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