Fix/multiclass recall macro avg ignore index

[rittik9]

What does this PR do?

Fixes #2441

Details

• Was this discussed/agreed via a Github issue? (no need for typos and docs improvements)
• Did you read the contributor guideline, Pull Request section?
• Did you make sure to update the docs?
• Did you write any new necessary tests?

Did you have fun?

Yes

Issue:

• The root of the problem seems to be that the ignore_index information is not being properly propagated to the final averaging step i.e. the _adjust_weights_safe_divide function doesn't know that which class should be ignored.

Solution:

• To address this issue, I updated the code to ensure that the ignore_index information is preserved throughout the entire process, making sure it is correctly passed through all intermediate steps up to the final averaging stage i.e. _adjust_weights_safe_divide function .
• Updated the _adjust_weights_safe_divide function to accept an additional ignore_index parameter, which is passed through the _precision_recall_reduce function, called in the compute method of the MulticlassRecall class. This change adjusts the weights in the _adjust_weights_safe_divide function, setting the weight of the ignored class to 0.

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📚 Documentation preview 📚: https://torchmetrics--2710.org.readthedocs.build/en/2710/

[Borda]

looks good, can we add also test for this case...

[rittik9]

looks good, can we add also test for this case...

Sure

pending on adding test

[rittik9]

@Borda What do I have to modify?

[Borda]

@rittik9 mind checking the changed docstest values and whether it is correct?