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Warning
titleUnder construction

This page is under construction. Do not trust it until this box is removed (smile).

Note

In current setup any request to HMI data will transparently load data from JSOC. This may take a while for large time ranges.

Startup Infrastructure

Info
titleOn OS X
  1. Run "/Applications/Docker/Kitematic (Beta)"
  2. Click "Docker CLI" on the lower right side to open a terminal.

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Start new instance of an Algorithm (Pipeline)

  1. Open tab "Pipeline"
  2. 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.
  3. Select algorithm to run
  4. "Setup new instance"
  5. Modify input parameters (if needed, please note that modifications will not be persisted over multiple sessions)
  6. "Run new instance"

 

Intermezzo: add existing algorithm container (e.g. swpcimport) to infrastructure

swpcimport is useful to download SWPC data to your local system

Info
titleOn OS X

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

Info
titleOn Linux or OS X
  1. > docker pull flarecast/swpcimport
  2. Reload FLARECAST pipeline management console in your browser
  3. Follow previous section