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Please indicate the following details about the environment in which you found the bug:
SDV version: 0.10
Python version: 3.9
Operating System: Windows
Error Description
I was under the impression that adding a list of columns (more than 2) would constrain the model in respect of the combinations of categories represented by those columns but it does not seem to work. I see nulls generated where there should be none
Steps to reproduce
I can’t share my example due to privacy etc. but imagine that a toy example where a list of three categories passed to uniquecombinations would probably generate the same result.
The text was updated successfully, but these errors were encountered:
This issue of nan values being generated is NOT just limited to cases in which a UniqueCombinations constraint is applied to more than two columns. The generation of nan values likewise occurs when the UniqueCombinations constraint is applied to only two columns. A full reproducible example is provided in the form of a Jupyter Notebook attached to this issue: #521.
Environment Details
Please indicate the following details about the environment in which you found the bug:
Error Description
I was under the impression that adding a list of columns (more than 2) would constrain the model in respect of the combinations of categories represented by those columns but it does not seem to work. I see nulls generated where there should be none
Steps to reproduce
I can’t share my example due to privacy etc. but imagine that a toy example where a list of three categories passed to uniquecombinations would probably generate the same result.
The text was updated successfully, but these errors were encountered: