hopsy.Mixture.compute_log_likelihood_gradient#

Mixture.compute_log_likelihood_gradient(self, x)#

deprecated:: 1.4

Use log_gradient() instead.

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

$$\mathrm{\nabla }\log f(x)=\mathrm{\nabla }\log \sum _{i=1}^n{w}_i{f}_i(x).$$

Parameters:

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

Returns:

The gradient of the (unnormalized) log-likelihood

Return type:

numpy.ndarray[n, 1]