Tensorflow-probability

This is the RC0 release candidate of the TensorFlow Probability 0.6 release.

Release Notes

This is the 0.5.0 release of TensorFlow Probability. It's tested and stable against TensorFlow 1.12.

Packaging Change
As of this release, we no longer package a separate GPU-specific build. Users can select the version of TensorFlow they wish to use (CPU or GPU), and TensorFlow Probability will work with both.

As a result, we no longer explicitly list a TensorFlow dependency in our package requirements (since we can't know which version the user will want). If TFP is installed with no TensorFlow package present, or with an unsupported TensorFlow version, we will issue an `ImportError` at time of import.

Distributions & Bijectors
* All `Distribution`s have been relocated from `tf.distributions` to `tfp.distributions` (the ones in TF are deprecated and will be deleted in TF 2.0).
* Add Triangular distribution.
* Add Zipf distribution.
* Add NormalCDF Bijector.
* Add Multivariate Student's t-distribution.
* Add RationalQuadratic kernel.

Documentation & Examples
* Add example showing how to fit GLMM using Variational Inference.
* Introduce Gaussian process latent variable model colab.
* Introduce Gaussian process regression example colab
* Add notebook showcasing GLM algorithms and deriving some results about GLMs that those algorithms leverage.

Huge thanks to all the contributors to this release!
* Akshay Modi
* Alexey Radul
* Anudhyan Boral
* Ashish Saxena
* Ben Zinberg
* Billy Lamberta
* Brian Patton
* Christopher Suter
* Dave Moore
* Ian Langmore
* Joshua V. Dillon
* Kristian Hartikainen
* Malcolm Reynolds
* Pavel Sountsov
* Srinivas Vasudevan
* Xiaojing Wang
* Yifei Feng

This is the RC1 release candidate of the TensorFlow Probability 0.5 release.

This is the RC0 release candidate of the TensorFlow Probability 0.5 release.

Release Notes

This is the 0.4.0 release of TensorFlow Probability. It's tested and stable against TensorFlow 1.11.

Distributions & Bijectors
* All TF core Distributions now live in TFP (old ones are deprecated but still there)
* All TF core Bijectors now live in TFP (old ones are deprecated but still there)
* CDF support for `Independent`
* Seasonal effects and Sum components for Structural Time Series
* Add Half-Cauchy Distribution
* DCT (discrete cosine transform) Bijector
* Support dynamic shapes in BatchNormalization Bijector
* Add InverseGaussian Distribution
* Scaffolding for Bayesian Structural Time Series models
* Add VonMises Distribution
* Add Pareto distrubiton
* Implicit reparameterization for TruncatedNormal

Sampling & Inference
* Various improvements to BFGS and line search methods
* Add `tape` interceptor in Edward2
* GLM fitting with proximal gradient and L1/L2-regularization
* Support nested interceptors in Edward2

Documentation & Examples
* Update docs to point to tfp instead of tf/tf.contrib
* Credit card interest notebook
* Bayesian Neural Net (VGG, ResNet18) examples on CIFAR-10 data
* Disentangled Sequential Autoencoder example
* Eager-mode, single-chain No-U-Turn Sampler
* Grammar VAE example using Edward2
* Deep exponential family example using Edward2
* Latent Dirichlet Allocation example using Edward2
* Factorial Mixtures notebook

Huge thanks to all the contributors to this release!
* Asim Shankar
* Ben Zinberg
* Billy Lamberta
* Brian Patton
* Christopher Suter
* Copybara-Service
* cyrilchimisov
* Dave Moore
* davmre
* Dustin Tran
* Ian Langmore
* jiamingz
* Jiaming Zeng
* Jonathan J Hunt
* Joshua V. Dillon
* Keyon Vafa
* Mark Daoust
* Matthew McAteer
* mgorinova
* mhoffman
* Michael Figurnov
* Mike Dusenberry
* rif
* saxeas
* srvasude
* William D. Irons
* yunhao

This is the 0th release candidate of the 0.4.0 release of TensorFlow Probability.