Covariate adjustment for continuous and binary trait

[pupatel]

I am trying to use ResAdjTranformer() for feature-only adjustments. How do I adjust for a continuous and binary trait together?

Context of the issue

I have done the adjustment by individual covariates depending on their type. For example, I used linear regression to adjust Age, and for binary trait-like Sex use logistic regression.

Here's the sample covariate file:
Feature, Type , Covariates
Feature-1 , linear , Age
Feature-1 , logistic , Sex
Feature-2 , linear , Age
Feature-2 , logistic , Sex
...

Could I do the following and TPOT will take of the binary trait automatically?
Feature-1, linear, Age;Sex

Additionally, after I use ResAdjTranformer(), Is there a way to know % variance explained by each covariate across different features? If so, could you please guide me to an example?

Thank you so much for helping me in advance.

Best,
P.