cod3licious / autofeat
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Automated Feature Generation and Selection. Automates the process of generating and selecting features for linear models for improved performance.
- Improved Performance and Interpretability. The generated features improve prediction accuracy while retaining the intuitive interpretability of linear models.
- Seamless Integration. Fully compatible with scikit-learn pipelines, making it easy to integrate into your existing machine learning workflows.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 546
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 69% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 86% closed
- 5 still open
- Pull requests
- 8 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 69%
- Jupyter Notebook 31%
Topics
- machine-learning
- machine-learning-models
- linear-regression
- feature-engineering
- feature-selection
- automl
- automated-machine-learning
- automated-feature-engineering
- automated-data-science
Project record
- JobOther AI tools
- StatusListed
- Commits80
- Forks68
- Watching18
- Stars in 28 days0
- CreatedJan 22, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026