Open no-clue-what-to-do opened 2 years ago
This would be a nice extra feature indeed. Since this is a lot of work, I will consider adding this to the release after the next one. The next release is almost finished and will be out soon. After that, I'll do some digging to see how the code could be refactored to support multi-target models. I'll keep you updated in this page.
Great! I would love to contribute if I can. I've been struggling for a long time to find a package that works for my DL workflow and this package is the closest I've come. Sklearn pipelines are cool but they don't handle the validation data that well, and don't have a lot of the tooling you've put in.
Hi. Now that 4.14 has been released I was looking at the features for next release. I think it's going to be a big one (probably v5.0.0) so this seems as good a moment as any to implement the multioutput support. I added a list of things that need to be done. Feel free to pick up any of them or add your own if you think I forgot one.
Code
_prepare_input
in basetransformer.py
to accept multidim yevaluate
methodget_available_models
Documentation
@no-clue-what-to-do multioutput datasets are supported sicne version 5.1.0. Read about it in the user guide.
Contribution guidelines
Description
I have a lot of project where I am trying to predict multiple targets at once. Atom has a bunch of nice features that I'd like to use, but I'm not sure its worth it if I have to build a separate model for each target dimension
Use Cases
No response
Screenshots / Mockups
No response