hopsy.Mixture.log_gradient

Mixture.log_gradient(self, x)

Computes the gradient of the logarithm of the weighted sum of the probability density functions of the model components

\[\nabla \log f(x) = \nabla \log \sum_{i=1}^n w_i f_i(x).\]

Parameters:

x (numpy.ndarray[n, 1]) – Input vector

Returns:

The gradient of the (unnormalized) log_density

Return type:

numpy.ndarray[n, 1]