tensorflow::ops::RandomPoisson

tensorflow::ops::RandomPoisson

#include <random_ops.h>

Outputs random values from the Poisson distribution(s) described by rate.

Summary

This op uses two algorithms, depending on rate. If rate >= 10, then the algorithm by Hormann is used to acquire samples via transformation-rejection. See http://www.sciencedirect.com/science/article/pii/0167668793909974.

Otherwise, Knuth's algorithm is used to acquire samples via multiplying uniform random variables. See Donald E. Knuth (1969). Seminumerical Algorithms. The Art of Computer Programming, Volume 2. Addison Wesley

Arguments: