#🔒 Recommender System Help

11 messages · Page 1 of 1 (latest)

wraith canyonBOT
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@jagged relic

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jagged relic
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....well that's unfortunate. I'm looking for help with a recommender system as an ungraded lab in the IBM Machine Learning Professional certificate course. I believe the issue is in this code, as I know that that generate_recommendations_for_one_user(enrolled_course_ids, unselected_course_ids, id_idx_dict, sim_matrix) works for an individual user.

https://paste.pythondiscord.com/4TPA

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I believe my original message was removed because I attached a Jupyter notebook

elder delta
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Can you describe what it's doing, and how that differs from what you expected?

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that code that you posted isn't complete enough for me to run, fwiw

jagged relic
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Yeah it's a whole notebook. So the error I'm getting is that all Arrays must be of the same length, and that's when I try to run:

res_dict = {}
users, courses, sim_scores = generate_recommendations_for_all()
res_dict['USER'] = users
res_dict['COURSE_ID'] = courses
res_dict['SCORE'] = sim_scores
res_df = pd.DataFrame(res_dict, columns=['USER', 'COURSE_ID', 'SCORE'])
res_df

I know that presently I am not assigning anything to the COURSE_ID array, so that error makes sense, but I don't know how to get the COURSE_IDs out of each iteration of generate_recommendations_for_one_user()

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I'm gonna get together the code from my file into a paste hang on

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That should be all of it

wraith canyonBOT
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