SVResult._comparison_label

SVResult._comparison_label()

Specification label used when this result appears in a ranking.

The mean choice, then t and leverage when present, then the method, so fits from different estimators never share a label.

Example

>>> import numpy as np
>>> rng = np.random.default_rng(0)
>>> y = rng.standard_normal(200)
>>> SV(y, mean="zero").fit()._comparison_label(), SV(y).fit()._comparison_label()
('SV[zero, qml]', 'SV[constant, qml]')

Return type:

str