purestochastic
latest
Guide
Installation
Motivations and Goals
Basic examples
1. Toy dataset
2. DeepEnsemble 1
3. DeepEnsemble 2
4. SWAG
5. MultiSWAG
6. Orthonormal Certificates
Features
Model
GaussianRegression
Custom Layers
Dense2Dto3D
Dense3Dto3D
Dense3Dto2D
Dense3Dto4D
Custom Activations
MeanVarianceActivation
Custom Models
Stochastic Model
MVEM
DeepEnsemble
SWAG
MultiSWAG
Orthonormal Certificates
Utils
Losses
Gaussian Negative Log Likelihood
Metrics
PICP
PINAW
CWC
Regularizers
Orthonormality
purestochastic
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_combine_predictions() (purestochastic.model.deep_ensemble.DeepEnsembleModel method)
(purestochastic.model.swag.MultiSWAGModel method)
(purestochastic.model.swag.SWAGModel method)
_sample_prediction() (purestochastic.model.swag.MultiSWAGModel method)
(purestochastic.model.swag.SWAGModel method)
C
compute_loss() (purestochastic.model.deep_ensemble.DeepEnsembleModel method)
(purestochastic.model.swag.MultiSWAGModel method)
compute_metrics() (purestochastic.model.base_uncertainty_models.StochasticModel method)
(purestochastic.model.deep_ensemble.DeepEnsembleModel method)
(purestochastic.model.orthonormal_certificates.OrthonormalCertificatesModel method)
(purestochastic.model.swag.MultiSWAGModel method)
(purestochastic.model.swag.SWAGModel method)
CoverageWidthBasedCriterion (class in purestochastic.common.metrics)
D
DeepEnsembleModel (class in purestochastic.model.deep_ensemble)
Dense2Dto3D (class in purestochastic.model.layers)
Dense3Dto2D (class in purestochastic.model.layers)
Dense3Dto3D (class in purestochastic.model.layers)
Dense3Dto4D (class in purestochastic.model.layers)
E
evaluate() (purestochastic.model.base_uncertainty_models.GaussianRegression method)
(purestochastic.model.swag.MultiSWAGModel method)
(purestochastic.model.swag.SWAGModel method)
F
find_loss() (purestochastic.model.orthonormal_certificates.OrthonormalCertificatesModel method)
fit() (purestochastic.model.base_uncertainty_models.GaussianRegression method)
(purestochastic.model.orthonormal_certificates.OrthonormalCertificatesModel method)
(purestochastic.model.swag.MultiSWAGModel method)
(purestochastic.model.swag.SWAGModel method)
fit_oc() (purestochastic.model.orthonormal_certificates.OrthonormalCertificatesModel method)
G
gaussian_negative_log_likelihood() (in module purestochastic.common.losses)
GaussianRegression (class in purestochastic.model.base_uncertainty_models)
L
load_weights() (purestochastic.model.base_uncertainty_models.GaussianRegression method)
M
MeanVarianceActivation() (in module purestochastic.model.activations)
MultiSWAGModel (class in purestochastic.model.swag)
O
on_epoch_end() (purestochastic.model.swag.SWAGCallback method)
on_train_end() (purestochastic.model.swag.SWAGCallback method)
OrthonormalCertificatesModel (class in purestochastic.model.orthonormal_certificates)
Orthonormality() (in module purestochastic.common.regularizers)
P
predict() (purestochastic.model.base_uncertainty_models.GaussianRegression method)
(purestochastic.model.deep_ensemble.DeepEnsembleModel method)
(purestochastic.model.orthonormal_certificates.OrthonormalCertificatesModel method)
(purestochastic.model.swag.MultiSWAGModel method)
(purestochastic.model.swag.SWAGModel method)
PredictionIntervalCoverageProbability (class in purestochastic.common.metrics)
PredictionIntervalNormalizedAverageWidth (class in purestochastic.common.metrics)
S
save_weights() (purestochastic.model.base_uncertainty_models.GaussianRegression method)
StochasticModel (class in purestochastic.model.base_uncertainty_models)
SWAGCallback (class in purestochastic.model.swag)
SWAGModel (class in purestochastic.model.swag)
T
toDeepEnsemble() (in module purestochastic.model.deep_ensemble)
toMultiSWAG() (in module purestochastic.model.swag)
toOrthonormalCertificates() (in module purestochastic.model.orthonormal_certificates)
toSWAG() (in module purestochastic.model.swag)
U
unstandardize_prediction() (purestochastic.model.base_uncertainty_models.GaussianRegression method)
update_state() (purestochastic.common.metrics.CoverageWidthBasedCriterion method)
(purestochastic.common.metrics.PredictionIntervalCoverageProbability method)
(purestochastic.common.metrics.PredictionIntervalNormalizedAverageWidth method)