Index

_

__call__() (capsa_tf.sample.Wrapper method) (capsa_tf.sculpt.Wrapper method) (capsa_tf.vote.Wrapper method) (capsa_torch.neo.Wrapper method) (capsa_torch.sample.Wrapper method) (capsa_torch.sculpt.Wrapper method) (capsa_torch.vote.EagerWrapper method) (capsa_torch.vote.Wrapper method) __init__() (capsa_tf.CapsaWarning method) (capsa_tf.sample.Bernoulli method) (capsa_tf.sample.Normal method) (capsa_tf.sample.Wrapper method) (capsa_tf.sculpt.Wrapper method) (capsa_tf.vote.Wrapper method) (capsa_torch.neo.Wrapper method) (capsa_torch.sample.Bernoulli method) (capsa_torch.sample.Normal method) (capsa_torch.sample.Wrapper method) (capsa_torch.sculpt.Wrapper method) (capsa_torch.vote.EagerWrapper method) (capsa_torch.vote.Wrapper method)

__new__() (capsa_tf.CapsaWarning method) (capsa_tf.RiskOutput static method) (capsa_torch.RiskOutput static method)

A

accuracy() (capsa_torch.interpret.ClassificationMetrics static method) ACTIVATIONS (capsa_tf.sample.WrapOver attribute) (capsa_torch.sample.WrapOver attribute)

aleatoric_misclassification_prob_binary() (in module capsa_torch.interpret) aleatoric_misclassification_prob_categorical() (in module capsa_torch.interpret) alpha (capsa_torch.sculpt.NormalInverseGammaRisk attribute) args (capsa_tf.CapsaWarning attribute)

B

balanced_accuracy() (capsa_torch.interpret.ClassificationMetrics static method) Bernoulli (class in capsa_tf.sample) (class in capsa_torch.sample)

beta (capsa_torch.sculpt.NormalInverseGammaRisk attribute)

C

capsa_tf module capsa_tf.sample module capsa_tf.sculpt module capsa_tf.vote module capsa_torch module capsa_torch.interpret module capsa_torch.neo module

capsa_torch.sample module capsa_torch.sculpt module capsa_torch.vote module CapsaWarning ClassificationMetrics (class in capsa_torch.interpret) collate() (in module capsa_torch) count() (capsa_tf.RiskOutput method) (capsa_torch.RiskOutput method) (capsa_torch.sculpt.NormalInverseGammaRisk method) (capsa_torch.sculpt.NormalInverseWishartRisk method)

D

Distribution (class in capsa_tf.sample) (class in capsa_tf.sculpt) (class in capsa_torch.sample) (class in capsa_torch.sculpt)

E

EagerWrapper (class in capsa_torch.vote) epistemic_misclassification_prob_binary() (in module capsa_torch.interpret)

epistemic_misclassification_prob_categorical() (in module capsa_torch.interpret) epistemic_uncertainty_categorical() (in module capsa_torch.interpret) errors() (capsa_torch.interpret.ClassificationMetrics static method)

F

f1_score() (capsa_torch.interpret.ClassificationMetrics static method)

false_negatives() (capsa_torch.interpret.ClassificationMetrics static method) false_positives() (capsa_torch.interpret.ClassificationMetrics static method)

I

index() (capsa_tf.RiskOutput method) (capsa_torch.RiskOutput method) (capsa_torch.sculpt.NormalInverseGammaRisk method) (capsa_torch.sculpt.NormalInverseWishartRisk method)

L

loss_function() (capsa_tf.sculpt.Distribution static method) (capsa_tf.sculpt.Normal static method) (capsa_torch.sculpt.Distribution static method) (capsa_torch.sculpt.MultiVariateNormal static method) (capsa_torch.sculpt.Normal static method) (capsa_torch.sculpt.NormalInverseGamma static method) (capsa_torch.sculpt.NormalInverseWishart static method)

lower_tril (capsa_torch.sculpt.NormalInverseWishartRisk attribute)

M

mae() (capsa_torch.interpret.RegressionMetrics static method) mean_absolute_error() (capsa_torch.interpret.RegressionMetrics static method) misclassification_prob_binary() (in module capsa_torch.interpret) misclassification_prob_categorical() (in module capsa_torch.interpret) module capsa_tf capsa_tf.sample capsa_tf.sculpt capsa_tf.vote capsa_torch capsa_torch.interpret capsa_torch.neo capsa_torch.sample capsa_torch.sculpt capsa_torch.vote

multiclass_reward_score() (capsa_torch.interpret.ClassificationMetrics static method) MultiVariateNormal (class in capsa_torch.sculpt)

N

negative_predictive_value() (capsa_torch.interpret.ClassificationMetrics static method) Normal (class in capsa_tf.sample) (class in capsa_tf.sculpt) (class in capsa_torch.sample) (class in capsa_torch.sculpt)

NormalInverseGamma (class in capsa_torch.sculpt) NormalInverseGammaRisk (class in capsa_torch.sculpt) NormalInverseWishart (class in capsa_torch.sculpt) NormalInverseWishartRisk (class in capsa_torch.sculpt) nu (capsa_torch.sculpt.NormalInverseGammaRisk attribute) (capsa_torch.sculpt.NormalInverseWishartRisk attribute)

P

positive_predictive_value() (capsa_torch.interpret.ClassificationMetrics static method) precision() (capsa_torch.interpret.ClassificationMetrics static method)

pred (capsa_tf.RiskOutput attribute) (capsa_torch.RiskOutput attribute)

R

recall() (capsa_torch.interpret.ClassificationMetrics static method) RegressionMetrics (class in capsa_torch.interpret) risk (capsa_tf.RiskOutput attribute) (capsa_torch.RiskOutput attribute)

RiskOutput (class in capsa_tf) (class in capsa_torch) rmse() (capsa_torch.interpret.RegressionMetrics static method) root_mean_square_error() (capsa_torch.interpret.RegressionMetrics static method)

S

sample() (capsa_tf.sculpt.Distribution static method) (capsa_tf.sculpt.Normal static method) (capsa_torch.sculpt.Distribution static method) (capsa_torch.sculpt.MultiVariateNormal static method) (capsa_torch.sculpt.Normal static method) (capsa_torch.sculpt.NormalInverseGamma static method) (capsa_torch.sculpt.NormalInverseWishart static method)

sensitivity() (capsa_torch.interpret.ClassificationMetrics static method) specificity() (capsa_torch.interpret.ClassificationMetrics static method)

T

to_risk() (capsa_tf.sculpt.Distribution static method) (capsa_tf.sculpt.Normal static method) (capsa_torch.sculpt.Distribution static method) (capsa_torch.sculpt.MultiVariateNormal static method) (capsa_torch.sculpt.Normal static method) (capsa_torch.sculpt.NormalInverseGamma static method) (capsa_torch.sculpt.NormalInverseWishart static method)

top_percent_risk_cut_accuracy() (in module capsa_torch.interpret) top_percent_risk_cut_metric() (in module capsa_torch.interpret) true_negatives() (capsa_torch.interpret.ClassificationMetrics static method) true_positives() (capsa_torch.interpret.ClassificationMetrics static method)

W

WEIGHTS (capsa_tf.sample.WrapOver attribute) (capsa_torch.sample.WrapOver attribute) with_traceback() (capsa_tf.CapsaWarning method) WrapOver (class in capsa_tf.sample) (class in capsa_torch.sample) Wrapper (class in capsa_tf.sample) (class in capsa_tf.sculpt) (class in capsa_tf.vote) (class in capsa_torch.neo) (class in capsa_torch.sample) (class in capsa_torch.sculpt) (class in capsa_torch.vote)