[FutureWarn] Fix FutureWarning in `TAHIN` example.

dmlc / dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

http://dgl.ai

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[FutureWarn] Fix FutureWarning in `TAHIN` example. #7418

Closed drivanov closed 1 month ago

drivanov commented 1 month ago

Description

The following FutureWarning is fixed:

/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:2910: FutureWarning: Setting the eps 
parameter is deprecated and will be removed in 1.5. Instead eps will always havea default value 
of `np.finfo(y_pred.dtype).eps`.
  warnings.warn(

I performed some minor cleanup on the utils.py file.

Checklist

Please feel free to remove inapplicable items for your PR.

[x] The PR title starts with [$CATEGORY] (such as [NN], [Model], [Doc], [Feature]])
[x] I've leverage the tools to beautify the python and c++ code.
[x] The PR is complete and small, read the Google eng practice (CL equals to PR) to understand more about small PR. In DGL, we consider PRs with less than 200 lines of core code change are small (example, test and documentation could be exempted).
[x] To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change

Changes

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