Hi,
I have one question related to ML model prediction in xgboost autotuner. The predict() function in [/python/tvm/autotvm/tuner/sa_model_optimizer.py] returns scores for configuration candidates and I assume those scores are calculated based on predicted time.
Is my assumption correct? How could I find the predicted time rather than scores?