xpectra.Mahalanobis

class xpectra.Mahalanobis(n_components=20, random_state=42)

Bases: OODScorer

Min per-class Mahalanobis distance in PCA space (shared LW covariance).

Parameters:

• n_components (int)

• random_state (int)

__init__(n_components=20, random_state=42)

Parameters:

• n_components (int)

• random_state (int)

Return type:

None

Methods

__init__([n_components, random_state])
fit(X[, y, model])
score(X[, model])

Attributes

name

name: str = 'mahalanobis'

fit(X, y=None, model=None)

score(X, model=None)