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.BayesianCC method) (quapy.method.aggregative.CC method) (quapy.method.aggregative.DMy method) (quapy.method.aggregative.DyS 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.SMM 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.BayesianCC method) (quapy.method.aggregative.CC method) (quapy.method.aggregative.DMy method) (quapy.method.aggregative.DyS method) (quapy.method.aggregative.EMQ method) (quapy.method.aggregative.HDy method) (quapy.method.aggregative.PACC method) (quapy.method.aggregative.PCC method) (quapy.method.aggregative.SMM method) aggregative (quapy.method.meta.Ensemble property) AggregativeCrispQuantifier (class in quapy.method.aggregative) AggregativeMedianEstimator (class in quapy.method.aggregative) AggregativeQuantifier (class in quapy.method.aggregative) AggregativeSoftQuantifier (class in quapy.method.aggregative) APP (class in quapy.protocol) 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.aggregative) BCTSCalibration (class in quapy.classification.calibration) best_model() (quapy.model_selection.GridSearchQ method) 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) brokenbar_supremacy_by_drift() (in module quapy.plot)

C

CC (class in quapy.method.aggregative) check_prevalence_vector() (in module quapy.functional) classes_ (quapy.classification.calibration.RecalibratedProbabilisticClassifierBase property) (quapy.data.base.Dataset property) (quapy.method._neural.QuaNetTrainer property) (quapy.method.aggregative.AggregativeQuantifier property) (quapy.method.base.OneVsAllGeneric property) classifier (quapy.method.aggregative.AggregativeQuantifier property) classifier_fit_predict() (quapy.method.aggregative.AggregativeQuantifier method) classify() (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.EMQ method) (quapy.method.aggregative.OneVsAllAggregative method) ClassifyAndCount (in module quapy.method.aggregative) clean_checkpoint() (quapy.method._neural.QuaNetTrainer method) clean_checkpoint_dir() (quapy.method._neural.QuaNetTrainer method)

clip() (in module quapy.functional) CNNnet (class in quapy.classification.neural) collator() (quapy.protocol.AbstractStochasticSeededProtocol method) 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) ConfigStatus (class in quapy.model_selection) counts() (quapy.data.base.LabelledCollection method) counts_from_labels() (in module quapy.functional) create_if_not_exist() (in module quapy.util) create_parent_dir() (in module quapy.util) cross_val_predict() (in module quapy.model_selection)

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) discard() (quapy.method._threshold_optim.MS2 method) (quapy.method._threshold_optim.ThresholdOptimization method) 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) EEMQ() (in module quapy.method.meta) 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) Ensemble (class in quapy.method.meta)

ensembleFactory() (in module quapy.method.meta) EPACC() (in module quapy.method.meta) EPSILON (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_lequa2022() (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.methods.LowRankLogisticRegression 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.meta.Ensemble method) (quapy.method.meta.MedianEstimator method) (quapy.method.meta.MedianEstimator2 method) (quapy.method.non_aggregative.DMx method) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method) (quapy.method.non_aggregative.ReadMe method) (quapy.model_selection.GridSearchQ method)

fit_cv() (quapy.classification.calibration.RecalibratedProbabilisticClassifierBase method) fit_tr_val() (quapy.classification.calibration.RecalibratedProbabilisticClassifierBase method) fit_transform() (quapy.data.preprocessing.IndexTransformer 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

get_collator() (quapy.protocol.OnLabelledCollectionProtocol class method) get_conditional_probability_samples() (quapy.method.aggregative.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.meta.Ensemble method) (quapy.method.meta.MedianEstimator method) (quapy.method.meta.MedianEstimator2 method) (quapy.model_selection.GridSearchQ method)

get_prevalence_samples() (quapy.method.aggregative.BayesianCC method) get_probability_distribution() (in module quapy.method.meta) get_quapy_home() (in module quapy.util) 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() (quapy.method.non_aggregative.DMx class method) HDy (class in quapy.method.aggregative)

HellingerDistance() (in module quapy.functional) HellingerDistanceY (in module quapy.method.aggregative)

I

index() (in module quapy.data.preprocessing) IndexTransformer (class in quapy.data.preprocessing)

INVALID (quapy.model_selection.Status 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) 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) linear_search() (in module quapy.functional)

load() (quapy.data.base.Dataset class method) (quapy.data.base.LabelledCollection class method) 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) MAX (class in quapy.method._threshold_optim) MAX_ITER (quapy.method.aggregative.EMQ attribute) MaximumLikelihoodPrevalenceEstimation (class in quapy.method.non_aggregative) mean_absolute_error() (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) MedianEstimator (class in quapy.method.meta) MedianEstimator2 (class in quapy.method.meta) METHODS (quapy.method.aggregative.ACC attribute) mkld() (in module quapy.error) mnae() (in module quapy.error) mnkld() (in module quapy.error) mnrae() (in module quapy.error) 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.meta quapy.method.non_aggregative quapy.model_selection quapy.plot quapy.protocol quapy.util

mrae() (in module quapy.error) MS (class in quapy.method._threshold_optim) MS2 (class in quapy.method._threshold_optim) mse() (in module quapy.error)

N

n_classes (quapy.data.base.Dataset property) (quapy.data.base.LabelledCollection property) nae() (in module quapy.error) NaturalPrevalenceProtocol (in module quapy.protocol) NBVSCalibration (class in quapy.classification.calibration) 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) newSVMQ() (in module quapy.method.aggregative) newSVMRAE() (in module quapy.method.aggregative) nkld() (in module quapy.error) NORMALIZATIONS (quapy.method.aggregative.ACC attribute) normalize_prevalence() (in module quapy.functional) normalized_absolute_error() (in module quapy.error) normalized_relative_absolute_error() (in module quapy.error) NPP (class in quapy.protocol) nrae() (in module quapy.error) num_prevalence_combinations() (in module quapy.functional)

O

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) pos_label (quapy.method.aggregative.BinaryAggregativeQuantifier property) predict() (quapy.classification.calibration.RecalibratedProbabilisticClassifierBase method) (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.classification.svmperf.SVMperf method) predict_proba() (quapy.classification.calibration.RecalibratedProbabilisticClassifierBase method) (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.classification.neural.TextClassifierNet method) (quapy.method.aggregative.EMQ method)

prediction() (in module quapy.evaluation) 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) ProbabilisticAdjustedClassifyAndCount (in module quapy.method.aggregative) ProbabilisticClassifyAndCount (in module quapy.method.aggregative) projection_simplex_sort() (in module quapy.functional)

Q

QuaNetModule (class in quapy.method._neural) QuaNetTrainer (class in quapy.method._neural) quantify() (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.meta.Ensemble method) (quapy.method.meta.MedianEstimator method) (quapy.method.meta.MedianEstimator2 method) (quapy.method.non_aggregative.DMx method) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method) (quapy.method.non_aggregative.ReadMe method) (quapy.model_selection.GridSearchQ 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.meta module quapy.method.non_aggregative module quapy.model_selection module quapy.plot module quapy.protocol module quapy.util module

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) 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)

S

sample() (quapy.protocol.AbstractStochasticSeededProtocol method) (quapy.protocol.APP method) (quapy.protocol.DomainMixer method) (quapy.protocol.NPP method) (quapy.protocol.UPP method) sample_from_posterior() (quapy.method.aggregative.BayesianCC method) samples_parameters() (quapy.protocol.AbstractStochasticSeededProtocol method) (quapy.protocol.APP 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) se() (in module quapy.error) set_params() (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.method._neural.QuaNetTrainer method) (quapy.method.aggregative.AggregativeMedianEstimator method) (quapy.method.meta.Ensemble method) (quapy.method.meta.MedianEstimator method) (quapy.method.meta.MedianEstimator2 method) (quapy.model_selection.GridSearchQ method)

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) standardize() (in module quapy.data.preprocessing) stats() (quapy.data.base.Dataset method) (quapy.data.base.LabelledCollection method) Status (class in quapy.model_selection) std_constrained_linear_ls() (quapy.method.non_aggregative.ReadMe method) 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) 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) 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.DomainMixer method) (quapy.protocol.IterateProtocol method) (quapy.protocol.NPP method) (quapy.protocol.UPP method)

train_test (quapy.data.base.Dataset property) training (quapy.classification.neural.CNNnet attribute) (quapy.classification.neural.LSTMnet attribute) (quapy.classification.neural.TextClassifierNet attribute) (quapy.method._neural.QuaNetModule attribute) transform() (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.data.preprocessing.IndexTransformer method) TSCalibration (class in quapy.classification.calibration)

U

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) UPP (class in quapy.protocol)

V

val_split (quapy.method.aggregative.AggregativeQuantifier property) val_split_ (quapy.method.aggregative.AggregativeQuantifier attribute) 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

warn() (in module quapy.data.datasets)

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)