Would like to put in a feature request for onnx support. This could solve a lot of requests for support of different model types in one go, e.g. xgboost vs lightgbm becomes user's choice, not an elastic ltr constraint.
Understanding of ONNX formatElasticsearch plugin developmentJava
初心者向け度初回貢献者にどれだけ取り組みやすいかを 1-100 で推定したスコアです。
10
調査方針
Investigate the elasticsearch learning to rank plugin architecture, particularly how model loaders are implemented for different model types (e.g., XGBoost, LightGBM). Explore the ONNX Runtime Java API to understand integration possibilities. Review existing code in the repository to identify where a new model loader would be added, likely in a package related to model inference. No linked PRs or comments provide additional context.
