Set run description programmatically in mlflow

There are two ways to set the description.

1. description parameter

You can set a description using a markdown string for your run in mlflow.start_run() using description parameter. Here is an example.

if __name__ == "__main__":
    # load dataset and other stuff

    run_description = """
### Header
This is a test **Bold**, *italic*, ~~strikethrough~~ text.
[And this is an example hayperlink](http://example.com/).
    """

    with mlflow.start_run(description=run_description) as run:
        # train model and other stuff

2. mlflow.note.content tag

You can set/edit run names by setting the tag with the key mlflow.note.content, which is what the UI (currently) does under the hood.

if __name__ == "__main__":
    # load dataset and other stuff

    run_description = """
### Header
This is a test **Bold**, *italic*, ~~strikethrough~~ text.
[And this is an example hayperlink](http://example.com/).
    """

    tags = {
        'mlflow.note.content': run_description
    }

    with mlflow.start_run(tags=tags) as run:
        # train model and other stuff

Result

If you set description parameter and mlflow.note.content tag in mlflow.start_run(), you’ll get this error.

Description is already set via the tag mlflow.note.content in tags.
Remove the key mlflow.note.content from the tags or omit the description.