elliot.recommender.latent_factor_models.NonNegMF package¶
Submodules¶
elliot.recommender.latent_factor_models.NonNegMF.non_negative_matrix_factorization module¶
Module description:
-
class
elliot.recommender.latent_factor_models.NonNegMF.non_negative_matrix_factorization.
NonNegMF
(data, config, params, *args, **kwargs)[source]¶ Bases:
elliot.recommender.recommender_utils_mixin.RecMixin
,elliot.recommender.base_recommender_model.BaseRecommenderModel
Non-Negative Matrix Factorization
For further details, please refer to the paper
- Parameters
factors – Number of latent factors
lr – Learning rate
reg – Regularization coefficient
To include the recommendation model, add it to the config file adopting the following pattern:
models: NonNegMF: meta: save_recs: True epochs: 10 batch_size: 512 factors: 10 lr: 0.001 reg: 0.1
-
property
name
¶
elliot.recommender.latent_factor_models.NonNegMF.non_negative_matrix_factorization_model module¶
Module description:
Module contents¶
Module description: