XGBoost is a library for constructing boosted tree models in R, Python, Java, Scala, and C++. Use this tag for issues specific to the package (i.e. input/output, installation, functionality).
Is it possible to train a model in Xgboost that have multiple continuous outputs (multi regression)? What would be the …
machine-learning random-forest xgboostThough question seems to be duplicate, i'm posting this as non of them gave a solution and relevant to my …
r data-manipulation xgboostIs there a way to set different class weights for xgboost classifier? For example in sklearn RandomForestClassifier this is done …
scikit-learn xgboostIn xgboost it is possible to set the parameter weight for a DMatrix. This is apparently a list of weights …
xgboostI know xgboost need first gradient and second gradient, but anybody else has used "mae" as obj function?
machine-learning xgboostIs it possible to use XGBoost for multi-label classification? Now I use OneVsRestClassifier over GradientBoostingClassifier from sklearn. It works, but …
python scikit-learn xgboost multilabel-classificationI am trying to tune parameters using the caret package in R but get a Error in train.default(x = …
r r-caret xgboostI use the python implementation of XGBoost. One of the objectives is rank:pairwise and it minimizes the pairwise loss (…
xgboostI'm having a lot of trouble figuring out how to correctly set the num_classes for xgboost. I've got an …
r xgboostMy first multiclass classication. I have values X and Y. Y have 5 values [0,1,2,3,4]. But i get this "multiclass format is …
python xgboost