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home.rst.txt
Run tests by running ``docker-compose run lightfm py.test -x lightfm/tests/``...predictions = model.predict(test_user_ids, test_item_ids) User and item...making.lyst.com/lightfm/docs/_sources/home.rst.txtRegistered: Fri Apr 26 08:00:31 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.8K bytes - Viewed (0) -
quickstart.rst.txt
the train matrix but test it on the test matrix. .. code:: python...matrices, a training and a testing set. Both have around 1000...making.lyst.com/lightfm/docs/_sources/quickstart.rst.txtRegistered: Fri Apr 26 08:01:28 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 4.9K bytes - Viewed (0) -
Using different learning schedules — LightFM 1....
test = movielens [ 'train' ], movielens [ 'test' ] Experiment...measuring the ROC AUC on the test set at the end of each epoch....making.lyst.com/lightfm/docs/examples/learning_schedules.htmlRegistered: Fri Apr 26 07:59:30 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 18.8K bytes - Viewed (0) -
Quickstart — LightFM 1.16 documentation
the train matrix but test it on the test matrix. print ( repr...matrices, a training and a testing set. Both have around 1000...making.lyst.com/lightfm/docs/quickstart.htmlRegistered: Fri Apr 26 07:58:53 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 20.9K bytes - Viewed (0) -
Model evaluation — LightFM 1.16 documentation
test_interactions , train_interactions...fitted model to be evaluated test_interactions ( np.float32 csr_matrix...making.lyst.com/lightfm/docs/lightfm.evaluation.htmlRegistered: Fri Apr 26 07:58:30 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 23.9K bytes - Viewed (0) -
Datasets — LightFM 1.16 documentation
used for testing. Splitting into the train and test set is done...Contains training set interactions. test ( sp.coo_matrix of shape [n_users,...making.lyst.com/lightfm/docs/datasets.htmlRegistered: Fri Apr 26 07:58:50 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 13.8K bytes - Viewed (0) -
Learning-to-rank using the WARP loss — LightFM ...
test = movielens [ 'train' ], movielens [ 'test' ] Accuracy...append ( auc_score ( warp_model , test , train_interactions = train...making.lyst.com/lightfm/docs/examples/warp_loss.htmlRegistered: Fri Apr 26 07:59:48 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 24.8K bytes - Viewed (1) -
warp_loss.rst.txt
test = movielens['train'], movielens['test'] Accuracy...warp_auc.append(auc_score(warp_model, test, train_interactions=train).mean())...making.lyst.com/lightfm/docs/_sources/examples/warp_loss.rst.txtRegistered: Fri Apr 26 08:01:42 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 6.9K bytes - Viewed (0) -
lightfm.evaluation — LightFM 1.16 documentation
test_interactions , train_interactions...fitted model to be evaluated test_interactions: np.float32 csr_matrix...making.lyst.com/lightfm/docs/_modules/lightfm/evaluation.htmlRegistered: Fri Apr 26 08:00:37 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 34.9K bytes - Viewed (0) -
LightFM — LightFM 1.16 documentation
predict_rank ( test_interactions , train_interactions...lightfm.LightFM class. Parameters test_interactions ( np.float32 csr_matrix...making.lyst.com/lightfm/docs/lightfm.htmlRegistered: Fri Apr 26 07:58:33 UTC 2024 - Last Modified: Wed Mar 09 16:56:08 UTC 2022 - 41.5K bytes - Viewed (0)