Index

_

__call__() (ClassificationStrategy method) (EnsembleModelManager method) (ExpectedImprovementStrategy method) (LightningModelManager method) (MCDropoutModelManager method) (ModelManager method) (RandomAcquisitionStrategy method) (RegressionStrategy method) (RelativeDistanceStrategy method) (RepresentativeSamplingStrategy method) (UpperConfidenceBoundStrategy method)

B

BenchmarkOracle (class in pyrelational.oracles.benchmark_oracle)

BreastCancerDataset (class in pyrelational.datasets.classification)

C

Checkerboard2x2Dataset (class in pyrelational.datasets.classification) Checkerboard4x4Dataset (class in pyrelational.datasets.classification) classification_bald() (in module pyrelational.informativeness.classification) classification_entropy() (in module pyrelational.informativeness.classification) classification_least_confidence() (in module pyrelational.informativeness.classification) classification_margin_confidence() (in module pyrelational.informativeness.classification) classification_ratio_confidence() (in module pyrelational.informativeness.classification)

ClassificationStrategy (class in pyrelational.strategies.classification.abstract_classification_strategy) compute_current_performance() (Pipeline method) compute_hit_ratio() (Pipeline method) compute_theoretical_performance() (Pipeline method) create_classification_cold_start() (in module pyrelational.datasets.benchmark_datamanager) create_regression_cold_start() (in module pyrelational.datasets.benchmark_datamanager) create_warm_start() (in module pyrelational.datasets.benchmark_datamanager) CreditCardDataset (class in pyrelational.datasets.classification)

D

DataManager (class in pyrelational.data_managers.data_manager) dataset_size (Pipeline property)

DiabetesDataset (class in pyrelational.datasets.regression) DigitDataset (class in pyrelational.datasets.classification)

E

EnsembleModelManager (class in pyrelational.model_managers.ensemble_model_manager)

EntropyClassificationStrategy (class in pyrelational.strategies.classification.entropy_classification_strategy) ExpectedImprovementStrategy (class in pyrelational.strategies.regression.expected_improvement_strategy)

F

FashionMNIST (class in pyrelational.datasets.classification)

G

GaussianCloudsDataset (class in pyrelational.datasets.classification) get_closest_query_to_centroids() (in module pyrelational.informativeness.task_agnostic) get_labelled_loader() (DataManager method) get_percentage_labelled() (DataManager method) get_random_query_from_cluster() (in module pyrelational.informativeness.task_agnostic) get_sample_feature_vector() (DataManager method) get_sample_feature_vectors() (DataManager method)

get_sample_labels() (DataManager method) get_test_loader() (DataManager method) get_test_set() (DataManager method) get_train_loader() (DataManager method) get_train_set() (DataManager method) get_unlabelled_loader() (DataManager method) get_validation_loader() (DataManager method) get_validation_set() (DataManager method)

I

init_trainer() (LightningModelManager method)

is_trained() (ModelManager method)

L

l_indices (Pipeline property) l_loader (Pipeline property) LeastConfidenceStrategy (class in pyrelational.strategies.classification.least_confidence_strategy) (class in pyrelational.strategies.regression.least_confidence_strategy)

LightningEnsembleModelManager (class in pyrelational.model_managers.ensemble_model_manager) LightningMCDropoutModelManager (class in pyrelational.model_managers.mcdropout_model_manager) LightningModelManager (class in pyrelational.model_managers.lightning_model_manager) log_labelled_by() (Pipeline method)

M

MarginalConfidenceStrategy (class in pyrelational.strategies.classification.marginal_confidence_strategy) MCDropoutModelManager (class in pyrelational.model_managers.mcdropout_model_manager) MeanPredictionStrategy (class in pyrelational.strategies.regression.mean_prediction_strategy) ModelManager (class in pyrelational.model_managers.abstract_model_manager) module pyrelational.data_managers.data_manager pyrelational.datasets.benchmark_datamanager pyrelational.datasets.classification pyrelational.datasets.regression pyrelational.informativeness.classification pyrelational.informativeness.regression pyrelational.informativeness.task_agnostic pyrelational.model_managers.abstract_model_manager pyrelational.model_managers.ensemble_model_manager pyrelational.model_managers.lightning_model_manager pyrelational.model_managers.mcdropout_model_manager pyrelational.oracles.abstract_oracle pyrelational.oracles.benchmark_oracle pyrelational.pipeline.pipeline pyrelational.strategies.abstract_strategy pyrelational.strategies.classification.abstract_classification_strategy pyrelational.strategies.classification.entropy_classification_strategy pyrelational.strategies.classification.least_confidence_strategy pyrelational.strategies.classification.marginal_confidence_strategy pyrelational.strategies.classification.ratio_confidence_strategy pyrelational.strategies.regression.abstract_regression_strategy pyrelational.strategies.regression.expected_improvement_strategy pyrelational.strategies.regression.least_confidence_strategy pyrelational.strategies.regression.mean_prediction_strategy pyrelational.strategies.regression.thompson_sampling_strategy pyrelational.strategies.regression.upper_confidence_bound_strategy pyrelational.strategies.task_agnostic.random_acquisition_strategy pyrelational.strategies.task_agnostic.relative_distance_strategy pyrelational.strategies.task_agnostic.representative_sampling_strategy

O

Oracle (class in pyrelational.oracles.abstract_oracle)

P

percentage_labelled (Pipeline property) pick_one_sample_per_class() (in module pyrelational.datasets.benchmark_datamanager) Pipeline (class in pyrelational.pipeline.pipeline) pyrelational.data_managers.data_manager module pyrelational.datasets.benchmark_datamanager module pyrelational.datasets.classification module pyrelational.datasets.regression module pyrelational.informativeness.classification module pyrelational.informativeness.regression module pyrelational.informativeness.task_agnostic module pyrelational.model_managers.abstract_model_manager module pyrelational.model_managers.ensemble_model_manager module pyrelational.model_managers.lightning_model_manager module pyrelational.model_managers.mcdropout_model_manager module pyrelational.oracles.abstract_oracle module pyrelational.oracles.benchmark_oracle module pyrelational.pipeline.pipeline module

pyrelational.strategies.abstract_strategy module pyrelational.strategies.classification.abstract_classification_strategy module pyrelational.strategies.classification.entropy_classification_strategy module pyrelational.strategies.classification.least_confidence_strategy module pyrelational.strategies.classification.marginal_confidence_strategy module pyrelational.strategies.classification.ratio_confidence_strategy module pyrelational.strategies.regression.abstract_regression_strategy module pyrelational.strategies.regression.expected_improvement_strategy module pyrelational.strategies.regression.least_confidence_strategy module pyrelational.strategies.regression.mean_prediction_strategy module pyrelational.strategies.regression.thompson_sampling_strategy module pyrelational.strategies.regression.upper_confidence_bound_strategy module pyrelational.strategies.task_agnostic.random_acquisition_strategy module pyrelational.strategies.task_agnostic.relative_distance_strategy module pyrelational.strategies.task_agnostic.representative_sampling_strategy module

Q

query() (Pipeline method)

query_target_value() (BenchmarkOracle method) (Oracle method)

R

RandomAcquisitionStrategy (class in pyrelational.strategies.task_agnostic.random_acquisition_strategy) RatioConfidenceStrategy (class in pyrelational.strategies.classification.ratio_confidence_strategy) regression_bald() (in module pyrelational.informativeness.regression) regression_expected_improvement() (in module pyrelational.informativeness.regression) regression_least_confidence() (in module pyrelational.informativeness.regression) regression_mean_prediction() (in module pyrelational.informativeness.regression) regression_thompson_sampling() (in module pyrelational.informativeness.regression) regression_upper_confidence_bound() (in module pyrelational.informativeness.regression)

RegressionStrategy (class in pyrelational.strategies.regression.abstract_regression_strategy) relative_distance() (in module pyrelational.informativeness.task_agnostic) RelativeDistanceStrategy (class in pyrelational.strategies.task_agnostic.relative_distance_strategy) remap_to_int() (in module pyrelational.datasets.classification) representative_sampling() (in module pyrelational.informativeness.task_agnostic) RepresentativeSamplingStrategy (class in pyrelational.strategies.task_agnostic.representative_sampling_strategy) reset() (ModelManager method) run() (Pipeline method)

S

scoring_function() (ClassificationStrategy method) (EntropyClassificationStrategy method) (LeastConfidenceStrategy method), [1] (MarginalConfidenceStrategy method) (MeanPredictionStrategy method) (RatioConfidenceStrategy method) (RegressionStrategy method) (ThompsonSamplingStrategy method) set_target_value() (DataManager method) softmax() (in module pyrelational.informativeness.classification)

step() (Pipeline method) Strategy (class in pyrelational.strategies.abstract_strategy) StriatumDataset (class in pyrelational.datasets.classification) suggest() (Strategy method) summary() (Pipeline method) SynthClass1 (class in pyrelational.datasets.classification) SynthClass2 (class in pyrelational.datasets.classification) SynthClass3 (class in pyrelational.datasets.classification) SynthReg1 (class in pyrelational.datasets.regression) SynthReg2 (class in pyrelational.datasets.regression)

T

test() (LightningEnsembleModelManager method) (LightningModelManager method) (ModelManager method) test_loader (Pipeline property) ThompsonSamplingStrategy (class in pyrelational.strategies.regression.thompson_sampling_strategy)

train() (LightningEnsembleModelManager method) (LightningModelManager method) (ModelManager method) train_and_infer() (Strategy static method) train_loader (Pipeline property)

U

u_indices (Pipeline property) u_loader (Pipeline property) UCIAirfoil (class in pyrelational.datasets.regression) UCIClassification (class in pyrelational.datasets.classification) UCIConcrete (class in pyrelational.datasets.regression) UCIEnergy (class in pyrelational.datasets.regression) UCIGlass (class in pyrelational.datasets.classification) UCIParkinsons (class in pyrelational.datasets.classification) UCIPower (class in pyrelational.datasets.regression)

UCIRegression (class in pyrelational.datasets.regression) UCISeeds (class in pyrelational.datasets.classification) UCIWine (class in pyrelational.datasets.regression) UCIYacht (class in pyrelational.datasets.regression) update_annotations() (Oracle static method) update_dataset() (Oracle method) update_target_value() (Oracle static method) update_target_values() (Oracle static method) update_train_labels() (DataManager method) UpperConfidenceBoundStrategy (class in pyrelational.strategies.regression.upper_confidence_bound_strategy)

V

valid_loader (Pipeline property)