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recommender improvements: base random_recommendation method #178

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lacava opened this issue Apr 25, 2019 · 0 comments

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lacava commented Apr 25, 2019

it would be nice to have a base method that generates a random ml + p recommendation with options:

with or without uniformly sampling the ML options, and
filtering based on trained_dataset_models

now that trained_dataset_models is centralized this should be doable.

this method could be used by recommenders if the n_recs is below the desired number due to repeat recommendations.

lacava added the enhancement label

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