microsoft/FLAML

samples about conversion to ONNX

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#429 opened on Jan 25, 2022

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Description

In principle it seems getting the parameters from FLAML to C# LightGBM seems to work, but I dont have any metrics yet. The names of parameters are slightly different but documentation is adequate to match them. Microsoft.ML seems to have version 2.3.1 of LightGBM.

Another approach that might be useful, especially for anyone working with .NET, would be having some samples about conversion to ONNX. Maybe even some additional tooling.

Originally posted by @torronen in https://github.com/microsoft/FLAML/discussions/409#discussioncomment-2043275

Contributor guide

Research direction
Look into FLAML's model output and LightGBM's built in conversion to ONNX. Create a Jupyter notebook or script that trains a FLAML model, extracts the underlying LightGBM booster, and uses lightgbm.Booster.convert to onnx() to export the model. Include instructions for .NET integration if needed.
Tech stack
python
Domain
machine learningai
Issue type
Documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonFLAML
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75