Index

A

absolute_error() (in module quapy.error) ACC (class in quapy.method.aggregative) acc_error() (in module quapy.error) acce() (in module quapy.error) accuracy_policy() (quapy.method.meta.Ensemble method) 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.ELM method) (quapy.method.aggregative.EMQ method) (quapy.method.aggregative.HDy method) (quapy.method.aggregative.OneVsAll method) (quapy.method.aggregative.PACC method) (quapy.method.aggregative.PCC method) (quapy.method.aggregative.ThresholdOptimization method)

aggregative (quapy.method.aggregative.AggregativeQuantifier property) (quapy.method.base.BaseQuantifier property) (quapy.method.meta.Ensemble property) AggregativeProbabilisticQuantifier (class in quapy.method.aggregative) AggregativeQuantifier (class in quapy.method.aggregative) artificial_prevalence_prediction() (in module quapy.evaluation) artificial_prevalence_protocol() (in module quapy.evaluation) artificial_prevalence_report() (in module quapy.evaluation) artificial_prevalence_sampling() (in module quapy.functional) artificial_sampling_generator() (quapy.data.base.LabelledCollection method) artificial_sampling_index_generator() (quapy.data.base.LabelledCollection method) asDataloader() (quapy.classification.neural.TorchDataset method)

B

BaseQuantifier (class in quapy.method.base) best_model() (quapy.model_selection.GridSearchQ method) binarize() (in module quapy.data.reader) binary (quapy.data.base.Dataset property) (quapy.data.base.LabelledCollection property) (quapy.method.aggregative.OneVsAll property) (quapy.method.base.BaseQuantifier property) (quapy.method.base.BinaryQuantifier property) (quapy.method.meta.Ensemble 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) classes_ (quapy.data.base.Dataset property) (quapy.method.aggregative.AggregativeQuantifier property) (quapy.method.aggregative.OneVsAll property) (quapy.method.base.BaseQuantifier property) (quapy.method.meta.Ensemble property) (quapy.method.neural.QuaNetTrainer property) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation property) (quapy.model_selection.GridSearchQ property) classify() (quapy.method.aggregative.ACC method) (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.ELM method) (quapy.method.aggregative.OneVsAll 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) compute_fpr() (quapy.method.aggregative.ThresholdOptimization method) compute_table() (quapy.method.aggregative.ThresholdOptimization method) compute_tpr() (quapy.method.aggregative.ThresholdOptimization method) counts() (quapy.data.base.LabelledCollection method) create_if_not_exist() (in module quapy.util) create_parent_dir() (in module quapy.util)

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) document_embedding() (quapy.classification.neural.CNNnet method) (quapy.classification.neural.LSTMnet method) (quapy.classification.neural.TextClassifierNet method)

download_file() (in module quapy.util) download_file_if_not_exists() (in module quapy.util) ds_policy() (quapy.method.meta.Ensemble method) ds_policy_get_posteriors() (quapy.method.meta.Ensemble method)

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) ELM (class in quapy.method.aggregative) 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) epoch() (quapy.method.neural.QuaNetTrainer method) EPSILON (quapy.method.aggregative.EMQ attribute) error_by_drift() (in module quapy.plot) evaluate() (in module quapy.evaluation) ExpectationMaximizationQuantifier (in module quapy.method.aggregative) ExplicitLossMinimisation (in module quapy.method.aggregative)

F

f1_error() (in module quapy.error) f1e() (in module quapy.error) 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.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.ELM method) (quapy.method.aggregative.EMQ method) (quapy.method.aggregative.HDy method) (quapy.method.aggregative.OneVsAll method) (quapy.method.aggregative.PACC method) (quapy.method.aggregative.PCC method) (quapy.method.aggregative.ThresholdOptimization method) (quapy.method.base.BaseQuantifier method) (quapy.method.meta.Ensemble method) (quapy.method.neural.QuaNetTrainer method) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method) (quapy.model_selection.GridSearchQ 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

gen_prevalence_prediction() (in module quapy.evaluation) get_aggregative_estims() (quapy.method.neural.QuaNetTrainer 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.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.OneVsAll method) (quapy.method.base.BaseQuantifier method) (quapy.method.meta.Ensemble method) (quapy.method.neural.QuaNetTrainer method) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method) (quapy.model_selection.GridSearchQ method)

get_probability_distribution() (in module quapy.method.meta) get_quapy_home() (in module quapy.util) 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) init_hidden() (quapy.method.neural.QuaNetModule method) isaggregative() (in module quapy.method.base)

isbinary() (in module quapy) (in module quapy.data.base) (in module quapy.method.base) isprobabilistic() (in module quapy.method.base)

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) learner (quapy.method.aggregative.AggregativeQuantifier property) 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.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.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) (quapy.method.aggregative.AggregativeQuantifier property) natural_prevalence_prediction() (in module quapy.evaluation) natural_prevalence_protocol() (in module quapy.evaluation) natural_prevalence_report() (in module quapy.evaluation)

natural_sampling_generator() (quapy.data.base.LabelledCollection method) natural_sampling_index_generator() (quapy.data.base.LabelledCollection method) NeuralClassifierTrainer (class in quapy.classification.neural) nkld() (in module quapy.error) normalize_prevalence() (in module quapy.functional) num_prevalence_combinations() (in module quapy.functional)

O

OneVsAll (class in quapy.method.aggregative) optimize_threshold() (quapy.method.aggregative.MS method) (quapy.method.aggregative.MS2 method) (quapy.method.aggregative.ThresholdOptimization method)

P

PACC (class in quapy.method.aggregative) parallel() (in module quapy.util) PCC (class in quapy.method.aggregative) pickled_resource() (in module quapy.util) posterior_probabilities() (quapy.method.aggregative.AggregativeProbabilisticQuantifier method) (quapy.method.aggregative.OneVsAll method) predict() (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.classification.svmperf.SVMperf method) predict_proba() (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.classification.neural.TextClassifierNet method) (quapy.method.aggregative.AggregativeProbabilisticQuantifier method) (quapy.method.aggregative.EMQ method)

prevalence() (quapy.data.base.LabelledCollection method) prevalence_from_labels() (in module quapy.functional) prevalence_from_probabilities() (in module quapy.functional) prevalence_linspace() (in module quapy.functional) probabilistic (quapy.method.aggregative.AggregativeProbabilisticQuantifier property) (quapy.method.aggregative.OneVsAll property) (quapy.method.base.BaseQuantifier property) (quapy.method.meta.Ensemble property) ProbabilisticAdjustedClassifyAndCount (in module quapy.method.aggregative) ProbabilisticClassifyAndCount (in module quapy.method.aggregative) ptr_policy() (quapy.method.meta.Ensemble method)

Q

QuaNetModule (class in quapy.method.neural) QuaNetTrainer (class in quapy.method.neural) quantify() (quapy.method.aggregative.AggregativeProbabilisticQuantifier method) (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.OneVsAll method) (quapy.method.base.BaseQuantifier 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.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.util module

R

rae() (in module quapy.error) 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)

S

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.classification.svmperf.SVMperf method) (quapy.method.aggregative.AggregativeProbabilisticQuantifier method) (quapy.method.aggregative.AggregativeQuantifier method) (quapy.method.aggregative.OneVsAll method) (quapy.method.base.BaseQuantifier method) (quapy.method.meta.Ensemble method) (quapy.method.neural.QuaNetTrainer method) (quapy.method.non_aggregative.MaximumLikelihoodPrevalenceEstimation method) (quapy.model_selection.GridSearchQ method)

smooth() (in module quapy.error) solve_adjustment() (quapy.method.aggregative.ACC class method) sout() (quapy.method.meta.Ensemble 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) SVMAE (class in quapy.method.aggregative) SVMKLD (class in quapy.method.aggregative) SVMNKLD (class in quapy.method.aggregative) SVMperf (class in quapy.classification.svmperf) SVMQ (class in quapy.method.aggregative) SVMRAE (class in quapy.method.aggregative)

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)

TorchDataset (class in quapy.classification.neural) training_helper() (in module quapy.method.aggregative) transform() (quapy.classification.methods.LowRankLogisticRegression method) (quapy.classification.neural.NeuralClassifierTrainer method) (quapy.data.preprocessing.IndexTransformer method)

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)

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)

W

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

X

X (class in quapy.method.aggregative)

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