Mouhcine Mendil

Hi @akshat-suwalka-dream11, Thanks for the post. I'm not able to recreate the error. I've tried with synthetic data and your code works fine (see below). Can you give me some...

Thanks @fink-stanislav for posting this issue and suggesting fixes. 1. I agree that switching to tuples would be a better option. 2. We already considered updating the `is_trained` status, but...

Hi @fink-stanislav We have fixed the issue that you reported. However, regarding your first point, switching to tuples would cause a break in the current API. Therefore, I will reopen...

With the current implementation, you can retrieve the nonconformity scores as follows: ```python ncs= cp.get_nonconformity_scores() ``` We could indeed add a feature to return the inflated quantiles. I will tag...

Hi @valeman, Puncc enables virtually any underlying learning algorithm and aggregation function for EnbPI, including neural networks (pytorch, tf ...), ensemble methods, ... as long as we correctly wrap them...

Hi @diegoglozano, Thank you for your feedback. We currently provide the method [`save`](https://deel-ai.github.io/puncc/conformalization.html#conformalization.ConformalPredictor.save) for `ConformalPredictor` serialization. However, I understand that it may not address your concern, as it still serializes...

Hi @diegoglozano, In our [latest release](https://github.com/deel-ai/puncc/releases/tag/v0.7.8), we introduced the `save_data` argument to `deel.puncc.api.conformalization.ConformalPredictor.save`. To achieve the behavior you're looking for, simply set this parameter to `False`. You can find details...

Hi @valeman, Many thanks for your detailed feedback and suggestions. I agree that tabular data is a significant use case for classification problems in industry. We will work on including...