search for: min_child_weight

...using caret to create xgbTree models. The caret train() function has a tuneGrid parameter which takes a list set up like so: tune.grid <- expand.grid(eta = c(0.05, 0.075, 0.1), nrounds = c(50, 75, 100), max_depth = 6:8, min_child_weight = c(2, 2.25, 2.5), colsample_bytree = (3:5)/10, gamma = 0, subsample = 1) That approach also worked with my data. By making the corresponding adjustments, I was also successful with gbm, bstTree and extraTree models but I can't get it to work...