mangaki-zero 1.0

Mangaki's recommandation algorithms

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.