Several non-probabilistic estimators, such as SVMs in particular, can be used with uncertainty sampling. Scikit-Learn estimators that support the decision_function method can be used with the closest-to-hyperplane selection algorithm [Bloodgood]. This is actually a very popular strategy in AL research and would be very easy to implement.
Several non-probabilistic estimators, such as SVMs in particular, can be used with uncertainty sampling. Scikit-Learn estimators that support the decision_function method can be used with the closest-to-hyperplane selection algorithm [Bloodgood]. This is actually a very popular strategy in AL research and would be very easy to implement.