def test_precision():
y_true = np.array([True, True, False])
y_score = np.array([1, 0, .5])
assert precision(y_true, y_score, 2) == .5
def test_precision():
y_true = np.array([True, True, False])
y_score = np.array([1, 0, .5])
assert precision(y_true, y_score,2) == .5
def test_precision_nan():
y_true = np.array([True, False, np.nan])
y_score = np.array([1, 0, .5])
p = precision(y_true, y_score, None, return_bounds=True)
assert p == (.5, 2, (1.0 / 3, 2.0 / 3))
def test_precision_nan():
y_true = np.array([True, False, np.nan])
y_score = np.array([1, 0, .5])
p = precision(y_true, y_score,None, return_bounds=True)
assert p == (.5, 2, (1.0/3, 2.0/3))
