docs/en/reference/utils/callbacks/mlflow.md

metadata

description: >-
  Learn how to set up and customize MLflow logging for Ultralytics YOLO. Log
  metrics, parameters, and model artifacts easily.
keywords: >-
  MLflow, Ultralytics YOLO, logging, metrics, parameters, model artifacts,
  setup, tracking, customization

Reference for ultralytics/utils/callbacks/mlflow.py

!!! note

This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/mlflow.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/callbacks/mlflow.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/callbacks/mlflow.py) 🛠️. Thank you 🙏!

::: ultralytics.utils.callbacks.mlflow.sanitize_dict

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::: ultralytics.utils.callbacks.mlflow.on_pretrain_routine_end

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::: ultralytics.utils.callbacks.mlflow.on_train_epoch_end

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::: ultralytics.utils.callbacks.mlflow.on_fit_epoch_end

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::: ultralytics.utils.callbacks.mlflow.on_train_end