Comments (2)
vascosmota
commented on July 19, 2024
A solution could be allowing to set a behaviour when items not present on the catalog are seen. Either ignore them (and do not count them for the coverage measure) or throw an exception when these items are present.
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nikosT
commented on July 19, 2024
Why the code uses random.choices for? Shouldn't just count existing input elements?
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Related Issues (20)
- ImportError: cannot import name 'signature' HOT 8
- Slows down even if x_labels=False
- module 'recmetrics' has no attribute 'prediction_coverage' HOT 2
- ImportError: cannot import name 'signature'
- Metric: familiarity HOT 1
- Unable to import recmetrics HOT 3
- Cross-referencing other libraries HOT 3
- Is this library actively maintained HOT 1
- Unused Requirement HOT 2
- Installation issues HOT 7
- Personalization metric calculation optimization HOT 1
- personalization() has explosive memory requirements due to pairwise comparison HOT 3
- Integration with Deep Learning Based Frameworks
- Catalog coverage is changed when using the exact same input arguments
- Implement MAP@k HOT 4
- dev dependencies breaking installation
- module 'recmetrics' has no attribute 'mapk'
- any method for AP@k or AP@K calculation? HOT 1
- mapk shouldn't require actual and predicted have the same length HOT 1
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