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Classroom Contents
MLflow Model Serving - Methods and Best Practices
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- 1 Intro
- 2 Prediction overview
- 3 Vocabulary - Synonyms
- 4 Online Scoring
- 5 MLflow Model Server deployment options
- 6 ML.flow Model Server container types
- 7 Score with JSON split-oriented format
- 8 Python container
- 9 End-to-end ML Pipeline Example with MLflow
- 10 MLflow Deployment Plugins
- 11 MLflow Deployment Plugin Examples
- 12 MLflow Ray Resources
- 13 Keras/TensorFlow Model Formats
- 14 MLflow Keras/TensorFlow Run Models Example
- 15 Model Serving on Databricks
- 16 Databricks Production-grade Model Serving
- 17 Databricks Model Serving Launch
