schema_version: 1
id: snv_savgol_pls
name: SNV · Savitzky–Golay · PLS
summary: Robust NIRS regression baseline — SNV scatter correction, first-derivative SG smoothing, 12-component PLS.
description: |
  A dependable regression baseline for continuous NIRS targets. Standard Normal Variate
  removes multiplicative scatter, a first-derivative Savitzky–Golay filter sharpens
  absorption features and removes baseline drift, and a 12-component PLS regressor models
  the response. Cross-validated with a 5-split shuffle.
framework: nirs4all
kind: recipe
task: regression
tags: [pls, snv, savitzky_golay, baseline, preprocessing]
version: "1.0.0"
license: CeCILL-2.1 OR AGPL-3.0-or-later
created_at: "2026-06-17"
authors:
  - name: Gregory Beurier
    email: gregory.beurier@cirad.fr
    affiliation: CIRAD
recipe:
  format: nirs4all/pipeline-config
  path: pipeline.json
reference:
  source: nirs4all-datasets
  name: regression_demo
evaluation:
  metric: rmse
  task: regression
  expected:
    val: { value: 0.120, tol: 0.03 }
    test: { value: 0.150, tol: 0.04 }
  nirs4all_version: ">=0.10,<0.11"
  status: unvalidated
provenance:
  generated_by: nirs4all 0.10.2
  source: nirs4all/examples/pipeline_samples
governance:
  status: draft
  visibility: public
  trust: official