How to convert a trained LGBM model to DAAL model by CPP interfaces?

[AllenSun1024]

Describe the bug

• In Python, we can simply use daal4py.get_gbt_model_from_lightgbm() to convert a trained LGBM model to oneDAL, and use daal4py.gbt_regression_prediction() to predict.
• May I find the corresponding CPP interfaces to convert models and predict?

[razdoburdin]

Hi, the conversion has only python implementation for now.

[AllenSun1024]

Hi, @razdoburdin

Thanks for your kind reply.

Further, have your team started to implement the CPP converter interfaces?

Best,
Chao

[razdoburdin]

Hi, @razdoburdin

Thanks for your kind reply.

Further, have your team started to implement the CPP converter interfaces?

Best, Chao

Could you please describe your use case? We don't have such plans for now.

[AllenSun1024]

Hi, @razdoburdin

My use case is described below:

• I have a LightGBM model trained through LightGBM's Python API
• I use LightGBM's C++ API to load the pre-trained model and infer
• To make the speed of inference faster, I need some C++ APIs which are similar to Python daal4py to convert the LightGBM model to DAL model.

Best,
Chao

[syakov-intel]

Hi @AllenSun1024 ,
On the last stage, do you have particular requirement/expectation? Is your case latency sensitive? Could you please elaborate more?

[AllenSun1024]

Hi, @syakov-intel

My case is latency sensitive. I wanna use oneDAL to accelerate on Intel Xeon CPU. I think inferring on Intel Xeon CPU with oneDAL's C++ interfaces will make a great progress in speed just like Python daal4py, right?