Index

_

__init__() (pysgmcmc.models.bayesian_neural_network.BayesianNeuralNetwork method) (pysgmcmc.models.losses.NegativeLogLikelihood method) (pysgmcmc.optimizers.sghmc.SGHMC method) (pysgmcmc.optimizers.sgld.SGLD method) (pysgmcmc.progressbar.TrainingProgressbar method) (pysgmcmc.samplers.mixin.SamplerMixin method)

__next__() (pysgmcmc.samplers.mixin.SamplerMixin method) __weakref__ (pysgmcmc.models.bayesian_neural_network.BayesianNeuralNetwork attribute) (pysgmcmc.progressbar.TrainingProgressbar attribute) (pysgmcmc.samplers.mixin.SamplerMixin attribute) _keep_sample() (pysgmcmc.models.bayesian_neural_network.BayesianNeuralNetwork method)

B

BayesianNeuralNetwork (class in pysgmcmc.models.bayesian_neural_network)

F

forward() (pysgmcmc.models.losses.NegativeLogLikelihood method)

G

get_loss() (in module pysgmcmc.models.losses)

get_name() (in module pysgmcmc.torch_utils)

I

infinite_dataloader() (in module pysgmcmc.data.utils)

N

NegativeLogLikelihood (class in pysgmcmc.models.losses)

network_weights (pysgmcmc.models.bayesian_neural_network.BayesianNeuralNetwork attribute)

P

parameters (pysgmcmc.samplers.mixin.SamplerMixin attribute) pysgmcmc.data.utils (module) pysgmcmc.models (module) pysgmcmc.models.architectures (module) pysgmcmc.models.losses (module) pysgmcmc.models.priors (module) pysgmcmc.optimizers (module)

pysgmcmc.optimizers.sghmc (module) pysgmcmc.optimizers.sgld (module) pysgmcmc.progressbar (module) pysgmcmc.samplers (module) pysgmcmc.samplers.mixin (module) pysgmcmc.samplers.sghmc (module) pysgmcmc.samplers.sgld (module) pysgmcmc.torch_utils (module)

S

sample_step() (pysgmcmc.samplers.mixin.SamplerMixin method) SamplerMixin (class in pysgmcmc.samplers.mixin) SGHMC (class in pysgmcmc.optimizers.sghmc) (class in pysgmcmc.samplers.sghmc)

SGLD (class in pysgmcmc.optimizers.sgld) (class in pysgmcmc.samplers.sgld) step() (pysgmcmc.optimizers.sghmc.SGHMC method) (pysgmcmc.optimizers.sgld.SGLD method)

T

to_bayesian_loss() (in module pysgmcmc.models.losses)

train() (pysgmcmc.models.bayesian_neural_network.BayesianNeuralNetwork method) TrainingProgressbar (class in pysgmcmc.progressbar)