Tim Vink

Yes!

I'm still playing with the metric to use for `tol`. Probably better to use the max absolute percentage difference from the mean. Easier to interpret: a feature category's proportion should...

> Did you create this method? I did. > Would you be able to add some links for more information? I don't have them. I would need to spend more...

Good suggestion Gilles, I will experiment with OHE + DropHighPSI also. (Indeed long time, nice to run into you here!)

I find DBML to be a really clean syntax, and the visualization over at dbdiagram.io looks sweet. I'd like to use DBML as part of our model documentation, that we...

Nice! In the meantime, I'll look into [`dmbl-renderer`](https://github.com/softwaretechnik-berlin/dbml-renderer) and see if I can integrate it into mkdocs.

I saw the reference to this issue on the mkdocs-material issue. I'm the author of `mkdocs-print-site-plugin`. The main feature of that plugin is being able to combine all markdown pages...

The reason we have `metric_uncertainty` in `probatus` is because reporting uncertainty in model performance is often overlooked. It's an important part of "validate binary classification models and the data used...

Good example: https://scikit-learn.org/stable/developers/contributing.html

You're referring to this class correct? https://github.com/ing-bank/probatus/blob/d4830112cb880565b1f474c901a8c5ea39623e96/probatus/interpret/inspector.py#L139 I agree it's an interesting approach. I'm not yet convinced it's an interesting approach from a user perspective (data scientist building a model)....