Index

B

backbone_network (mindspore.nn.probability.bnn_layers.WithBNNLossCell property)

C

ConditionalVAE (class in mindspore.nn.probability.dpn)

construct() (mindspore.nn.probability.dpn.ConditionalVAE method) ConvReparam (class in mindspore.nn.probability.bnn_layers)

D

DenseLocalReparam (class in mindspore.nn.probability.bnn_layers)

DenseReparam (class in mindspore.nn.probability.bnn_layers)

E

ELBO (class in mindspore.nn.probability.infer)

eval_aleatoric_uncertainty() (mindspore.nn.probability.toolbox.UncertaintyEvaluation method) eval_epistemic_uncertainty() (mindspore.nn.probability.toolbox.UncertaintyEvaluation method)

G

generate_sample() (mindspore.nn.probability.dpn.ConditionalVAE method) (mindspore.nn.probability.dpn.VAE method)

get_train_loss() (mindspore.nn.probability.infer.SVI method)

M

mindspore.nn.probability module

module mindspore.nn.probability

N

NormalPosterior (class in mindspore.nn.probability.bnn_layers)

NormalPrior (class in mindspore.nn.probability.bnn_layers)

P

predict_outlier() (mindspore.nn.probability.toolbox.VAEAnomalyDetection method)

predict_outlier_score() (mindspore.nn.probability.toolbox.VAEAnomalyDetection method)

R

reconstruct_sample() (mindspore.nn.probability.dpn.ConditionalVAE method) (mindspore.nn.probability.dpn.VAE method)

run() (mindspore.nn.probability.infer.SVI method)

S

std_trans() (mindspore.nn.probability.bnn_layers.NormalPosterior method)

SVI (class in mindspore.nn.probability.infer)

T

train() (mindspore.nn.probability.toolbox.VAEAnomalyDetection method) transform_to_bnn_layer() (mindspore.nn.probability.transforms.TransformToBNN method)

transform_to_bnn_model() (mindspore.nn.probability.transforms.TransformToBNN method) TransformToBNN (class in mindspore.nn.probability.transforms)

U

UncertaintyEvaluation (class in mindspore.nn.probability.toolbox)

V

VAE (class in mindspore.nn.probability.dpn)

VAEAnomalyDetection (class in mindspore.nn.probability.toolbox)

W

WithBNNLossCell (class in mindspore.nn.probability.bnn_layers)