r/MachineLearning - [D] Error function for AdaBoost Algorithm

I need to solve a task where it is asked to me to provide an error function whose minimization leads to a formulation equivalent to the AdaBoost algorithm. I did not understand exactly this question, I know that in the AdaBoost algorithm at the beginning I train a "weak" learner by minimizing its error function and then I used the weights to compute errors and iterate over the new classifier, this in an iterative way; so what does it mean with this error function to minimize?