e-rich
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e-rich
i think this is a bug., but you can use the activelearner anyway. just don't print it
if you just want to use the closest-to-hyperplane selection with a linear SVM, you could also write yourself a query strategy like: ``` def closest_to_hyperplane_sampling(linearSVC_learner: BaseLearner, X_pool): y = linearSVC_learner.estimator.decision_function(X_pool)...
yes you are right. you do not need this step.