semvec/pypi-packages huggingface dataset:
varibayes 0.0.1
A toolbox for performing variational Bayesian inference
License: MIT License
Keywords: variational bayes inference

Variational Bayesian Inference Toolbox

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This module is inspired by the paper 'Black Box Variational Inference'
by Rajesh Ranganath et al. It attempts to make nearly trivial the task
of fitting a variational distribution to a user-specified log-likelihood
function without derivatives. Currently it only uses a
mean field variational distribution, but the main class 
VariationalInferenceMF is flexible enough for simple subclassing in the
future. This module also contains a number of implementations of
stochastic gradient descent algorithms to be used for optimization.