PyRelationAL

Notes

  • What is Active Learning?
  • Installation
  • Quickstart and introduction by example
  • Using your own datasets with PyRelationAL
  • Defining learning models compatible with PyRelationAL
  • Creating your own active learning strategies with PyRelationAL
  • Benchmark datasets and AL task configurations

Package modules

  • pyrelational.data_managers
  • pyrelational.datasets
  • pyrelational.model_managers
  • pyrelational.informativeness
  • pyrelational.strategies
  • pyrelational.oracles
  • pyrelational.pipeline
PyRelationAL
  • Overview: module code

All modules for which code is available

  • pyrelational.data_managers.data_manager
  • pyrelational.datasets.benchmark_datamanager
  • 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.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.expected_improvement_strategy
  • pyrelational.strategies.regression.regression_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

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