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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
16.67k stars 3.83k forks source link

use dart and goss at the same time #2991

Closed stanpcf closed 4 years ago

stanpcf commented 4 years ago

Summary

Current version of lightgbm, there are four boosting algorithm: dart, goss, rf, gbdt. the first three inherit from gbdt and can't use them at the same time(for example use dart and goss at the same time).

Motivation

those boosting algorithm which are not mutually exclusive. such as useing dart and goss at the samee time will get better accuary and speed.

Description

References

guolinke commented 4 years ago

Closed in favor of being in #2302. We decided to keep all feature requests in one place.

Welcome to contribute to this feature! Please re-open this issue (or post a comment if you are not a topic starter) if you are actively working on implementing this feature.

guolinke commented 4 years ago

move the discussion to #3128