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  • mlquantify
    • get_config
    • set_config
    • config_context
  • mlquantify.base
    • BaseQuantifier
    • MetaquantifierMixin
    • ProtocolMixin
  • mlquantify.base_aggregative
    • AggregationMixin
    • SoftPredictionMixin
    • CrispPredictionMixin
  • mlquantify.calibration
    • Calibrator
    • ClassifierCalibrator
    • QuantifierCalibrator
  • mlquantify.compose
    • BaseComposeQuantifier
    • LinearComposeQuantifier
    • LikelihoodComposeQuantifier
    • ComposeQuantifier
  • mlquantify.confidence
    • BaseConfidenceRegion
    • ConfidenceInterval
    • ConfidenceEllipseSimplex
    • ConfidenceEllipseCLR
    • construct_confidence_region
  • mlquantify.counting
    • CC
    • PCC
    • ThresholdAdjustment
    • TAC
    • TX
    • TMAX
    • T50
    • MS
    • MS2
    • FM
    • GACC
    • GPACC
    • evaluate_thresholds
    • compute_tpr
    • compute_fpr
    • compute_table
  • mlquantify.likelihood
    • CDE
    • EMQ
    • MLPE
  • mlquantify.losses
    • BaseLoss
    • DistanceLoss
    • LeastSquaresLoss
    • HellingerSurrogateLoss
    • EnergyLoss
    • NegativeLogLikelihoodLoss
    • MixtureNegativeLogLikelihoodLoss
    • RegularizedMixtureNLLLoss
    • normalize_distribution
    • get_loss
  • mlquantify.matching
    • BaseMatchingQuantifier
    • MatchingHistogramQuantifier
    • DyS
    • HDy
    • HDx
    • SORD
    • MatchingKernelQuantifier
    • MMD_RKHS
    • KDEyQuantifier
    • KDEyML
    • KDEyHD
    • KDEyCS
    • GKDEyML
    • GHDx
    • GHDy
    • SMM
    • EDy
    • EDx
  • mlquantify.meta
    • EnsembleQ
    • QuaDapt
    • AggregativeBootstrap
  • mlquantify.metrics
    • AE
    • SE
    • MAE
    • MSE
    • KLD
    • RAE
    • NAE
    • NRAE
    • NKLD
    • NMD
    • RNOD
    • VSE
    • CvM_L1
  • mlquantify.model_selection
    • GridSearchQ
    • BaseProtocol
    • APP
    • NPP
    • UPP
    • PPP
  • mlquantify.multiclass
    • binary_quantifier
    • BinaryQuantifier
  • mlquantify.neighbors
    • PWK
  • mlquantify.neural
  • mlquantify.representations
    • BaseRepresentation
    • HistogramRepresentation
    • KDERepresentation
    • DistanceRepresentation
    • KernelMeanRepresentation
    • PredictionRepresentation
    • HardPredictionRepresentation
    • SoftPredictionRepresentation
  • mlquantify.solvers
    • solve_binary
    • ternary_search
    • solve_simplex
    • minimize_prevalence
    • minimize_prevalence_blocks
  • mlquantify.utils
    • get_prev_from_labels
    • normalize_prevalence
    • load_quantifier
    • make_prevs
    • apply_cross_validation
    • simplex_uniform_kraemer
    • simplex_grid_sampling
    • simplex_uniform_sampling
    • get_indexes_with_prevalence
  • API Reference
  • mlquantify.confidence

mlquantify.confidence#

Confidence Regions#

BaseConfidenceRegion

Base class for confidence regions of prevalence estimates.

ConfidenceInterval

Bootstrap confidence intervals for each class prevalence.

ConfidenceEllipseSimplex

Confidence ellipse for prevalence estimates in the simplex.

ConfidenceEllipseCLR

Confidence ellipse for prevalence estimates in CLR-transformed space.

construct_confidence_region

Instantiate a confidence region from bootstrap prevalence estimates.

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ComposeQuantifier

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BaseConfidenceRegion