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Installation
Quickstart
Tutorials
CLI Guide
API Reference
Contributing
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GitHub
Section Navigation
ClassificationRoutine
SegmentationRoutine
RegressionRoutine
PixelRegressionRoutine
ResNetBaseline
VGGBaseline
WideResNetBaseline
MLPBaseline
DeepLabBaseline
SegFormerBaseline
BTSBaseline
PackedLinear
PackedConv2d
PackedMultiheadAttention
PackedLayerNorm
PackedTransformerEncoderLayer
PackedTransformerDecoderLayer
BatchLinear
BatchConv2d
MaskedLinear
MaskedConv2d
BayesLinear
BayesConv1d
BayesConv2d
BayesConv3d
LPBNNLinear
LPBNNConv2d
NormalLinear
LaplaceLinear
CauchyLinear
StudentTLinear
NormalInverseGammaLinear
NormalConvNd
LaplaceConvNd
CauchyConvNd
StudentTConvNd
NormalInverseGammaConvNd
batch_ensemble
deep_ensembles
mc_dropout
BatchEnsemble
CheckpointCollector
EMA
MCDropout
StochasticModel
SWA
SWAG
BrierScore
CategoricalNLL
FPRx
FPR95
AUGRC
AURC
CovAtxRisk
CovAt5Risk
RiskAtxCov
RiskAt80Cov
AdaptiveCalibrationError
CalibrationError
CoverageRate
SetSize
Disagreement
Entropy
MutualInformation
VariationRatio
GroupingLoss
DistributionNLL
Log10
MeanAbsoluteErrorInverse
MeanGTRelativeAbsoluteError
MeanGTRelativeSquaredError
MeanSquaredErrorInverse
MeanSquaredLogError
SILog
ThresholdAccuracy
MeanIntersectionOverUnion
SegmentationBinaryAUROC
SegmentationBinaryAveragePrecision
SegmentationFPR95
AUSE
BCEWithLogitsLSLoss
BetaNLL
ConflictualLoss
ConfidencePenaltyLoss
DECLoss
DERLoss
DistributionNLLLoss
ELBOLoss
FocalLoss
KLDiv
LaplaceApprox
MCBatchNorm
MatrixScaler
TemperatureScaler
VectorScaler
TUOODCriterion
MaxLogitCriterion
EnergyCriterion
MaxSoftmaxCriterion
EntropyCriterion
MutualInformationCriterion
PostProcessingCriterion
VariationRatioCriterion
CIFAR10DataModule
CIFAR100DataModule
ImageNetDataModule
MNISTDataModule
TinyImageNetDataModule
BankMarketingDataModule
DOTA2GamesDataModule
HTRU2DataModule
OnlineShoppersDataModule
SpamBaseDataModule
UCIRegressionDataModule
CamVidDataModule
CityscapesDataModule
MUADDataModule
MNISTC
NotMNIST
CIFAR10C
CIFAR100C
CIFAR10H
CIFAR10N
CIFAR100N
ImageNetA
ImageNetC
ImageNetO
ImageNetR
TinyImageNet
TinyImageNetC
OpenImageO
BankMarketing
DOTA2Games
HTRU2
OnlineShoppers
SpamBase
UCIRegression
CamVid
Cityscapes
Fractals
FrostImages
KITTIDepth
MUAD
NYUv2
API Reference
StochasticModel
StochasticModel
#
class
torch_uncertainty.models.
StochasticModel
(
model
,
num_samples
)
[source]
#
On this page
StochasticModel
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