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@dependabot dependabot bot commented on behalf of github Feb 15, 2022

Bumps tensorflow-probability from 0.14.0 to 0.16.0.

Release notes

Sourced from tensorflow-probability's releases.

TensorFlow Probability 0.16.0

Release notes

This is the 0.16.0 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.8.0 and JAX 0.3.0 .

Change notes

[coming soon]

Huge thanks to all the contributors to this release!

[coming soon]

TensorFlow Probability 0.15.0

Release notes

This is the 0.15 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.7.0.

Change notes

  • Distributions

    • Add tfd.StudentTProcessRegressionModel.
    • Distributions' statistics now all have batch shape matching the Distribution itself.
    • JointDistributionCoroutine no longer requires Root when sample_shape==().
    • Support sample_distributions from autobatched joint distributions.
    • Expose mask argument to support missing observations in HMM log probs.
    • BetaBinomial.log_prob is more accurate when all trials succeed.
    • Support broadcast batch shapes in MixtureSameFamily.
    • Add cholesky_fn argument to GaussianProcess, GaussianProcessRegressionModel, and SchurComplement.
    • Add staticmethod for precomputing GPRM for more efficient inference in TensorFlow.
    • Add GaussianProcess.posterior_predictive.
  • Bijectors

    • Bijectors parameterized by distinct tf.Variables no longer register as ==.
    • BREAKING CHANGE: Remove deprecated AffineScalar bijector. Please use tfb.Shift(shift)(tfb.Scale(scale)) instead.
    • BREAKING CHANGE: Remove deprecated Affine and AffineLinearOperator bijectors.
  • PSD kernels

    • Add tfp.math.psd_kernels.ChangePoint.
    • Add slicing support for PositiveSemidefiniteKernel.
    • Add inverse_length_scale parameter to kernels.
    • Add parameter_properties to PSDKernel along with automated batch shape inference.
  • VI

    • Add support for importance-weighted variational objectives.
    • Support arbitrary distribution types in tfp.experimental.vi.build_factored_surrogate_posterior.
  • STS

... (truncated)

Commits
  • 88d217d Set version for TFP 0.16.0 release.
  • 1407b47 Add tfp.experimental.psd_kernels.AdditiveKernel.
  • 6e83921 Thread STS name into its joint distribution
  • afbc1a5 Remove usage of deprecated layer API.
  • 1d651d6 Add an is_missing argument to GaussianProcess.log_prob.
  • 93e0365 Fix typo.
  • 273eba3 Add tfp.math.psd_kernels.SpectralMixture.
  • 20c4ce2 Add experimental multi-task kernels and multi-task GPs.
  • 53e48fd Update collections.Iterable to collections.abc.Iterable for Python 3.10.
  • 08a3bb1 Update generated tensor_shape file in the Numpy backend.
  • Additional commits viewable in compare view

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@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Feb 15, 2022
@dependabot dependabot bot force-pushed the dependabot/pip/python/requirements/ml/tensorflow-probability-0.16.0 branch from ea2d3c0 to 5109157 Compare March 25, 2022 22:00
Bumps [tensorflow-probability](https://github.com/tensorflow/probability) from 0.14.0 to 0.16.0.
- [Release notes](https://github.com/tensorflow/probability/releases)
- [Commits](tensorflow/probability@v0.14.0...v0.16.0)

---
updated-dependencies:
- dependency-name: tensorflow-probability
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot force-pushed the dependabot/pip/python/requirements/ml/tensorflow-probability-0.16.0 branch from 5109157 to d1941fc Compare October 28, 2022 05:55
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