BinariesToCategory

class torcheeg.transforms.BinariesToCategory

Convert multiple binary labels into one multiclass label. Multiclass labels represent permutations of binary labels. Commonly used to combine two binary classification tasks into a single quad classification task.

from torcheeg import transforms

t = transforms.BinariesToCategory()
t(y=[0, 0])['y']
>>> 0
t(y=[0, 1])['y']
>>> 1
t(y=[1, 0])['y']
>>> 2
t(y=[1, 1])['y']
>>> 3

__call__(*args, y: List, **kwargs) → int

Parameters:

y (list) – list of binary labels.

Returns:

The converted multiclass label.

Return type:

int