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Commits on Oct 4, 2019

• Unpin cloudpickle version.

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• Run Travis tests against latest tf-estimator-nightly.

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Commits on Sep 28, 2019

• Make tfd.Mixture tape-safe.

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Commits on Sep 19, 2019

• Make tfd.MixtureSameFamily tape-safe.

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Commits on Sep 16, 2019

• Ensure event_shape.rank is statically known to be 1 for several Distributions.

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Commits on Sep 6, 2019

• Make tfd.Independent tape-safe.

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Commits on Sep 4, 2019

• Fix bug in DeferredTensor with shape-changing variables.

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Commits on Aug 31, 2019

• Add missing **kwargs in MaskedAutoregressiveFlow bijector.

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• Pass kwargs through tfb.Invert.

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Commits on Aug 19, 2019

• Fix bug in prefer_static.broadcast_shape.

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Commits on Aug 15, 2019

• Test model.fit for V1 dense variational layers.

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Commits on Jul 31, 2019

• Allow event size of 1 in RelaxedOneHotCategorical.

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Commits on Jul 30, 2019

• Allow event size of 1 in OneHotCategorical.

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• Make the ExpRelaxedOneHotCategorical Distribution TF2 tape safe.

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Commits on Jul 29, 2019

• Tiny TF2 cleanup in masked_autoregressive.py.

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Commits on Jul 23, 2019

• Increase sharding of tests on TravisCI.

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• Remove test case causing out-of-memory errors in TravisCI.

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Commits on Jul 22, 2019

• BREAKING CHANGE: Remove deprecated tfd.Chi2WithAbsDf

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• Make OneHotCategorical distribution tape-safe.

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Commits on Jul 18, 2019

• Make Chi and Chi2 distributions TF2 tape-safe.

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Commits on Jun 28, 2019

• Make StudentT distribution "tape-safe".

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• Import tf.compat.v2 as tf and tf.compat.v1 as tf1 in distribution tests

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Commits on Jun 25, 2019

• Make Laplace, Logistic, and LogNormal distributions "tape-safe".

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• Fix typo.

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Commits on Jun 21, 2019

• Make tfd.HalfNormal "tape-safe".

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Commits on Jun 19, 2019

• Remove unneeded lambdas when adding Keras losses in variational layers.

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Commits on Jun 11, 2019

• Turn off --system_site_packages for Travis tests

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Commits on Jun 10, 2019

• Rename some backend/numpy/ files to avoid conflicts with built-in modules.

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Commits on May 17, 2019

• BREAKING CHANGE: Don't pass AutoregressiveNetwork.__init__ kwargs to Dense __init__.

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• Update tf.where -> tf.compat.v1.where.

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Commits on May 8, 2019

• Rename tfb.AutoregressiveLayer to tfb.AutoregressiveNetwork.

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• Support kernel and bias constraints/regularizers/initializers in tfb.AutoregressiveLayer.

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Commits on Apr 30, 2019

• Fix typo in Probabilistic Layers Regression colab.

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Commits on Apr 25, 2019

• Add distribution layer for masked autoregressive flow in Keras.

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• Forward kwargs in MaskedAutoregressiveFlow to support conditional AR flows.

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