Function modAL_QBC

examples/runtime_comparison.py:108–118

(X, y, n_queries)

@timeit()
def modAL_QBC(X, y, n_queries):
    learner_list = [ActiveLearner(LogisticRegression(solver='liblinear', n_jobs=1, multi_class='ovr'),
                                  X_training=X[[0, 50, 100]], y_training=y[[0, 50, 100]]),
                    ActiveLearner(LogisticRegression(solver='liblinear', n_jobs=1, multi_class='ovr'),
                                  X_training=X[[0, 50, 100]], y_training=y[[0, 50, 100]])]

    modAL_learner = Committee(learner_list)

    for _ in range(n_queries):
        query_idx, query_inst = modAL_learner.query(X)
        modAL_learner.teach(X[query_idx], y[query_idx])


@timeit()