f4beaac559e00a3676d942dc7e8fea69efc01cfe,catalyst/metrics/hitrate.py,,hitrate,#Any#Any#Any#,8
Before Change
k = min(outputs.size(1), k)
_, indices_for_sort = outputs.sort(descending=True, dim=-1)
true_sorted_by_preds = torch.gather(
targets, dim=-1, index=indices_for_sort
)
true_sorted_by_pred_shrink = true_sorted_by_preds[:, :k]
hits = torch.sum(true_sorted_by_pred_shrink, dim=1) / k
return hits
__all__ = ["hitrate"]
After Change
hitrate_at_k (List[torch.Tensor]):
the hit rate score
results = []
targets_sort_by_outputs = process_recsys_components(outputs, targets)
for k in topk:
k = min(outputs.size(1), k)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances Project Name: catalyst-team/catalyst
Commit Name: f4beaac559e00a3676d942dc7e8fea69efc01cfe
Time: 2020-11-30
Author: raveforlive@gmail.com
File Name: catalyst/metrics/hitrate.py
Class Name:
Method Name: hitrate
Project Name: ixaxaar/pytorch-dnc
Commit Name: a6667bf98c59a7447a6bc55869459e83f5bdb603
Time: 2017-12-07
Author: root@ixaxaar.in
File Name: dnc/sparse_memory.py
Class Name: SparseMemory
Method Name: read_from_sparse_memory