d877727abf662d0545d4e69e5477e3fe33141a04,finetune/util/metrics.py,,sequence_labeling_token_counts,#Any#Any#,80

Before Change


    Return FP, FN, and TP counts
    

    unique_classes = set([seq["label"] for seqs in true + predicted for seq in seqs])

    d = {
        cls_: {
            "false_positives": [],

After Change


    Return FP, FN, and TP counts
    

    unique_classes = _get_unique_classes(true, predicted)

    d = {
        cls_: {
            "false_positives": [],
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 9

Instances


Project Name: IndicoDataSolutions/finetune
Commit Name: d877727abf662d0545d4e69e5477e3fe33141a04
Time: 2020-06-24
Author: benlt@hotmail.co.uk
File Name: finetune/util/metrics.py
Class Name:
Method Name: sequence_labeling_token_counts


Project Name: IndicoDataSolutions/finetune
Commit Name: d877727abf662d0545d4e69e5477e3fe33141a04
Time: 2020-06-24
Author: benlt@hotmail.co.uk
File Name: finetune/util/metrics.py
Class Name:
Method Name: sequence_labeling_token_confusion


Project Name: IndicoDataSolutions/finetune
Commit Name: d877727abf662d0545d4e69e5477e3fe33141a04
Time: 2020-06-24
Author: benlt@hotmail.co.uk
File Name: finetune/util/metrics.py
Class Name:
Method Name: sequence_labeling_counts