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docs/source/content/query_strategies/Acquisition-functions.rst

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Acquisition functions
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In Bayesian optimization, a so-called *acquisition funciton* is used instead of the uncertainty based utility measures of active learning. In modAL, Bayesian optimization algorithms are implemented in the ``modAL.models.BayesianOptimizer`` class. Currently, there are three available acquisition funcions: probability of improvement, expected improvement and upper confidence bound.
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In Bayesian optimization, a so-called *acquisition funciton* is used instead of the uncertainty based utility measures of active learning. In modAL, Bayesian optimization algorithms are implemented in the ``modAL.models.BayesianOptimizer`` class. Currently, there are three available acquisition functions: probability of improvement, expected improvement and upper confidence bound.
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Probability of improvement
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