Hello Team Nixtla, I'm trying to fit several kinds of ARIMA's inside a for loop. The snippet is below:

from statsforecast.utils import AirPassengers as ap
from statsforecast.models import ARIMA
import numpy as np
# ARIMA
arima_p = np.arange(3)
arima_d = np.arange(3)
arima_q = np.arange(3)
for p in arima_p:
    for d in arima_d:
        for q in arima_q:
            if (p + d + q) > 0:
                arima = ARIMA(order = (p, d, q), season_length = 12)
                arima.fit(y=ap)

This is probably because there is a check for

isinstance(int)

but these are

nump.int64.

You can fix this by casting d, q, and p to int.

arima_p = [int(x) for x in np.arange(3)]

That's right, thank you!