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It's helpful for various reasons to have access to the individual predictions made by each tree in the ensemble, in addition to the usual average over ensemble, uncertainties, etc. that are already accessible (@gregor-robinson you have the context for this.).
It would be great to have this exposed in lolopy, perhaps through a dedicated alternative to .predict() similar to get_importance_scores().
The text was updated successfully, but these errors were encountered:
It's helpful for various reasons to have access to the individual predictions made by each tree in the ensemble, in addition to the usual average over ensemble, uncertainties, etc. that are already accessible (@gregor-robinson you have the context for this.).
It would be great to have this exposed in lolopy, perhaps through a dedicated alternative to .predict() similar to get_importance_scores().
The text was updated successfully, but these errors were encountered: