Index

B

BayesianLinear (class in torchnaut.epistemic)

BayesianParameter (class in torchnaut.epistemic)

C

calculate_pit_cdf() (in module torchnaut.utils) crps_loss() (in module torchnaut.crps) crps_loss_mv() (in module torchnaut.crps)

crps_loss_mv_weighted() (in module torchnaut.crps) crps_loss_weighted() (in module torchnaut.crps) CRPSEnsemble (class in torchnaut.epistemic)

E

EpsilonSampler (class in torchnaut.crps)

expected_value() (torchnaut.mdn.MDN method) (torchnaut.mdn.MDNMV method)

F

fit_transform() (torchnaut.utils.LabelScaler method) forward() (torchnaut.crps.EpsilonSampler method) (torchnaut.epistemic.BayesianLinear method) (torchnaut.epistemic.BayesianParameter method) (torchnaut.epistemic.CRPSEnsemble method)

G

get_batch_ixs() (in module torchnaut.utils) get_dist() (torchnaut.mdn.MDN method) (torchnaut.mdn.MDNMV method)

get_kde() (in module torchnaut.kde) get_kl_term() (in module torchnaut.epistemic) (torchnaut.epistemic.BayesianParameter method) get_n_samples() (torchnaut.crps.EpsilonSampler class method)

I

inverse_transform() (torchnaut.mdn.MDN method) (torchnaut.utils.LabelScaler method)

L

LabelScaler (class in torchnaut.utils)

log_likelihood() (torchnaut.mdn.MDN method) (torchnaut.mdn.MDNMV method)

M

MDN (class in torchnaut.mdn) MDNMV (class in torchnaut.mdn) module torchnaut torchnaut.crps torchnaut.epistemic torchnaut.kde torchnaut.mdn torchnaut.utils

N

n_samples() (torchnaut.crps.EpsilonSampler class method)

nll_gpu() (in module torchnaut.kde) nll_gpu_weighted() (in module torchnaut.kde)

S

sample() (torchnaut.mdn.MDN method) (torchnaut.mdn.MDNMV method)

T

torchnaut module torchnaut.crps module torchnaut.epistemic module

torchnaut.kde module torchnaut.mdn module torchnaut.utils module transform() (torchnaut.utils.LabelScaler method)