pp_modpoly — Mod Poly

Group: Baseline correction · Binding: n4m.sklearn.ModPoly · C ABI: n4m_pp_modpoly_*

Description

Modified polynomial baseline correction.

Parameters

Name

Type

Default

polyorder

int

2

max_iter

int

250

tol

float

0.001

Explanations

Bibliographic source

Standard spectroscopic operator — see the nirs4all preprocessing / augmentation handbook and the cited literature within the binding docstring.

Mathematical principle

Modified polynomial baseline correction.

Implementation

C ABI n4m_pp_modpoly_* in libn4m (create / apply / destroy lifecycle), wrapped by n4m.sklearn.ModPoly. The same numerical kernel backs every language binding.

Usage

from n4m.sklearn import ModPoly
op = ModPoly()
X_transformed = op.fit_transform(X)

Benchmarks

Adaptive wall-clock per cell measured against full_matrix.csv. Only backends that implement this method are listed; libraries without the method are omitted.

Verdict  ·  ✓ ref / ≈ ref / ~ shape mark a reference-gate pass at strict / relaxed / qualitative tolerance  ·  ✓ bind = pls4all binding agrees with the C++ baseline  ·  ⇄ cross-check = documented by-design selector/RNG/model, noncanonical API/facade convention, or secondary oracle  ·  ✗ divergent  ·  ⚠ error  ·  — not run. The fastest backend per column is marked 🏆.

Reference gate: strict — numeric equivalence (rmse_rel_tol 1e-12).

BackendParity50×250 (ms)250×50 (ms)
C++ native · libn4m
pls4all.cpp.blas✓ ref
pls4all.cpp.blas+omp✓ ref5.30 ms5.54 ms
pls4all.cpp.omp✓ ref
pls4all.cpp.ref✓ ref5.12 ms4.81 ms
Python · pls4all
pls4all.python✓ bind3.28 ms🏆2.89 ms
pls4all.sklearn✓ bind3.33 ms2.88 ms🏆
Python · external
nirs4all⇄ +2e-0121.5 ms63.2 ms
ref.python_numpysource

See also: methods index · interactive dashboard