API Reference#

This is the class and function reference of scikit-learn. Please refer to the full user guide for further details, as the raw specifications of classes and functions may not be enough to give full guidelines on their use. For reference on concepts repeated across the API, see glossary.

Object

Description

CC

PCC

FM

GAC

GPAC

ACC

X_method

MAX

T50

MS

MS2

evaluate_thresholds

compute_tpr

compute_fpr

compute_table

BaseQuantifier

MetaquantifierMixin

ProtocolMixin

AggregationMixin

SoftLearnerQMixin

CrispLearnerQMixin

BaseConfidenceRegion

ConfidenceInterval

ConfidenceEllipseSimplex

ConfidenceEllipseCLR

construct_confidence_region

EMQ

MLPE

CDE

EnsembleQ

QuaDapt

AggregativeBootstrap

AE

SE

MAE

MSE

KLD

RAE

NAE

NRAE

NKLD

NMD

RNOD

VSE

CvM_L1

HDy

DyS

SMM

SORD

HDx

GridSearchQ

BaseProtocol

APP

NPP

UPP

PPP

define_binary

BinaryQuantifier

KDEyCS

KDEyHD

KDEyML

PWK

get_prev_from_labels

load_quantifier

make_prevs

apply_cross_validation

simplex_uniform_kraemer

simplex_grid_sampling

simplex_uniform_sampling

get_indexes_with_prevalence