Lambda

class torcheeg.transforms.Lambda(lambd: Callable, targets: List[str] = ['eeg', 'baseline', 'y'])

Apply a user-defined lambda as a transform.

transform = Lambda(targets=['y'], lambda x: x + 1)
transform(y=1)['y']
>>> 2

Parameters:

• targets (list) – What data to transform via the Lambda. (default: ['eeg', 'baseline', 'y'])

• lambd (Callable) – Lambda/function to be used for transform.

__call__(*args, **kwargs) → Dict[str, any]

Parameters:

x (any) – The input.

Returns:

The transformed output.

Return type:

any