Pranav Prajapati

@rajchordia14 are you still working on this or can I take over and start working on it

fine I'll start working today

@shivance I changed the imports according to the new keras-core and ran the example, the example ran fine with pytroch as backend but when backend is set to tensorflow there's...

I should be opening the issue in keras-core repository right ?

@shivance can I make the PR for converted code sample as it works with other backends, and once the above issue is fixed it will work with tensroflow too

@yarnabrina found a way to get the best params after fit. Working on it

Here is a [notebook](https://colab.research.google.com/drive/17ktHSe_HQn5fKS6rF2buxtdIQsiVb2-p?usp=sharing) demonstrating how to get the best params in `Auto` models. The approach is little different for the two backends supported which are ray and optuna. Now...

@fkiraly this one is dependent on #6124 which implements the auto adapter for neuralforecast, once it is merged I'll make changes in this PR and get this merged

> I think your codes are same as `neuralforecast/common/_base_auto.py`? If it is same for all `Auto*` models, I think it may be better if we create another adapter specifically for...

As discussed in todays mentoring meet with @benHeid, and as mentioned here I will start working on adding support to polars scitype for the first month. Commenting this here to...