--- title: MovieLens Dataset Transformation keywords: fastai sidebar: home_sidebar summary: "Implementation of transformation functions specific to movielens datasets." description: "Implementation of transformation functions specific to movielens datasets." nb_path: "nbs/transforms/datasets/transforms.datasets.movielens.ipynb" ---
!wget -q --show-progress https://files.grouplens.org/datasets/movielens/ml-1m.zip
!unzip ml-1m.zip
file = 'ml-1m/ratings.dat'
test_neg_num = 100
embed_dim = 64
trans_score = 1
maxlen = 200
feature_columns, train, val, test = create_ml_1m_dataset(file, trans_score, embed_dim, test_neg_num)
feature_columns
train
val
test
feature_columns, train, val, test = create_implicit_ml_1m_dataset(file, trans_score, embed_dim, maxlen)
feature_columns
train
val