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Recommendation Systems Module Class: 2023 & 2024 |
Overview
- Model evaluation (
eval.py):- Regression metrics
- RMSE
- MAE
- Classification metrics
- Precision
- Recall
- F1
- Ranking metrics
- NDCG
eval.evaluatecomputes all above mentioned metrics- Evaluate Top-N recommendations
- HR
- MAP
- Regression metrics
- Content based Recommender System (
model.py) - Helper functions (
utils.py)get_top_n: Compute Top-N recommendations from predictionspredict_user_topn: Compute Top-N recommendations for a user
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1 maintainer
Metadata
1 maintainer
Release files for ieseg-recsys 0.24.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| ieseg_recsys-0.24.1.tar.gz | 7.9 kB | Details |
Release files / ieseg_recsys-0.24.1.tar.gz
| Download URL | ieseg_recsys-0.24.1.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
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twine/5.0.0 CPython/3.11.0
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