A Python Library For Calibrated Modeling Built With PyTorch
Project description
SOTAI
A Library For Interpretable Machine Learning. This library is a PyTorch implementation of modeling techniques found in Monotonic Calibrated Interpolated Look-Up Tables.
Installing the package:
pip install sotai
Importing the package:
import sotai
SDK Documentation
You can find documentation for this SDK at https://docs.sotai.ai/v/sdk-ref or in the repo docs folder.
Web Client User Documentation
You can find documentation for how to use the hosted web client at https://docs.sotai.ai/
Contribution Guidelines
See the guide on contributing for full details on how to contribute to the library. For any feature and/or bug requests, visit our Issues.
Examples
For detailed examples on how to use the library, see examples.
License
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