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