Label-sleuth

Latest version: v0.20.2

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0.9.0

Not secure
Features

- Extended language support: enable support for languages that rely on [FastText representations](https://fasttext.cc/docs/en/crawl-vectors.html); add support for Hebrew.
- Model support: add Naive Bayes model policies; facilitate adding new transformer-based classifiers.
- Performance improvements for the label import functionality.
- Collecting the set of examples for training now happens in a background thread.
- It is now possible to define _active learning policies_, i.e. a predefined policy for dynamically determining which active learning strategy should be used.

Development
- Initiated migration of the frontend to Typescript (205)

0.8.6

Not secure
What's Changed
* Sidebar elements are no longer scrolled into view when clicked.
* The system version is displayed on the bottom-left corner of the menu page.

Bug fixes
* Dashes are replaced in imported document ids.
* Invalid regex in search no longer makes the UI to crash.

0.8.5

Not secure
- Change behavior of labeling counts to improve support for different label types
- Update dependencies to avoid installation issues in M1 MacBooks

0.8.4

Not secure
**Features**
- Add ability to override the [configuration file](https://github.com/label-sleuth/label-sleuth#system-configuration) using a command line argument with the relevant parameter name (e.g., changing language using `--language ITALIANO`)
- Add Romanian support

**Bug fixes**
- Return only standard labels in the document view (without weak labels)
- Determine label counts according to the label types used in `training_set_selector`

0.8.3

Not secure
**Bug fixes**
- Fix error in starting Label-Sleuth in windows when git is not properly installed

0.8.2

Not secure
**Features**
- Support import of weakly labeled data using `Weak` in `label_type` column
- Add training set selectors which use weakly labeled data

**UI changes**
- Avoid scrolling into an element when labeling it
- Improve notification of internal server errors (500 errors)

**Bug fixes**
- Fix get model predictions endpoint
- Fix element ids not properly converted into document ids when sending to the frontend

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