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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: sdv-dev/CTGAN#380 (comment)
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