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) adjusted_quantification() (in module quapy.functional) AdjustedClassifyAndCount (in module quapy.method.aggregative) ae() (in module quapy.error) aggregate() (quapy.method.aggregative.ACC method) (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.CC method) (quapy.method.aggregative.DistributionMatching 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) (quapy.method.aggregative.ThresholdOptimization method)

aggregative (quapy.method.meta.Ensemble property) AggregativeProbabilisticQuantifier (class in quapy.method.aggregative) AggregativeQuantifier (class in quapy.method.aggregative) APP (class in quapy.protocol) ArtificialPrevalenceProtocol (in module quapy.protocol) asDataloader() (quapy.classification.neural.TorchDataset method)

B

BaseQuantifier (class in quapy.method.base) 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) 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.aggregative.AggregativeQuantifier property) (quapy.method.base.OneVsAllGeneric property) (quapy.method.neural.QuaNetTrainer property) classifier (quapy.method.aggregative.AggregativeQuantifier property) classify() (quapy.method.aggregative.ACC method) (quapy.method.aggregative.AggregativeProbabilisticQuantifier method) (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.OneVsAllAggregative method) (quapy.method.aggregative.PACC method)

ClassifyAndCount (in module quapy.method.aggregative) clean_checkpoint() (quapy.method.neural.QuaNetTrainer method) clean_checkpoint_dir() (quapy.method.neural.QuaNetTrainer method) CNNnet (class in quapy.classification.neural) collator() (quapy.protocol.AbstractStochasticSeededProtocol method) counts() (quapy.data.base.LabelledCollection method) create_if_not_exist() (in module quapy.util) create_parent_dir() (in module quapy.util) cross_generate_predictions() (in module quapy.method.aggregative) 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) DistributionMatching (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) 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_by_drift() (in module quapy.plot) evaluate() (in module quapy.evaluation) evaluate_on_samples() (in module quapy.evaluation) evaluation_report() (in module quapy.evaluation) ExpectationMaximizationQuantifier (in module quapy.method.aggregative)

F

f1_error() (in module quapy.error) f1e() (in module quapy.error) fetch_lequa2022() (in module quapy.data.datasets) fetch_reviews() (in module quapy.data.datasets) fetch_twitter() (in module quapy.data.datasets) fetch_UCIDataset() (in module quapy.data.datasets) fetch_UCILabelledCollection() (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.aggregative.ACC method) (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.CC method) (quapy.method.aggregative.DistributionMatching 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) (quapy.method.aggregative.ThresholdOptimization method) (quapy.method.base.BaseQuantifier method) (quapy.method.base.OneVsAllGeneric method) (quapy.method.meta.Ensemble method) (quapy.method.neural.QuaNetTrainer method) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation 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_labelled_collection() (quapy.protocol.OnLabelledCollectionProtocol 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.meta.Ensemble method) (quapy.method.neural.QuaNetTrainer method) (quapy.model_selection.GridSearchQ 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) GridSearchQ (class in quapy.model_selection)

H

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) IterateProtocol (class in quapy.protocol)

J

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

K

kFCV() (quapy.data.base.Dataset class method) (quapy.data.base.LabelledCollection method)

kld() (in module quapy.error)

L

LabelledCollection (class in quapy.data.base) 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.aggregative) MAX_ITER (quapy.method.aggregative.EMQ attribute) MaximumLikelihoodPrevalenceEstimation (class in quapy.method.non_aggregative) mean_absolute_error() (in module quapy.error) mean_relative_absolute_error() (in module quapy.error) MedianSweep (in module quapy.method.aggregative) MedianSweep2 (in module quapy.method.aggregative) mkld() (in module quapy.error) mnkld() (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.aggregative quapy.method.base quapy.method.meta quapy.method.neural quapy.method.non_aggregative quapy.model_selection quapy.plot quapy.protocol quapy.util

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

N

n_classes (quapy.data.base.Dataset property) (quapy.data.base.LabelledCollection property) NaturalPrevalenceProtocol (in module quapy.protocol) NBVSCalibration (class in quapy.classification.calibration) NeuralClassifierTrainer (class in quapy.classification.neural) newELM() (in module quapy.method.aggregative) 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) normalize_prevalence() (in module quapy.functional) NPP (class in quapy.protocol) 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)

P

p (quapy.data.base.LabelledCollection property) PACC (class in quapy.method.aggregative) parallel() (in module quapy.util) PCC (class in quapy.method.aggregative) pickled_resource() (in module quapy.util) 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)

Q

QuaNetModule (class in quapy.method.neural) QuaNetTrainer (class in quapy.method.neural) quantify() (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.base.BaseQuantifier method) (quapy.method.base.OneVsAllGeneric method) (quapy.method.meta.Ensemble method) (quapy.method.neural.QuaNetTrainer method) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation 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.aggregative module quapy.method.base module quapy.method.meta module quapy.method.neural 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) 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) 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.meta.Ensemble method) (quapy.method.neural.QuaNetTrainer method) (quapy.model_selection.GridSearchQ method)

SLD (in module quapy.method.aggregative) SMM (class in quapy.method.aggregative) smooth() (in module quapy.error) solve_adjustment() (quapy.method.aggregative.ACC class method) 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) strprev() (in module quapy.functional) SVMperf (class in quapy.classification.svmperf)

T

T50 (class in quapy.method.aggregative) temp_seed() (in module quapy.util) text2tfidf() (in module quapy.data.preprocessing) TextClassifierNet (class in quapy.classification.neural) ThresholdOptimization (class in quapy.method.aggregative) 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

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.aggregative) (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)