Feature Request: Add Support for Linear Trees in LightGBM

[dragonbra]

I noticed that the leaf nodes in decision trees only contain a single response value, as seen in this example:

oneDAL/cpp/daal/include/algorithms/tree_utils/tree_utils_regression.h

Line 51 in bbe13a4

struct DAAL_EXPORT LeafNodeDescriptor : public NodeDescriptor

oneDAL/examples/daal/cpp/source/gradient_boosted_trees/gbt_reg_traversed_model_builder.cpp

Line 92 in bbe13a4

virtual bool onLeafNode(

In recent versions of the LightGBM model, a new feature called linear trees has been introduced: link to the feature.
However, if I convert a linear tree model to the DAAL format, it can only store the leaf constant value, not the linear model within the leaf node.

Could this feature be added? I would greatly appreciate it.

[AllenSun1024]

Hi, @dragonbra

According to your request, is it possible to use C++ interfaces to 1) convert trained LGBM models to oneDAL and 2) predict with converted oneDAL models?

Thank you~

[dragonbra]

Hi, @dragonbra

According to your request, is it possible to use C++ interfaces to 1) convert trained LGBM models to oneDAL and 2) predict with converted oneDAL models?

Thank you~

Hi @AllenSun1024

I have only tried converting LightGBM models to the Python version of oneDAL for inference. Since it does not support linear models, I did not explore further. Therefore, I am not sure how to use the C++ interface with oneDAL models converted from LGBM.

Subsequently, I implemented my own CUDA-accelerated inference process for LightGBM with linear_tree=true.

I hope this information helps you.

[AllenSun1024]

Hi, @dragonbra

I've confirmed that No C++ converter interfaces exist.

Best,
Chao