TF 2.0 is out! Get hands-on practice at TF World, Oct 28-31. Use code TF20 for 20% off select passes. Register now

Module: tfp.experimental

View source on GitHub

TensorFlow Probability API-unstable package.

This package contains potentially useful code which is under active development with the intention eventually migrate to TFP proper. All code in tfp.experimental should be of production quality, i.e., idiomatically consistent, well tested, and extensively documented. tfp.experimental code relaxes the TFP non-experimental contract in two regards: 1. tfp.experimental has no API stability guarantee. The public footprint of tfp.experimental code may change without notice or warning. 2. Code outside tfp.experimental cannot depend on code within tfp.experimental.

You are welcome to try any of this out (and tell us how well it works for you!).

Modules

auto_batching module: TensorFlow Probability auto-batching package.

edward2 module: Edward2 probabilistic programming language.

mcmc module: TensorFlow Probability experimental NUTS package.

substrates module: TensorFlow Probability alternative substrates.