xgboost

Scalable, portable gradient boosting library for machine learning

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About

Scalable, Portable and Distributed Gradient Boosting Library

Commands

xgboost

Examples

Train a basic XGBoost model using Python API$ python3 -c "import xgboost as xgb; dtrain = xgb.DMatrix('train.libsvm'); params = {'max_depth': 3}; xgb.train(params, dtrain, num_boost_round=10)"
Make predictions on new data using a trained model$ python3 -c "import xgboost as xgb; dtest = xgb.DMatrix('test.libsvm'); bst = xgb.Booster(model_file='model.bin'); predictions = bst.predict(dtest)"
Train model from command line with config file$ xgboost train.conf