This class is an model of a general classic (machine learning) active learning algorithm. Args: estimator: The estimator to be used

This class is an abstract model of a committee-based active learning algorithm. Args: learner_list: A list of ActiveLearners forming

This class is an abstract model of a Bayesian optimizer algorithm. Args: estimator: The estimator to be used in the Bayesian optimiz

This class is an abstract model of a committee-based active learning regression. Args: learner_list: A list of ActiveLearners forming

This class is an model of a general deep active learning algorithm. Differences to the classical ActiveLearner are: - Data is no memb

Base class for query-by-committee setup. Args: learner_list: List of ActiveLearner objects to form committee. query_strategy:

Core abstraction in modAL. Args: estimator: The estimator to be used in the active learning loop. query_strategy: Function p

Mock ActiveLearner for testing.

Mock Committee for testing.

Mock classifier object for testing.

Mock utility function for testing.

Tests for the base class methods of the BaseLearner (base.py) are provided in the TestActiveLearner.