bayespy.utils.random.gamma_logpdf

bayespy.utils.random.gamma_logpdf(bx, logx, a_logx, a_logb, gammaln_a)[source]

Log-density of \mathcal{G}(x|a,b).

If you want to get the gradient, just let each parameter be a gradient of that term.

Parameters:
bx : ndarray

bx

logx : ndarray

\log(x)

a_logx : ndarray

a \log(x)

a_logb : ndarray

a \log(b)

gammaln_a : ndarray

\log\Gamma(a)