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This is something I plan to implement in the future, if people find it useful. Grouping estimators and displaying each group with a different color. This can be used to indicate, for example, which of the methods being compared is the proposed method of a study, or to highlight main baseline estimators. Example:
An idea would be to have hue
and hue_order
parameters in the critical_difference_diagram
function, the first being a Series
or dict
with same index/keys as the ranks
parameter that assigns a group label to each estimator, and hue_order
being an iterable with the group names, determining in which order should they be picked to assign a color (inspired by seaborn
functionality).
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