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think about: should this give out a multiplicity during prediction? Then during training, it could give just N x what it already returns, during inference the multiplicity of predictions of all models. Or we do averaging in the learnercv (less flexible?). I think we currently don't have any POs that would be compatible with option 1.
The text was updated successfully, but these errors were encountered:
think about: should this give out a multiplicity during prediction? Then during training, it could give just N x what it already returns, during inference the multiplicity of predictions of all models. Or we do averaging in the learnercv (less flexible?). I think we currently don't have any POs that would be compatible with option 1.
The text was updated successfully, but these errors were encountered: