Sampsize by strata in subsample? (4)
Default Tree Booster Parameters (2)
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Stratified KFold CV for Regression (4)
Aggregating trees hyperparameters to single one (2)
Modifying n_tree during predict with num parallel trees (2)
Metric functions for multiclass training on multiple GPUs (2)
Segmentation fault with external memory training (5)
Custom Loss function (4)
Is there a way to apply the setinfo() manually to a dataset? (1)
Possibility to return which variables/rows are used in each "subsample" and "colsample_bytree" call (1)
Python API equivalent to R's xgb.model.dt.tree (4)
Multi-class classification using C API (2)
[jvm-packages] potential checkpoint issues (3)
Scala spark xgboost v0.81 checkpoint issues (5)
[jvm-packages] Is scala spark xgboost 0.81 model training reproducible (5)
Inconsistency in scores of Prediction using R and Java (13)
How many features does XGBoost work with? (5)
Meaning of kRtEps (4)
Is there a C++ API document and usage examples? (7)
[jvm_packages] Watchlist feature for XGBoost4j-Spark? (2)
How do I set class labels? (7)
[jvm-packages] xgboost4j external memory explain (7)
Num_feature parameter usage in python package (3)
Xgb on yarn foreach partition error (3)
[jvm-packages] changing verbosity? (1)
Sentiment Analysis (6)
Python: Want to call XGBClassifier.predict just with data and not DMatrix (6)
Can I use XGBoost if data does not fit into memory? (3)
Multiple Evaluation Metrics in xgboost (Python, native) (2)