See for instance #8101 (comment)

Looks like a feasible first contribution, I'd like to look into this. @jnothman Could you please help me on how to start and the files associated . Thanks

Thanks. Perhaps take a look at the common tests for classification and regression metrics at sklearn/metrics/test_common.py.

@jnothman okay . Thanks

I think I understand what needs to be done. Is there any functions other than checking invariance of the metrics in cluster and seeing if values reduce with less perfect clustering?

@jnothman I have written the code .Could you please check if I am going in the right directions and are there any more tests that need to be added? How do I run the test file on my laptop. When I run it on spyder it gives no output.

https://github.com/anki08/scikit-learn/blob/d4875f4a862a2fabf07d1e71b6f37f1bc6a88779/test_file.py

nosetests sklearn/test_file.py. However, I'd like it, ASAP, moved to sklearn/metrics/cluster/tests/test_common.py, pushed to a branch, and a pull request made. That way our continuous integration framework can test it and it can be reviewed.

and thank you, @anki08. At a very basic glance, this looks like it's heading in the right direction.