Revscoring

Latest version: v2.11.13

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2.2.5

Changed
- Handles 'nazism' as an english badword.

2.2.4

Changed
- Use `--labels` in tune.

Fixed
- revscoring.features.meta.aggregators handles numpy array.

2.2.3

Changed
- Word vectors - emit a null vector on empty string.

2.2.2

Changed
- Restricts numpy and scipy requirements to higher versions and sorts requirements.txt.
- Bumps scikit-learn's requirement to 0.19.x.

2.2.1

Added
- Added intersection utility.

Changed
- Minor updates to spanish.py formatting.
- Use global vectors for better multiprocessing.
- Upgrade mwph to v0.5.x

Fixed
- Fixed a bug in `load_kv` for Word2Vec.

Removed
- Removed `english_vectors`.

2.2.0

Added
- Word2Vec features

Changed
- Major refactoring to eliminate sklearn's native multilabel classification and introduce per label binary classification.
- List of sklearn's binary classifiers are stored in Revscoring's classifier wrapper, one for each label.
- Tests modified for multilabel.

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