Uploaded image for project: 'Moodle'
  1. Moodle
  2. MDL-58984

Improve communication between machine learning backends and moodle

    XMLWordPrintable

Details

    • Improvement
    • Status: Open
    • Minor
    • Resolution: Unresolved
    • 3.4
    • None
    • Analytics
    • MOODLE_34_STABLE

    Description

      At the moment the way prediction processors (aka machine learning backends) can return data to moodle is quite limited, they return the accuracy, standard deviation of all evaluations and an 'info' array that is dumped into the log information screen.

      I think that using a generic 'info' array for general stuff is ok, but we should improve this. e.g. The tensorflow-based model returns a CLI command to view something like https://www.tensorflow.org/get_started/summaries_and_tensorboard.

      Attachments

        Issue Links

          Activity

            People

              Unassigned Unassigned
              dmonllao David Monllaó
              David Woloszyn, Huong Nguyen, Jake Dallimore, Michael Hawkins, Stevani Andolo
              Votes:
              0 Vote for this issue
              Watchers:
              0 Start watching this issue

              Dates

                Created:
                Updated: