filter_x_outlier — X Outlier Filter

Group: Sample / feature filters · Binding: n4m.sklearn.XOutlierFilter · C ABI: n4m_filter_x_outlier_*

Description

Multivariate outlier filter on the design matrix X.

Full binding docstring 
Multivariate outlier filter on the design matrix ``X``.

``method`` selects one of six scoring strategies; see
:c:type:`n4m_filter_x_outlier_method_t`.

Parameters

Name

Type

Default

method

str

'mahalanobis'

use_threshold

bool

False

threshold

float

0.0

n_components

int

0

contamination

float

0.1

seed

int

0

n_estimators

int

100

max_samples

int

256

Explanations

Bibliographic source

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

Mathematical principle

Multivariate outlier filter on the design matrix X.

Implementation

C ABI n4m_filter_x_outlier_* in libn4m (create / apply / destroy lifecycle), wrapped by n4m.sklearn.XOutlierFilter. The same numerical kernel backs every language binding.

Usage

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

See also: methods index · interactive dashboard