API for enweg/BFluxR
Implementation of Bayesian Neural Networks

Global functions
.install_pkg	Man page Source code
.julia_project_status	Man page Source code
.set_seed	Man page Source code
.using	Man page Source code
BNN	Man page Source code
BNN.totparams	Man page Source code
BayesFluxR	Man page
BayesFluxR-package	Man page
BayesFluxR_setup	Man page Source code
Chain	Man page Source code
Dense	Man page Source code
Gamma	Man page Source code
InverseGamma	Man page Source code
LSTM	Man page Source code
Normal	Man page Source code
RNN	Man page Source code
Truncated	Man page Source code
bayes_by_backprop	Man page Source code
find_mode	Man page Source code
get_random_symbol	Man page Source code
initialise.allsame	Man page Source code
likelihood.feedforward_normal	Man page Source code
likelihood.feedforward_tdist	Man page Source code
likelihood.seqtoone_normal	Man page Source code
likelihood.seqtoone_tdist	Man page Source code
madapter.DiagCov	Man page Source code
madapter.FixedMassMatrix	Man page Source code
madapter.FullCov	Man page Source code
madapter.RMSProp	Man page Source code
mcmc	Man page Source code
ndims	Source code
opt.ADAM	Man page Source code
opt.Descent	Man page Source code
opt.RMSProp	Man page Source code
posterior_predictive	Man page Source code
prior.gaussian	Man page Source code
prior.mixturescale	Man page Source code
prior_predictive	Man page Source code
sadapter.Const	Man page Source code
sadapter.DualAverage	Man page Source code
sampler.AdaptiveMH	Man page Source code
sampler.GGMC	Man page Source code
sampler.HMC	Man page Source code
sampler.SGLD	Man page Source code
sampler.SGNHTS	Man page Source code
summary.BNN	Man page Source code
tensor_embed_mat	Man page Source code
test_setup	Source code
to_bayesplot	Man page Source code
vi.get_samples	Man page Source code