b0d50f3cccf54888ed59292f3213bea9b2f15dcf,spotlight/factorization/implicit.py,ImplicitFactorizationModel,fit,#ImplicitFactorizationModel#,110
Before Change
if self._optimizer is None:
self._optimizer = optim.Adam(
self._net.parameters() ,
weight_decay=self._l2,
lr=self._learning_rate
)
else:
self._optimizer = self._optimizer_func(self._net.parameters())
if self._loss == "pointwise":
loss_fnc = pointwise_loss
elif self._loss == "bpr":
After Change
user_ids = interactions.user_ids.astype(np.int64)
item_ids = interactions.item_ids.astype(np.int64)
if not self._initialized:
self._initialize(interactions)
self._check_input(user_ids, item_ids)
for epoch_num in range(self._n_iter):
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 9
Instances Project Name: maciejkula/spotlight
Commit Name: b0d50f3cccf54888ed59292f3213bea9b2f15dcf
Time: 2017-07-31
Author: ethanrosenthal@gmail.com
File Name: spotlight/factorization/implicit.py
Class Name: ImplicitFactorizationModel
Method Name: fit
Project Name: maciejkula/spotlight
Commit Name: b0d50f3cccf54888ed59292f3213bea9b2f15dcf
Time: 2017-07-31
Author: ethanrosenthal@gmail.com
File Name: spotlight/factorization/explicit.py
Class Name: ExplicitFactorizationModel
Method Name: fit
Project Name: layumi/Person_reID_baseline_pytorch
Commit Name: 4888cb7a5299f7eed9214ddc70871dc05ea0f4d2
Time: 2019-03-20
Author: zdzheng12@gmail.com
File Name: model/ft_ResNet50/train.py
Class Name:
Method Name:
Project Name: maciejkula/spotlight
Commit Name: b0d50f3cccf54888ed59292f3213bea9b2f15dcf
Time: 2017-07-31
Author: ethanrosenthal@gmail.com
File Name: spotlight/factorization/implicit.py
Class Name: ImplicitFactorizationModel
Method Name: fit