hopsy.Rosenbrock.compute_log_likelihood_gradient#
- Rosenbrock.compute_log_likelihood_gradient(self, x)#
- deprecated:: 1.4
Use
log_gradient()instead.
- Parameters:
x (numpy.ndarray[float64[2n,1]]) – Input vector
- Returns:
The gradient of the (unnormalized) log-likelihood
- Return type:
numpy.ndarray[float64[2n,1]]