Bump tensorflow-probability from 0.22.1 to 0.25.0

[dependabot]

Bumps tensorflow-probability from 0.22.1 to 0.25.0.

Release notes

Sourced from tensorflow-probability's releases.

v0.25.0

Release notes

This is the 0.25 release of TensorFlow Probability. It is tested and stable against TensorFlow version 2.18 and JAX 0.4.35.

NOTE: In TensorFlow 2.16+, tf.keras (and tf.initializers, tf.losses, and tf.optimizers) refers to Keras 3. TensorFlow Probability is not compatible with Keras 3 -- instead TFP is continuing to use Keras 2, which is now packaged as tf-keras and tf-keras-nightly and is imported as tf_keras. When using TensorFlow Probability with TensorFlow, you must explicitly install Keras 2 along with TensorFlow (or install tensorflow-probability[tf] or tfp-nightly[tf] to automatically install these dependencies.)

Change notes

• Add mean + variance to tfd.Categorical.

Huge thanks to all the contributors to this release!

• bjp
• Chris Jewell
• Christopher Suter
• colcarroll
• emilyaf
• feyu
• jburnim
• leben
• lukes
• mrry
• phawkins
• siege
• Srinivas Vasudevan
• swijaya
• thomaswc
• ursk
• vanderplas

TensorFlow Probability 0.24.0

Release notes

This is the 0.24.0 release of TensorFlow Probability. It is tested and stable against TensorFlow 2.16.1 and JAX 0.4.25 .

NOTE: In TensorFlow 2.16+, tf.keras (and tf.initializers, tf.losses, and tf.optimizers) refers to Keras 3. TensorFlow Probability is not compatible with Keras 3 -- instead TFP is continuing to use Keras 2, which is now packaged as tf-keras and tf-keras-nightly and is imported as tf_keras. When using TensorFlow Probability with TensorFlow, you must explicitly install Keras 2 along with TensorFlow (or install tensorflow-probability[tf] or tfp-nightly[tf] to automatically install these dependencies.)

Change notes

• TensorFlow Probability now supports Python 3.12.

  • But note that many parts of tfp.layers and tfp.experimental.nn will raise errors because of a TensorFlow + wrapt bug (see tensorflow/tensorflow#60687 ), which can be worked around by setting the environment variable WRAPT_DISABLE_EXTENSIONS=true.

• Added an experimental implementation of Chopin, Jacob, Papaspiliopoulos, "SMC^2: an efficient algorithm for sequential analysis of state-space models", Journal of the Royal Statistical Society Series B: Statistical Methodology 75.3 (2013). See https://github.com/tensorflow/probability/blob/v0.24.0/tensorflow_probability/python/experimental/mcmc/particle_filter.py#L766 .

• Added tfp.experimental.fastgp, a library for approximately training and evaluating Gaussian Processes in sub-O(n^3) time. See https://github.com/tensorflow/probability/tree/r0.24/tensorflow_probability/python/experimental/fastgp .

... (truncated)

Commits

• 9709569 Promote TFP version from dev to stable
• cd782bb Increment TF dep version
• 5047529 Disable test_gradient_with_additional_parameters for JAX backend.
• b0a692b Update scipy.integrate.simps -> .simpson.
• a90fe8f Use assertIn instead of assertContainsSubsequence for substring checks.
• ee09c17 Automated Code Change
• 59b3651 Update tensor_shape.py for JAX/NumPy backend.
• 4b8182b Bound concentration away from zero for hp testing.
• ebc43b5 [numpy] Fix test failures under NumPy 2.1.
• c6c86e7 Disable MLIR bridge for the tests that MLIR bridge silently fails
• Additional commits viewable in compare view

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