Two years after I wrote the article on how to set up the Python machine learning backend for Moodle Analytics and I got a comment that the method I described does not work anymore because the Python version has changed and the new moodlemlbackend 3.0.5 requires new Python libs. So here are the new steps […]
After evaluating a model you will get the following message in Moodle: Launch TensorBoard from command line by typing: tensorboard –logdir=’/path_to_your_moodledata/models/4/1566208427/evaluation/coreanalyticstime_splittingquarters/logs/1566583192278/tensor’ Installing moodlemlbackend is a prerequisite to view the model results. Read this quick guide on how to setup the prerequisites. The moodlemlbackend package comes with an older version of TensorFlow package which contains a […]
Once the Python Machine Learning Backend has been installed on the server, it is time to change the Moodle settings for better analytics. Here are the steps.
UPDATE: the guide for moodlemlbackend 3.0.5 with Python 3.6 can be found in this article: Moodle Analytics – Part 1. – Setting up the Python Machine Learning Backend in cPanel – Reloaded Moodle Analytics machine learning models were introduced in Moodle 3.7.Moodle currently supports two predictions processors: PHP machine learning backend which comes with the […]