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# neural-forecast
s
This message was deleted.
c
Hi @Avi. A couple of things that could be happening: 1. Duplicates values of
unique_id
and
ds
, this should be unique. 2.
cols
is not a list. I am not sure it will work if you did
data.columns
because it is an Index object. You should convert it to a list:
list(data.columns)
(only include exogenous columns). You also have an extra
,
at the end of the
fit
method. Can you try removing the
hist_exog_list
? Run the exact same pipeline, with the same
data
, but do
hist_exog_list=None
. It would help to debug if the error is caused by the exogenous variables. Dont remove them from the
data
.
a
Can you please tell what exactly unique_id represent. Like I gave a static value to this column
c
unique_id can be of any type, it is only used to differentiate different time series in your dataset. If you only have one time series then it will be a constant value
but the combination of unique_id, ds must be unique, since it only allows for one row per serie and timestamp.
a
I assigned a constant value, and all values in ds are unique
Still facing the same issue
c
Then the issue is different. Have you tried my suggestion of removing the hyperparameter
hist_exog_list
?
a
Yes
c
can you show a screenshot with more details of the error? To see where is the error
a
sure
c
it seems that you have duplicates columns
a
Here's my df without exogenous variables
c
but are you passing this data with only
unique_id
,
ds
,
y
? the error is very clear in that you have two columns with the same name
can you try passing this data filtered data with only those 3 columns?
a
Yes, there was a duplicate column, I removed it and it works. Thanks for your help. Can you tell me how I can train multivariate AutoNHITS model with expogenous variables
😀 1
c
you can specify the
hist_exog_list
in the
config
when you define the search