Lightgbm sklearn interface and Native Interface Parameters

class lightgbm.LGBMClassifier(boosting_type=‘gbdt‘, num_leaves=31, max_depth=-1, learning_rate=0.1, n_estimators=10, max_bin=255, subsample_for_bin=200000, objective=None, min_split_gain=0.0, min_child_weight=0.001, min_child_samples=20, subsample=1.0, subsample_freq=1, colsample_bytree=1.0, reg_alpha=0.0, reg_lambda=0.0, random_state=None, n_jobs=-1, silent=True, **kwargs)

Boosting_type:Default = "gbdt"
"Gbdt": gradient boosting demo-tree
"Dart": Dropouts meet multiple additive regression trees
"Goss": gradient-based one-side sampling
"RF": Random Forest

Num_leaves (Int,Optional(Default = 31)): The maximum leaf node of each base learner.


 
 

  
  
Max_depth(Int,Optional(Default =-1)): Maximum depth of each base learner,-1 means no limit.
 
 

Lightgbm sklearn interface and Native Interface Parameters