Feature Selection using TPOT.

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Hi all,
I am new to this tool and I am explored this tool to some extent and I got some questions/suggestion. I am not sure whether this is the right platform to ask my questions.
I am using Genetic Programming to select the prominent features. I want to use TPOT for this task as, it's based on GP. I see that GP is used to select the best model to give best accuracy score by searching through different classification models and their hyper parameters. I want to know is there some configuration so that TPOT can just perform feature selection using GP?. What i mean is, create a generations having population set of features and do crossover, mutate features as whole to create new set of features and perform classification task using these set of features and use the classification accuracy as selected features fitness evaluation. Repeat the same procedure for specified generations/ stopping criterion. So in the end we get the final selected feature set. Let me know if this is implemented already in TPOT. Correct me if there is any miss understanding.