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Description
Say I have a dataset with 4 variables(2 nonsensible, 2 sensible), of which I only want to synthsize the last two(sensible variables). By What I understand from DataDescriber, the only way to not synthesize a variable is to set it as a candidate_keys which will simply ennumerate each row of the data.
If I treat the first two variables(nonsensible variables) just like the others, I can run into the problem, that the attribute-parent tuples from the BN are in a problematic order. The sensible variable could be a parent of the nonsensible variable. Of course I would like to have it the other way around, so that the first 2 nonsensible variables can provide information (being so to speak somehow treated as "predictors") for sampling the sensible variables.
Maybe I am missing some obvious way to do partial synthesis?
Description
Say I have a dataset with 4 variables(2 nonsensible, 2 sensible), of which I only want to synthsize the last two(sensible variables). By What I understand from DataDescriber, the only way to not synthesize a variable is to set it as a candidate_keys which will simply ennumerate each row of the data.
If I treat the first two variables(nonsensible variables) just like the others, I can run into the problem, that the attribute-parent tuples from the BN are in a problematic order. The sensible variable could be a parent of the nonsensible variable. Of course I would like to have it the other way around, so that the first 2 nonsensible variables can provide information (being so to speak somehow treated as "predictors") for sampling the sensible variables.
Maybe I am missing some obvious way to do partial synthesis?