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Reply to MLRecommender training data error
Hello, as added to Feedback I have used normalised data with dummy ratings of 0.0 and it also didn't worked at all I have been talking with other person who had similar problems and according to this post: https://stackoverflow.com/posts/comments/110994450?noredirect=1 I have tested my dummy ratings with values bigger than 0 (used 0.1) and model was trained for the first time with ratings enabled. So data has to be: normalized (every user rates every item) dummy ratings has to be higher than 0 I've created pandas python script for data normalisation and I'm really happy to have it working Please update docs with this informations if possible so people trying to use MLRecommender has direct knowledge what they should do to make it working.
Jul ’20