Is there a way to "recreate" data with scikit-learn?

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My question is about scikit-learn in python. Let's say that I have 3 features A, B and C, with A and B capable of predicting C in such code:

exampleModel.fit(AandB, C) 
exampleModel.predict(C) 

Is there a way for me to input some C value, and get the A and B values necessary to achieve that C value? Almost inputing it in reverse. If there is a way, how is it called?

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