My Huarng partitioner constists of 130 Fuzzy Sets and when I try to fit a model it says the item has to be between 0 and 10.
That is, the number of partitions within the partitioner is always set to 10 by default in all partitioners.
I wanted to fit a Chen model by using
partitioner = Huarng.HuarngPartitioner(data=train, mf=mf.trimf)
model = chen.ConventionalFTS(partitioner=partitioner)
model.fit(train)
and received the described error.
The issue can be fixed by adding:
self.partitions=npart
after line 39 in Huarng.py before the for loop.
This fixed this issue for me and it adapts the correct number of partitions.
My Huarng partitioner constists of 130 Fuzzy Sets and when I try to fit a model it says the item has to be between 0 and 10. That is, the number of partitions within the partitioner is always set to 10 by default in all partitioners.
I wanted to fit a Chen model by using
and received the described error.
The issue can be fixed by adding:
self.partitions=npartafter line 39 in Huarng.py before the for loop.This fixed this issue for me and it adapts the correct number of partitions.
Kind regards, Th0m4sR