Deploy Machine Learning anywhere with ONNX. Python SKLearn Model running in an Azure ml.net Function




[ad_1]

Deploying Machine Learning Models is hard. ONNX tries to make this process easier. You can build a model in almost any framework you’re comfortable with and deploy in to a standard runtime. This massively simplifies the path to production. With more tools beginning to support ONNX, now is the time to start looking at Production ML with ONNX.ai

Join Terry as he runs through an example of ONNX with a simple Python model running in SKLearn, ONNX in Python and ONNX in ml.net

For more information about ONNX- see: http://onnx.ai/

Otherwise, don’t forget to subscribe for more Machine Learning, or check out our blogs at: https://www.advancinganalytics.co.uk/blog

Source


[ad_2]

Comment List

  • Advancing Analytics
    January 23, 2021

    Great video Terry – i had been looking at MLeap for this kind of thing but found the real-time inference too difficult to work with, but ONNX looks really simple. Thanks for the explanation

  • Advancing Analytics
    January 23, 2021

    Can you tell me wheree can i download the sk2onnx library? Because i cannot install it with conda install sk2onnx

Write a comment