Kubeflow and Beyond - Automation of Model Training, Deployment and Testing

Kubeflow and Beyond - Automation of Model Training, Deployment and Testing

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Defining Downloading Container

12 of 24

12 of 24

Defining Downloading Container

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Kubeflow and Beyond - Automation of Model Training, Deployment and Testing

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  1. 1 Intro
  2. 2 Today's webinar overview
  3. 3 ML Workflow
  4. 4 Production Inferencing
  5. 5 What is Hydrosphere.io?
  6. 6 Research
  7. 7 Step 3.5: Model Training and Saving
  8. 8 Model Deployment
  9. 9 Production Inference
  10. 10 Model Performance Monitoring
  11. 11 Parametrizing function
  12. 12 Defining Downloading Container
  13. 13 Stage 1: Mounting Volumes
  14. 14 Defining Training Container
  15. 15 Defining Uploading Container
  16. 16 Defining Deploying Container
  17. 17 Defining Testing Container
  18. 18 Defining Cleaning Container
  19. 19 Compiling Pipeline
  20. 20 Executing Pipeline with a single command
  21. 21 Source code
  22. 22 Step 9: Model Maintenance explainability of monitoring alert
  23. 23 Step 2: Data Preparation - Building Container
  24. 24 Model Training - Building a model

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