def test_compute_score_pearson_and_spearman(self,
pearson_and_spearman_mock):
"Mean of Pearson's and Spearman's Correlation Coefficient"
y = [1 for _ in range(50)]
score = metrics.compute_score(y, y, "pearson_and_spearman")
pearson_and_spearman_mock.assert_called_once()
def test_compute_score_matthews_corrcoef(self, matthews_corrcoef_mock):
"Matthew's Correlation Coefficient"
y = [1 for _ in range(50)]
score = metrics.compute_score(y, y, "matthews_corrcoef")
matthews_corrcoef_mock.assert_called_once()
def test_compute_score_spearman(self, spearman_mock):
"Spearman's Correlation Coefficient"
y = [1 for _ in range(50)]
score = metrics.compute_score(y, y, "spearman")
spearman_mock.assert_called_once()
def test_compute_score_accuracy_and_f1(self, accuracy_and_f1_mock):
"Mean of Accuracy and F1"
y = [1 for _ in range(50)]
score = metrics.compute_score(y, y, "accuracy_and_f1")
accuracy_and_f1_mock.assert_called_once()
def test_compute_score_f1(self, f1_mock):
"F1"
y = [1 for _ in range(50)]
score = metrics.compute_score(y, y, "f1")
f1_mock.assert_called_once()
def test_compute_score_accuracy(self, accuracy_mock):
"Accuracy"
y = [1 for _ in range(50)]
score = metrics.compute_score(y, y, "accuracy")
accuracy_mock.assert_called_once()