aug_batch_effect — Batch Effect Augmenter

Group: Augmentation · Binding: n4m.sklearn.BatchEffectAugmenter · C ABI: n4m_aug_batch_effect_*

Description

Random offset, slope and gain batch effects.

Parameters

Name

Type

Default

offset_std

float

0.0

slope_std

float

0.0

gain_std

float

0.0

variation_scope

int

0

wavelengths

—

None

rng

Optional[PCG64]

None

seed

int

0

Explanations

Bibliographic source

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

Mathematical principle

Random offset, slope and gain batch effects.

Implementation

C ABI n4m_aug_batch_effect_* in libn4m (create / apply / destroy lifecycle), wrapped by n4m.sklearn.BatchEffectAugmenter. The same numerical kernel backs every language binding.

Usage

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

See also: methods index · interactive dashboard