pp_crop — Wavelength-column cropping

Group: Preprocessing · C ABI: n4m_transform_crop_*

Description

Slice wavelength columns in the half-open interval [start, end).

Parameters

Name

Type

Default

start

int

—

end

int

—

API and bindings

C ABI (ABI 2): n4m_transform_crop_create · n4m_transform_crop_destroy · n4m_transform_crop_output_cols · n4m_transform_crop_transform. Use the linked public header for the exact signature, configuration, and result handles.

Python (verified public re-export):

from n4m.transform.resampling import CropTransformer

Source signature: CropTransformer(start: int, end: int).

R: no current source-verified entry point was found for this catalog method.

MATLAB / Octave: no current source-verified entry point was found for this catalog method.

Explanations

Bibliographic source

No canonical paper: cropping is an indexing operation, defined here by Python’s half-open slice convention [start, end).

Mathematical principle

For every row the transform copies columns \(j\) satisfying \(\mathrm{start}\le j<\mathrm{end}\). It changes feature count without interpolation or wavelength-aware lookup.

Appropriate uses

Restricting a model to a known spectral region or removing detector edge bands.

Limits and validation

Indices are positions, not physical wavelengths; grids must already be consistent. Cropping can discard predictive bands and changes downstream feature alignment.

Implementation

n4m.transform.resampling.CropTransformer wraps n4m_transform_crop_*; the copy and bounds checks are in preprocessing/resampling/crop.c.

The ABI-2 implementation is the n4m_transform_crop_* lifecycle in libn4m.

Sources and provenance

https://github.com/GBeurier/nirs4all-methods/blob/main/cpp/src/core/preprocessing/resampling/crop.c


See also: methods index · interactive dashboard