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Converts Machine Learning models to ONNX for use in Windows ML

Project description


WinMLTools enables you to convert models from different machine learning toolkits into ONNX for use with Windows ML. Currently the following toolkits are supported:

  • Apple Core ML

  • scikit-learn (subset of models convertible to ONNX)

  • xgboost

  • libSVM

  • RevoScalePy

  • Keras


pip install winmltools


scikit-learn is needed to convert a scikit-learn model, coremltools for Apple Core ML.


Here is a simple example to convert a Core ML model:

import winmltools
import coremltools

model_coreml = coremltools.utils.load_spec("image_recognition.mlmodel")
model_onnx = winmltools.convert.convert_coreml(model_coreml, "Image_Reco")

# Save as text
winmltools.utils.save_text(model_onnx, "image_recognition.json")

# Save as protobuf
winmltools.utils.save_model(model_onnx, "image_recognition.onnx")


MIT License

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