How does model export work? Why is only a Python file that receives new inputs and generates output not generated?
Model export is a foundational process in operationalizing machine learning models, particularly when aiming to perform serverless predictions at scale using platforms such as Google Cloud’s AI and ML services. The export process is not merely a matter of outputting a Python file that takes inputs and generates outputs; rather, it involves serializing the trained
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Serverless predictions at scale
What is Classifier.export_saved_model and how to use it?
The function `Classifier.export_saved_model` is a method commonly found in TensorFlow-based machine learning workflows, particularly associated with the process of deploying machine learning models to production environments, such as Google Cloud’s serverless platforms (for instance, AI Platform Prediction). Understanding this method requires familiarity with the TensorFlow framework, the SavedModel format, and the best practices for exporting
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Serverless predictions at scale