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