version = 2021052500 release version
requires= 2021052500 same than version
Why 20210525? (25th May 2021) ?
Because master is going to be Moodle 4.0, to be released
on November 2021. And, until then, we are going to have
a couple of "intermediate" releases:
- Moodle 3.10 to be released 9th November 2020. (2020110900)
This version will be using versions from today to 2020110900
(once it's released the YYYYMMDD part stops advancing).
- Moodle 3.11 to be released 10th May 2021. (2021051000)
This version will be using versions from 3.10 release to 2021051000
(once it's released the YYYYMMDD part stops advancing).
That means that all versions from today to 2021051000 are going
to be used by those 2 "intermediate" releases (3.10 and 3.11).
And we cannot use them in master, because it's forbidden to have
any overlapping of versions between branches (or different upgrade
paths will fail).
So, get that 2021051000, let's add it a couple of weeks to cover
the on-sync period (or a 2 weeks delay max!) and, the first version
that master can "own" in exclusive (without any overlap) is, exactly,
25th May 2021, hence our 20210525.
- Basic unit test for minimum machine learning backends requirements
- Warning return messages now include not enough data
- Clear models when the predictions processor is changed
- Refined the name of a couple of constants / methods
- 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
- Split model::predict in parts
- JS promises updated according to eslint-plugin-promise
- New API methods replacing direct DB queries
- Reduce insights nav link display cost
- Increase time limit as well as memory for big processes
- Move prediction action event to core
- Dataset write locking and others
- Refine last time range end time
- Removed dodgy splitting method id to int
- Replace admin_setting_predictor output_html overwrite for write_setting overwrite
- New APIs for access control
- Discard invalid samples also during prediction
