Hi NVIDIA Team,

To make this project successful, I would like to suggest to add few things. I would love to assist on this.

1. Complete technical installation steps to add more values
2. Details of all pre-requisites, to build this project successfully.
3. Overall technical background, design and architecture. Just like we provide a technical guide and documentation for other software engine

Link

https://github.com/tucan9389/MLProblem-MLFramework-for-iOS-template-project

For example,
in ELFI tutorial...
We should specify observed data like below:

Y = elfi.Simulator(MA2, t1, t2, observed=y_obs)

for calculating a discrepancy like:

d = elfi.Distance('euclidean', S1, S2)

What I wonder is,
without explicitly passing 'observed' argument to the Simulator object,
can we make it possible to do ABC-rejection by modifying discrepancy function?
e.g. inste

Release 1.0.7 broke the specialised matchers that are still documented here https://h2non.github.io/filetype.py/v1.0.0/match.m.html

One could make the argument that these functions are internal API since they're not officially documented in the examples, so it's ok to break them without even a minor version bump.

However, given the usefulness of these functions (e.g. for scenarios in which o

Since the time this was written, I've come up with slightly more clear installation instructions for installing from github. The instructions for Nostril should be updated.

The problem: The code prints lots of info to standard out. Some users might want more or less info, or different info.

Suggested solution: Provide a flag for verbose or quite output. The default can be the existing setup, or whatever is deemed optimal.