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ultralytics 8.0.97 confusion matrix, windows, docs updates (#2511)

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Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
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docs/usage/hyperparameter_tuning.md
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---
comments: true
description: Discover how to integrate hyperparameter tuning with Ray Tune and Ultralytics YOLOv8. Speed up the tuning process and optimize your model's performance.
---
# Hyperparameter Tuning with Ray Tune and YOLOv8
@ -10,7 +11,7 @@ Hyperparameter tuning (or hyperparameter optimization) is the process of determi
[Ultralytics](https://ultralytics.com) YOLOv8 integrates hyperparameter tuning with Ray Tune, allowing you to easily optimize your YOLOv8 model's hyperparameters. By using Ray Tune, you can leverage advanced search algorithms, parallelism, and early stopping to speed up the tuning process and achieve better model performance.
### Ray Tune
### Ray Tune
<div align="center">
<a href="https://docs.ray.io/en/latest/tune/index.html" target="_blank">
@ -88,7 +89,6 @@ The following table lists the default search space parameters for hyperparameter
| mixup | `tune.uniform(0.0, 1.0)` | Mixup augmentation probability |
| copy_paste | `tune.uniform(0.0, 1.0)` | Copy-paste augmentation probability |
## Custom Search Space Example
In this example, we demonstrate how to use a custom search space for hyperparameter tuning with Ray Tune and YOLOv8. By providing a custom search space, you can focus the tuning process on specific hyperparameters of interest.