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