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Hello,
I am not sure if 'forecast_proportions' is implemented or not.
In the main branch in the methods.py file it says it is not implemented.
However I see many examples in the documentation, and also don't get an error when I use 'forecast_proportions', in the topdown reconciliation method.
Also when I am getting error 'ValueError: Top down reconciliation requires strictly hierarchical structures.' when i choose methods such as proportion_averages, which makes sense because I am using mixed hierarchies, but don't get this error, when using option 'forecast_proportions'.
Was wondering if I am looking at the right branch, and what topdown 'forecast_proportions' meant.
Currently I am using 0.3.0 version of the hierarchicalforecast.
The text was updated successfully, but these errors were encountered:
Hello,
I am not sure if 'forecast_proportions' is implemented or not.
In the main branch in the methods.py file it says it is not implemented.
However I see many examples in the documentation, and also don't get an error when I use 'forecast_proportions', in the topdown reconciliation method.
Also when I am getting error 'ValueError: Top down reconciliation requires strictly hierarchical structures.' when i choose methods such as
proportion_averages
, which makes sense because I am using mixed hierarchies, but don't get this error, when using option 'forecast_proportions'.Was wondering if I am looking at the right branch, and what topdown 'forecast_proportions' meant.
Currently I am using 0.3.0 version of the hierarchicalforecast.
The text was updated successfully, but these errors were encountered: