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)
Italian Trulli
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