repositoryrepositoryrepository.nirs4all.orgA public, versioned catalogue of ready-to-run nirs4all and dag-ml pipelines — preprocessing, model and evaluation packaged with provenance, validated against reference datasets, and loadable by name from Python and across the ecosystem.
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The SNV/SG/PLS baseline expressed as a dag-ml pipeline DSL (nirs4all-compatible).
Fast linear regression — polynomial detrend + SNV feeding an L2-regularised Ridge model.
Classic scatter-corrected PLS — Multiplicative Scatter Correction with a 10-component PLS regressor.