2.0 KiB
2.0 KiB
1.36.1.0
- Add "c" and "t" flags
1.36.0.0
- Add fuzzy matching for MultiLabel-F1
1.35.0.0
- Add simple "mix" ensembling
1.34.0.0
- Add filtering (f<...> op for metrics)
1.33.0.0
- Handle headers in TSV files
1.32.2.0
- Fix bug in cross-tabs
1.32.0.0
- Add option to mark worst features
1.31.0.0
- Fix validation of challenges with Bootstrap resampling
1.30.0.0
- Automatically set precision when in Bootstrap mode
1.29.0.0
- Bootstrap resampling for most metrics
1.28.0.0
- Add
s
flag for substitution
1.27.0.0
- Results are formatted in cross-tables (if possible)
1.26.0.0
- Change the meaning of WER (WER is calculated for the whole set now
- similar to the way BLEU is calculated)
- Use
Mean/WER
if you want the old meaning (average of per-item results)
1.25.0.0
- Add --oracle-item-based
1.24.0.0
- Introduce metric priorities
- Use "Cartesian" strings in metrics
1.23.0.0
- New style of train data is preferred
in.tsv
andexpected.tsv
instead oftrain.tsv
- though this is not required as sometimes training data look different than test data
--validate
option was changed accordingly
1.22.1.0
- Add "Mean/" meta-metric (for the time being working only with MultiLabel-F-measure)
- Add :S flag
1.22.0.0
- Add SegmentAccuracy
1.21.0.0
- Add Probabilistic-MultiLabel-F-measure
1.20.1.0
- Fix Soft2D-F1 metric
- Check for invalid rectangles in Soft2D-F1 metric
1.20.0.0
- Add --list-metrics options
- Add Soft2D-F1 metric.
1.19.0.0
- Fully static build
- Add preprocessing options for metrics
1.18.2.0
- During validation, check the number of columns
- During validation, check the number of lines
- Validate train files
1.18.1.0
- During validation, check whether the maximum values is obtained with the expected data
1.18.0.0
- Add --validate option
1.17.0.0
- Add Probabilistic-Soft-F-score
1.16.0.0
- Handle JSONL files (only for MultiLabel-F-score)
- Fix SMAPE metric
1.0.0.1
- Added
--version
,-v
options handling