Mangaki's recommandation algorithms
Project description
Zero
Mangaki's recommendation algorithms.
It is tested on Python 3.6, 3.7 and 3.8 over OpenBLAS LP64 & MKL.
Usage
Most models have the following routines:
from zero.als import MangakiALS
model = MangakiALS(nb_components=10)
model.fit(X, y)
model.predict(X)
There are a couple of other methods that can be used for online fit, say model.predict_single_user(work_ids, user_parameters).
To run k-fold cross-validation, do:
python compare.py <path/to/dataset>
Results
Mangaki data
Movielens data
Feel free to use. Under GPLv3 license.
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