Comments (2)
Can you show me how to calculate the Precision too? Did you count the number of true positives then divide it by the number of all relevant items like the normal way? I tried to output your ranks tensor but I don't think I understand what it is. I would be very grateful. Thanks guys.
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Can you show me how to calculate the Precision too? Did you count the number of true positives then divide it by the number of all relevant items like the normal way? I tried to output your ranks tensor but I don't think I understand what it is. I would be very grateful. Thanks, guys.
The ranks variable is a list of different numbers, is each number the number of relevant items retrieved from the model's predictor?
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Related Issues (20)
- About training time HOT 1
- Is it possible to output the embedding of user/session and item vectors? HOT 1
- NOT RNN MODEL HOT 2
- Additional Negative Sampling: Conditional Statement Logic Error HOT 1
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- Fit function in gru4rec.py missing data sort HOT 1
- predict_next_batch not considering other products in the same session HOT 2
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- cuda error
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