Function modAL_EER

examples/runtime_comparison.py:122–129

(X, y, n_queries)

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

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


@timeit()