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I was wondering if it makes sense to use the DYNOTEARS structure as input to BayesianNetwork for prediction and/or inference with time series. DAGRegressor seems to be specifically designed for NOTEARS, and I don't think using DynamicDataTransformer on my dataset before putting it in DAGRegressor is a smart thing to do. So, if I'm not missing something, only the former approach is potentially suitable. Thus, this is both a question about how to currently use CausalNex and a suggestion for combining DYNOTEARS with DAGRegressor.
Thanks in advance!
The text was updated successfully, but these errors were encountered:
Hi,
I was wondering if it makes sense to use the DYNOTEARS structure as input to BayesianNetwork for prediction and/or inference with time series. DAGRegressor seems to be specifically designed for NOTEARS, and I don't think using DynamicDataTransformer on my dataset before putting it in DAGRegressor is a smart thing to do. So, if I'm not missing something, only the former approach is potentially suitable. Thus, this is both a question about how to currently use CausalNex and a suggestion for combining DYNOTEARS with DAGRegressor.
Thanks in advance!
The text was updated successfully, but these errors were encountered: