statistics

Describe the issue linked to the documentation

Hi.
In https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html , there's section on "Plot ROC curves for the multilabel problem". At the end, it plots roc curve as this image, https://scikit-learn.org/stable/_images/sphx_glr_plot_roc_002.png, containing table name = "...characterictics to multi-class" . So either name or the

Collection of follow-ups to #5827. These can/should be broken out into individual PRs. Many are relatively straightforward and would make a good first PR.

General

• Documentation (none was added in original PR).
• Release notes.
• Example notebook.
• Double-check how sm.tsa.arima.ARIMA works with fix_params (it should fail except when the fit method is statespace

Describe the issue linked to the documentation

In the section https://imbalanced-learn.org/stable/under_sampling.html#prototype-selection the selected subset S' should be a (strict) subset, not and element of S.

Suggest a potential alternative/fix

Change \in to \subset in doc/under_sampling.rst.

See:
gonum/gonum#845 (comment)

Are there any plans to add a Zero-Inflated Poisson (ZIP) and Zero-Inflated Negative Binomial (ZINB) to TFP? Those are usually very common distributions in other packages, and it shouldn't be hard to implement.

Since the default output is meant to be human-readable, would it make sense to add thousands separators to make the output more easily readable?