def compute_SVDNeighbourhood(): svd = SVDNeighbourhood() svd.set_data(load_data()) K=100 svd.compute(k=K, min_values=10, pre_normalize=None, mean_center=True, post_normalize=True, savefile=None) svd.save_model(os.path.join(utils.get_add_dir(), 'ratings_neigh'))
