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Commits on Apr 24, 2019

• Add dtype_hint argument to JointDistributionCoroutine for user-specifiable

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  Joshua V. Dillon

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Commits on Apr 23, 2019

• Preserve Shapes in Permutate Bijector

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• Ensure tfd.Distribution.__str__ and tfd.Distribution.__repr__ handle

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  Joshua V. Dillon

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• Merge pull request tensorflow#374 from skeydan:docfix/metropolishastings

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• Ensure Bijector caching also works for np.ndarray objects.

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  Joshua V. Dillon

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• Internal Numpy Backend Changes: Add logic to handle None in tf.placeholder_with_default and add two commonly used tf.errors.

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  Joshua V. Dillon

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• Avoid module load time Tensor instantiation (i.e. Exp calls PowerTransform which does a convert_to_tensor).

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Commits on Apr 22, 2019

• Refactor JointDistribution*, moving shared logic into base class.

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  Joshua V. Dillon

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• correct log_acceptance_probability

  

  Sigrid Keydana

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Commits on Apr 20, 2019

• Add additinal np backend functions, eg, tf.math.igamma*, tf.random.gamma.

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  Joshua V. Dillon

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Commits on Apr 19, 2019

• Add tfp.distributions.JointDistributionCoroutine for specifying simple

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• Bump TF version dependency from 1.11 to 1.13

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• GP[RM]: Allow prediction at other index_points than those specified at construction.

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• Cleanup additional distribution references to shape.as_list and shape.is_fully_defined.

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  Joshua V. Dillon

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• Replace use of tensor_util.constant_value_as_shape with new tensorshape_util.constant_value_as_shape that is compatible with the numpy backend.

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• Multilevel Modeling Primer Example notebook.

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• Add internal utilities for dealing with nested args and functions.

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Commits on Apr 18, 2019

• Add uniform numpy backend random number generato and ensure eye is in

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  Joshua V. Dillon

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• Merge pull request tensorflow#360 from jeffpollock9:master

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• Replace bijector references of tf.debugging.assert_same_float_dtype with

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  Joshua V. Dillon

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• Fix TransformedDistribution to correctly handle the case where distribution.name is None.

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• Merge pull request tensorflow#368 from trainorpj:gpr-doc-fix

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• Replace deprecated get_shape with shape and .set_shape with tensorshape_util.set_shape to enable numpy backend.

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  Joshua V. Dillon

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• Internal change

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  csuter

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• Add JointDistributionNamed, a joint distribution parameterized by a dict of distribution-making functions.

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  Joshua V. Dillon

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• Recast GaussianProcessRegressionModel as a subclass of GaussianProcess

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• Remove default None initializations for Beta and LogNormal parameters.

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• Snapshot the locals before creating more locals. Avoids failures like TypeError: __init__() got an unexpected keyword argument 'parameters' in distribution_properties_test

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Commits on Apr 17, 2019

• Add additional numpy backend functionality for faking gradients and Keras related layers.

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  Joshua V. Dillon

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• "Include what you use" cleanups to {distributions,bijectors,internal}/BUILD.

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  Joshua V. Dillon

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Commits on Apr 16, 2019

• Add more numpy backend functionality: tf.compat.v1 and tf.random.

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  Joshua V. Dillon

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• Silence deprecation warnings when re-constructing the kernel in TransformedTransitionKernel.

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  SiegeLordEx

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• Unify more assertion logic: tf.debugging.assert_same_float_dtype ->

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  Joshua V. Dillon

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• Add numpy backend fake assertions.

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  Joshua V. Dillon

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• fixed typos and bugs in gaussian_process doc

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