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#random
Title
# random
s

Simon Weppe

07/20/2023, 4:06 AM
something like
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mlf = MLForecast(
    models = [LinearRegression(), lgb.LGBMRegressor(),AutoARIMA(),NBEATS()],
    lags=[1, 12],(
)
mlf.fit(df)
mlf.predict(12)
m

Max (Nixtla)

07/20/2023, 4:13 AM
Sadly this is still not possible. However, here is a way to combine them: https://nixtla.github.io/statsforecast/docs/tutorials/statisticalneuralmethods.html
s

Simon Weppe

07/20/2023, 4:43 AM
That is a super useful ! thanks for your work..I think I might juts switch from darts 😉 ..really like the prediction interval with CP.
m

Max (Nixtla)

07/20/2023, 5:51 AM
Woop woop! Please tell us if we can help anymore