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First of all, thanks for this amazing paper and code.
so the picture above is the prior structure I'm trying to implement.
(competition is from this : https://dacon.io/competitions/official/236423/data)
about data
time stamp : per minute (could be irregular)
Q : flux (Q1-Q5)
M : Pump wheter On=1 or Off=0 (M1-M14) (these are located in Pumping station in the 2nd rightmost side of picture)
P : Pressure (P1-P26)
anomaly : normal=0 or abnormal=1
P_flag : Whether Pressure at that time is normal=0 or abnormal=1
(P_flag_1-P_flag_26)
In 'def get_prior_graph_struc(dataset)' function,
it seems i have to customize the structure of graph based on the picture.
any advice doing that?
The text was updated successfully, but these errors were encountered:
Oh and plus, so train data is Both TRAIN_A and TRAIN_B that have both different graph structure. not only that, have 2 test sets TEST_C and TEST_D that have both different graph structures too.
so same model have to learn 2 different graph structures with 2 different train sets. any advice about training method?
First of all, thanks for this amazing paper and code.
so the picture above is the prior structure I'm trying to implement.
(competition is from this : https://dacon.io/competitions/official/236423/data)
time stamp : per minute (could be irregular)
Q : flux (Q1-Q5)
M : Pump wheter On=1 or Off=0 (M1-M14) (these are located in Pumping station in the 2nd rightmost side of picture)
P : Pressure (P1-P26)
anomaly : normal=0 or abnormal=1
P_flag : Whether Pressure at that time is normal=0 or abnormal=1
(P_flag_1-P_flag_26)
In 'def get_prior_graph_struc(dataset)' function,
it seems i have to customize the structure of graph based on the picture.
any advice doing that?
The text was updated successfully, but these errors were encountered: