title: Python's XGBRegressor vs R's XGBoost
body: <p>I'm using python's XGBRegressor and R's xgb.train with the same parameters on the same dataset and I'm getting different predictions. </p>
  
  <p>I know that XGBRegressor uses 'gbtree' and I've made the appropriate comparison in R, however, I'm still getting different results. </p>
  
  <p>Can anyone lead me in the right direction on how to differentiate the 2 and/or find R's equivalence to python's XGBRegressor?</p>
  
  <p>Sorry if this is a stupid question, thank you. </p>