AxeldeRomblay/MLBox
MLBox is an automated machine learning Python library that handles data preprocessing, feature selection, hyperparameter optimization, and model training.
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MLBox is an AutoML library that provides distributed data preprocessing and cleaning, robust feature selection and leak detection, hyperparameter optimization in high-dimensional spaces, and state-of-the-art predictive models for classification and regression including deep learning, stacking ensembles, LightGBM, and XGBoost. It also supports model interpretation for predictions.
Frequently asked
- What is AxeldeRomblay/MLBox?
- MLBox is an automated machine learning Python library that handles data preprocessing, feature selection, hyperparameter optimization, and model training.
- Is MLBox open source?
- Yes — AxeldeRomblay/MLBox is an open-source project tracked on heatdrop.
- What language is MLBox written in?
- AxeldeRomblay/MLBox is primarily written in Python.
- How popular is MLBox?
- AxeldeRomblay/MLBox has 1.5k stars on GitHub.
- Where can I find MLBox?
- AxeldeRomblay/MLBox is on GitHub at https://github.com/AxeldeRomblay/MLBox.