We've brought the support of RNG to kmath recently and could add multik bindings and add it there transitively. Could you write your use case? And it is closer to #mathematics.
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Filipe Duarte
04/14/2021, 12:06 PM
So, I was thinking of probability Distribution such as Poisson, Exponential, Gamma, LogNormal, etc. Besides uniform and Normal, I use those distributions to generate simulations #mathematics
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altavir
04/14/2021, 12:14 PM
Well, this is exatly what have been added recently to KMath (not released yet, but will be in the next version). We've added multiplatform implementation of random generation chains. Asynchronous, synchronous single item and buffer generation. If you could add a use-case issue here: https://github.com/mipt-npm/kmath/issues, it will help to understand if we have everything you need in the next release (which should happend very soon).
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Filipe Duarte
04/15/2021, 6:26 PM
I could not understand how to use kmath. Do you have a tutorial or a hint to comprehending it?
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altavir
04/15/2021, 6:27 PM
Documentation is the sore point. The best course of actions is to create an issue with your reqirements, and I will add an example, describing it.
Thanks to @Iaroslav Postovalov documentation site is up and running: https://mipt-npm.github.io/kmath/, but without examples it is really hard to navigate