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

XLabel Screenshot 1

Project Activity

See All Activity >

License

Apache License V2.0

Follow XLabel

XLabel Web Site

Other Useful Business Software
$300 Free Credits to Build on Google Cloud Icon
$300 Free Credits to Build on Google Cloud

New customers can spin up VMs, build with AI, and query data at no cost.

Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of XLabel!

Additional Project Details

Programming Language

Python

Registered

2023-05-23
Report inappropriate content