Comments (3)
I have the same problem, have u found any solution?
from statsforecast.
Hey. You can manually display the plots like this:
from IPython.display import display
for cutoff in cv_df['cutoff'].unique():
fig = StatsForecast.plot(
Y_df,
cv_df.query('cutoff == @cutoff').drop(columns=['y', 'cutoff']),
max_insample_length=48 * 4,
unique_ids=['H105'],
engine='matplotlib'
)
display(fig)
from statsforecast.
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from statsforecast.