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EDIT: This issue is for organizing the API section (e.g. separating the weakly supervised algorithms and the supervised algorithms) (see comment below)
The text was updated successfully, but these errors were encountered:
I was thinking that the generic class methods could also be briefly demonstrated in the user guide. Maybe for each part (supervised/weakly sup), we could have a first subsection called something like "General API" which explains input data to give to fit as done currently, as well as the transformer_ attribute and methods like metric, score_pairs and transform. Then the second subsection "Algorithms".
But I also agree that the Package overview section could be better structured
See comment #145 (comment)
EDIT: This issue is for organizing the API section (e.g. separating the weakly supervised algorithms and the supervised algorithms) (see comment below)
The text was updated successfully, but these errors were encountered: