XGBoost Converter Framework

In my current project, I’m using an XGBoost model and I need to convert it into a compiled language (C/C++) to run on a bare-metal processor.

So far, I’ve come across tools like Treelite, m2cgen, and FastForest, but I’m wondering if there’s a more modern or sophisticated framework that supports optimizations specifically for embedded systems (such as unrolling, pruning, quantization, etc.).

Has anyone worked on something similar or have any suggestions?

submitted by /u/VSC_1922_ to r/learnmachinelearning
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