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- Open tab "Pipeline"
- Select pipeline step
- Download: download remote data and ingest into db (e.g SWPC, typically maintained by FHNW)
- Feature extraction: extract features and ingest into property_database (e.g. SMART)
- Machine learning (training)
- Machine learning (execution)
- Visualisation (experimental): algorithms to visualise data.
- Select algorithm to run
- "Setup new instance"
- Modify input parameters (if needed, please note that modifications will not be persisted over multiple sessions)
- "Run new instance"
Intermezzo: add existing algorithm container
...
to infrastructure
swpcimport is useful to download SWPC data to your local system
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OS X: Open Kitematic Click: Containers: "+ New" Type "flarecast" in search box Select "swpcimport" - Create --> This will automatically install and execute SWPC-import on your local system |
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Use this commands if a new algorithm container gets added to the FLARECAST Docker hub infrastructure
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# search flarecast images/containers online
> docker search flarecast
# list installed images/containers
> docker images
# list running containers
> docker ps
# pull a new container from the Docker hub
> docker pull flarecast/swpcimport
# Reload to the FLARECAST pipeline management console in your browser
# Follow previous section to execute the new container |