Index

_

__init__() (netcal.regularization.ConfidencePenalty method) (netcal.regularization.DCAPenalty method) (netcal.regularization.MMCEPenalty method)

A

AbstractCalibration (class in netcal) AbstractGP (class in netcal.regression.gp)

AbstractLogisticRegression (class in netcal.scaling) ACE (class in netcal.metrics) (class in netcal.metrics.confidence)

B

BBQ (class in netcal.binning) BetaCalibration (class in netcal.scaling)

BetaCalibrationDependent (class in netcal.scaling) BetaLikelihood (class in netcal.regression.gp.likelihood)

C

CauchyLikelihood (class in netcal.regression.gp.likelihood)

confidence_penalty() (in module netcal.regularization) ConfidencePenalty (class in netcal.regularization)

D

DCAPenalty (class in netcal.regularization)

E

ECE (class in netcal.metrics) (class in netcal.metrics.confidence) ENCE (class in netcal.metrics) (class in netcal.metrics.regression)

ENIR (class in netcal.binning) epsilon (netcal.AbstractCalibration attribute)

G

GaussianRBFKernel (class in netcal.regression.gp.kernel) GPBeta (class in netcal.regression) (class in netcal.regression.gp)

GPCauchy (class in netcal.regression) (class in netcal.regression.gp) GPNormal (class in netcal.regression) (class in netcal.regression.gp)

H

HistogramBinning (class in netcal.binning)

I

IsotonicRegression (class in netcal.binning) (class in netcal.regression)

L

LogisticCalibration (class in netcal.scaling)

LogisticCalibrationDependent (class in netcal.scaling)

M

MCE (class in netcal.metrics) (class in netcal.metrics.confidence) MMCE (class in netcal.metrics) (class in netcal.metrics.confidence) MMCEPenalty (class in netcal.regularization) module netcal netcal.binning netcal.metrics netcal.metrics.confidence netcal.metrics.regression netcal.presentation netcal.regression netcal.regression.gp netcal.regression.gp.kernel netcal.regression.gp.likelihood netcal.regularization netcal.scaling

N

netcal module netcal.binning module netcal.metrics module netcal.metrics.confidence module netcal.metrics.regression module netcal.presentation module netcal.regression module

netcal.regression.gp module netcal.regression.gp.kernel module netcal.regression.gp.likelihood module netcal.regularization module netcal.scaling module NLL (class in netcal.metrics) (class in netcal.metrics.regression)

P

PICP (class in netcal.metrics) (class in netcal.metrics.regression)

PinballLoss (class in netcal.metrics) (class in netcal.metrics.regression)

Q

QCE (class in netcal.metrics) (class in netcal.metrics.regression)

QuantileLoss (class in netcal.metrics) (class in netcal.metrics.regression)

R

ReliabilityDiagram (class in netcal.presentation)

ReliabilityQCE (class in netcal.presentation) ReliabilityRegression (class in netcal.presentation)

S

ScaledMultivariateNormalLikelihood (class in netcal.regression.gp.likelihood)

ScaledNormalLikelihood (class in netcal.regression.gp.likelihood)

T

TemperatureScaling (class in netcal.scaling)

U

UCE (class in netcal.metrics) (class in netcal.metrics.regression)

V

VarianceScaling (class in netcal.regression)