View source on GitHub
|
Tools for probabilistic reasoning in TensorFlow.
Modules
bijectors module: Bijective transformations.
debugging module: TensorFlow Probability debugging package.
distributions module: Statistical distributions.
edward2 module: Edward2 probabilistic programming language.
experimental module: TensorFlow Probability API-unstable package.
glm module: TensorFlow Probability GLM python package.
layers module: Probabilistic Layers.
math module: TensorFlow Probability math functions.
mcmc module: TensorFlow Probability MCMC python package.
monte_carlo module: Support for Monte Carlo expectations.
optimizer module: TensorFlow Probability Optimizer python package.
positive_semidefinite_kernels module: Positive-semidefinite kernels package.
stats module: Statistical functions.
sts module: Framework for Bayesian structural time series models.
trainable_distributions module: Support for trainable distributions.
util module: TensorFlow Probability python utilities.
vi module: Methods and objectives for variational inference.