Mastering Continuous ML: Strategies for Success
1. New Model Launches in Continuous ML
In a Continuous ML system, after a model has been running for some time, there comes a point when a new version needs to be launched. This could be due to various reasons:
- Quality improvement : Using a larger model version with better serving capacity.
- Feature enhancement : Incorporating new features that boost predictive performance.
- Cost reduction : Adopting a more efficient model architecture to cut down serving costs.
However, launching a new model is fraught with uncertainty. Offline testing and validation, while useful, can’t provide a complete picture, especially in a feedback loop s
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