<== blog page - 3/3 Blog benchmark (4) onnx (8)
blog page - 3/3#
ONNX, runtime, converters#
2019-06-15
I have been recently working on sklearn-onnx to write converter from scikit-learn operators to ONNX serialization format. I was talking about that a month ago and somebody asked me if there was a runtime implemented in RUST. Not that I know of but I said it would not be too complex to implement one.
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XGBoost into python code#
Similar projects#
2018-03-31
I would not say this module is actively maintained. It was more fun to have the idea, to test it on some simple model than to extend its coverage to all available models in scikit-learn. Some altenatives exists but it is still ongoing work. sklearn-porter proposed to produce code into many languages, C++, Javascipt, PHP, Java, Ruby, Go. It only includes learners and not transforms. onnx proposes to convert any models into a unified format. This module implements the format, onnxmltools, winmltools do the conversion of many models from scikit-learn, xgboost, lightgbm. The produced file can be used to run prediction on GPU and Windows with a dedicated runtime.
Why mlprodict?#
2017-11-30
What about predicting with scikit-learn with C but still training in Python?
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