v0.9.2

Features
Automate the versioning process in setup.py

Development
Continue migration of the frontend to Typescript

v0.9.1

Features

• Support training/inference with Apple M-series chips
• Improve transformers inference time by sorting examples
• Check for model-language compatibility
• Add a multilingual XLM-R transformer model that supports 100 languages
• Display weak labels for the current category

Bug Fixes

• Fix issues related to iteration flow following #373
• Fix scrolling issues In Safari
• Improve backdrop logic to prevent it from blinking
• Prevent the right panel from jumping back to the first page

Development

• Continue migration of the frontend to Typescript

v0.9.0

Features

• Extended language support: enable support for languages that rely on FastText representations; 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)

v0.8.6

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.

v0.8.5

• Change behavior of labeling counts to improve support for different label types
• Update dependencies to avoid installation issues in M1 MacBooks

v0.8.4

Features

• Add ability to override the configuration file 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

v0.8.3

Bug fixes

• Fix error in starting Label-Sleuth in windows when git is not properly installed

v0.8.2

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

v0.8.1

UI changes

• Unfocus text input when search is done.
• Add icons for accessing Github, Slack and Webpage.
• Decrease version font size.
• Expose shortcuts information so users are aware of them.

Performance improvements

• Positive predictions are loaded in batches instead of the whole corpus's positive predictions at once.
• Dataset is preloaded when the user enters a workspace.

Bug fixes

• Category name's whitespaces are replaced with underscore when importing labels into the workspace.
• Labeling a main element scrolls to top of the doc.
• Unexpected behavior due to shared state across tabs.

v0.8.0

• Improved performance in backend and UI
• Display the system version in the UI
• Added keyboard shortcuts for labeling using the arrow keys
• Update requirements.txt to support newer Mac hardware
• Fixed a major bug in BERT model which caused all the predictions to be positive
• Various bug fixes