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v0.1.0 (21/10/2024) - Initial Release

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@harrisp harrisp released this 21 Oct 08:59
· 12 commits to master since this release
98188f9

🎉 Welcome to the first release of GPyConform! GPyConform extends the GPyTorch library by implementing (Full) Conformal Prediction for Gaussian Process Regression.

Features

  • Provably Valid Prediction Intervals: Provides Prediction Intervals with guaranteed coverage under minimal assumptions (data exchangeability).
  • Full Utilization of GPyTorch: Leverages the robust and efficient GP modeling capabilities of GPyTorch.
  • Supports Both Symmetric and Asymmetric Prediction Intervals: Implements both the symmetric and asymmetric Full Conformal Prediction approaches for constructing Prediction Intervals.