Closed mavarick closed 2 years ago
I think you can use this way :
series = TimeSeries.from_dataframe(DF, 'your date column name', 'your target column name', fillna_value=a number)
Another way is to use missing value fillers, for instance:
from darts.utils.missing_values import fill_missing_values
my_series = fill_missing_values(my_series)
which will interpolate the missing values.
Is your feature request related to a current problem? Please describe. for example, time series with specified time window by day, but some days are missing.
Describe proposed solution one way is checking time continuity before training/predicting, and fill empty dates with some values.
I want to know if there are some advanced or automatic ways to tackle this problem.