Documentation
UncertaintyWizardWarning
CpuOnlyContextManager
DeviceAllocatorContextManager
DeviceAllocatorContextManagerV2
DynamicGpuGrowthContextManager
EnsembleContextManager
NoneContextManager
SaveConfig
LazyEnsemble
LazyEnsemble.consume()
LazyEnsemble.create()
LazyEnsemble.fit()
LazyEnsemble.modify()
LazyEnsemble.predict_quantified()
LazyEnsemble.quantify_predictions()
LazyEnsemble.run_model_free()
Stochastic
Stochastic.call()
Stochastic.compile()
Stochastic.evaluate
Stochastic.fit
Stochastic.inner
Stochastic.predict
Stochastic.predict_quantified()
Stochastic.save()
Stochastic.stochastic_mode_tensor
Stochastic.summary
StochasticFunctional
StochasticFunctional.inner
StochasticFunctional.stochastic_mode_tensor
StochasticMode
StochasticMode.as_tensor()
StochasticSequential
StochasticSequential.add()
StochasticSequential.get_config()
StochasticSequential.inner
StochasticSequential.stochastic_mode_tensor
load_model()
stochastic_from_keras()
MaxSoftmax
MaxSoftmax.aliases()
MaxSoftmax.calculate()
MaxSoftmax.problem_type()
MaxSoftmax.takes_samples()
MeanSoftmax
MeanSoftmax.aliases()
MeanSoftmax.calculate()
MeanSoftmax.problem_type()
MeanSoftmax.takes_samples()
MutualInformation
MutualInformation.aliases()
MutualInformation.calculate()
MutualInformation.problem_type()
MutualInformation.takes_samples()
PredictionConfidenceScore
PredictionConfidenceScore.aliases()
PredictionConfidenceScore.calculate()
PredictionConfidenceScore.problem_type()
PredictionConfidenceScore.takes_samples()
PredictiveEntropy
PredictiveEntropy.aliases()
PredictiveEntropy.calculate()
PredictiveEntropy.problem_type()
PredictiveEntropy.takes_samples()
Quantifier
Quantifier.aliases()
Quantifier.calculate()
Quantifier.cast_conf_or_unc()
Quantifier.is_confidence()
Quantifier.problem_type()
Quantifier.takes_samples()
QuantifierRegistry
QuantifierRegistry.find()
QuantifierRegistry.register()
SoftmaxEntropy
SoftmaxEntropy.aliases()
SoftmaxEntropy.calculate()
SoftmaxEntropy.problem_type()
SoftmaxEntropy.takes_samples()
StandardDeviation
StandardDeviation.aliases()
StandardDeviation.calculate()
StandardDeviation.problem_type()
StandardDeviation.takes_samples()
VariationRatio
VariationRatio.aliases()
VariationRatio.calculate()
VariationRatio.problem_type()
VariationRatio.takes_samples()