Index

_

__call__() (alpbench.util.pytorch_tabnet.augmentations.ClassificationSMOTE method) (alpbench.util.pytorch_tabnet.augmentations.RegressionSMOTE method) (alpbench.util.pytorch_tabnet.metrics.Accuracy method) (alpbench.util.pytorch_tabnet.metrics.AUC method) (alpbench.util.pytorch_tabnet.metrics.BalancedAccuracy method) (alpbench.util.pytorch_tabnet.metrics.LogLoss method) (alpbench.util.pytorch_tabnet.metrics.MAE method) (alpbench.util.pytorch_tabnet.metrics.Metric method) (alpbench.util.pytorch_tabnet.metrics.MetricContainer method) (alpbench.util.pytorch_tabnet.metrics.MSE method) (alpbench.util.pytorch_tabnet.metrics.RMSE method) (alpbench.util.pytorch_tabnet.metrics.RMSLE method) (alpbench.util.pytorch_tabnet.metrics.UnsupervisedMetric method) (alpbench.util.pytorch_tabnet.metrics.UnsupervisedNumpyMetric method) (alpbench.util.pytorch_tabnet.metrics.UnsupMetricContainer method)

A

Accuracy (class in alpbench.util.pytorch_tabnet.metrics) active_fit() (alpbench.pipeline.ActiveLearningPipeline.ActiveLearningPipeline method) ActiveLearningPipeline (class in alpbench.pipeline.ActiveLearningPipeline) ActiveLearningScenario (class in alpbench.benchmark.ActiveLearningScenario) ActiveLearningSetting (class in alpbench.benchmark.ActiveLearningSetting) ActiveMLEnsembleQueryStrategy (class in alpbench.pipeline.QueryStrategy) ActiveMLModelBasedQueryStrategy (class in alpbench.pipeline.QueryStrategy) ActiveMLQueryStrategy (class in alpbench.pipeline.QueryStrategy) alpbench.benchmark module alpbench.benchmark.ActiveLearningScenario module alpbench.benchmark.ActiveLearningSetting module alpbench.benchmark.BenchmarkConnector module alpbench.benchmark.BenchmarkSuite module alpbench.benchmark.Observer module alpbench.evaluation module alpbench.evaluation.analysis module alpbench.evaluation.analysis.get_results module alpbench.evaluation.analysis.plot_functions module alpbench.evaluation.experimenter module alpbench.evaluation.experimenter.DefaultSetup module alpbench.evaluation.experimenter.Experimenter module alpbench.evaluation.experimenter.LogTableObserver module alpbench.pipeline module alpbench.pipeline.ActiveLearningPipeline module alpbench.pipeline.ALPEvaluator module

alpbench.pipeline.Initializer module alpbench.pipeline.Oracle module alpbench.pipeline.QueryStrategy module alpbench.util module alpbench.util.common module alpbench.util.ensemble_constructor module alpbench.util.pytorch_tabnet module alpbench.util.pytorch_tabnet.abstract_model module alpbench.util.pytorch_tabnet.augmentations module alpbench.util.pytorch_tabnet.callbacks module alpbench.util.pytorch_tabnet.metrics module alpbench.util.pytorch_tabnet.multiclass_utils module alpbench.util.pytorch_tabnet.multitask module alpbench.util.pytorch_tabnet.pretraining module alpbench.util.pytorch_tabnet.pretraining_utils module alpbench.util.pytorch_tabnet.sparsemax module alpbench.util.pytorch_tabnet.tab_model module alpbench.util.pytorch_tabnet.tab_network module alpbench.util.pytorch_tabnet.utils module ALPEvaluator (class in alpbench.pipeline.ALPEvaluator) append() (alpbench.util.pytorch_tabnet.callbacks.CallbackContainer method) assert_all_finite() (in module alpbench.util.pytorch_tabnet.multiclass_utils) AttentiveTransformer (class in alpbench.util.pytorch_tabnet.tab_network) AUC (class in alpbench.util.pytorch_tabnet.metrics)

B

backward() (alpbench.util.pytorch_tabnet.sparsemax.Entmax15Function static method) (alpbench.util.pytorch_tabnet.sparsemax.Entmoid15 static method) (alpbench.util.pytorch_tabnet.sparsemax.SparsemaxFunction static method) BalancedAccuracy (class in alpbench.util.pytorch_tabnet.metrics) BALDQueryStrategy (class in alpbench.pipeline.QueryStrategy)

base_folder (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector attribute) BatchBaldQueryStrategy (class in alpbench.pipeline.QueryStrategy) benchmark_connector (alpbench.pipeline.ALPEvaluator.ALPEvaluator attribute) BenchmarkConnector (class in alpbench.benchmark.BenchmarkConnector) BenchmarkSuite (class in alpbench.benchmark.BenchmarkSuite) BudgetPerformancePlot (class in alpbench.evaluation.analysis.plot_functions)

C

Callback (class in alpbench.util.pytorch_tabnet.callbacks) CallbackContainer (class in alpbench.util.pytorch_tabnet.callbacks) callbacks (alpbench.util.pytorch_tabnet.callbacks.CallbackContainer attribute) cat_dims (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) cat_emb_dim (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) cat_idxs (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) check_classification_targets() (in module alpbench.util.pytorch_tabnet.multiclass_utils) check_embedding_parameters() (in module alpbench.util.pytorch_tabnet.utils) check_input() (in module alpbench.util.pytorch_tabnet.utils) check_list_groups() (in module alpbench.util.pytorch_tabnet.utils) check_metrics() (in module alpbench.util.pytorch_tabnet.metrics) check_output_dim() (in module alpbench.util.pytorch_tabnet.multiclass_utils) check_unique_type() (in module alpbench.util.pytorch_tabnet.multiclass_utils) check_warm_start() (in module alpbench.util.pytorch_tabnet.utils) ClassificationSMOTE (class in alpbench.util.pytorch_tabnet.augmentations) cleanup() (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) clip_value (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) close() (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method)

ClusterMarginQueryStrategy (class in alpbench.pipeline.QueryStrategy) ComplexEncoder (class in alpbench.util.pytorch_tabnet.utils) compute_embedding() (alpbench.pipeline.QueryStrategy.EmbeddingBasedQueryStrategy method) compute_labeling_statistics() (alpbench.benchmark.Observer.StatisticalPerformanceObserver method) compute_loss() (alpbench.util.pytorch_tabnet.abstract_model.TabModel method) (alpbench.util.pytorch_tabnet.multitask.TabNetMultiTaskClassifier method) (alpbench.util.pytorch_tabnet.pretraining.TabNetPretrainer method) (alpbench.util.pytorch_tabnet.tab_model.TabNetClassifier method) (alpbench.util.pytorch_tabnet.tab_model.TabNetRegressor method) compute_model_performances() (alpbench.benchmark.Observer.StatisticalPerformanceObserver method) con (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector attribute) CoreSetQueryStrategy (class in alpbench.pipeline.QueryStrategy) create_dataloaders() (in module alpbench.util.pytorch_tabnet.pretraining_utils) (in module alpbench.util.pytorch_tabnet.utils) create_dataset_split() (in module alpbench.benchmark.ActiveLearningScenario) create_explain_matrix() (in module alpbench.util.pytorch_tabnet.utils) create_group_matrix() (in module alpbench.util.pytorch_tabnet.utils) create_sampler() (in module alpbench.util.pytorch_tabnet.utils) CustomEncoder (class in alpbench.benchmark.BenchmarkConnector)

D

data (alpbench.evaluation.analysis.plot_functions.HeatMapPlot attribute) database (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector attribute) DataFileBenchmarkConnector (class in alpbench.benchmark.BenchmarkConnector) default() (alpbench.benchmark.BenchmarkConnector.CustomEncoder method) (alpbench.util.pytorch_tabnet.utils.ComplexEncoder method)

define_device() (in module alpbench.util.pytorch_tabnet.utils) device_name (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) df (alpbench.evaluation.analysis.plot_functions.BudgetPerformancePlot attribute) DiscriminativeQueryStrategy (class in alpbench.pipeline.QueryStrategy) dump() (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method)

E

early_stopping_metric (alpbench.util.pytorch_tabnet.callbacks.EarlyStopping attribute) (alpbench.util.pytorch_tabnet.callbacks.LRSchedulerCallback attribute) EarlyStopping (class in alpbench.util.pytorch_tabnet.callbacks) EmbeddingBasedQueryStrategy (class in alpbench.pipeline.QueryStrategy) EmbeddingGenerator (class in alpbench.util.pytorch_tabnet.tab_network) Ensemble (class in alpbench.util.ensemble_constructor) ensemble_size (alpbench.pipeline.QueryStrategy.ActiveMLEnsembleQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.BALDQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.BatchBaldQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.MaxEntropyQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.MinMarginQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.PowerBALDQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.QBCVarianceRatioQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.QueryByCommitteeEntropyQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.QueryByCommitteeKLQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.QueryByCommitteeQueryStrategy attribute)

EnsemblePseudoRandomizedQueryStrategy (class in alpbench.pipeline.QueryStrategy) ensure_default_setup() (in module alpbench.evaluation.experimenter.DefaultSetup) Entmax15 (class in alpbench.util.pytorch_tabnet.sparsemax) Entmax15Function (class in alpbench.util.pytorch_tabnet.sparsemax) Entmoid15 (class in alpbench.util.pytorch_tabnet.sparsemax) EntropyQueryStrategy (class in alpbench.pipeline.QueryStrategy) EpistemicUncertaintyQueryStrategy (class in alpbench.pipeline.QueryStrategy) epsilon (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) estimator (alpbench.util.ensemble_constructor.Ensemble attribute) estimators_ (alpbench.util.ensemble_constructor.Ensemble attribute) ExpectedAveragePrecision (class in alpbench.pipeline.QueryStrategy) ExperimentRunner (class in alpbench.evaluation.experimenter.Experimenter) explain() (alpbench.util.pytorch_tabnet.abstract_model.TabModel method)

F

factor (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting attribute) FalcunQueryStrategy (class in alpbench.pipeline.QueryStrategy) FeatTransformer (class in alpbench.util.pytorch_tabnet.tab_network) filter_ids (alpbench.evaluation.analysis.plot_functions.HeatMapPlot attribute) filter_weights() (in module alpbench.util.pytorch_tabnet.utils) fit() (alpbench.pipeline.ALPEvaluator.ALPEvaluator method) (alpbench.util.ensemble_constructor.Ensemble method) (alpbench.util.pytorch_tabnet.abstract_model.TabModel method) (alpbench.util.pytorch_tabnet.pretraining.TabNetPretrainer method) format_insert_query() (in module alpbench.util.common) format_select_query() (in module alpbench.util.common) forward() (alpbench.util.pytorch_tabnet.sparsemax.Entmax15 method) (alpbench.util.pytorch_tabnet.sparsemax.Entmax15Function static method) (alpbench.util.pytorch_tabnet.sparsemax.Entmoid15 static method) (alpbench.util.pytorch_tabnet.sparsemax.Sparsemax method) (alpbench.util.pytorch_tabnet.sparsemax.SparsemaxFunction static method) (alpbench.util.pytorch_tabnet.tab_network.AttentiveTransformer method) (alpbench.util.pytorch_tabnet.tab_network.EmbeddingGenerator method) (alpbench.util.pytorch_tabnet.tab_network.FeatTransformer method) (alpbench.util.pytorch_tabnet.tab_network.GBN method) (alpbench.util.pytorch_tabnet.tab_network.GLU_Block method) (alpbench.util.pytorch_tabnet.tab_network.GLU_Layer method) (alpbench.util.pytorch_tabnet.tab_network.RandomObfuscator method) (alpbench.util.pytorch_tabnet.tab_network.TabNet method) (alpbench.util.pytorch_tabnet.tab_network.TabNetDecoder method) (alpbench.util.pytorch_tabnet.tab_network.TabNetEncoder method) (alpbench.util.pytorch_tabnet.tab_network.TabNetNoEmbeddings method) (alpbench.util.pytorch_tabnet.tab_network.TabNetPretraining method)

forward_masks() (alpbench.util.pytorch_tabnet.tab_network.TabNet method) (alpbench.util.pytorch_tabnet.tab_network.TabNetEncoder method) (alpbench.util.pytorch_tabnet.tab_network.TabNetNoEmbeddings method) (alpbench.util.pytorch_tabnet.tab_network.TabNetPretraining method) fullname() (in module alpbench.util.common)

G

gamma (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) GBN (class in alpbench.util.pytorch_tabnet.tab_network) generate_aubc_df() (alpbench.evaluation.analysis.get_results.StudyData method) generate_heatmap() (alpbench.evaluation.analysis.plot_functions.HeatMapPlot method) generate_plot_data() (alpbench.evaluation.analysis.plot_functions.BudgetPerformancePlot method) generate_summary_df() (alpbench.evaluation.analysis.get_results.StudyData method) generate_win_matrix() (alpbench.evaluation.analysis.plot_functions.WinMatrixPlot method) get_data_split() (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario method) get_dataframes() (alpbench.evaluation.analysis.get_results.StudyDataFromDatabase method) (alpbench.evaluation.analysis.get_results.StudyDataFromFile method) get_factor() (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting method) get_labeled_instances() (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario method) get_labeled_train_data() (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario method) get_metrics_by_names() (alpbench.util.pytorch_tabnet.metrics.Metric class method) get_number_of_iterations() (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting method) get_number_of_queries() (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting method) get_openml_dataset_ids() (alpbench.benchmark.BenchmarkSuite.BenchmarkSuite method) (alpbench.benchmark.BenchmarkSuite.OpenMLBenchmarkSuite method) (alpbench.benchmark.BenchmarkSuite.TabZillaBenchmarkSuite method) get_openml_id() (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario method)

get_params() (alpbench.pipeline.QueryStrategy.ActiveMLEnsembleQueryStrategy method) (alpbench.pipeline.QueryStrategy.EnsemblePseudoRandomizedQueryStrategy method) (alpbench.pipeline.QueryStrategy.PseudoRandomizedQueryStrategy method) (alpbench.pipeline.QueryStrategy.QueryStrategy method) (alpbench.pipeline.QueryStrategy.WrappedQueryStrategy method) get_scenario_id() (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario method) get_seed() (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario method) get_setting() (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario method) get_setting_id() (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting method) get_setting_labeled_train_size() (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting method) get_setting_name() (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting method) get_setting_test_size() (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting method) get_setting_train_type() (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting method) get_test_data() (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario method) (alpbench.pipeline.ALPEvaluator.ALPEvaluator method) get_test_indices() (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario method) get_unlabeled_train_data() (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario method) GLU_Block (class in alpbench.util.pytorch_tabnet.tab_network) GLU_Layer (class in alpbench.util.pytorch_tabnet.tab_network) grouped_features (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute)

H

HeatMapPlot (class in alpbench.evaluation.analysis.plot_functions)

History (class in alpbench.util.pytorch_tabnet.callbacks) host (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector attribute)

I

infer_multitask_output() (in module alpbench.util.pytorch_tabnet.multiclass_utils) infer_output_dim() (in module alpbench.util.pytorch_tabnet.multiclass_utils) init() (alpbench.util.ensemble_constructor.Ensemble method) init_budget (alpbench.pipeline.ActiveLearningPipeline.ActiveLearningPipeline attribute) initialize_glu() (in module alpbench.util.pytorch_tabnet.tab_network) initialize_non_glu() (in module alpbench.util.pytorch_tabnet.tab_network)

initializer (alpbench.pipeline.ActiveLearningPipeline.ActiveLearningPipeline attribute) Initializer (class in alpbench.pipeline.Initializer) input_dim (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) instantiate_class_by_fqn() (in module alpbench.util.common) is_batch_level (alpbench.util.pytorch_tabnet.callbacks.LRSchedulerCallback attribute) is_maximize (alpbench.util.pytorch_tabnet.callbacks.EarlyStopping attribute) is_multilabel() (in module alpbench.util.pytorch_tabnet.multiclass_utils)

K

KMeansQueryStrategy (class in alpbench.pipeline.QueryStrategy)

L

labeled_indices (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario attribute) labeling_log_tbl (alpbench.evaluation.experimenter.LogTableObserver.LogTableObserver attribute), [1] (alpbench.evaluation.experimenter.LogTableObserver.SparseLogTableObserver attribute), [1] lambda_sparse (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) learner (alpbench.pipeline.ActiveLearningPipeline.ActiveLearningPipeline attribute) (alpbench.pipeline.QueryStrategy.WrappedQueryStrategy attribute) learner_file (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector attribute), [1] learner_fqn (alpbench.util.ensemble_constructor.Ensemble attribute) learner_name (alpbench.evaluation.analysis.plot_functions.BudgetPerformancePlot attribute) (alpbench.pipeline.ALPEvaluator.ALPEvaluator attribute) learner_table (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector attribute), [1] LeastConfidentQueryStrategy (class in alpbench.pipeline.QueryStrategy) load_class_attrs() (alpbench.util.pytorch_tabnet.abstract_model.TabModel method) load_learner() (alpbench.benchmark.BenchmarkConnector.BenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method) load_learner_by_name() (alpbench.benchmark.BenchmarkConnector.BenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method) load_model() (alpbench.util.pytorch_tabnet.abstract_model.TabModel method) load_or_create_learner() (alpbench.benchmark.BenchmarkConnector.BenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method) load_or_create_query_strategy() (alpbench.benchmark.BenchmarkConnector.BenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method)

load_or_create_scenario() (alpbench.benchmark.BenchmarkConnector.BenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method) load_or_create_setting() (alpbench.benchmark.BenchmarkConnector.BenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method) load_query_strategy() (alpbench.benchmark.BenchmarkConnector.BenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method) load_query_strategy_by_name() (alpbench.benchmark.BenchmarkConnector.BenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method) load_scenario() (alpbench.benchmark.BenchmarkConnector.BenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method) load_setting() (alpbench.benchmark.BenchmarkConnector.BenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method) load_setting_by_name() (alpbench.benchmark.BenchmarkConnector.BenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector method) (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector method) load_weights_from_unsupervised() (alpbench.util.pytorch_tabnet.abstract_model.TabModel method) log_data() (alpbench.evaluation.experimenter.LogTableObserver.SparseLogTableObserver method) log_model() (alpbench.evaluation.experimenter.LogTableObserver.SparseLogTableObserver method) LogLoss (class in alpbench.util.pytorch_tabnet.metrics) LogTableObserver (class in alpbench.evaluation.experimenter.LogTableObserver) LRSchedulerCallback (class in alpbench.util.pytorch_tabnet.callbacks)

M

MAE (class in alpbench.util.pytorch_tabnet.metrics) MarginQueryStrategy (class in alpbench.pipeline.QueryStrategy) mask_type (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) max_neighbors (alpbench.util.ensemble_constructor.Ensemble attribute) MaxEntropyQueryStrategy (class in alpbench.pipeline.QueryStrategy) metric (alpbench.evaluation.analysis.plot_functions.BudgetPerformancePlot attribute) Metric (class in alpbench.util.pytorch_tabnet.metrics) metric_names (alpbench.util.pytorch_tabnet.metrics.MetricContainer attribute) (alpbench.util.pytorch_tabnet.metrics.UnsupMetricContainer attribute) MetricContainer (class in alpbench.util.pytorch_tabnet.metrics) MinMarginQueryStrategy (class in alpbench.pipeline.QueryStrategy) model_performance_tbl (alpbench.evaluation.experimenter.LogTableObserver.LogTableObserver attribute), [1] (alpbench.evaluation.experimenter.LogTableObserver.SparseLogTableObserver attribute), [1] module alpbench.benchmark alpbench.benchmark.ActiveLearningScenario alpbench.benchmark.ActiveLearningSetting alpbench.benchmark.BenchmarkConnector alpbench.benchmark.BenchmarkSuite alpbench.benchmark.Observer alpbench.evaluation alpbench.evaluation.analysis alpbench.evaluation.analysis.get_results alpbench.evaluation.analysis.plot_functions alpbench.evaluation.experimenter alpbench.evaluation.experimenter.DefaultSetup alpbench.evaluation.experimenter.Experimenter alpbench.evaluation.experimenter.LogTableObserver alpbench.pipeline alpbench.pipeline.ActiveLearningPipeline alpbench.pipeline.ALPEvaluator alpbench.pipeline.Initializer alpbench.pipeline.Oracle alpbench.pipeline.QueryStrategy alpbench.util alpbench.util.common alpbench.util.ensemble_constructor alpbench.util.pytorch_tabnet alpbench.util.pytorch_tabnet.abstract_model alpbench.util.pytorch_tabnet.augmentations alpbench.util.pytorch_tabnet.callbacks alpbench.util.pytorch_tabnet.metrics alpbench.util.pytorch_tabnet.multiclass_utils alpbench.util.pytorch_tabnet.multitask alpbench.util.pytorch_tabnet.pretraining alpbench.util.pytorch_tabnet.pretraining_utils alpbench.util.pytorch_tabnet.sparsemax alpbench.util.pytorch_tabnet.tab_model alpbench.util.pytorch_tabnet.tab_network alpbench.util.pytorch_tabnet.utils

momentum (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) MonteCarloEERLogLoss (class in alpbench.pipeline.QueryStrategy) MonteCarloEERMisclassification (class in alpbench.pipeline.QueryStrategy) MonteCarloEERStrategy (class in alpbench.pipeline.QueryStrategy) MSE (class in alpbench.util.pytorch_tabnet.metrics) MySQLBenchmarkConnector (class in alpbench.benchmark.BenchmarkConnector)

N

n_a (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) n_d (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) n_indep_decoder (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) n_independent (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) n_shared (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) n_shared_decoder (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) n_steps (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) name (alpbench.benchmark.BenchmarkSuite.BenchmarkSuite attribute) (alpbench.benchmark.BenchmarkSuite.OpenMLBenchmarkSuite attribute) (alpbench.benchmark.BenchmarkSuite.TabZillaBenchmarkSuite attribute)

num_estimators (alpbench.util.ensemble_constructor.Ensemble attribute) num_iterations (alpbench.pipeline.ActiveLearningPipeline.ActiveLearningPipeline attribute) num_queries_per_iteration (alpbench.pipeline.ActiveLearningPipeline.ActiveLearningPipeline attribute) num_seeds (alpbench.evaluation.analysis.plot_functions.BudgetPerformancePlot attribute) number_of_iterations (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting attribute) number_of_queries (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting attribute)

O

observe_data() (alpbench.benchmark.Observer.Observer method) (alpbench.benchmark.Observer.PrintObserver method) (alpbench.evaluation.experimenter.LogTableObserver.LogTableObserver method) (alpbench.evaluation.experimenter.LogTableObserver.SparseLogTableObserver method) observe_model() (alpbench.benchmark.Observer.Observer method) (alpbench.benchmark.Observer.PrintObserver method) (alpbench.evaluation.experimenter.LogTableObserver.LogTableObserver method) (alpbench.evaluation.experimenter.LogTableObserver.SparseLogTableObserver method) Observer (class in alpbench.benchmark.Observer) observer_list (alpbench.pipeline.ActiveLearningPipeline.ActiveLearningPipeline attribute) (alpbench.pipeline.ALPEvaluator.ALPEvaluator attribute) on_batch_begin() (alpbench.util.pytorch_tabnet.callbacks.Callback method) (alpbench.util.pytorch_tabnet.callbacks.CallbackContainer method) on_batch_end() (alpbench.util.pytorch_tabnet.callbacks.Callback method) (alpbench.util.pytorch_tabnet.callbacks.CallbackContainer method) (alpbench.util.pytorch_tabnet.callbacks.History method) (alpbench.util.pytorch_tabnet.callbacks.LRSchedulerCallback method) on_epoch_begin() (alpbench.util.pytorch_tabnet.callbacks.Callback method) (alpbench.util.pytorch_tabnet.callbacks.CallbackContainer method) (alpbench.util.pytorch_tabnet.callbacks.History method) on_epoch_end() (alpbench.util.pytorch_tabnet.callbacks.Callback method) (alpbench.util.pytorch_tabnet.callbacks.CallbackContainer method) (alpbench.util.pytorch_tabnet.callbacks.EarlyStopping method) (alpbench.util.pytorch_tabnet.callbacks.History method) (alpbench.util.pytorch_tabnet.callbacks.LRSchedulerCallback method)

on_train_begin() (alpbench.util.pytorch_tabnet.callbacks.Callback method) (alpbench.util.pytorch_tabnet.callbacks.CallbackContainer method) (alpbench.util.pytorch_tabnet.callbacks.History method) on_train_end() (alpbench.util.pytorch_tabnet.callbacks.Callback method) (alpbench.util.pytorch_tabnet.callbacks.CallbackContainer method) (alpbench.util.pytorch_tabnet.callbacks.EarlyStopping method) openml_benchmark_id (alpbench.benchmark.BenchmarkSuite.OpenMLBenchmarkSuite attribute) openml_dataset_ids (alpbench.benchmark.BenchmarkSuite.OpenMLBenchmarkSuite attribute) openml_id (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario attribute) (alpbench.evaluation.analysis.plot_functions.BudgetPerformancePlot attribute) (alpbench.pipeline.ALPEvaluator.ALPEvaluator attribute) OpenMLBenchmarkSuite (class in alpbench.benchmark.BenchmarkSuite) optimizer (alpbench.util.pytorch_tabnet.callbacks.LRSchedulerCallback attribute) optimizer_fn (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) optimizer_params (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) Oracle (class in alpbench.pipeline.Oracle) output_dim (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute)

P

password (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector attribute) path_to_save (alpbench.evaluation.analysis.plot_functions.BudgetPerformancePlot attribute) (alpbench.evaluation.analysis.plot_functions.HeatMapPlot attribute) patience (alpbench.util.pytorch_tabnet.callbacks.EarlyStopping attribute) plot_data (alpbench.evaluation.analysis.plot_functions.BudgetPerformancePlot attribute) PowerBALDQueryStrategy (class in alpbench.pipeline.QueryStrategy) PowerMarginQueryStrategy (class in alpbench.pipeline.QueryStrategy) precision (alpbench.benchmark.Observer.StatisticalPerformanceObserver attribute), [1] predict() (alpbench.pipeline.ActiveLearningPipeline.ActiveLearningPipeline method) (alpbench.util.ensemble_constructor.Ensemble method) (alpbench.util.pytorch_tabnet.abstract_model.TabModel method) (alpbench.util.pytorch_tabnet.multitask.TabNetMultiTaskClassifier method) (alpbench.util.pytorch_tabnet.pretraining.TabNetPretrainer method) predict_func() (alpbench.util.pytorch_tabnet.tab_model.TabNetClassifier method) (alpbench.util.pytorch_tabnet.tab_model.TabNetRegressor method)

predict_proba() (alpbench.util.ensemble_constructor.Ensemble method) (alpbench.util.pytorch_tabnet.multitask.TabNetMultiTaskClassifier method) (alpbench.util.pytorch_tabnet.tab_model.TabNetClassifier method) PredictDataset (class in alpbench.util.pytorch_tabnet.utils) prefix (alpbench.util.pytorch_tabnet.metrics.MetricContainer attribute) (alpbench.util.pytorch_tabnet.metrics.UnsupMetricContainer attribute) prepare_target() (alpbench.util.pytorch_tabnet.abstract_model.TabModel method) (alpbench.util.pytorch_tabnet.multitask.TabNetMultiTaskClassifier method) (alpbench.util.pytorch_tabnet.pretraining.TabNetPretrainer method) (alpbench.util.pytorch_tabnet.tab_model.TabNetClassifier method) (alpbench.util.pytorch_tabnet.tab_model.TabNetRegressor method) PrintObserver (class in alpbench.benchmark.Observer) PseudoRandomizedQueryStrategy (class in alpbench.pipeline.QueryStrategy)

Q

QBCVarianceRatioQueryStrategy (class in alpbench.pipeline.QueryStrategy) qs (alpbench.pipeline.Initializer.RandomInitializer attribute) (alpbench.pipeline.QueryStrategy.ActiveMLEnsembleQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.ActiveMLModelBasedQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.ActiveMLQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.MonteCarloEERStrategy attribute) (alpbench.pipeline.QueryStrategy.QueryByCommitteeQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.UncertaintyQueryStrategy attribute)

query() (alpbench.pipeline.Oracle.Oracle method) query_strategy (alpbench.pipeline.ActiveLearningPipeline.ActiveLearningPipeline attribute) query_strategy_file (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector attribute), [1] query_strategy_name (alpbench.pipeline.ALPEvaluator.ALPEvaluator attribute) query_strategy_table (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector attribute), [1] QueryByCommitteeEntropyQueryStrategy (class in alpbench.pipeline.QueryStrategy) QueryByCommitteeKLQueryStrategy (class in alpbench.pipeline.QueryStrategy) QueryByCommitteeQueryStrategy (class in alpbench.pipeline.QueryStrategy) QueryStrategy (class in alpbench.pipeline.QueryStrategy)

R

random_states (alpbench.util.ensemble_constructor.Ensemble attribute) RandomInitializer (class in alpbench.pipeline.Initializer) RandomMarginQueryStrategy (class in alpbench.pipeline.QueryStrategy) RandomObfuscator (class in alpbench.util.pytorch_tabnet.tab_network) RandomQueryStrategy (class in alpbench.pipeline.QueryStrategy)

RegressionSMOTE (class in alpbench.util.pytorch_tabnet.augmentations) RMSE (class in alpbench.util.pytorch_tabnet.metrics) RMSLE (class in alpbench.util.pytorch_tabnet.metrics) run() (in module alpbench.evaluation.experimenter.Experimenter) run_experiment() (alpbench.evaluation.experimenter.Experimenter.ExperimentRunner method)

S

sample() (alpbench.pipeline.Initializer.Initializer method) (alpbench.pipeline.Initializer.RandomInitializer method) (alpbench.pipeline.QueryStrategy.ActiveMLEnsembleQueryStrategy method) (alpbench.pipeline.QueryStrategy.ActiveMLModelBasedQueryStrategy method) (alpbench.pipeline.QueryStrategy.ActiveMLQueryStrategy method) (alpbench.pipeline.QueryStrategy.BALDQueryStrategy method) (alpbench.pipeline.QueryStrategy.ClusterMarginQueryStrategy method) (alpbench.pipeline.QueryStrategy.CoreSetQueryStrategy method) (alpbench.pipeline.QueryStrategy.DiscriminativeQueryStrategy method) (alpbench.pipeline.QueryStrategy.EmbeddingBasedQueryStrategy method) (alpbench.pipeline.QueryStrategy.EnsemblePseudoRandomizedQueryStrategy method) (alpbench.pipeline.QueryStrategy.EntropyQueryStrategy method) (alpbench.pipeline.QueryStrategy.FalcunQueryStrategy method) (alpbench.pipeline.QueryStrategy.KMeansQueryStrategy method) (alpbench.pipeline.QueryStrategy.LeastConfidentQueryStrategy method) (alpbench.pipeline.QueryStrategy.MarginQueryStrategy method) (alpbench.pipeline.QueryStrategy.MaxEntropyQueryStrategy method) (alpbench.pipeline.QueryStrategy.MinMarginQueryStrategy method) (alpbench.pipeline.QueryStrategy.PowerBALDQueryStrategy method) (alpbench.pipeline.QueryStrategy.PowerMarginQueryStrategy method) (alpbench.pipeline.QueryStrategy.PseudoRandomizedQueryStrategy method) (alpbench.pipeline.QueryStrategy.QBCVarianceRatioQueryStrategy method) (alpbench.pipeline.QueryStrategy.QueryStrategy method) (alpbench.pipeline.QueryStrategy.RandomMarginQueryStrategy method) (alpbench.pipeline.QueryStrategy.TypicalClusterQueryStrategy method) (alpbench.pipeline.QueryStrategy.WeightedClusterQueryStrategy method) (alpbench.pipeline.QueryStrategy.WrappedQueryStrategy method) save_model() (alpbench.util.pytorch_tabnet.abstract_model.TabModel method) scenario (alpbench.pipeline.ALPEvaluator.ALPEvaluator attribute) scenario_file (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector attribute), [1] scenario_id (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario attribute) scenario_table (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector attribute), [1] scheduler_fn (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) (alpbench.util.pytorch_tabnet.callbacks.LRSchedulerCallback attribute) scheduler_params (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) (alpbench.util.pytorch_tabnet.callbacks.LRSchedulerCallback attribute) seed (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario attribute) (alpbench.pipeline.ALPEvaluator.ALPEvaluator attribute) (alpbench.pipeline.QueryStrategy.ActiveMLEnsembleQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.ActiveMLModelBasedQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.ActiveMLQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.BALDQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.BatchBaldQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.ClusterMarginQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.CoreSetQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.EmbeddingBasedQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.EntropyQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.EpistemicUncertaintyQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.ExpectedAveragePrecision attribute) (alpbench.pipeline.QueryStrategy.FalcunQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.KMeansQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.LeastConfidentQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.MarginQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.MaxEntropyQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.MinMarginQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.MonteCarloEERLogLoss attribute) (alpbench.pipeline.QueryStrategy.MonteCarloEERMisclassification attribute) (alpbench.pipeline.QueryStrategy.MonteCarloEERStrategy attribute) (alpbench.pipeline.QueryStrategy.PowerBALDQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.PowerMarginQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.PseudoRandomizedQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.QBCVarianceRatioQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.QueryByCommitteeEntropyQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.QueryByCommitteeKLQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.QueryByCommitteeQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.RandomMarginQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.RandomQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.TypicalClusterQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.UncertaintyQueryStrategy attribute) (alpbench.pipeline.QueryStrategy.WeightedClusterQueryStrategy attribute) (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute)

set_data() (alpbench.pipeline.Oracle.Oracle method) set_params() (alpbench.util.pytorch_tabnet.callbacks.Callback method) (alpbench.util.pytorch_tabnet.callbacks.CallbackContainer method) set_trainer() (alpbench.util.pytorch_tabnet.callbacks.Callback method) (alpbench.util.pytorch_tabnet.callbacks.CallbackContainer method) setting (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario attribute) (alpbench.pipeline.ALPEvaluator.ALPEvaluator attribute) setting_file (alpbench.benchmark.BenchmarkConnector.DataFileBenchmarkConnector attribute), [1] setting_id (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting attribute) setting_labeled_train_size (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting attribute) setting_name (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting attribute) (alpbench.pipeline.ALPEvaluator.ALPEvaluator attribute) setting_table (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector attribute), [1] setting_test_size (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting attribute) setting_train_type (alpbench.benchmark.ActiveLearningSetting.ActiveLearningSetting attribute) show() (alpbench.evaluation.analysis.plot_functions.BudgetPerformancePlot method) (alpbench.evaluation.analysis.plot_functions.HeatMapPlot method) (alpbench.evaluation.analysis.plot_functions.WinMatrixPlot method) SparseLogTableObserver (class in alpbench.evaluation.experimenter.LogTableObserver) Sparsemax (class in alpbench.util.pytorch_tabnet.sparsemax) SparsemaxFunction (class in alpbench.util.pytorch_tabnet.sparsemax) SparsePredictDataset (class in alpbench.util.pytorch_tabnet.utils) SparseTorchDataset (class in alpbench.util.pytorch_tabnet.utils) stack_batches() (alpbench.util.pytorch_tabnet.multitask.TabNetMultiTaskClassifier method) (alpbench.util.pytorch_tabnet.pretraining.TabNetPretrainer method) (alpbench.util.pytorch_tabnet.tab_model.TabNetClassifier method) (alpbench.util.pytorch_tabnet.tab_model.TabNetRegressor method) StatisticalPerformanceObserver (class in alpbench.benchmark.Observer) StudyData (class in alpbench.evaluation.analysis.get_results) StudyDataFromDatabase (class in alpbench.evaluation.analysis.get_results) StudyDataFromFile (class in alpbench.evaluation.analysis.get_results)

T

TabModel (class in alpbench.util.pytorch_tabnet.abstract_model) TabNet (class in alpbench.util.pytorch_tabnet.tab_network) TabNetClassifier (class in alpbench.util.pytorch_tabnet.tab_model) TabNetDecoder (class in alpbench.util.pytorch_tabnet.tab_network) TabNetEncoder (class in alpbench.util.pytorch_tabnet.tab_network) TabNetMultiTaskClassifier (class in alpbench.util.pytorch_tabnet.multitask) TabNetNoEmbeddings (class in alpbench.util.pytorch_tabnet.tab_network) TabNetPretrainer (class in alpbench.util.pytorch_tabnet.pretraining) TabNetPretraining (class in alpbench.util.pytorch_tabnet.tab_network) TabNetRegressor (class in alpbench.util.pytorch_tabnet.tab_model) TabZillaBenchmarkSuite (class in alpbench.benchmark.BenchmarkSuite)

take_statistical_insignificant (alpbench.evaluation.analysis.plot_functions.HeatMapPlot attribute) test_indices (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario attribute) test_split_seed (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario attribute) (alpbench.pipeline.ALPEvaluator.ALPEvaluator attribute) tol (alpbench.util.pytorch_tabnet.callbacks.EarlyStopping attribute) TorchDataset (class in alpbench.util.pytorch_tabnet.utils) train_split_seed (alpbench.benchmark.ActiveLearningScenario.ActiveLearningScenario attribute) (alpbench.pipeline.ALPEvaluator.ALPEvaluator attribute) trainer (alpbench.util.pytorch_tabnet.callbacks.History attribute) type_of_target() (in module alpbench.util.pytorch_tabnet.multiclass_utils) TypicalClusterQueryStrategy (class in alpbench.pipeline.QueryStrategy)

U

UncertaintyQueryStrategy (class in alpbench.pipeline.QueryStrategy) unique_labels() (in module alpbench.util.pytorch_tabnet.multiclass_utils) UnsupervisedLoss() (in module alpbench.util.pytorch_tabnet.metrics) UnsupervisedLossNumpy() (in module alpbench.util.pytorch_tabnet.metrics) UnsupervisedMetric (class in alpbench.util.pytorch_tabnet.metrics) UnsupervisedNumpyMetric (class in alpbench.util.pytorch_tabnet.metrics) UnsupMetricContainer (class in alpbench.util.pytorch_tabnet.metrics)

update_fit_params() (alpbench.util.pytorch_tabnet.abstract_model.TabModel method) (alpbench.util.pytorch_tabnet.multitask.TabNetMultiTaskClassifier method) (alpbench.util.pytorch_tabnet.pretraining.TabNetPretrainer method) (alpbench.util.pytorch_tabnet.tab_model.TabNetClassifier method) (alpbench.util.pytorch_tabnet.tab_model.TabNetRegressor method) use_ssl (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector attribute) user (alpbench.benchmark.BenchmarkConnector.MySQLBenchmarkConnector attribute)

V

validate_eval_set() (in module alpbench.util.pytorch_tabnet.pretraining_utils) (in module alpbench.util.pytorch_tabnet.utils)

verbose (alpbench.util.pytorch_tabnet.abstract_model.TabModel attribute) (alpbench.util.pytorch_tabnet.callbacks.History attribute)

W

weight_updater() (alpbench.util.pytorch_tabnet.tab_model.TabNetClassifier method) WeightedClusterQueryStrategy (class in alpbench.pipeline.QueryStrategy) WinMatrixPlot (class in alpbench.evaluation.analysis.plot_functions) with_learner() (alpbench.pipeline.ALPEvaluator.ALPEvaluator method) with_observer() (alpbench.pipeline.ALPEvaluator.ALPEvaluator method) with_openml_id() (alpbench.pipeline.ALPEvaluator.ALPEvaluator method)

with_query_strategy() (alpbench.pipeline.ALPEvaluator.ALPEvaluator method) with_setting() (alpbench.pipeline.ALPEvaluator.ALPEvaluator method) with_test_split_seed() (alpbench.pipeline.ALPEvaluator.ALPEvaluator method) with_train_split_seed() (alpbench.pipeline.ALPEvaluator.ALPEvaluator method) wrapped_query_strategy (alpbench.pipeline.QueryStrategy.WrappedQueryStrategy attribute) WrappedQueryStrategy (class in alpbench.pipeline.QueryStrategy)

X

X_test (alpbench.benchmark.Observer.PrintObserver attribute) (alpbench.benchmark.Observer.StatisticalPerformanceObserver attribute)

X_u (alpbench.pipeline.Oracle.Oracle attribute)

Y

y_test (alpbench.benchmark.Observer.PrintObserver attribute) (alpbench.benchmark.Observer.StatisticalPerformanceObserver attribute)

y_u (alpbench.pipeline.Oracle.Oracle attribute)