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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-08-30 05:52:10 +05:00 • committed by GitHub
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docs/en/integrations/mlflow.md
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@ -6,7 +6,7 @@ keywords: MLflow, Ultralytics YOLO, machine learning, experiment tracking, metri
# MLflow Integration for Ultralytics YOLO
<img width="1024" src="https://user-images.githubusercontent.com/26833433/274929143-05e37e72-c355-44be-a842-b358592340b7.png" alt="MLflow ecosystem">
<img width="1024" src="https://github.com/ultralytics/docs/releases/download/0/mlflow-integration-ultralytics-yolo.avif" alt="MLflow ecosystem">
## Introduction
@ -102,9 +102,9 @@ The logging is taken care of by the `on_pretrain_routine_end`, `on_fit_epoch_end
1. **Logging Custom Metrics**: You can add custom metrics to be logged by modifying the `trainer.metrics` dictionary before `on_fit_epoch_end` is called.
2. **View Experiment**: To view your logs, navigate to your MLflow server (usually http://127.0.0.1:5000) and select your experiment and run. <img width="1024" src="https://user-images.githubusercontent.com/26833433/274933329-3127aa8c-4491-48ea-81df-ed09a5837f2a.png" alt="YOLO MLflow Experiment">
2. **View Experiment**: To view your logs, navigate to your MLflow server (usually http://127.0.0.1:5000) and select your experiment and run. <img width="1024" src="https://github.com/ultralytics/docs/releases/download/0/yolo-mlflow-experiment.avif" alt="YOLO MLflow Experiment">
3. **View Run**: Runs are individual models inside an experiment. Click on a Run and see the Run details, including uploaded artifacts and model weights. <img width="1024" src="https://user-images.githubusercontent.com/26833433/274933337-ac61371c-2867-4099-a733-147a2583b3de.png" alt="YOLO MLflow Run">
3. **View Run**: Runs are individual models inside an experiment. Click on a Run and see the Run details, including uploaded artifacts and model weights. <img width="1024" src="https://github.com/ultralytics/docs/releases/download/0/yolo-mlflow-run.avif" alt="YOLO MLflow Run">
## Disabling MLflow