New site Install a new site Go to Site admin > Analytics > Analytics models Edit the students at risk model, set the predictions processor to "PHP machine learning backend" and save changes Go back to the edit form (from the models list page) and check that "PHP machine learning backend" is preselected (it was saved correctly), edit the field again and set it to "Default (PHP machine learning backend)" Go back to the edit form (from the models list page) and check that "Default (PHP machine learning backend)" is preselected Upgraded site Upgrade a moodle site to a version that includes this patch (integration master should be enough) Go to Site admin > Analytics > Analytics models Edit the students at risk model, set the predictions processor to "PHP machine learning backend" and save changes Go back to the edit form (from the models list page) and check that "PHP machine learning backend" is preselected (it was saved correctly), edit the field again and set it to "Default (PHP machine learning backend)" Go back to the edit form (from the models list page) and check that "Default (PHP machine learning backend)" is preselected Add the following as a new line in your config.php: $CFG->pathtopython = 'pythonWRONG'; (this is just to ensure that your no python stuff will work properly) Go back to the edit form (from the models list page) and check that Predictions processor DOES NOT include a "Python machine learning backend" option Update your recently added config.php line to: $CFG->pathtopython = 'python'; Follow https://docs.moodle.org/35/en/Analytics#Predictions_processor to install the python machine learning backend Go to Site admin > Analytics > Analytics models Edit the students at risk model, check that there is a "Python machine learning backend" option for predictions processor field, set the field to "Python machine learning backend" and save changes Go back to the edit form (from the models list page) and check that the preselected Predictions processor option is "Python machine learning backend"