Mateusz Sluszniak
Mateusz Sluszniak
Sure, that is really strange behaviour and not supposed to happen, so feel free to work on it. I'll appreciate that :)
I think that we may try the second direction, and if it will introduce some breaking changes to `RidgeRegression` then we will fix it.
> @msluszniak Just to check - are you maybe working on this? No, I don't. Currently, I will work on a notebook that will present the implemented methods ;)
It's great to have you in Scholar team! :smiley:
Yes, I agree that after moving the binarizer into a separate module we'll be able to delete `Scholar.Preprocessing`
We might make a more general struct `Preprocessing` with two fields `operation` and `data`. For practical purposes, all functions will have `fit` and `predict` parts. Then using `predict`, based on...
> I'd like to contribute to this project. I will start working on a PR for "Discounted Cumulative Gain (DCG)" Really cool! Feel free to go :)
We added all metrics, thank all of you who contributed ❤️
As an update I upload the code that generates the issue. Below are all version of libraries: ``` Collecting environment information... PyTorch version: 2.6.0.dev20241007 Is debug build: False CUDA used...
Great! Thank you much for your help 😁