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# general
s
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m
This seams like a question for @fede (nixtla) (they/them).
e
Thank you for a quick reply, looking forward to the answer!
f
hey @Elijas! Currently,
statsforecast
does not support access to the
train_ds
values. Since our models don’t need the
ds
information, we omitted that possibility (they receive the time series as a numpy array). Even if the time series is not uniformly spaced, StatsForecast passes the values to the models. We are planning a refactor to allow the models to access the full dataframe (including
ds
) instead of just the numpy array values. Please help us open an issue to prioritize this new feature. 🙂
m
Where you thinking to open a PR in stats, ml o neural @Elijas?
e
Thank you for such a quick and clear response, @fede (nixtla) (they/them)!
Currently,
statsforecast
does not support access to the
train_ds
values
Just to make sure,
mlforecast
and
neuralforecast
also doesn’t support
ds
?
m
Thanks a lot @Elijas.
f
yes,
mlforecast
and
neuralforecast
also do not support it at the moment.
mlforecast
produces features based on
ds,
but the fit method of the models don’t receive the complete
ds
values
🙏 1