2019-08-10 16:31:54 +02:00
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2020-08-08 21:52:03 +02:00
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## 1.37.0.0
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New features:
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* Add --select-metric to select metric(s) by name (useful when you
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have a complicated configuration with a large number of metrics,
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and you want to see the result only for a specific metric, especially
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in --line-by-line or --worst-features more)
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* Add --show-preprocessed so that in --line-by-line or similar modes you
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will be shown the results after the proprocessing
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* --validate checks whether at least one metric is of priority 1
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Bug fixes:
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* Fix handling MultiLabel-F1 in --line-by-line mode when used with flags
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2020-08-01 21:46:59 +02:00
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## 1.36.1.0
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* Add "c" and "t" flags
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2020-07-02 18:38:20 +02:00
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## 1.36.0.0
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* Add fuzzy matching for MultiLabel-F1
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2020-05-20 11:56:37 +02:00
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## 1.35.0.0
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* Add simple "mix" ensembling
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2020-05-13 15:39:36 +02:00
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## 1.34.0.0
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* Add filtering (f<...> op for metrics)
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2020-02-22 13:21:52 +01:00
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## 1.33.0.0
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* Handle headers in TSV files
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2020-02-11 09:38:12 +01:00
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## 1.32.2.0
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* Fix bug in cross-tabs
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2020-01-31 09:50:26 +01:00
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## 1.32.0.0
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* Add option to mark worst features
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2020-01-28 22:41:48 +01:00
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## 1.31.0.0
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* Fix validation of challenges with Bootstrap resampling
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2020-01-28 21:42:54 +01:00
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## 1.30.0.0
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* Automatically set precision when in Bootstrap mode
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2020-01-27 22:53:15 +01:00
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## 1.29.0.0
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* Bootstrap resampling for most metrics
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2020-01-11 17:03:57 +01:00
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## 1.28.0.0
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* Add `s` flag for substitution
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2020-01-04 22:01:56 +01:00
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## 1.27.0.0
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* Results are formatted in cross-tables (if possible)
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2019-12-21 16:05:51 +01:00
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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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2019-12-16 12:49:18 +01:00
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## 1.25.0.0
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* Add --oracle-item-based
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2019-12-14 21:12:46 +01:00
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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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2019-12-13 20:38:08 +01:00
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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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2019-11-25 21:35:22 +01:00
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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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2019-11-18 21:53:40 +01:00
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## 1.22.0.0
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* Add SegmentAccuracy
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2019-09-07 15:55:36 +02:00
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## 1.21.0.0
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* Add Probabilistic-MultiLabel-F-measure
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2019-09-03 17:21:27 +02:00
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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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2019-08-22 17:09:58 +02:00
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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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2019-08-20 07:55:22 +02:00
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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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2019-08-10 16:31:54 +02:00
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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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2019-08-10 12:30:17 +02:00
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## 1.18.0.0
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* Add --validate option
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2019-03-12 22:41:57 +01:00
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## 1.17.0.0
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* Add Probabilistic-Soft-F-score
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2019-02-14 20:41:18 +01:00
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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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2018-06-13 12:19:06 +02:00
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## 1.0.0.1
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2019-02-14 20:41:18 +01:00
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* Added `--version`, `-v` options handling
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