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# neural-forecast
s
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c
Hi @Fidele Koffivi Gbagbe! The parameter
futr_df
is only to be used for the future exogenous covariates (see example in https://nixtla.github.io/neuralforecast/examples/exogenous_variables.html). You should use
df
to pass the usual dataset (with
y
and historic exogenous covariates), and the function will return the next
h
forecasts after the last date of
df
.
1
If you want to make rolled forecasts (for many timestamps in the
eval_data
), you can merge
train_data
and
eval_data
and use the
cross_validation
method.