(classifier, X, n_instances=1)
| 92 | # defining the custom query strategy, which uses the linear combination of |
| 93 | # classifier uncertainty and classifier margin |
| 94 | def custom_query_strategy(classifier, X, n_instances=1): |
| 95 | utility = linear_combination(classifier, X) |
| 96 | return multi_argmax(utility, n_instances=n_instances) |
| 97 | |
| 98 | custom_query_learner = ActiveLearner( |
| 99 | estimator=GaussianProcessClassifier(1.0 * RBF(1.0)), |
nothing calls this directly
no test coverage detected
searching dependent graphs…