hopsy.Mixture.log_density#
- Mixture.log_density(self, x)#
Computes the log probability density of the model components
\[\log f(x) = \log \sum_{i=1}^n w_i f_i(x).\]- Parameters:
x (numpy.ndarray[n, 1]) – Input vector
- Returns:
The (unnormalized) log_density
- Return type:
float