def test_lbfgs_regression_maxfun(X, y):
# Test lbfgs parameter max_fun.
# It should independently limit the number of iterations for lbfgs.
max_fun = 10
# regression tests
for activation in ACTIVATION_TYPES:
mlp = MLPRegressor(solver='lbfgs', hidden_layer_sizes=50, tol=0.0,
max_iter=150, max_fun=max_fun, shuffle=True,
random_state=1, activation=activation)
with pytest.warns(ConvergenceWarning):
mlp.fit(X, y)
assert max_fun >= mlp.n_iter_
mlp.max_fun = -1
with pytest.raises(ValueError):
mlp.fit(X, y)
