Even the Unfinished Experiment in Mlflow is getting saved as finished

User16826994223
Databricks Employee
Databricks Employee

‎06-25-2021 06:36 AM

when I start the experiment with mlflow.start_run(),even if my script is interrupted or failed before executing mlflow.end_run() ,the run gets tagged as finished instead of unfinished , Can any one help why it is happening here

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User16826994223
Databricks Employee
Databricks Employee

‎06-25-2021 06:36 AM

In note book the mlflow tagas ias the command travels and once failed or exit there itself it logs and finishes the experiment even if the noteboolsfails. However, if you want to continue logging metrics or artifacts to that run, you just need to use 

mlflow.start_run(run_id="YourRunIDYouCanGetItFromUI")

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