- Take the code from the previous video
- Train another model, register with MLflow
- Put the model into a scikit-learn pipeline
- Model deployment with tracking server
- Model deployment without the tracking server
web-service-mlflow
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|
parent directory.. | ||||