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ML model understanding and repair

Project description

Cobalt

Cobalt is a toolkit for illuminating and improving AI models and data.

  • Easily explore a model or dataset with a few lines of code. Cobalt readily supports text, image, and tabular datasets.

  • Automatically identify groups of data points that are problematic for your model, saving days of troubleshooting effort.

  • Use the groups discovered by Cobalt to target the most important data for retraining or fine-tuning, and create test cases to catch future regressions.

Cobalt has a powerful API and a convenient Jupyter notebook-based user interface that lets you discover things about your model and data you didn't know you didn't know.

Get Started

Create a new virtual environment and install Cobalt with pip.

pip install cobalt-ai

Then register your copy of Cobalt by opening a Python shell and running

import cobalt
cobalt.register_license()

See the setup instructions for more details.

Documentation

See the documentation at docs.cobalt.bluelightai.com.

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