Base function to check if the model is a clusterer (analogous to base.is_classifier() and base.is_regressor())?

[aoot]

According to the note on figuring out the model type, it is recommended to use sklearn.base.is_classifier() or sklearn.base.is_regressor() function to check instead of of checking the attribute _estimator_type directly.

However, since the attribute _estimator_type can be either "classifier", "regressor", and "clusterer", are there any base function such as sklearn.base.is_clusterer() to check if the model is a clusterer?

Thanks for your input!

[ChVeen]

If one employs git grep to browse the repository, one finds a lot for is_classifier:

$ git grep -E "( |\.)is_classifier"
doc/developers/develop.rst:like :func:`base.is_classifier` should be used.
doc/glossary.rst:                checked by way of a helper such as :func:`base.is_classifier`.
doc/glossary.rst:        :func:`~base.is_classifier`.
doc/glossary.rst:          is a classifier (determined by :func:`base.is_classifier`) and the
doc/modules/classes.rst:   base.is_classifier
sklearn/base.py:def is_classifier(estimator):
...

but nothing for is_clusterer:

$ git grep -E "( |\.)is_clusterer"

There is no corresponding function for clusterer.
I'm afraid, you need to add your own function for this inspired by base.is_classifier() like maybe:

def is_clusterer(estimator):
    return getattr(estimator, "_estimator_type", None) == "clusterer"

[aoot]

@ChVeen , love the answer! Thanks! I now also learned how to use git grep.