tfp.distributions.quadrature_scheme_lognormal_gauss_hermite

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Use Gauss-Hermite quadrature to form quadrature on positive-reals.

loc float-like (batch of) scalar Tensor; the location parameter of the LogNormal prior.
scale float-like (batch of) scalar Tensor; the scale parameter of the LogNormal prior.
quadrature_size Python int scalar representing the number of quadrature points.
validate_args Python bool, default False. When True distribution parameters are checked for validity despite possibly degrading runtime performance. When False invalid inputs may silently render incorrect outputs.
name Python str name prefixed to Ops created by this class.

grid (Batch of) length-quadrature_size vectors representing the log_rate parameters of a Poisson.
probs (Batch of) length-quadrature_size vectors representing the weight associate with each grid value.