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Update predict_ratings.py #467

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4 changes: 2 additions & 2 deletions examples/predict_ratings.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,8 +17,8 @@
algo.fit(trainset)

# we can now query for specific predicions
uid = str(196) # raw user id (as in the ratings file). They are **strings**!
iid = str(302) # raw item id (as in the ratings file). They are **strings**!
uid = trainset.to_raw_uid(196) # raw user id (as in the ratings file). They are **strings**! Do not use str() causing issues of having the same estimation for different ids.
iid = trainset.to_raw_iid(302) # raw item id (as in the ratings file). They are **strings**!

# get a prediction for specific users and items.
pred = algo.predict(uid, iid, r_ui=4, verbose=True)