Virgile Andreani
Virgile Andreani
To implement the AllDifferent constraint on an ensemble of variables stored in a `Vec`, I haven't found better than ``` rust s.assert(&vars[0].distinct(&vars[1..].iter().collect::())); ``` It feels a bit strange to single...
How would you feel about overloading Rust operators, as syntactic sugar for some of the functions in `Ast`? We can't do all of them, but at least some of the...
CMA-ES
Hello, [CMA-ES](http://cma.gforge.inria.fr/) is a powerful evolutionary algorithm for black-box optimization problems. If there is interest in adding it to this optimization suite, I would be happy to give it a...
Hello, Modular arithmetic being a common mathematical and computational concept, would it make sense to add support for it to this library? I was thinking that implementing traits such as...
This article, [available in arXiv](https://arxiv.org/abs/1311.0654) and [referenced by BASE](https://www.base-search.net/Search/Results?lookfor=Reunion+probabilities+of+N+one-dimensional+random+walkers+with+mixed+boundary+conditions&type=all&oaboost=1&ling=1&name=&newsearch=1&refid=dcbasen) does [not appear on dissemin](https://dissem.in/p/25771028/reunion-probabilities-of-n-n-one-dimensional-random-walkers-with-mixed-boundary-conditions). Possibly linked to #199? --- Want to back this issue? **[Post a bounty on it!](https://www.bountysource.com/issues/47992285-article-available-in-arxiv-and-referenced-in-base-but-not-by-dissemin?utm_campaign=plugin&utm_content=tracker%2F6475570&utm_medium=issues&utm_source=github)** We...
I don't think that there should be "too" (or "trop") in a question. Nobody wants to do something "too quickly", even if they think that it should be done quicker....
**What is this PR about?** This PR restructures the last test files to follow the structure of the code, as discussed in #5777. I think that this closes #5777. One...
This PR closes #6124 by adding an example and explanation of `pm.Deterministic`. It also repairs the plot of `pm.Interpolated` which was not working, and fixes some of the doc makefile...
## Description of your problem Hi, I can't seem to use the `Categorical` distribution with tensor probabilities. ```python import pymc3 as pm with pm.Model() as model: p = pm.Uniform('p', 0,...