LinearBoost / linearboost-classifier
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.
Why this job: works in the areas we cover, but does not say which job it does
What it does
LinearBoost is a boosting classifier built on the linear classifier SEFR: it trains SEFR classifiers in sequence with AdaBoost-style sample reweighting (SAMME or SAMME.R), optionally on kernel features. Training and prediction are fast, and memory use is low.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 19 days ago
- Stars
- 230
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 66% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 23 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Jupyter Notebook 66%
- Python 34%
Topics
- boosting-algorithms
- classification
- custom-classifiers
- ensemble-learning
- linear-models
- machine-learning
Project record
- JobOther AI tools
- StatusListed
- Commits214
- Forks21
- Watching8
- Stars in 28 days+1
- CreatedMay 16, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026