def test_validate_inputs(self):
X = np.random.random(size=(50,10))
w = np.random.random(size=(10,))
enet = ElasticNet(alpha=.5)
# Invalid Use:
# Passing in a y that is too short.
with self.assertRaises(ValueError):
yprime = np.random.random(size=(49,))
enet._validate_inputs(X, yprime)
# Invalid use:
# Passing in a y that matches the wrong dimenstion of X.
with self.assertRaises(ValueError):
yprime = np.random.random(size=(10,))
enet._validate_inputs(X, yprime)
# Valid Use:
# Passing in a y of the correct dimension.
yprime = np.random.random(size=(50,))
enet._validate_inputs(X, yprime)
def test_validate_inputs(self):
X = np.random.random(size=(50, 10))
w = np.random.random(size=(10, ))
enet = ElasticNet(alpha=.5)
# Invalid Use:
# Passing in a y that is too short.
with self.assertRaises(ValueError):
yprime = np.random.random(size=(49, ))
enet._validate_inputs(X, yprime)
# Invalid use:
# Passing in a y that matches the wrong dimenstion of X.
with self.assertRaises(ValueError):
yprime = np.random.random(size=(10, ))
enet._validate_inputs(X, yprime)
# Valid Use:
# Passing in a y of the correct dimension.
yprime = np.random.random(size=(50, ))
enet._validate_inputs(X, yprime)
