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XLabel is an open-source Streamlit app that takes an explainable machine-learning approach to visual-interactive data labeling. Predict the most probable labels using Explainable Boosting Machine (EBM). Show the contributions of each feature towards the predicted labels. Provide an option to write the labels directly into the data file (use XLabel.py) or save them in a separate file (use XLabelDL.py) Support data with multiple labels and multiple classes. Support data with missing values (thanks to EBM) and/or non-numeric categorical features.
Features
- Predict the most probable labels using Explainable Boosting Machine (EBM)
- Show the contributions of each feature towards the predicted labels
- Provide an option to write the labels directly into the data file (use XLabel.py) or save them in a separate file (use XLabelDL.py)
- Support data with multiple labels and multiple classes
- Support data with missing values (thanks to EBM) and/or non-numeric categorical features
- Try out the app using your own data at Hugging Face Demo
Project Samples
License
Apache License V2.0Follow XLabel
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