Repository: pytorch/ignite

Issue:
Docs test issue with roc_auc
Docs test issue with roc_auc, probably related to the new scikit-learn release:
```
File "../../ignite/contrib/metrics/roc_auc.py", line ?, in default
Failed example:
    roc_auc = RocCurve()
    #The ``output_transform`` arg of the metric can be used to perform a sigmoid on the ``y_pred``.
    roc_auc.attach(default_evaluator, 'roc_auc')
    y_pred = torch.tensor([0.0474, 0.5987, 0.7109, 0.9997])
    y_true = torch.tensor([0, 0, 1, 0])
    state = default_evaluator.run([[y_pred, y_true]])
    print("FPR", [round(i, 3) for i in state.metrics['roc_auc'][0].tolist()])
    print("TPR", [round(i, 3) for i in state.metrics['roc_auc'][1].tolist()])
    print("Thresholds", [round(i, 3) for i in state.metrics['roc_auc'][2].tolist()])
Expected:
    FPR [0.0, 0.333, 0.333, 1.0]
    TPR [0.0, 0.0, 1.0, 1.0]
    Thresholds [2.0, 1.0, 0.711, 0.047]
Got:
    FPR [0.0, 0.333, 0.333, 1.0]
    TPR [0.0, 0.0, 1.0, 1.0]
    Thresholds [inf, 1.0, 0.711, 0.047]
5 items passed all tests:
   1 tests in 1
   1 tests in 2
   1 tests in 3
   1 tests in 4
   1 tests in 5
**********************************************************************
1 items had failures:
   1 of   2 in default
7 tests in 6 items.
6 passed and 1 failed.
***Test Failed*** 1 failures.
```


Discussion:
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---
## Step 1: 🔍 Code Search
I found the following snippets in your repository. I will now analyze this snippets and come up with a plan.


<details>
  <summary>Some code snippets I looked at (click to expand). If some file is missing from here, you can mention the path in the ticket description.</summary>

  https://github.com/pytorch/ignite/blob/35a2da3993cd32b17bf43b15705eaed4b97133ef/ignite/contrib/metrics/roc_auc.py#L1-L185

https://github.com/pytorch/ignite/blob/35a2da3993cd32b17bf43b15705eaed4b97133ef/tests/ignite/contrib/metrics/test_roc_auc.py#L1-L245

https://github.com/pytorch/ignite/blob/35a2da3993cd32b17bf43b15705eaed4b97133ef/tests/ignite/contrib/metrics/test_roc_curve.py#L1-L172

https://github.com/pytorch/ignite/blob/35a2da3993cd32b17bf43b15705eaed4b97133ef/tests/ignite/contrib/metrics/test_roc_auc.py#L168-L298

https://github.com/pytorch/ignite/blob/35a2da3993cd32b17bf43b15705eaed4b97133ef/tests/ignite/metrics/test_metric.py#L1-L101

</details>


---
## Step 2: 🧐 Snippet Analysis
From looking through the relevant snippets, I decided to make the following modifications:

| File Path                           | Proposed Changes                                                                                                                                                                                                                                    |
|:------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `ignite/contrib/metrics/roc_auc.py` | Update the expected output of the test case in the documentation of the `RocCurve` class to match the actual output of the `roc_curve` function from `sklearn.metrics`. The expected output of the thresholds should be `[inf, 1.0, 0.711, 0.047]`. |



---
## Step 3: 📝 Planning
I have created a plan for writing the pull request. I am now working on executing my plan and coding the required changes to address this issue. Here is the planned pull request:

**Fix expected output in RocCurve documentation test case**
`sweep/fix-roc-curve-doc-test`
>**Description:**
>This PR fixes the expected output in the documentation test case for the `RocCurve` class in the `roc_auc.py` file. The current expected output does not match the actual output due to a change in the behavior of the `roc_curve` function from the `sklearn.metrics` module.
>
>**Changes Made:**
>- Updated the expected output in the documentation test case to match the actual output of the `roc_curve` function.
>
>**Testing:**
>- Ran the affected test case and verified that the expected output now matches the actual output.
>
>**Related Issue:**
>- Fixes #2985
>
>**PR Checklist:**
>- [ ] Tests have been added or updated to cover the changes
>- [ ] Documentation has been updated to reflect the changes
>- [ ] Code follows the project's code style and conventions
>- [ ] Commits are properly formatted and messages are descriptive


---
## Step 4: ⌨️ Coding
I have finished coding the issue. I am now reviewing it for completeness.

---
## Step 5: 🔁 Code Review
Success! 🚀

---
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Resolving patch:
diff --git a/ignite/contrib/metrics/roc_auc.py b/ignite/contrib/metrics/roc_auc.py
--- a/ignite/contrib/metrics/roc_auc.py
+++ b/ignite/contrib/metrics/roc_auc.py
@@ -139,7 +139,7 @@ def sigmoid_output_transform(output):
 
             FPR [0.0, 0.333, 0.333, 1.0]
             TPR [0.0, 0.0, 1.0, 1.0]
-            Thresholds [2.0, 1.0, 0.711, 0.047]
+            Thresholds [inf, 1.0, 0.711, 0.047]
 
     ..  versionchanged:: 0.4.11
         added `device` argument


Test patch: