RFE/RFECV are not only feature selectors (SelectorMixin) but also classifiers/regressors (MetaEstimatorMixin), though ELI5 explain_weights doesn't support them as classifiers/regressors. The final fit of an RFE/RFECV object is a fitted estimator with either rfe.estimator_.coef_ or rfe.estimator_.feature_importances_ and in sklearn you do not usually follow up RFE/RFECV with another classifier

Since all the inspections now have up-to-date metadata, which is accessible from the code, we can automate generating documentation that could replace the
inspections section in the readme file https://github.com/sksamuel/scapegoat#inspections.

Probably a separate markdown page that could be linked from the readme would be the easiest thing to start with.

Users should be able to hover a ? hint and see a description of the annotation.

Implement this for the BASE_STYLE annotation.

Overview

This issue contains CLI improvements

Tasks

• support headers options
• support granular check options
• support providing validation config instead of options (like stringified json)

My guess would be:

goodtables --checks "{'duplicate-row': True}" datapackage datapackage.json 

But it returns:

goodtables.exceptions.GoodtablesE

https://github.com/celery/django-celery is deprecated and it is also an unnecessary dependency.

We can redo the active_status endpoint without django-celery but using https://github.com/jezdez/django-celery-monitor/

So the new code would be added here: https://github.com/psychok7/django-celery-inspect/blob/master/celery_inspect/api/viewsets.py#L29 and it would instead import from:

`from