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Revisit model when causalnex version 0.11.0 is released, GPU acceleration is added
The model would be better with more data from more seasons
In prior versions of causalnex there was a dynamic Bayesian belief network schema that could be instantiated to account for time steps in the model (the graph structure learning algorithm for this was DYNOTEARS, but as of version 0.10.0 the algorithm is no longer referenced in the documentation, but exists in the codebase)
NOTEARS has a lasso regression option for structure learning from tabular data, this could be worth exploring when GPU acceleration is enabled.
The text was updated successfully, but these errors were encountered:
causalnex
version0.11.0
is released, GPU acceleration is addedcausalnex
there was a dynamic Bayesian belief network schema that could be instantiated to account for time steps in the model (the graph structure learning algorithm for this wasDYNOTEARS
, but as of version0.10.0
the algorithm is no longer referenced in the documentation, but exists in the codebase)The text was updated successfully, but these errors were encountered: