MFLES clip number of arguments

[atsangarides]

What happened + What you expected to happen

Trying to fit an AutoMFLES/FLES model and I get a

TypeError: clip() takes at most 4 arguments (5 given)

when cap_outliers method is called in fit()

Versions / Dependencies

statsforecast==1.7.6
pandas==2.2.2

Reproduction script

from statsforecast.models import MFLES

y = pd.Series(range(0, 12*7))
m = MFLES(
      season_length = [48],
)
m.fit(y=y)

Issue Severity

Medium: It is a significant difficulty but I can work around it.

[jmoralez]

Hey. If you use the model isolated like that you have to provide a numpy array, not a pandas series.

[atsangarides]

OMG, the type hinting is so clear...