Why are my MLflow results not showing up in the Experiment UI view?

[Robbie]

The issue:

None of my MLflow experiment results show up in the Experiment UI.

 

Context:

I encountered this issue recently, despite having successfully used the MLFlow UI for the past few weeks.

Note: I can still access the experiment runs in a notebook, even though I can't see them in the UI view.

 

[Kaniz_Fatma]

Hi @Robbie Capps​,

All MLflow runs are logged to the active experiment, which can be set using any of the following ways:

• Use the MLflow.set_experiment() command.
• Use the experiment_id parameter in the mlflow.start_run() command.
• Set one of the MLflow environment variables MLFLOW_EXPERIMENT_NAME or MLFLOW_EXPERIMENT_ID.

[Robbie]

@KanizFatma,
Thanks but this doesn’t address the issue— the runs are being logged to the experiment correctly.
As I confirmed in the question, I can access the runs via the API… the results just no longer appear in the browser UI.

[GGajardo]

I have the exact same problem, did you manage to solved it?

[Kumaran]

Hi @Robbie,

Thank you for posting your question in the Databricks community.

Ensure that you are logging runs correctly using mlflow.start_run(), and that all relevant metrics and artifacts are being logged with the correct parameters.

Please check.

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