Index

B

baseNN (class in redbnn.nn.base)

E

evaluate() (redbnn.nn.base.baseNN method) (redbnn.nn.reduced.redBNN method)

execution_time() (in module redbnn.utils.networks)

F

forward() (in module redbnn.bayesian_inference.hmc) (in module redbnn.bayesian_inference.svi) (redbnn.nn.base.baseNN method) (redbnn.nn.reduced.redBNN method)

G

get_activation() (redbnn.nn.base.baseNN method) get_blocks_dict() (in module redbnn.utils.networks) get_first_layer() (in module redbnn.utils.networks)

get_reduced_blocks_dict() (in module redbnn.utils.networks) guide() (in module redbnn.bayesian_inference.svi) (redbnn.nn.reduced.redBNN method)

I

initialize_model() (redbnn.nn.subnetwork.SubNetwork method)

is_learnable() (in module redbnn.utils.networks)

L

load() (in module redbnn.bayesian_inference.hmc) (in module redbnn.bayesian_inference.svi) (redbnn.nn.base.baseNN method) (redbnn.nn.reduced.redBNN method)

load_data() (in module redbnn.utils.data) load_from_pickle() (in module redbnn.utils.pickling)

M

model() (in module redbnn.bayesian_inference.hmc) (in module redbnn.bayesian_inference.svi) (redbnn.nn.reduced.redBNN method) module redbnn redbnn.bayesian_inference redbnn.bayesian_inference.hmc redbnn.bayesian_inference.svi redbnn.nn redbnn.nn.base redbnn.nn.reduced redbnn.nn.subnetwork redbnn.utils redbnn.utils.data redbnn.utils.networks redbnn.utils.pickling redbnn.utils.seeding

R

redbnn module redBNN (class in redbnn.nn.reduced) redbnn.bayesian_inference module redbnn.bayesian_inference.hmc module redbnn.bayesian_inference.svi module redbnn.nn module redbnn.nn.base module

redbnn.nn.reduced module redbnn.nn.subnetwork module redbnn.utils module redbnn.utils.data module redbnn.utils.networks module redbnn.utils.pickling module redbnn.utils.seeding module

S

save() (in module redbnn.bayesian_inference.hmc) (in module redbnn.bayesian_inference.svi) (redbnn.nn.base.baseNN method) (redbnn.nn.reduced.redBNN method)

save_to_pickle() (in module redbnn.utils.pickling) set_seed() (in module redbnn.utils.seeding) SubNetwork (class in redbnn.nn.subnetwork)

T

to() (in module redbnn.bayesian_inference.hmc) (in module redbnn.bayesian_inference.svi) (redbnn.nn.base.baseNN method) (redbnn.nn.reduced.redBNN method) train() (in module redbnn.bayesian_inference.hmc) (in module redbnn.bayesian_inference.svi) (redbnn.nn.base.baseNN method) (redbnn.nn.reduced.redBNN method)

training (redbnn.nn.base.baseNN attribute) (redbnn.nn.reduced.redBNN attribute) (redbnn.nn.subnetwork.SubNetwork attribute) transform_data() (in module redbnn.utils.data) TransformDataset (class in redbnn.utils.data)

U

unpickle() (in module redbnn.utils.pickling)

Z

zero_grad() (redbnn.nn.base.baseNN method)