark McDonald - Oskar Fernlund - Pavel Sountsov - Richard Levasseur - Salman Faroz - Sergei Lebedev - Srinivas Vasudevan - Thomas Colthurst - Urs Köster - Yu Feng ### [`v0.22.0`](https://togithub.com/tensorflow/probability/releases/tag/v0.22.0): TensorFlow Probability 0.22.0 [Compare Source](https://togithub.com/tensorflow/probability/compare/v0.21.0...v0.22.0) ### 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! - Brian Patton - Colin Carroll - Du Phan - Emily Fertig - Fiona Lang - Frederik Gossen - Gabriel Rasskin - Haotian Chen - Jacob Burnim - Jake VanderPlas - Mark McDonald - Oskar Fernlund - Pavel Sountsov - Richard Levasseur - Salman Faroz - Srinivas Vasudevan - Thomas Colthurst - Urs Köster - Yu Feng ### [`v0.21.0`](https://togithub.com/tensorflow/probability/releases/tag/v0.21.0): TensorFlow Probability 0.21.0 ### Release 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! - bjp - chansoo - colcarroll - emilyaf - feyu - flang - Jacob Burnim - jburnim - jcater - juanantoniomc - Matthew Feickert - oskarfernlund - phawkins - schwartzedward - siege - Srinivas Vasudevan - ursk ### [`v0.20.0`](https://togithub.com/tensorflow/probability/releases/tag/v0.20.0): TensorFlow Probability 0.20.0 [Compare Source](https://togithub.com/tensorflow/probability/compare/v0.19.0...v0.20.0) ### 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 - Add `LinearOperatorBasis` and `LinearOperatorRowBlock`. - Ensure `Dirichlet` and `RelaxedOneHotCategorical` transform correctly under bijectors. - Add `SphericalSpace` and use in all Spherical Distributions - Add `GeneralSpace.transform_general` - Fix guitar numpy rewrite_equivalence_test. - BREAKING CHANGE: Ignore deprecated `always_yield_multivariante_normal` arg to `tfd.GaussianProcess` and `tfd.GaussianProcessRegressionModel` so that event shape is always \[1] for a single index point. - Create a `bayesopt` submodule of TFP experimental and add acquisition functions. - Add the `FeatureScaledWithCategorical` kernel, a PSD kernel over structures of continuous and categorical data, to TFP experimental. - \[BREAKING] Remove deprecated arg BDF.use_pfor_to_compute_jacobian. #### Huge thanks to all the contributors to this release! - ashishenoy - atondwal - bjp - Christopher Suter - colcarroll - Colin Carroll - emilyaf - fdtomasi - flang - Jacob Burnim - jburnim - jcater - juanantoniomc - langmore - Leandro Campos - leben - Matthew Feickert - mmladenov - nkovela - Pavel Sountsov - phandu - phawkins - power - S. Amin - siege - Srinivas Vasudevan - synandi - thomaswc - Tirumalesh - ujaved - urskConfiguration
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