From the course: Data Science on Google Cloud Platform: Predictive Analytics
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Model versions - Google Cloud Tutorial
From the course: Data Science on Google Cloud Platform: Predictive Analytics
Model versions
- [Instructor] A model in Cloud ML can contain a number of model versions. A model version is a specific instance of the solution that the model is trying to solve. Different versions of the model can be derived either from different algorithms, different settings for the algorithm or both. You can create multiple versions of the model to compare their performance and accuracy, and fine-tune them. The preferred one in the set is the current model, which will then be used as default. Multiple versions of the model can be simultaneously used, if required, say for A/B testing.
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