> xgb_tr = xgboost(data = dat[,-c(1:200)], label = dat[,1],
+ params = xgb_params_1,
+ nrounds = 256, # max number of trees
+ early_stopping_rounds = 12, # stop if no improvement
+ nthread = 8,
+ verbose = TRUE
+
+ )
Error in xgb.iter.update(bst$handle, dtrain, iteration - 1, obj) :
[16:13:05] amalgamation/../src/objective/regression_obj.cc:108: label must be in [0,1] for logistic regression