MLPanel Examples

Examples Documentation: MLPanel examples

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Examples

Example 1 - Local project with Jupyter Notebook

• run train pipeline and track metrics in Jupyter Notebook
• create Prokect, Experiment, local Deployment
• track metrics and compare experiment Runs
• register model to Model Register and 1-click-deploy
• API request to get predictions

Folder: example-1-local-project-jupyter/

Run instructions

Example 2 - Local project with .py pipelines

• run train pipeline and track metrics in Jupyter Notebook
• create Project, Experiment, local Deployment
• track metrics and compare experiment Runs
• register model to Model Register
• 1-click-deploy (local)
• API request to get predictions

Folder: example-2-local-project-py/

Run instructions

Example 3 - Deploy model as web service with GCP

• config MLPanel to deploy on Google Cloud Platform (GCP)
• optional storing model metrics and artifacts on GCP
• 1-click-deploy on GCP
• API request to get predictions

Folder: example-3-local-project-gcp-storage

Run instructions