Azure mlflow run id not found using python sdk azure ai ml v2

When working with Azure MLflow in Python, you may encounter a situation where the run ID is not found using the Python SDK for Azure AI ML v2. This can be frustrating, but there are several ways to solve this issue. In this article, we will explore three different solutions to help you overcome this problem.

Solution 1: Check the Run ID

The first step in troubleshooting this issue is to ensure that you are using the correct run ID. Double-check the run ID you are providing and make sure it matches the one associated with the MLflow run you are trying to access. It’s possible that a typo or incorrect ID is causing the problem.


run_id = "your_run_id_here"

Solution 2: Verify SDK Version

Another potential cause of the run ID not being found is an incompatible SDK version. Make sure you are using the latest version of the Azure AI ML v2 Python SDK. You can check the version by running the following code:


import azure.ai.machinelearning as ml

print(ml.__version__)

If the version is outdated, update it using the appropriate package manager, such as pip:


pip install --upgrade azure-ai-machinelearning

Solution 3: Verify Run Status

It’s possible that the run ID is not found because the MLflow run has already completed or does not exist. To verify the status of the run, you can use the following code:


from azure.ai.machinelearning import MLflowClient

client = MLflowClient()
run = client.get_run(run_id)

if run:
    print("Run ID found!")
else:
    print("Run ID not found.")

This code will check if the run ID exists and print the corresponding message. If the run ID is not found, you may need to create a new run or check if the run has completed.

After exploring these three solutions, it is evident that Solution 3 is the most comprehensive and reliable option. Verifying the run status using the MLflowClient ensures that the run ID is valid and provides additional information about the run. This approach helps to eliminate potential issues related to incorrect run IDs or outdated SDK versions.

By following these solutions, you should be able to resolve the issue of the Azure MLflow run ID not being found using the Python SDK for Azure AI ML v2. Remember to double-check the run ID, update the SDK version if necessary, and verify the run status to ensure a successful outcome.

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5 Responses

  1. Ive faced this issue before and Solution 2 worked like a charm for me. Anyone else had different experiences?

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