def test_validate_box_constraints(self):
X = np.random.random(size=(50,10))
w = np.random.random(size=(10,))
y = np.dot(X, w)
enet = ElasticNet(alpha=.5)
# Invalid use
# Second dimension matches incorrect dimension of X.
with self.assertRaises(ValueError):
box_const = np.empty(shape=(2,50))
enet._validate_box_constraints(X, y, box_constraints=box_const)
# Invalid use
# Incorrect first dimension.
with self.assertRaises(ValueError):
box_const = np.empty(shape=(1,10))
enet._validate_box_constraints(X, y, box_constraints=box_const)
# Invalid use
# Transpose of a correct use.
with self.assertRaises(ValueError):
box_const = np.empty(shape=(10,2))
enet._validate_box_constraints(X, y, box_constraints=box_const)
# Invalid use
# Positive lower bound in constraint.
with self.assertRaises(ValueError):
box_const = np.empty(shape=(2,10))
box_const[0,:] = -1; box_const[1,:] = 1
box_const[0,5] = 1
enet._validate_box_constraints(X, y, box_constraints=box_const)
# Invalid use
# Negative upper bound in constraint.
with self.assertRaises(ValueError):
box_const = np.empty(shape=(2,10))
box_const[0,:] = -1; box_const[1,:] = 1
box_const[1,5] = -1
enet._validate_box_constraints(X, y, box_constraints=box_const)
# Valid use
# Impose some box constraints.
box_const = np.empty(shape=(2,10))
box_const[0,:] = -1; box_const[1,:] = 1
enet._validate_box_constraints(X, y, box_constraints=box_const)
def test_validate_box_constraints(self):
X = np.random.random(size=(50, 10))
w = np.random.random(size=(10, ))
y = np.dot(X, w)
enet = ElasticNet(alpha=.5)
# Invalid use
# Second dimension matches incorrect dimension of X.
with self.assertRaises(ValueError):
box_const = np.empty(shape=(2, 50))
enet._validate_box_constraints(X, y, box_constraints=box_const)
# Invalid use
# Incorrect first dimension.
with self.assertRaises(ValueError):
box_const = np.empty(shape=(1, 10))
enet._validate_box_constraints(X, y, box_constraints=box_const)
# Invalid use
# Transpose of a correct use.
with self.assertRaises(ValueError):
box_const = np.empty(shape=(10, 2))
enet._validate_box_constraints(X, y, box_constraints=box_const)
# Invalid use
# Positive lower bound in constraint.
with self.assertRaises(ValueError):
box_const = np.empty(shape=(2, 10))
box_const[0, :] = -1
box_const[1, :] = 1
box_const[0, 5] = 1
enet._validate_box_constraints(X, y, box_constraints=box_const)
# Invalid use
# Negative upper bound in constraint.
with self.assertRaises(ValueError):
box_const = np.empty(shape=(2, 10))
box_const[0, :] = -1
box_const[1, :] = 1
box_const[1, 5] = -1
enet._validate_box_constraints(X, y, box_constraints=box_const)
# Valid use
# Impose some box constraints.
box_const = np.empty(shape=(2, 10))
box_const[0, :] = -1
box_const[1, :] = 1
enet._validate_box_constraints(X, y, box_constraints=box_const)
