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Probably a conflict of interest question and kindly bear with me for asking this, @jsleight would you recommend any alternative for inference optimized serialization of xgboost spark pipelines ( I see that MLFlow now also deprecating mleap support and recommending ONNX as format, although not sure how does one get to ONNX from Spark Xgboost)
I've started to use onnx for some stuff alongside mleap as well. I've mostly done TF/pytorch stuff and not sure if I've done xgboost on onnx yet. onnx docs have decent guides to get started on the conversion APIs
Any plans to upgrade to Spark 3.5 and the latest Xgboost 2.x ?
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