@deep-diver and I have worked on an MLOps project for the past couple of months. It shows how “Continuous Adaptation for ML System to Data Changes” can be done by building/interconnecting two separate pipelines (note this project is done in TFX and various GCP services).

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We have written a blog post about some of the internal implementation details, and it is published on TensorFlow Blog. Please find it here:

  
      

      blog.tensorflow.org
  

  
    

Continuous Adaptation for Machine Learning System to Data Changes 4

  Learn how ML models can continuously adapt as the world changes, avoid issues, and take advantage of new realities in this guest blog post.


  

  
    
    
  

  


Also, we have open-sourced all the materials to reproduce this project including in-depth explanations within a set of Jupyter notebooks. You can find the repo here

  
      

      GitHub
  

  
    

GitHub -... 1

  Contribute to deep-diver/Continuous-Adaptation-for-Machine-Learning-System-to-Data-Changes development by creating an account on GitHub.


  

  
    
    
  

  


@Robert_Crowe, huge thanks for your help on this one.
Thanks for your valuable time to read this and we hope this will be helpful