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.
I trained a lightgbm model in python, and saved as a model file, then I want to predict new data in C++. I search in the web but cannot find a good example.
Environment info
Operating System: linux
CPU/GPU model:cpu
C++/Python/R version: c++
question
I trained a lightgbm model in python, and saved as a model file, then I want to predict new data in C++. I search in the web but cannot find a good example.