Bump tensorflow-probability from 0.19.0 to 0.21.0 #35
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…gfaults appear with very small datasets (testing).
Possibility to tune random_state in feature selection. Useful when se…
Bumps [tensorflow-probability](https://github.com/tensorflow/probability) from 0.19.0 to 0.21.0. - [Release notes](https://github.com/tensorflow/probability/releases) - [Commits](tensorflow/probability@v0.19.0...v0.21.0) --- updated-dependencies: - dependency-name: tensorflow-probability dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <[email protected]>
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Bumps tensorflow-probability from 0.19.0 to 0.21.0.
Release notes
Sourced from tensorflow-probability's releases.
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Commits
6d5fb16Update version and TF version requirement for TFP 0.21.0 release.714d547Allow unit tests to disable 64 bit precision mode in jax.3f42739Fix batch slicing of precomputed GPRM.6f62a06Fix gamma_exponential psd kernel so that the covariance is8f45820pylint errors3871387changed signature of pivoted_cholesky133809bRestrict range of ndtri_test since numpy is less accurate near the tails.6504bc5Shard student_t_process_test to make it less flaky.fc5dd37Try fixing testSimplexAffine.79c2cf5Make tf2numpy.linalg.eigh return a tuple when numpy version >= 1.25.Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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