def inner(theta):
""" Returned closure. """
y = 0.0
g = np.zeros_like(theta)
n = len(theta)
h = np.zeros((n, n))
for (traj, choice) in traj_choices:
elts = LearningElements0(traj, theta, choice)
elts.computeValue()
y += elts.logValue
elts.computeGradientValue()
g += elts.grad_logValue
elts.computeHessianValue()
h += elts.hess_logValue
return (y, g, h)
