Arturo Amor

Results 35 comments of Arturo Amor

I am currently working on the [Adjustment for chance in clustering performance evaluation](https://scikit-learn.org/dev/auto_examples/cluster/plot_adjusted_for_chance_measures.html#sphx-glr-auto-examples-cluster-plot-adjusted-for-chance-measures-py) example in https://github.com/scikit-learn/scikit-learn/pull/23708. It would be natural to make the modifications there. I use the default `matplotlib`...

I think our work may be complementary, as the only thing I've done so far in https://github.com/scikit-learn/scikit-learn/pull/24099 is to fix the conflicts with `main`. Feel free to fetch the last...

> @jmloyola and @ArturoAmorQ: would you be interested in reviewing this contribution? I think this can be a way to get you started with Sphinx, building the documentation and reStructured...

As this work was stalled for one year, I just opened a PR intending to carry it on.

I would add - [x] 5. Add discussion/plots on score distributions - [x] 6. Add a figure similar to [this one](https://scikit-learn.org/stable/_images/grid_search_cross_validation.png) illustrating cross-validation. Good enough for now.

My idea / proposition for points 5. and 6. Notice that the distribution plot matches the example. ![CV](https://user-images.githubusercontent.com/86408019/129196389-6b6c7411-d114-48b6-a20d-8363bdcbfd4c.png) ![plot](https://user-images.githubusercontent.com/86408019/129197716-563c2d61-ce19-4c2f-b5b8-8793bd3ac3ac.png)

If I understand correctly, #420 proposes directing the search results links towards .github.io. That might be the easiest solution in both cases. > This search tab could also be a...

Worst case scenario, concepts that are not covered in the [user guide](https://scikit-learn.org/stable/user_guide.html) could be linked to wikipedia, what do you think?

Addressed in [!72](https://gitlab.inria.fr/learninglab/mooc-scikit-learn/mooc-scikit-learn-coordination/-/merge_requests/72) (not yet merged).

> We should then present intuitively the concept of formal "significance" with overlapping score distributions of two models. Piece of code to address this ```python import pandas as pd import...