Tensorflow-probability

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

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

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

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

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
- ursk

Release notes

This is the 0.19.0 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.11 and JAX 0.3.25 .


Change notes


* Bijectors
- Added `UnitVector` bijector to map to the unit sphere.


* Distributions
- Added noncentral Chi2 distribution to TFP.
- Added differentiable quantile and cdf function approximation to NC2 distribution.
- Added quantiles to Student-T, Beta and SigmoidBeta, with efficient
implementations for Student-T quantile/cdf.
- Allow structured index points to `GaussianProcess*` classes.
- Improved efficiency of `GaussianProcess*` gradients through custom gradients
on `log_prob`.

* Linear Algebra
- Added functions (with custom gradients) to handle Hermitian Symmetric Positive-definite matrices:
- `tfp.math.hspd_logdet`
- `tfp.math.hpsd_quadratic_form_solve` and `tfp.math.hpsd_quadratic_form_solvevec`
- `tfp.math.hpsd_solve` and `tfp.math.hpsd_solvevec`

* Optimizer
- BUGFIX: Prevent Hager-Zhang linesearch from terminating early.

* PSD Kernels
- Added support for structured inputs in PSD Kernel.

* STS
- Added seasonality support to STS Gibbs Sampler.

* Other
- BUGFIX: Allow jnp.bfloat16 arrays to be correctly recognized as floats.


Huge thanks to all the contributors to this release!

- Brian Patton
- Chen Qian
- Christopher Suter
- Colin Carrol
- Emily Fertig
- Francois Chollet
- Ian Langmore
- Jacob Burnim
- Jonas Eschle
- Kyle Loveless
- Leandro Campos
- Du Phan
- Pavel Sountsov
- Sebastian Nowozin
- Srinivas Vasudevan
- Thomas Colthurst
- Umer Javed
- Urs Koster
- Yash Katariya