You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Is your proposed enhancement related to a problem? Please describe.
Sometimes you create a dataframe with date as a string format, then when doing prediction, it will raise following error:
The thing is that happens only at prediction time, and not at fitting time. Since depending on your dataset, you spend a lot of time fitting model, would be nice to inform or even try to change index format apriori.
Describe the solution you'd like
Maybe trying to infer freq at prediction time, or just a Warning advising for a pd.to_datetime transformation.
Describe alternatives you've considered
Trying to change index of nodes after fitting, but this is burdensome.
The text was updated successfully, but these errors were encountered:
Is your proposed enhancement related to a problem? Please describe.
Sometimes you create a dataframe with date as a string format, then when doing prediction, it will raise following error:
The thing is that happens only at prediction time, and not at fitting time. Since depending on your dataset, you spend a lot of time fitting model, would be nice to inform or even try to change index format apriori.
Describe the solution you'd like
Maybe trying to infer freq at prediction time, or just a Warning advising for a pd.to_datetime transformation.
Describe alternatives you've considered
Trying to change index of nodes after fitting, but this is burdensome.
The text was updated successfully, but these errors were encountered: