ML model understanding and repair
Project description
Cobalt
Cobalt is a toolkit for illuminating and improving AI models and data.
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Easily explore a model or dataset with a few lines of code. Cobalt readily supports text, image, and tabular datasets.
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Automatically identify groups of data points that are problematic for your model, saving days of troubleshooting effort.
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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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