mljar/mljar-supervised
An AutoML Python package that automatically builds, tunes, and explains ML models for tabular data.
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MLJAR-supervised is an automated machine learning framework that handles the full ML pipeline including feature engineering, algorithm selection, hyperparameter optimization, and model explanation. It supports popular libraries like scikit-learn, XGBoost, LightGBM, CatBoost, and neural networks. The package produces model documentation and explanations automatically, making it suitable for both rapid prototyping and production deployment of tabular ML solutions.
Frequently asked
- What is mljar/mljar-supervised?
- An AutoML Python package that automatically builds, tunes, and explains ML models for tabular data.
- Is mljar-supervised open source?
- Yes — mljar/mljar-supervised is open source, released under the MIT license.
- What language is mljar-supervised written in?
- mljar/mljar-supervised is primarily written in Python.
- How popular is mljar-supervised?
- mljar/mljar-supervised has 3.3k stars on GitHub.
- Where can I find mljar-supervised?
- mljar/mljar-supervised is on GitHub at https://github.com/mljar/mljar-supervised.