Distance functions to compare vectors
ml-distance is a JavaScript library that provides a comprehensive collection of distance and similarity functions for comparing vectors. It's designed for developers working in machine learning, data analysis, and other fields that require vector comparison operations, offering both common metrics like Euclidean and Manhattan distance as well as specialized measures like Kullback-Leibler and Jensen-Shannon divergence.
How the donated funds are distributed
Kivach works on the Obyte network, and therefore you can track all donations.