conformal_classification

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

artificial-intelligence

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35 Forks

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Jupyter Notebook Language

mit License

Cost to Build

$23.1K

Market Value

$57.2K

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2025-03-01

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What is the aangelopoulos/conformal_classification GitHub project? Description: "Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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