Preleminary work to ensure that default task (classification) will work smoothly.
Minimal implementation of label issue manager for regression
- issue_finder.py list_possible_issue_types, list_default_issue_types no longer a static methods as they depend on task and modification of get_available_issue_types for regression
* DataIssues with strategy pattern
- moving list_possible_issue_types and list_default_issue_types from the IssueFinder class to cleanlab/datalab/internal/issue_manager_factory.py
* make different strategies for getting available issue types
add test class for the IssueFinder when the task is regression
* apply black formatter
* avoid mapping labels column for regression in Datalab
* Pass in features to LabelIssueManager for regression
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Co-authored-by: Elías Snorrason <eliassno@gmail.com>
* clarify where quality is / isnt comparable
* clarify comparability of quality scores in docstrings
* tell user not to be worried if they dont understand info
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Co-authored-by: Elías Snorrason <eliassno@gmail.com>
Add a new method `Reporter.report()` with fewer restrictions. The existing `get_report()` method is a pure function that returns a string as output. The new `report()` method can have side-effects, such as printing the report.
docs(datalab): 🎨 fix indentation in docstring
docs(datalab): 📝 fix see-also block
docs(datalab): 📝 Set path of info return variable to DataIssues.get_info
Autodoc automatically links "info" to "`info <Datalab.info>`, which is not the expected output.
Elías Snorrason