- Add jupyter_launcher.sh script to start Jupyter with ML tools - Create cli_integration.py helper for CLI operations - Add sample notebook structure for experiments - Create workflow documentation for seamless data science integration
4 lines
359 B
Bash
Executable file
4 lines
359 B
Bash
Executable file
#!/bin/bash
|
|
echo "Starting Jupyter with ML tools..."
|
|
podman run -d -p 8888:8888 --name ml-jupyter -v "$(pwd)/workspace:/workspace:Z" --entrypoint conda localhost/ml-tools-runner run -n ml_env jupyter notebook --no-browser --ip=0.0.0.0 --port=8888 --NotebookApp.token="" --NotebookApp.password="" --allow-root
|
|
echo "Jupyter available at http://localhost:8888"
|