I am trying to train a classification model with one of the features being a vector of the objective function values for the last 8 iterations of a hyper-heuristic search.

However, the problem I am having is that during the first 8 iterations of the hyper-heuristic search, the vector will have missing values as there have not been enough iterations yet to fill the vector.

I was wondering what is the best way to deal with this issue. Any insight is appreciated, thanks.



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