Change log All releases

sgmcmc 0.2.4

  • Bug fixes

sgmcmc 0.2.3

  • Added support for TensorFlow Probability.

sgmcmc 0.2.2

  • Made loading TensorFlow distribution objects cleaner.

sgmcmc 0.2.1

  • Added better support for sparse variables and minibatching parameters.

sgmcmc 0.2.0

  • Added the ability to run algorithms step by step. This allows custom storage of parameters, useful when the full chain does not fit into memory!
  • Added new vignette to demonstrate step by step functionality – a Bayesian neural network model.
  • Changed optimizer to TensorFlow SGDOptimizer for control variate methods.

sgmcmc 0.1.0

  • Initial release.