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i faced a similar challenge (and approach ;)) when fusing results of my graph pattern learner, but as it's part of a bigger thing, i rewrote many things to use scoop (instead of joblib).
hehe, nice repo...
i faced a similar challenge (and approach ;)) when fusing results of my graph pattern learner, but as it's part of a bigger thing, i rewrote many things to use scoop (instead of joblib).
Might still be worth a look for you, as it also adds standard scaling and normalizing as pipelines into the mix: https://github.com/RDFLib/graph-pattern-learner/blob/master/fusion/trained.py#L204
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