Index A | B | C | D | E | F | I | K | L | M | P | R | S | T | U | V | W A AUSE (class in torch_uncertainty.metrics) B BatchConv2d (class in torch_uncertainty.layers) BatchLinear (class in torch_uncertainty.layers) BayesConv1d (class in torch_uncertainty.layers.bayesian) BayesConv2d (class in torch_uncertainty.layers.bayesian) BayesConv3d (class in torch_uncertainty.layers.bayesian) BayesLinear (class in torch_uncertainty.layers.bayesian) BetaNLL (class in torch_uncertainty.losses) bias (torch_uncertainty.layers.PackedConv2d property) (torch_uncertainty.layers.PackedLinear property) BrierScore (class in torch_uncertainty.metrics) C CamVidDataModule (class in torch_uncertainty.datamodules.segmentation) CategoricalNLL (class in torch_uncertainty.metrics) CE (class in torch_uncertainty.metrics) CIFAR100DataModule (class in torch_uncertainty.datamodules) CIFAR10DataModule (class in torch_uncertainty.datamodules) CityscapesDataModule (class in torch_uncertainty.datamodules.segmentation) ClassificationRoutine (class in torch_uncertainty.routines) compute() (torch_uncertainty.metrics.AUSE method) (torch_uncertainty.metrics.BrierScore method) (torch_uncertainty.metrics.CategoricalNLL method) (torch_uncertainty.metrics.Disagreement method) (torch_uncertainty.metrics.DistributionNLL method) (torch_uncertainty.metrics.Entropy method) (torch_uncertainty.metrics.Log10 method) (torch_uncertainty.metrics.MutualInformation method) (torch_uncertainty.metrics.SILog method) (torch_uncertainty.metrics.ThresholdAccuracy method) D DECLoss (class in torch_uncertainty.losses) deep_ensembles (class in torch_uncertainty.models) Disagreement (class in torch_uncertainty.metrics) DistributionNLL (class in torch_uncertainty.metrics) DistributionNLLLoss (class in torch_uncertainty.losses) E ELBOLoss (class in torch_uncertainty.losses) Entropy (class in torch_uncertainty.metrics) F fit() (torch_uncertainty.post_processing.MatrixScaler method) (torch_uncertainty.post_processing.MCBatchNorm method) (torch_uncertainty.post_processing.TemperatureScaler method) (torch_uncertainty.post_processing.VectorScaler method) forward() (torch_uncertainty.losses.DistributionNLLLoss method) (torch_uncertainty.losses.ELBOLoss method) (torch_uncertainty.routines.ClassificationRoutine method) (torch_uncertainty.routines.RegressionRoutine method) FPR95 (class in torch_uncertainty.metrics) freeze() (torch_uncertainty.layers.bayesian.BayesLinear method) I ImageNetDataModule (class in torch_uncertainty.datamodules) K KLDiv (class in torch_uncertainty.losses) L Log10 (class in torch_uncertainty.metrics) M MaskedConv2d (class in torch_uncertainty.layers) MaskedLinear (class in torch_uncertainty.layers) MatrixScaler (class in torch_uncertainty.post_processing) mc_dropout (class in torch_uncertainty.models) MCBatchNorm (class in torch_uncertainty.post_processing) MeanGTRelativeAbsoluteError (class in torch_uncertainty.metrics) MeanGTRelativeSquaredError (class in torch_uncertainty.metrics) MLPBaseline (class in torch_uncertainty.baselines.regression) MNISTDataModule (class in torch_uncertainty.datamodules) MUADDataModule (class in torch_uncertainty.datamodules.segmentation) MutualInformation (class in torch_uncertainty.metrics) P PackedConv2d (class in torch_uncertainty.layers) PackedLinear (class in torch_uncertainty.layers) plot() (torch_uncertainty.metrics.AUSE method) prepare_data() (torch_uncertainty.datamodules.MNISTDataModule method) (torch_uncertainty.datamodules.UCIDataModule method) R raise_counters() (torch_uncertainty.post_processing.MCBatchNorm method) RegressionRoutine (class in torch_uncertainty.routines) replace_layers() (torch_uncertainty.post_processing.MCBatchNorm method) reset_counters() (torch_uncertainty.post_processing.MCBatchNorm method) ResNetBaseline (class in torch_uncertainty.baselines.classification) S sample() (torch_uncertainty.layers.bayesian.BayesLinear method) SegFormerBaseline (class in torch_uncertainty.baselines.segmentation) SegmentationRoutine (class in torch_uncertainty.routines) set_accumulate() (torch_uncertainty.post_processing.MCBatchNorm method) set_temperature() (torch_uncertainty.post_processing.MatrixScaler method) (torch_uncertainty.post_processing.TemperatureScaler method) (torch_uncertainty.post_processing.VectorScaler method) setup() (torch_uncertainty.datamodules.UCIDataModule method) SILog (class in torch_uncertainty.metrics) T TemperatureScaler (class in torch_uncertainty.post_processing) test_dataloader() (torch_uncertainty.datamodules.CIFAR100DataModule method) (torch_uncertainty.datamodules.CIFAR10DataModule method) (torch_uncertainty.datamodules.ImageNetDataModule method) (torch_uncertainty.datamodules.MNISTDataModule method) (torch_uncertainty.datamodules.TinyImageNetDataModule method) ThresholdAccuracy (class in torch_uncertainty.metrics) TinyImageNetDataModule (class in torch_uncertainty.datamodules) train_dataloader() (torch_uncertainty.datamodules.CIFAR100DataModule method) (torch_uncertainty.datamodules.CIFAR10DataModule method) (torch_uncertainty.datamodules.TinyImageNetDataModule method) U UCIDataModule (class in torch_uncertainty.datamodules) unfreeze() (torch_uncertainty.layers.bayesian.BayesLinear method) update() (torch_uncertainty.metrics.AUSE method) (torch_uncertainty.metrics.BrierScore method) (torch_uncertainty.metrics.CategoricalNLL method) (torch_uncertainty.metrics.Disagreement method) (torch_uncertainty.metrics.DistributionNLL method) (torch_uncertainty.metrics.Entropy method) (torch_uncertainty.metrics.Log10 method) (torch_uncertainty.metrics.MeanGTRelativeAbsoluteError method) (torch_uncertainty.metrics.MeanGTRelativeSquaredError method) (torch_uncertainty.metrics.MutualInformation method) (torch_uncertainty.metrics.SILog method) (torch_uncertainty.metrics.ThresholdAccuracy method) V val_dataloader() (torch_uncertainty.datamodules.TinyImageNetDataModule method) VectorScaler (class in torch_uncertainty.post_processing) VGGBaseline (class in torch_uncertainty.baselines.classification) W weight (torch_uncertainty.layers.PackedConv2d property) (torch_uncertainty.layers.PackedLinear property) WideResNetBaseline (class in torch_uncertainty.baselines.classification)