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.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.meta.SCMQ 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.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.meta.SCMQ 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) 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) 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) 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) CNNnet (class in quapy.classification.neural) collator() (quapy.protocol.AbstractStochasticSeededProtocol method) CombinedLoss (class in quapy.method.composable) ComposableQuantifier() (in module quapy.method.composable) 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_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) discard() (quapy.method._threshold_optim.MS2 method) (quapy.method._threshold_optim.ThresholdOptimization method) 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) 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) 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.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_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.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.composable.CVClassifier method) (quapy.method.composable.QUnfoldWrapper method) (quapy.method.meta.Ensemble method) (quapy.method.meta.MCMQ method) (quapy.method.meta.MCSQ method) (quapy.method.meta.MedianEstimator method) (quapy.method.meta.MedianEstimator2 method) (quapy.method.non_aggregative.DMx method) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation 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_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.method.meta.MedianEstimator2 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) 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) HellingerSurrogateLoss (class in quapy.method.composable) HistogramRepresentation (class in quapy.method.composable)

I

index() (in module quapy.data.preprocessing) IndexTransformer (class in quapy.data.preprocessing) instantiate() (quapy.method.composable.CombinedLoss method) (quapy.method.composable.TikhonovRegularization method)

INVALID (quapy.model_selection.Status attribute) 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) 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) match_distance() (in module quapy.error) MAX (class in quapy.method._threshold_optim) 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_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) 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) 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.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_bins (quapy.method.composable.HistogramRepresentation attribute) n_classes (quapy.data.base.Dataset property) (quapy.data.base.LabelledCollection property) n_instances (quapy.data.base.LabelledCollection property) n_rff (quapy.method.composable.GaussianRFFKernelRepresentation attribute) 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) 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_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) 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) (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.meta.MedianEstimator2 method) (quapy.method.non_aggregative.DMx method) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method) (quapy.model_selection.GridSearchQ 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) (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) 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) 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.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) 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) SCMQ (class in quapy.method.meta) se() (in module quapy.error) seed (quapy.method.composable.GaussianRFFKernelRepresentation attribute) set_fit_request() (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.method.meta.MedianEstimator2 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) sigma (quapy.method.composable.GaussianKernelRepresentation attribute) (quapy.method.composable.GaussianRFFKernelRepresentation attribute) 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) 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) 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.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) 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)

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)