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Bump tensorflow-probability from 0.11.1 to 0.18.0 #55

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@dependabot dependabot bot commented on behalf of github Oct 1, 2022

Bumps tensorflow-probability from 0.11.1 to 0.18.0.

Release notes

Sourced from tensorflow-probability's releases.

TensorFlow Probability 0.18.0

Release notes

This is the 0.18.0 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.10 and JAX 0.3.17 .

Change notes

[coming soon]

Huge thanks to all the contributors to this release!

[coming soon]

TensorFlow Probability 0.17.0

Release notes

This is the 0.17.0 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.9.1 and JAX 0.3.13 .

Change notes

  • Distributions

    • Discrete distributions transform correctly when a bijector is applied.
    • Fix bug in Taylor approximation of log-normalizing constant for the ContinuousBernoulli.
    • Add TwoPieceNormal distribution and reparameterize it's samples.
    • Make IncrementLogProb a proper tfd.Distribution.
    • Add quantiles to Empirical distribution.
    • Add tfp.experimental.distributions.MultiTaskGaussianProcessRegressionModel
    • Improve efficiency of MultiTaskGaussian Processes in the presence of observation noise: Reduce complexity from O((NT)^3) to O(N^3 + T^3) where N is the number of data points and T is the number of tasks.
    • Improve efficiency of VariationalGaussianProcess.
    • Add tfd.LognNormal.experimental_from_mean_variance.
  • Bijectors

    • Fix Softfloor bijector to act as the identity at high temperature, and floor at low temperature.
    • Remove tfb.Ordered bijector and finite_nondiscrete flags in Distributions.
  • Math

    • Add tfp.math.betainc and gradients with respect to all parameters.
  • STS

    • Several bug fixes and performance improvements to tfp.experimental.sts_gibbs for Gibbs sampling Bayesian structural time series models with sparse linear regression.
    • Enable tfp.experimental.sts_gibbs under JAX

... (truncated)

Commits
  • 68d4382 When using TensorFlow, TFP 0.18 requires TF 2.10+.
  • d1ba88e Update version for the TFP 0.18.0 release.
  • 14db88b Use dtype_util inside LGSSM to infer dtype.
  • 24301c5 Change tfp/experimental to use internal imports to speed up tests.
  • c03f005 Re-enable ZeroInflatedNegativeBinomial in distribution_properties_test.
  • cc84214 Correctly expose sub-distribution parameters in distributions created by
  • 1999fbe Disable ZeroInflatedNegativeBinomial in distribution_properties_test
  • 1784cd6 Block bad tf-nightly release from 2022-09-02 (missing x86 manylinux wheels)
  • 0990bc9 Change stats/, mcmc/, monte_carlo/ optimizer/ and vi/ to use most specific im...
  • de75e2d Update pairwise_square_distance_matrix(x, x) to always have zero diagonals.
  • Additional commits viewable in compare view

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Bumps [tensorflow-probability](https://github.com/tensorflow/probability) from 0.11.1 to 0.18.0.
- [Release notes](https://github.com/tensorflow/probability/releases)
- [Commits](tensorflow/probability@v0.11.1...v0.18.0)

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

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dependabot bot commented on behalf of github Oct 1, 2022

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