Hi, I had a questions on the way data was generated in order to train the logistics regressions models talked about in [0] https://arxiv.org/pdf/1711.01519.pdf For each of the training examples, the optimal execution policies,chunk sizes and prefetching distance had to be found before the training process in order to have good data. I wonder if the optimal parameters for the training examples were found by trial and error or if there is another technique. Thank you..
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