TARNNResult._comparison_label#

TARNNResult._comparison_label()[source]#

Specification label used when this result appears in a ranking.

Example

>>> import numpy as np
>>> rng = np.random.default_rng(0)
>>> y = rng.standard_normal(300)
>>> TARNN(y, order=2, delay=1).fit()._comparison_label()
'TAR-NN(2, d=1)'
>>> TARNN(y, order=1, threshold_variable=np.arange(300.0)).fit()._comparison_label()
'TAR-NN/x(1, d=1)'
Return type:

str