» FAQ FAQ  Does LightFM have a GPU-based implementation?  No, there is no option to run training or inference on th...

» Examples » Learning-to-rank using the WARP loss Learning-to-rank using the WARP loss  LightFM is probably the only...

» Datasets Datasets  lightfm.datasets.movielens. fetch_movielens ( data_home = None , indicator_features = True , ge...

» Examples » Using different learning schedules Using different learning schedules  lightfm implements two learning ...

» Examples » Building datasets Building datasets  In this example, we’ll use LightFM’s built-in Dataset class to bui...

LightFM ========== .. autoclass:: lightfm.LightFM :members: :undoc-members:

» Module code » lightfm.evaluation Source code for lightfm.evaluation # coding=utf-8 """ Module containing evaluation...

Building datasets ========== In this example, we'll use LightFM's built-in ``Dataset`` class to build an interaction dataset from raw data. The goal is to demonstrate how to go from raw data (lists...

» Overview: module code All modules for which code is available lightfm.cross_validation lightfm.data lightfm.dataset...

Learning-to-rank using the WARP loss ========== LightFM is probably the only recommender package implementing the WARP (Weighted Approximate-Rank Pairwise) loss for implicit feedback learning-to-ra...