Olivier Labayle

@ablaom Thanks for getting back at me so quickly. I am working in causality, which means that my scenario differs from the traditional MLJ framework in the following ways: -...

@ablaom That's great, very happy to hear that, thanks a lot!

Yes I understand and I wasn't planning on having a dedicated MLJ structure for this. As you say, I will be hacking a bit, for now it's a mode with...

@ablaom Thank you for managing to do this feature!

@ablaom @jpsamaroo Thanks for your instructive replies! You seem to make a distinction between the multithreaded and the distributed version. From the README, I had the impression that Dagger actually...

I have been playing around a bit with Dagger.jl today, I think the following represents some kind of proof of concept that in theory it could work! The main caveat...

@ablaom I think this is ready for review if you have some time to dedicate to it. As an additional demonstration of the benefits of this PR, you'll see [on...

@ablaom Thank you for getting back to me. Indeed there are many connecting topics that I am currently trying to address. The two most important ones are memory management and...

@ablaom Thanks for taking the time to look into this! - That's definitely true. My original idea was that composition with learning networks is about composing machines not models. If...

@ablaom I understand your concern, I did not appreciate there was such an emphasis on the `fit(model, verbosity, X, y)` API and rather thought about it as an implementation detail...