Data Science, Computer Science, Python, Probability, Machine Learning.
[]float64) []float64 { cdf := make([]float64, len(probs)) cum := 0.0 for i := range cdf { cum += probs[i] cdf[i] = cum } return cdf } With CDF of the discrete probability distribution and the random number generator, we can sample elements from the input collection by: Sample a random float between