def test_source_competence_exponential():
exp_test = Exponential()
exp_test.n_classifiers_ = 1
exp_test.dsel_scores_ = np.array([[[0.5, 0.5], [1.0, 0.0],
[0.0, 1.0]]]).reshape(3, 1, 2)
exp_test.DSEL_target_ = [1, 1, 1]
exp_test.n_classes_ = 2
exp_test.n_samples_ = 3
C_src = exp_test.source_competence()
expected = np.array([[0.0], [-1.0], [1.0]])
assert np.allclose(C_src, expected, atol=0.01)
def test_source_competence_exponential():
exp_test = Exponential([create_base_classifier(return_value=1, return_prob=1.0)])
exp_test.dsel_scores = np.array([[0.5, 0.5], [1.0, 0.0], [0.0, 1.0]])
exp_test.DSEL_target = [1, 1, 1]
exp_test.n_classes = 2
exp_test.n_samples = 3
C_src = exp_test.source_competence()
expected = np.array([[0.0], [-1.0], [1.0]])
assert np.allclose(C_src, expected, atol=0.01)
def test_source_competence_exponential():
pool_classifiers = [
create_base_classifier(return_value=1, return_prob=1.0)
]
exp_test = Exponential(pool_classifiers=pool_classifiers)
exp_test.n_classifiers_ = len(pool_classifiers)
# 3 samples, 1 classifier, 2 classes
exp_test.dsel_scores_ = np.array([[[0.5, 0.5], [1.0, 0.0],
[0.0, 1.0]]]).reshape(3, 1, 2)
exp_test.DSEL_target_ = [1, 1, 1]
exp_test.n_classes_ = 2
exp_test.n_samples_ = 3
C_src = exp_test.source_competence()
expected = np.array([[0.0], [-1.0], [1.0]])
assert np.allclose(C_src, expected, atol=0.01)
def test_check_estimator_Exponential():
check_estimator(Exponential())