def test_share_inputs():
from EvoDAG import EvoDAG
y = cl.copy()
gp = EvoDAG(classifier=True,
multiple_outputs=True,
popsize=5,
share_inputs=True)
gp.fit(X, y)
assert gp._share_inputs
def test_model_nvar():
from EvoDAG import EvoDAG
y = cl.copy()
gp = EvoDAG(classifier=True,
multiple_outputs=True,
popsize=5,
share_inputs=True)
gp.fit(X, y)
assert gp._share_inputs
m = gp.model()
print(X.shape)
assert m.nvar == X.shape[1]
try:
m.predict(X[:, :3])
assert False
except RuntimeError:
pass
