Firstly - the list of roles to filter needs to be a combination of the assignable roles and the existing roles in the course.
Secondly - the auto-complete behat step needs to search for entire strings, not substrings.
We have a way to determine a valid zindex when adding things to a page. Find all the moodle-has-zindex things and
choose a value bigger all of them. This needs doing in javascript whenever a thing is opened. It's not possible to
fix generically in CSS (remember the historic z-index wars).
- Method names renamed to avoid interface changes once
we support regression and unsupervised learning
- Adding regressor interface even if not implemente
- predictor interface comments expanded
- Differentiate model's required accuracy from predictions quality
- Add missing get_callback_boundary call
- Updated datasets' metadata to allow 3rd parties to code
regressors themselves
- Add missing option to exception message
- Include target data into the dataset regardless of being a prediction
dataset or a training dataset
- Explicit in_array and array_search non-strict calls
- Overwrite discrete should_be_displayed implementation with the binary one
- Overwrite no_teacher get_display_value as it would otherwise look
wrong
- Other minor fixes
We want to avoid page jumps wherever possible. This change uses the original select element as a "proxy" to reserve the space
in the DOM for the enhanced auto-complete when the JS runs.
It uses visibility: hidden to make the select not rendered - but still take up space.
The exact sizing for the CSS was determined by testing and reverse engineering the bootstrap calculations.
The size of user pictures in selectors was reduced to avoid flicker when switching between no selection and a selected user. I
could have reserved a larger amount of space, but it looks worse for pickers with no pictures.
If a malformed value was passed, it may be that we can still display it.
We should not assume that, if a string is not passed, that we are
dealing with a promise.
This was supposed to be split into multiple commits to make it easier to understand
but I failed to do it properly. So this is the list of changes:
- New analytics_indicator_calc db table to store indicators calculations
- Reuse previous calculations during prediction/training; other models
previous calculations should also be reused as long as they belong to
the same sample (sampleid depends on sampleorigin), time range and indicator
- Allow bulk inserting of these calculations as this can hurt database performance
- Block the same analysable to be analysed for training and for prediction
- Use a new instance of the target and use it for is_valid_* functions
as using ::is_valid_sample can lead to problems if people
uses it to cache stuff
Shows a text warning in the manage files plugin window when an editor
has set the 'removeorphaneddrafts' option to true. The text tells the
user that unused files will be automatically deleted on save.
text areas can now specify $options['removeorphaneddrafts'] when saving
their data using file_postupdate_standard_editor(). If set to true,
this option clears all user drafts which are not referenced in the text
