Significant string changes:
* hidegrader_help,mod_assign - note about setting having no effect on
comments box
* configdefaultrequestcategory, configenablecourserequests,
configlockrequestcategory, lockrequestcategory, core_admin - clearer
explanation
* configenablecompletion,core_completion - including reason for setting
activity completion conditions
* emailstop,core - clearer wording
* setuplink_desc,tool_mobile - including where the app download page
link is displayed and leaving the setting empty
- More feedback provided for the user once they click on useful/notuseful from the email.
- Replace the indicator calculations table headers for the table caption and
replace the text by just "Indicators"
- Replace "System" for the site name for insights generated at system
level
- Replace "$modelname prediction" for "$modelname" in report/insights/prediction.php
heading
MDL-66091
Some language strings have been reworded to clarify functionalities.
AMOS BEGIN
MOV [getpredictionsresults,tool_analytics],[scheduledanalysisresults,tool_analytics]
CPY [getpredictionsresultscli,tool_analytics],[scheduledanalysisresultscli,tool_analytics]
AMOS END
Significant string changes:
* multiple strings in core_hub - 'Publish' changed to 'Share' plus other
wording improvements to avoid misunderstandings
* errorretrievingkey in message_airnotifier - improved wording and
removing reference to Moodle.org
* enddate_help and courseduration_desc in core - clearer wording
explaining what the date actually does
* restore:viewautomatedfilearea in core_role - changing wording to match
the behaviour
* dropzones_help in qtype_ddmarker - improved wording
* autologinkeygenerationlockout in tool_mobile - updated error message
* configallowemailaddresses in core_admin - clearer description
* subscriptionmode_helpin mod_forum - removing misleading sentence about
subscription mode changes not affecting existing users
- 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
