Sometimes the generated code missing the line:
df = np.log1p(df)
This make some errors to forecasting with np.expm1() transformation.
This problem occurred with my dataset but it is possible to replicate with the "yearky_lynx_trapping.csv" dataset and FREQUENCY equals to Daily with default configuration.
In the end the Augmented Dickey-Fuller test stays like this:
# Applying Augmented Dickey-Fuller test
dftest = adfuller(df.diff().dropna(), autolag='AIC')
Sometimes the generated code missing the line:
df = np.log1p(df)This make some errors to forecasting with np.expm1() transformation.
This problem occurred with my dataset but it is possible to replicate with the "yearky_lynx_trapping.csv" dataset and FREQUENCY equals to Daily with default configuration.
In the end the Augmented Dickey-Fuller test stays like this: