parallel_mean#
- parallel_mean(mean_a, count_a, mean_b, count_b)[source]#
Compute the mean based on stats from two partitions of the data.
See “Parallel Algorithm” in https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance
- Parameters:
mean_a – the mean of partition a
count_a – the number of elements in partition a
mean_b – the mean of partition b
count_b – the number of elements in partition b
- Returns:
the mean of the two partitions if they were combined