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ultralytics 8.0.141 create new SettingsManager (#3790)

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Glenn Jocher 2023-07-23 16:03:34 +02:00 • committed by GitHub
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docs/usage/hyperparameter_tuning.md
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@ -29,7 +29,7 @@ To install the required packages, run:
!!! tip "Installation"
```bash
# Install and update Ultralytics and Ray Tune pacakges
# Install and update Ultralytics and Ray Tune packages
pip install -U ultralytics 'ray[tune]'
# Optionally install W&B for logging
@ -99,7 +99,7 @@ In this example, we demonstrate how to use a custom search space for hyperparame
```python
from ultralytics import YOLO
# Define a YOLO model
# Define a YOLO model
model = YOLO("yolov8n.pt")
# Run Ray Tune on the model
@ -166,4 +166,4 @@ plt.show()
In this documentation, we covered common workflows to analyze the results of experiments run with Ray Tune using Ultralytics. The key steps include loading the experiment results from a directory, performing basic experiment-level and trial-level analysis and plotting metrics.
Explore further by looking into Ray Tune’s [Analyze Results](https://docs.ray.io/en/latest/tune/examples/tune_analyze_results.html) docs page to get the most out of your hyperparameter tuning experiments.
Explore further by looking into Ray Tune’s [Analyze Results](https://docs.ray.io/en/latest/tune/examples/tune_analyze_results.html) docs page to get the most out of your hyperparameter tuning experiments.