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What is the significance of 'feature store' in model deployment?

Practice Questions

1 question
Q1
What is the significance of 'feature store' in model deployment?
  1. To store raw model outputs
  2. To manage and serve features for model training and inference
  3. To visualize feature importance
  4. To automate model retraining

Questions & Step-by-step Solutions

1 item
Q
Q: What is the significance of 'feature store' in model deployment?
Solution: A feature store centralizes the management of features, making them easily accessible for both training and inference.
Steps: 0

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