Random Forest number of trees per boosting iteration

microsoft / LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

https://lightgbm.readthedocs.io/en/latest/

MIT License

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Random Forest number of trees per boosting iteration #4334

Closed brunofacca closed 3 years ago

brunofacca commented 3 years ago

Hello,

Is there a way to choose the number of trees per boosting iteration in Random Forest mode? I'm looking for a parameter equivalent to XGBoost's num_parallel_tree.

Thank you.

brunofacca commented 3 years ago

I've found the answer to the above question at:

If I understood correctly (please correct me if I'm wrong), in LightGBM's RF mode:

There is only one round of boosting. That's different from XGBoost's implementation of RF.
The number of trees in the forest is determined by the n_estimators parameter

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