def test_dprime_undefined():
y_true = np.ones((5), dtype=bool)
y_pred = np.random.randn(y_true.size)
y_pred -= y_pred.min()
y_pred += 1.
dp_pos = dprime(y_true, y_pred)
assert dp_pos is None
dp_neg = dprime(-y_true, -y_pred)
assert dp_neg is None
def test_basic100():
rng = np.random.RandomState(42)
y_true = rng.binomial(1, 0.5, size=100)
y_pred = rng.randn(y_true.size)
dp = dprime(y_true, y_pred)
reference = -0.39852816153409176
assert abs(dp - reference) < ATOL
def test_basic100():
rng = np.random.RandomState(42)
y_true = rng.binomial(1, 0.5, size=100)
y_pred = rng.randn(y_true.size)
dp = dprime(y_true, y_pred)
reference = -0.20652941441924857
assert abs(dp - reference) < ATOL
def test_basic():
y_true = np.array([False, True, True, True, False, False, False, True])
y_pred = np.array([0.491, -0.1, 0.64, 1.52, -0.23, -0.23, 1.579, 0.76])
dp = dprime(y_true, y_pred)
reference = 0.47387910220727386
assert abs(dp - reference) < ATOL
def test_basic():
y_true = np.array([False, True, True, True, False, False, False, True])
y_pred = np.array([0.491, -0.1, 0.64, 1.52, -0.23, -0.23, 1.579, 0.76])
dp = dprime(y_true, y_pred)
reference = 0.39541092958803298
assert abs(dp - reference) < ATOL
