Model-agnostic calibration and performance enhancement.
Project description
Caliber is a toolkit designed to enhance the calibration and overall performance of your machine learning models. It operates independently of your specific models, offering a flexible and agnostic approach. Caliber’s methods are lightweight and generally fast, making them easy to integrate as add-ons within your existing pipeline with minimal effort.
Installation
You can install caliber via
pip install caliber
The following extras are available:
Alternatively, you can build the package using Poetry.
License
This project is licensed under the Apache-2.0 License.
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