I want to use the LightGBM framework as a CART and a Random Forest. This should be easily achievable by choosing the right hyper parameters for the algorithm.
I think that I should do the following:
Random Forest:
random_forest = lgb.LGBMRegressor(boosting_type="rf", bagging_freq=1, bagging_fraction=0.8, feature_fraction=0.8)
CART:
cart = lgb.LGBMRegressor(boosting_type="rf", num_iterations=1, num_leafs=131072)
What do you think? Did I miss something? Is my approach correct?
