The Killer Feature Store - Orchestrating Spark ML Pipelines and MLflow for Production

The Killer Feature Store - Orchestrating Spark ML Pipelines and MLflow for Production

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Demo

17 of 18

17 of 18

Demo

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Classroom Contents

The Killer Feature Store - Orchestrating Spark ML Pipelines and MLflow for Production

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  1. 1 Introduction
  2. 2 Common Problem
  3. 3 Whats the effort
  4. 4 Semantics
  5. 5 Machine Learning Example
  6. 6 Customer Segmentation Example
  7. 7 Trade Test Split Example
  8. 8 Feature Management
  9. 9 Automation
  10. 10 ML Pipeline
  11. 11 Pipeline Overview
  12. 12 Why does it exist
  13. 13 Pipeline deployment
  14. 14 Pipeline stage declaration
  15. 15 Pipeline construction
  16. 16 Vectorizing text
  17. 17 Demo
  18. 18 ML pipeline orchestration API

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