def test_scale():
d = load_linnerud()
X = d.data
Y = d.target
# causes X[:, -1].std() to be zero
X[:, -1] = 1.0
for clf in [pls.PLSCanonical(), pls.PLSRegression(), pls.CCA(),
pls.PLSSVD()]:
clf.set_params(scale=True)
clf.fit(X, Y)
def __init__(self, X, Y, num_dims):
self._model = pls.CCA(n_components=num_dims)
self._model.fit(X, Y)