I want to improve my ability to evaluate synthesizers with different parameters, in different environments, and against each other.
Expected behavior
As a user, I'd like the Synthesizer models to be fit in the same way so I can generate the same synthetic data every time.
Potential API
There are situations when you want a slightly different model to be trained. So reproducibility may be something we try to incorporate with a parameter:
Problem Description
I want to improve my ability to evaluate synthesizers with different parameters, in different environments, and against each other.
Expected behavior
As a user, I'd like the Synthesizer models to be fit in the same way so I can generate the same synthetic data every time.
Potential API
There are situations when you want a slightly different model to be trained. So reproducibility may be something we try to incorporate with a parameter:
Additional context
Originally raised here: https://github.com/sdv-dev/CTGAN/issues/380#issuecomment-2109042846