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# statsforecast
s
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j
Hey. The AutoARIMA model takes arrays as input, are you converting your target to an array?
j
my workflow thus far has been to pass AutoARIMA to StatsForecast like this
Copy code
a_arima = AutoARIMA(
    season_length = 7,
    trace = True,
    alias = 'auto_arima'
)
sf = StatsForecast(
    models = [
        a_arima
    ],
    freq = 'D',
    verbose = True,  
)

sf.fit(df)
df
has multiple unique_ids
j
ah, so you're using the StatsForecast class. In that case the best model is found for each unique_id
j
oh 🙂 . wonderful! Thanks very much for your assistance.