Use the aa.xgboost.drive() function to take a set of training data as input and use gradient boosting to produce a strong classifying model that can be input to the aa.xgboost.predict() function.
Use the aa.xgboost.drive() function to take a set of training data as input and use gradient boosting to produce a strong classifying model that can be input to the aa.xgboost.predict() function.