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As a user, it would be helpful if there was a way to see if my sequential data is correct according to my metadata.
Acceptance criteria
Add a method called validate to the PARSynthesizer
This method should make the same checks as the BaseSynthesizer.validate plus the following one
Context columns (stored in the model's parameters) should be fixed for each sequence – ie if you group by sequence key, the context columns should not vary Error: Context column 'patient_address' is changing inside sequence ('Patient_ID'='ID_004').
The PARSynthesizer does not inherit from the BaseSynthesizer class. This is mostly because the sampling methods for these classes are different. It might be worth investigating ways to refactor the code so that there isn't too much repetition. One option could be mixins. We could have a mixin for most of the repeated functionality that both PARSynthesizer and BaseSynthesizer inherit from.
The text was updated successfully, but these errors were encountered:
Problem Description
As a user, it would be helpful if there was a way to see if my sequential data is correct according to my metadata.
Acceptance criteria
validate
to thePARSynthesizer
BaseSynthesizer.validate
plus the following oneError: Context column 'patient_address' is changing inside sequence ('Patient_ID'='ID_004').
Expected behavior
Additional context
PARSynthesizer
does not inherit from theBaseSynthesizer
class. This is mostly because the sampling methods for these classes are different. It might be worth investigating ways to refactor the code so that there isn't too much repetition. One option could be mixins. We could have a mixin for most of the repeated functionality that bothPARSynthesizer
andBaseSynthesizer
inherit from.The text was updated successfully, but these errors were encountered: