70e4d7fe60a9658bb27b9f5fb67592a1222b2ec3,spotlight/sequence/implicit.py,ImplicitSequenceModel,fit,#ImplicitSequenceModel#Any#Any#,60
Before Change
sequences = interactions.sequences.astype(np.int64)
targets = interactions.targets.astype(np.int64)
self._num_items = interactions.num_items
if self._representation == "pooling":
After Change
else:
negative_items = sample_items(
self._num_items,
batch_sequence.size(),
random_state=self._random_state)
negative_var = Variable(
gpu(torch.from_numpy(negative_items))
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: maciejkula/spotlight
Commit Name: 70e4d7fe60a9658bb27b9f5fb67592a1222b2ec3
Time: 2017-07-06
Author: maciej.kula@gmail.com
File Name: spotlight/sequence/implicit.py
Class Name: ImplicitSequenceModel
Method Name: fit
Project Name: rusty1s/pytorch_geometric
Commit Name: 37847c77889e39143034af9fe0d4b92bc74e992a
Time: 2018-03-02
Author: matthias.fey@tu-dortmund.de
File Name: torch_geometric/datasets/utils/ply.py
Class Name:
Method Name: read_ply
Project Name: facebookresearch/Horizon
Commit Name: 2a548989f90026395d3d47ccf15ac331728c64bf
Time: 2019-06-22
Author: jjg@fb.com
File Name: ml/rl/test/gym/gym_evaluator.py
Class Name: GymEvaluator
Method Name: evaluate_reward_value