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TensorFlow Probability 0.20.0

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@jburnim jburnim released this 08 May 20:13
· 2 commits to r0.20 since this release

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