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MetaHunt
0.1.0
Get Started
Tutorials
An introduction to MetaHunt
Preparing your data: from fitted models to F_hat
Understanding grid_weights and the L²(μ) norm
Choosing K and the denoising parameters
Conformal prediction with different choices
Scalar summaries with wrapper
When to prefer minmax_regret
Reference
Changelog
License
YEAR: 2026 COPYRIGHT HOLDER: Wenqi Shi
