def test_compose():
metrics.MAE() + metrics.MSE()
metrics.Accuracy() + metrics.LogLoss()
with pytest.raises(ValueError):
_ = metrics.MSE() + metrics.LogLoss()
with pytest.raises(ValueError):
_ = metrics.MSE() + metrics.MAE() + metrics.LogLoss()
def test_log_loss():
metric = metrics.LogLoss()
y_true = [True, False, False, True]
y_pred = [0.9, 0.1, 0.2, 0.65]
for i, (yt, yp) in enumerate(zip(y_true, y_pred)):
metric.update(yt, yp)
if i >= 1:
assert math.isclose(metric.get(), sk_metrics.log_loss(y_true[: i + 1], y_pred[: i + 1]))
metric.revert(y_true[-1], y_pred[-1])
assert math.isclose(metric.get(), sk_metrics.log_loss(y_true[:-1], y_pred[:-1]))