Index

A

absolute_error() (in module quapy.error) AbstractProtocol (class in quapy.protocol) AbstractStochasticSeededProtocol (class in quapy.protocol) ACC (class in quapy.method.aggregative) acc_error() (in module quapy.error) acce() (in module quapy.error) add_word() (quapy.data.preprocessing.IndexTransformer method) AdjustedClassifyAndCount (in module quapy.method.aggregative) ae() (in module quapy.error) aggregate() (quapy.method._kdey.KDEyCS method) (quapy.method._kdey.KDEyHD method) (quapy.method._kdey.KDEyML method) (quapy.method._threshold_optim.MS method) (quapy.method._threshold_optim.ThresholdOptimization method) (quapy.method.aggregative.ACC method) (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.CC method) (quapy.method.aggregative.DMy method) (quapy.method.aggregative.DyS method) (quapy.method.aggregative.EDy method) (quapy.method.aggregative.EMQ method) (quapy.method.aggregative.HDy method) (quapy.method.aggregative.OneVsAllAggregative method) (quapy.method.aggregative.PACC method) (quapy.method.aggregative.PCC method) (quapy.method.aggregative.RLLS method) (quapy.method.aggregative.SMM method) (quapy.method.confidence.AggregativeBootstrap method) (quapy.method.confidence.BayesianCC method) (quapy.method.confidence.PQ method) (quapy.method.meta.SCMQ method) aggregate_conf() (quapy.method.confidence.AggregativeBootstrap method) (quapy.method.confidence.PQ method) aggregate_conf_sequential__() (quapy.method.confidence.AggregativeBootstrap method) aggregate_with_threshold() (quapy.method._threshold_optim.ThresholdOptimization method)

aggregation_fit() (quapy.method._kdey.KDEyCS method) (quapy.method._kdey.KDEyHD method) (quapy.method._kdey.KDEyML method) (quapy.method._threshold_optim.MS method) (quapy.method._threshold_optim.ThresholdOptimization method) (quapy.method.aggregative.ACC method) (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.CC method) (quapy.method.aggregative.DMy method) (quapy.method.aggregative.DyS method) (quapy.method.aggregative.EDy method) (quapy.method.aggregative.EMQ method) (quapy.method.aggregative.HDy method) (quapy.method.aggregative.OneVsAllAggregative method) (quapy.method.aggregative.PACC method) (quapy.method.aggregative.PCC method) (quapy.method.aggregative.RLLS method) (quapy.method.aggregative.SMM method) (quapy.method.confidence.AggregativeBootstrap method) (quapy.method.confidence.BayesianCC method) (quapy.method.confidence.PQ method) (quapy.method.meta.SCMQ method) aggregative (quapy.method.meta.Ensemble property) AggregativeBootstrap (class in quapy.method.confidence) AggregativeCrispQuantifier (class in quapy.method.aggregative) AggregativeMedianEstimator (class in quapy.method.aggregative) AggregativeQuantifier (class in quapy.method.aggregative) AggregativeSoftQuantifier (class in quapy.method.aggregative) AitchisonDistance() (in module quapy.functional) antagonistic_prevalence() (in module quapy.functional) APP (class in quapy.protocol) aqe() (in module quapy.error) argmin_prevalence() (in module quapy.functional) ArtificialPrevalenceProtocol (in module quapy.protocol) as_binary_prevalence() (in module quapy.functional) asDataloader() (quapy.classification.neural.TorchDataset method)

B

BANDWIDTH_METHOD (quapy.method._kdey.KDEBase attribute) BaseQuantifier (class in quapy.method.base) BayesianCC (class in quapy.method.confidence) BCTSCalibration (class in quapy.classification.calibration) best_model() (quapy.model_selection.GridSearchQ method) bias_binary() (in module quapy.error) binarize() (in module quapy.data.reader) binary (quapy.data.base.Dataset property) (quapy.data.base.LabelledCollection property)

binary_bias_bins() (in module quapy.plot) binary_bias_global() (in module quapy.plot) binary_diagonal() (in module quapy.plot) BinaryAggregativeQuantifier (class in quapy.method.aggregative) BinaryQuantifier (class in quapy.method.base) BlobelLoss (class in quapy.method.composable) bootstrap_once() (in module quapy.method.confidence) brokenbar_supremacy_by_drift() (in module quapy.plot)

C

CALIB_OPTIONS (quapy.method.aggregative.EMQ attribute) calibration_plot() (in module quapy.plot) CC (class in quapy.method.aggregative) check_prevalence_vector() (in module quapy.functional) classes (quapy.data.base.LabelledCollection property) classes_ (quapy.classification.calibration.RecalibratedProbabilisticClassifierBase property) (quapy.data.base.Dataset property) (quapy.method._neural.QuaNetTrainer property) (quapy.method.aggregative.AggregativeQuantifier property) classes_from_labels() (in module quapy.functional) classifier (quapy.method.aggregative.AggregativeQuantifier property) (quapy.method.composable.ClassRepresentation attribute) (quapy.method.confidence.AggregativeBootstrap property) classifier_fit_predict() (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.EMQ method) classify() (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.EMQ method) (quapy.method.aggregative.OneVsAllAggregative method) ClassifyAndCount (in module quapy.method.aggregative) ClassRepresentation (class in quapy.method.composable) clean_checkpoint() (quapy.method._neural.QuaNetTrainer method) clean_checkpoint_dir() (quapy.method._neural.QuaNetTrainer method) clip() (in module quapy.functional) closest_point_in_region() (quapy.method.confidence.ConfidenceEllipseSimplex method) (quapy.method.confidence.ConfidenceEllipseTransformed method) (quapy.method.confidence.ConfidenceRegionABC method) closest_point_on_ellipsoid() (in module quapy.method.confidence) clr_transform() (quapy.method._kdey.KDEBase method) CLRtransformation (class in quapy.functional) CNNnet (class in quapy.classification.neural) collator() (quapy.protocol.AbstractStochasticSeededProtocol method) CombinedLoss (class in quapy.method.composable)

ComposableQuantifier() (in module quapy.method.composable) CompositionalTransformation (class in quapy.functional) condition() (quapy.method._threshold_optim.MAX method) (quapy.method._threshold_optim.MS method) (quapy.method._threshold_optim.T50 method) (quapy.method._threshold_optim.ThresholdOptimization method) (quapy.method._threshold_optim.X method) condsoftmax() (in module quapy.functional) ConfidenceEllipseCLR (class in quapy.method.confidence) ConfidenceEllipseILR (class in quapy.method.confidence) ConfidenceEllipseSimplex (class in quapy.method.confidence) ConfidenceEllipseTransformed (class in quapy.method.confidence) ConfidenceIntervals (class in quapy.method.confidence) ConfidenceIntervalsCLR (class in quapy.method.confidence) ConfidenceIntervalsILR (class in quapy.method.confidence) ConfidenceIntervalsTransformed (class in quapy.method.confidence) ConfidenceRegionABC (class in quapy.method.confidence) ConfigStatus (class in quapy.model_selection) construct_region() (quapy.method.confidence.WithConfidenceABC class method) counts() (quapy.data.base.LabelledCollection method) counts_from_labels() (in module quapy.functional) coverage() (quapy.method.confidence.ConfidenceEllipseSimplex method) (quapy.method.confidence.ConfidenceEllipseTransformed method) (quapy.method.confidence.ConfidenceIntervals method) (quapy.method.confidence.ConfidenceIntervalsTransformed method) (quapy.method.confidence.ConfidenceRegionABC method) coverage_soft() (quapy.method.confidence.ConfidenceIntervals method) (quapy.method.confidence.ConfidenceIntervalsTransformed method) create_if_not_exist() (in module quapy.util) create_kernel() (quapy.method.composable.LaplacianKernelRepresentation static method) create_parent_dir() (in module quapy.util) cross_val_predict() (in module quapy.model_selection) CVClassifier (class in quapy.method.composable)

D

Dataset (class in quapy.data.base) decision_function() (quapy.classification.svmperf.SVMperf method) device (quapy.classification.neural.NeuralClassifierTrainer property) (quapy.method._neural.QuaNetModule property) dimensions() (quapy.classification.neural.TextClassifierNet method) DirichletProtocol (class in quapy.protocol) discard() (quapy.method._threshold_optim.MS2 method) (quapy.method._threshold_optim.ThresholdOptimization method) dist_aitchison() (in module quapy.error) DistanceRepresentation (class in quapy.method.composable)

DistributionMatchingX (in module quapy.method.non_aggregative) DistributionMatchingY (in module quapy.method.aggregative) DMx (class in quapy.method.non_aggregative) DMy (class in quapy.method.aggregative) document_embedding() (quapy.classification.neural.CNNnet method) (quapy.classification.neural.LSTMnet method) (quapy.classification.neural.TextClassifierNet method) DomainMixer (class in quapy.protocol) download_file() (in module quapy.util) download_file_if_not_exists() (in module quapy.util) DyS (class in quapy.method.aggregative)

E

EACC() (in module quapy.method.meta) EarlyStop (class in quapy.util) ECC() (in module quapy.method.meta) EDx (class in quapy.method.non_aggregative) EDy (class in quapy.method.aggregative) EEMQ() (in module quapy.method.meta) effective_bandwidth() (quapy.method._kdey.KDEBase method) EHDy() (in module quapy.method.meta) EM() (quapy.method.aggregative.EMQ class method) EMQ (class in quapy.method.aggregative) EMQ_BCTS() (quapy.method.aggregative.EMQ class method) EnergyDistanceX (in module quapy.method.non_aggregative) EnergyDistanceY (in module quapy.method.aggregative)

EnergyKernelRepresentation (class in quapy.method.composable) EnergyLoss (class in quapy.method.composable) Ensemble (class in quapy.method.meta) ensembleFactory() (in module quapy.method.meta) EPACC() (in module quapy.method.meta) EPSILON (quapy.functional.CompositionalTransformation attribute) (quapy.method.aggregative.EMQ attribute) ERROR (quapy.model_selection.Status attribute) error_by_drift() (in module quapy.plot) evaluate() (in module quapy.evaluation) evaluate_on_samples() (in module quapy.evaluation) evaluation_report() (in module quapy.evaluation) expand_grid() (in module quapy.model_selection) ExpectationMaximizationQuantifier (in module quapy.method.aggregative)

F

f1_error() (in module quapy.error) f1e() (in module quapy.error) failed() (quapy.model_selection.ConfigStatus method) fetch_IFCB() (in module quapy.data.datasets) fetch_image_embeddings() (in module quapy.data.datasets) fetch_lequa2022() (in module quapy.data.datasets) fetch_lequa2024() (in module quapy.data.datasets) fetch_reviews() (in module quapy.data.datasets) fetch_twitter() (in module quapy.data.datasets) fetch_UCIBinaryDataset() (in module quapy.data.datasets) fetch_UCIBinaryLabelledCollection() (in module quapy.data.datasets) fetch_UCIMulticlassDataset() (in module quapy.data.datasets) fetch_UCIMulticlassLabelledCollection() (in module quapy.data.datasets) fit() (quapy.classification.calibration.RecalibratedProbabilisticClassifierBase method) (quapy.classification.calibration.TemperatureScalingFromLogits method) (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.methods.MockClassifierFromPosteriors method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.classification.svmperf.SVMperf method) (quapy.data.preprocessing.IndexTransformer method) (quapy.method._neural.QuaNetTrainer method) (quapy.method.aggregative.AggregativeMedianEstimator method) (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.BinaryAggregativeQuantifier method) (quapy.method.base.BaseQuantifier method) (quapy.method.base.OneVsAllGeneric method) (quapy.method.composable.CVClassifier method) (quapy.method.composable.QUnfoldWrapper method) (quapy.method.confidence.AggregativeBootstrap method) (quapy.method.meta.Ensemble method) (quapy.method.meta.MCMQ method) (quapy.method.meta.MCSQ method) (quapy.method.meta.MedianEstimator method) (quapy.method.non_aggregative.DMx method) (quapy.method.non_aggregative.EDx method) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method) (quapy.method.non_aggregative.ReadMe method) (quapy.model_selection.GridSearchQ method)

fit_classifier (quapy.method.composable.ClassRepresentation attribute) fit_cv() (quapy.classification.calibration.RecalibratedProbabilisticClassifierBase method) fit_tr_val() (quapy.classification.calibration.RecalibratedProbabilisticClassifierBase method) fit_transform() (quapy.data.preprocessing.IndexTransformer method) (quapy.method.composable.ClassRepresentation method) (quapy.method.composable.DistanceRepresentation method) (quapy.method.composable.EnergyKernelRepresentation method) (quapy.method.composable.GaussianKernelRepresentation method) (quapy.method.composable.GaussianRFFKernelRepresentation method) (quapy.method.composable.HistogramRepresentation method) (quapy.method.composable.KernelRepresentation method) forward() (quapy.classification.neural.TextClassifierNet method) (quapy.method._neural.QuaNetModule method) from_csv() (in module quapy.data.reader) from_name() (in module quapy.error) from_sparse() (in module quapy.data.reader) from_text() (in module quapy.data.reader)

G

GaussianKernelRepresentation (class in quapy.method.composable) GaussianRFFKernelRepresentation (class in quapy.method.composable) get_collator() (quapy.protocol.OnLabelledCollectionProtocol class method) get_conditional_probability_samples() (quapy.method.confidence.BayesianCC method) get_divergence() (in module quapy.functional) get_kde_function() (quapy.method._kdey.KDEBase method) get_labelled_collection() (quapy.protocol.OnLabelledCollectionProtocol method) get_mixture_components() (quapy.method._kdey.KDEBase method) get_nprevpoints_approximation() (in module quapy.functional) get_params() (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.neural.CNNnet method) (quapy.classification.neural.LSTMnet method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.classification.neural.TextClassifierNet method) (quapy.method._neural.QuaNetTrainer method) (quapy.method.aggregative.AggregativeMedianEstimator method) (quapy.method.composable.QUnfoldWrapper method) (quapy.method.meta.Ensemble method) (quapy.method.meta.MedianEstimator method) (quapy.model_selection.GridSearchQ method)

get_prevalence_samples() (quapy.method.confidence.BayesianCC method) get_probability_distribution() (in module quapy.method.meta) get_quapy_home() (in module quapy.util) get_V() (quapy.functional.ILRtransformation method) getPteCondEstim() (quapy.method.aggregative.ACC class method) (quapy.method.aggregative.PACC class method) gram_matrix_mix_sum() (quapy.method._kdey.KDEyCS method) GridSearchQ (class in quapy.model_selection) group_params() (in module quapy.model_selection)

H

HDx() (in module quapy.method.non_aggregative) (quapy.method.non_aggregative.DMx class method) HDy (class in quapy.method.aggregative) HDy() (quapy.method.aggregative.DMy class method) HellingerDistance() (in module quapy.functional)

HellingerDistanceX() (in module quapy.method.non_aggregative) HellingerDistanceY (in module quapy.method.aggregative) HellingerSurrogateLoss (class in quapy.method.composable) HistogramRepresentation (class in quapy.method.composable) HistoricalHDy() (in module quapy.method.aggregative)

I

ilr_transform() (quapy.method._kdey.KDEBase method) ILRtransformation (class in quapy.functional) in_simplex() (in module quapy.functional) index (quapy.data.base.LabelledCollection property) index() (in module quapy.data.preprocessing) IndexTransformer (class in quapy.data.preprocessing) instance_transformation() (in module quapy.data.preprocessing)

instantiate() (quapy.method.composable.CombinedLoss method) (quapy.method.composable.TikhonovRegularization method) INVALID (quapy.model_selection.Status attribute) inverse() (quapy.functional.CLRtransformation method) (quapy.functional.CompositionalTransformation method) (quapy.functional.ILRtransformation method) is_probabilistic (quapy.method.composable.ClassRepresentation attribute) IterateProtocol (class in quapy.protocol)

J

join() (quapy.data.base.LabelledCollection class method)

K

KDEBase (class in quapy.method._kdey) KDEyCS (class in quapy.method._kdey) KDEyHD (class in quapy.method._kdey) KDEyML (class in quapy.method._kdey) kernel (quapy.method.composable.KernelRepresentation attribute)

KernelRepresentation (class in quapy.method.composable) KERNELS (quapy.method._kdey.KDEBase attribute) kFCV() (quapy.data.base.Dataset class method) (quapy.data.base.LabelledCollection method) kld() (in module quapy.error)

L

l1_norm() (in module quapy.functional) LabelledCollection (class in quapy.data.base) LaplacianKernelRepresentation (class in quapy.method.composable) LeastSquaresLoss (class in quapy.method.composable) linear_search() (in module quapy.functional)

load() (quapy.data.base.Dataset class method) (quapy.data.base.LabelledCollection class method) load_report() (in module quapy.util) LowRankLogisticRegression (class in quapy.classification.methods) LSTMnet (class in quapy.classification.neural)

M

mae() (in module quapy.error) mae_loss() (in module quapy.method._neural) map_parallel() (in module quapy.util) maqe() (in module quapy.error) match_distance() (in module quapy.error) MAX (class in quapy.method._threshold_optim) MAX_FEATURES_FOR_EMPIRICAL_ESTIMATION (quapy.method.non_aggregative.ReadMe attribute) MAX_ITER (quapy.method.aggregative.EMQ attribute) MaximumLikelihoodPrevalenceEstimation (class in quapy.method.non_aggregative) MCMQ (class in quapy.method.meta) MCSQ (class in quapy.method.meta) md() (in module quapy.error) mean_absolute_error() (in module quapy.error) mean_bias_binary() (in module quapy.error) mean_dist_aitchison() (in module quapy.error) mean_normalized_absolute_error() (in module quapy.error) mean_normalized_relative_absolute_error() (in module quapy.error) mean_relative_absolute_error() (in module quapy.error) mean_winkler_score() (quapy.method.confidence.ConfidenceIntervals method) (quapy.method.confidence.ConfidenceIntervalsTransformed method) MedianEstimator (class in quapy.method.meta) merge() (in module quapy.method.meta) MERGE_FUNCTIONS (quapy.method.meta.SCMQ attribute) METHODS (quapy.method.aggregative.ACC attribute) metric (quapy.method.composable.DistanceRepresentation attribute) mkld() (in module quapy.error) mnae() (in module quapy.error) mnkld() (in module quapy.error) mnrae() (in module quapy.error) MockClassifierFromPosteriors (class in quapy.classification.methods) module quapy quapy.classification quapy.classification.calibration quapy.classification.methods quapy.classification.neural quapy.classification.svmperf quapy.data quapy.data.base quapy.data.datasets quapy.data.preprocessing quapy.data.reader quapy.error quapy.evaluation quapy.functional quapy.method quapy.method._kdey quapy.method._neural quapy.method._threshold_optim quapy.method.aggregative quapy.method.base quapy.method.composable quapy.method.confidence quapy.method.meta quapy.method.non_aggregative quapy.model_selection quapy.plot quapy.protocol quapy.util

montecarlo_proportion() (quapy.method.confidence.ConfidenceRegionABC method) mrae() (in module quapy.error) MS (class in quapy.method._threshold_optim) MS2 (class in quapy.method._threshold_optim) mse() (in module quapy.error) msre() (in module quapy.error)

N

n_bins (quapy.method.composable.HistogramRepresentation attribute) n_classes (quapy.data.base.Dataset property) (quapy.data.base.LabelledCollection property) n_dim (quapy.method.confidence.ConfidenceIntervals property) n_instances (quapy.data.base.LabelledCollection property) n_output_features (quapy.method.composable.ClassRepresentation property) (quapy.method.composable.DistanceRepresentation property) (quapy.method.composable.EnergyKernelRepresentation property) (quapy.method.composable.GaussianKernelRepresentation property) (quapy.method.composable.GaussianRFFKernelRepresentation property) (quapy.method.composable.HistogramRepresentation property) (quapy.method.composable.KernelRepresentation property) n_rff (quapy.method.composable.GaussianRFFKernelRepresentation attribute) nae() (in module quapy.error) NaturalPrevalenceProtocol (in module quapy.protocol) NBVSCalibration (class in quapy.classification.calibration) ndim() (quapy.method.confidence.ConfidenceRegionABC method) neg_label (quapy.method.aggregative.BinaryAggregativeQuantifier property) NeuralClassifierTrainer (class in quapy.classification.neural)

newELM() (in module quapy.method.aggregative) newInvariantRatioEstimation() (quapy.method.aggregative.ACC class method) newOneVsAll() (in module quapy.method.base) newSVMAE() (in module quapy.method.aggregative) newSVMKLD() (in module quapy.method.aggregative) newSVMNKLD() (in module quapy.method.aggregative) newSVMQ() (in module quapy.method.aggregative) newSVMRAE() (in module quapy.method.aggregative) nkld() (in module quapy.error) nmd() (in module quapy.error) NORMALIZATIONS (quapy.method.aggregative.ACC attribute) normalize_prevalence() (in module quapy.functional) normalized_absolute_error() (in module quapy.error) normalized_entropy() (in module quapy.functional) normalized_match_distance() (in module quapy.error) normalized_relative_absolute_error() (in module quapy.error) NPP (class in quapy.protocol) nrae() (in module quapy.error) num_classes_from_labels() (in module quapy.functional) num_prevalence_combinations() (in module quapy.functional)

O

ON_CALIB_ERROR_VALUES (quapy.method.aggregative.EMQ attribute) on_preclassified_instances() (quapy.protocol.OnLabelledCollectionProtocol method) OneVsAll (class in quapy.method.base)

OneVsAllAggregative (class in quapy.method.aggregative) OneVsAllGeneric (class in quapy.method.base) OnLabelledCollectionProtocol (class in quapy.protocol) optim_minimize() (in module quapy.functional)

P

p (quapy.data.base.LabelledCollection property) PACC (class in quapy.method.aggregative) parallel() (in module quapy.util) parallel_unpack() (in module quapy.util) PCC (class in quapy.method.aggregative) pdf() (quapy.method._kdey.KDEBase method) pickled_resource() (in module quapy.util) plot_simplex() (in module quapy.plot) point_estimate() (quapy.method.confidence.ConfidenceEllipseSimplex method) (quapy.method.confidence.ConfidenceEllipseTransformed method) (quapy.method.confidence.ConfidenceIntervals method) (quapy.method.confidence.ConfidenceIntervalsTransformed method) (quapy.method.confidence.ConfidenceRegionABC method) pos_label (quapy.method.aggregative.BinaryAggregativeQuantifier property) PQ (class in quapy.method.confidence) predict() (quapy.classification.calibration.RecalibratedProbabilisticClassifierBase method) (quapy.classification.calibration.TemperatureScalingFromLogits method) (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.methods.MockClassifierFromPosteriors method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.classification.svmperf.SVMperf method) (quapy.method._neural.QuaNetTrainer method) (quapy.method.aggregative.AggregativeMedianEstimator method) (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.base.BaseQuantifier method) (quapy.method.base.OneVsAllGeneric method) (quapy.method.composable.CVClassifier method) (quapy.method.composable.QUnfoldWrapper method) (quapy.method.meta.Ensemble method) (quapy.method.meta.MedianEstimator method) (quapy.method.non_aggregative.DMx method) (quapy.method.non_aggregative.EDx method) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method) (quapy.method.non_aggregative.ReadMe method) (quapy.model_selection.GridSearchQ method)

predict_conf() (quapy.method.confidence.AggregativeBootstrap method) (quapy.method.confidence.BayesianCC method) (quapy.method.confidence.PQ method) (quapy.method.confidence.WithConfidenceABC method) (quapy.method.non_aggregative.ReadMe method) predict_proba() (quapy.classification.calibration.RecalibratedProbabilisticClassifierBase method) (quapy.classification.calibration.TemperatureScalingFromLogits method) (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.methods.MockClassifierFromPosteriors method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.classification.neural.TextClassifierNet method) (quapy.method.aggregative.EMQ method) (quapy.method.composable.CVClassifier method) prediction() (in module quapy.evaluation) preprocessor (quapy.method.composable.DistanceRepresentation attribute) (quapy.method.composable.EnergyKernelRepresentation attribute) (quapy.method.composable.GaussianKernelRepresentation attribute) (quapy.method.composable.GaussianRFFKernelRepresentation attribute) (quapy.method.composable.HistogramRepresentation attribute) prevalence() (quapy.data.base.LabelledCollection method) prevalence_from_labels() (in module quapy.functional) prevalence_from_probabilities() (in module quapy.functional) prevalence_grid() (quapy.protocol.APP method) prevalence_linspace() (in module quapy.functional) probabilistic (quapy.method.meta.Ensemble property) PROBABILISTIC_MODELS (quapy.method.non_aggregative.ReadMe attribute) ProbabilisticAdjustedClassifyAndCount (in module quapy.method.aggregative) ProbabilisticClassifyAndCount (in module quapy.method.aggregative) projection_simplex_sort() (in module quapy.functional) ProtocolFromIndex (class in quapy.protocol)

Q

QuaNetModule (class in quapy.method._neural) QuaNetTrainer (class in quapy.method._neural) quantify() (quapy.method.base.BaseQuantifier method) (quapy.method.meta.MCMQ method) (quapy.method.meta.MCSQ method) quantify_conf() (quapy.method.confidence.WithConfidenceABC method) quapy module quapy.classification module quapy.classification.calibration module quapy.classification.methods module quapy.classification.neural module quapy.classification.svmperf module quapy.data module quapy.data.base module quapy.data.datasets module quapy.data.preprocessing module quapy.data.reader module quapy.error module quapy.evaluation module

quapy.functional module quapy.method module quapy.method._kdey module quapy.method._neural module quapy.method._threshold_optim module quapy.method.aggregative module quapy.method.base module quapy.method.composable module quapy.method.confidence module quapy.method.meta module quapy.method.non_aggregative module quapy.model_selection module quapy.plot module quapy.protocol module quapy.util module QUnfoldWrapper (class in quapy.method.composable)

R

rae() (in module quapy.error) random_state (quapy.protocol.AbstractStochasticSeededProtocol property) ReadMe (class in quapy.method.non_aggregative) RecalibratedProbabilisticClassifier (class in quapy.classification.calibration) RecalibratedProbabilisticClassifierBase (class in quapy.classification.calibration) reduce() (quapy.data.base.Dataset method)

reduce_columns() (in module quapy.data.preprocessing) REGION_TYPE (quapy.method.confidence.WithConfidenceABC attribute) reindex_labels() (in module quapy.data.reader) relative_absolute_error() (in module quapy.error) reset_net_params() (quapy.classification.neural.NeuralClassifierTrainer method) RETURN_TYPES (quapy.protocol.OnLabelledCollectionProtocol attribute) RLLS (class in quapy.method.aggregative)

S

sample() (quapy.protocol.AbstractStochasticSeededProtocol method) (quapy.protocol.DomainMixer method) (quapy.protocol.OnLabelledCollectionProtocol method) sample_from_posterior() (quapy.method.confidence.BayesianCC method) samples (quapy.method.confidence.ConfidenceEllipseSimplex property) (quapy.method.confidence.ConfidenceEllipseTransformed property) (quapy.method.confidence.ConfidenceIntervals property) (quapy.method.confidence.ConfidenceIntervalsTransformed property) (quapy.method.confidence.ConfidenceRegionABC property) samples_parameters() (quapy.protocol.AbstractStochasticSeededProtocol method) (quapy.protocol.APP method) (quapy.protocol.DirichletProtocol method) (quapy.protocol.DomainMixer method) (quapy.protocol.NPP method) (quapy.protocol.UPP method) sampling() (quapy.data.base.LabelledCollection method) sampling_from_index() (quapy.data.base.LabelledCollection method) sampling_index() (quapy.data.base.LabelledCollection method) save_text_file() (in module quapy.util) SCMQ (class in quapy.method.meta) se() (in module quapy.error) seed (quapy.method.composable.GaussianRFFKernelRepresentation attribute) set_fit_request() (quapy.method.composable.CVClassifier method) (quapy.method.meta.MCMQ method) (quapy.method.meta.MCSQ method) set_params() (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.method._neural.QuaNetTrainer method) (quapy.method.aggregative.AggregativeMedianEstimator method) (quapy.method.composable.QUnfoldWrapper method) (quapy.method.meta.Ensemble method) (quapy.method.meta.MedianEstimator method) (quapy.model_selection.GridSearchQ method)

set_predict_proba_request() (quapy.method.aggregative.EMQ method) set_predict_request() (quapy.method.aggregative.AggregativeMedianEstimator method) set_score_request() (quapy.classification.svmperf.SVMperf method) (quapy.method.composable.CVClassifier method) shrink_posteriors() (quapy.method._kdey.KDEBase method) sigma (quapy.method.composable.GaussianKernelRepresentation attribute) (quapy.method.composable.GaussianRFFKernelRepresentation attribute) simplex_portion() (quapy.method.confidence.ConfidenceRegionABC method) simplex_volume() (in module quapy.method.confidence) SLD (in module quapy.method.aggregative) SMM (class in quapy.method.aggregative) smooth() (in module quapy.error) softmax() (in module quapy.functional) solve_adjustment() (in module quapy.functional) solve_adjustment_binary() (in module quapy.functional) SOLVERS (quapy.method.aggregative.ACC attribute) split_random() (quapy.data.base.LabelledCollection method) split_stratified() (quapy.data.base.LabelledCollection method) SplitStratified() (quapy.data.base.Dataset class method) squared_ratio_error() (in module quapy.error) sre() (in module quapy.error) standardize() (in module quapy.data.preprocessing) stats() (quapy.data.base.Dataset method) (quapy.data.base.LabelledCollection method) Status (class in quapy.model_selection) strprev() (in module quapy.functional) SUCCESS (quapy.model_selection.Status attribute) success() (quapy.model_selection.ConfigStatus method) SVMperf (class in quapy.classification.svmperf)

T

T50 (class in quapy.method._threshold_optim) temp_seed() (in module quapy.util) TemperatureScalingFromLogits (class in quapy.classification.calibration) ternary_search() (in module quapy.functional) text2tfidf() (in module quapy.data.preprocessing) TextClassifierNet (class in quapy.classification.neural) ThresholdOptimization (class in quapy.method._threshold_optim) TikhonovRegularization (class in quapy.method.composable) TikhonovRegularized() (in module quapy.method.composable) TIMEOUT (quapy.model_selection.Status attribute) timeout() (in module quapy.util) TopsoeDistance() (in module quapy.functional) TorchDataset (class in quapy.classification.neural) total() (quapy.protocol.AbstractProtocol method) (quapy.protocol.APP method) (quapy.protocol.DirichletProtocol method) (quapy.protocol.DomainMixer method) (quapy.protocol.IterateProtocol method) (quapy.protocol.NPP method) (quapy.protocol.ProtocolFromIndex method) (quapy.protocol.UPP method)

train_test (quapy.data.base.Dataset property) transform() (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.data.preprocessing.IndexTransformer method) (quapy.method.composable.ClassRepresentation method) (quapy.method.composable.DistanceRepresentation method) (quapy.method.composable.EnergyKernelRepresentation method) (quapy.method.composable.GaussianKernelRepresentation method) (quapy.method.composable.GaussianRFFKernelRepresentation method) (quapy.method.composable.HistogramRepresentation method) (quapy.method.composable.KernelRepresentation method) transform_posteriors() (quapy.method._kdey.KDEBase method) TSCalibration (class in quapy.classification.calibration)

U

uniform_prevalence() (in module quapy.functional) uniform_prevalence_sampling() (in module quapy.functional) uniform_sampling() (quapy.data.base.LabelledCollection method) uniform_sampling_index() (quapy.data.base.LabelledCollection method)

uniform_simplex_sampling() (in module quapy.functional) UniformPrevalenceProtocol (in module quapy.protocol) unit_scale (quapy.method.composable.HistogramRepresentation attribute) UPP (class in quapy.protocol)

V

valid_losses (quapy.classification.svmperf.SVMperf attribute) VALID_POLICIES (quapy.method.meta.Ensemble attribute) vocabulary_size (quapy.classification.neural.CNNnet property) (quapy.classification.neural.LSTMnet property) (quapy.classification.neural.TextClassifierNet property) (quapy.data.base.Dataset property)

vocabulary_size() (quapy.data.preprocessing.IndexTransformer method) VSCalibration (class in quapy.classification.calibration)

W

winkler_scores() (quapy.method.confidence.ConfidenceIntervals method) (quapy.method.confidence.ConfidenceIntervalsTransformed method)

WithConfidenceABC (class in quapy.method.confidence) within_ellipse_prop() (in module quapy.method.confidence) within_ellipse_prop__() (in module quapy.method.confidence)

X

X (class in quapy.method._threshold_optim) (quapy.data.base.LabelledCollection property)

xavier_uniform() (quapy.classification.neural.TextClassifierNet method) Xp (quapy.data.base.LabelledCollection property) Xy (quapy.data.base.LabelledCollection property)

Y

y (quapy.data.base.LabelledCollection property)