(classifier, X, n_instances=1)
| 39 | # defining the custom query strategy, which uses the linear combination of |
| 40 | # classifier uncertainty and classifier margin |
| 41 | def custom_query_strategy(classifier, X, n_instances=1): |
| 42 | utility = linear_combination(classifier, X) |
| 43 | return multi_argmax(utility, n_instances=n_instances) |
| 44 | |
| 45 | custom_query_learner = ActiveLearner( |
| 46 | estimator=GaussianProcessClassifier(1.0 * RBF(1.0)), |
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