Deploy and Serve Model from Azure Databricks onto Azure Machine Learning
Summary
A PySpark multi-class classifier trained on Azure Databricks predicts semantic types of tabular data, using PySpark UDFs for featurization and Random Forests tuned with PySpark MLlib. Azure Machine Learning registers and deploys the model onto Azure Kubernetes (AKS) with a PySpark runtime, serving it as HTTPS endpoints with key-based and token-based authentication.
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