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If one tries to log to a deleted MLFlow experiment, (e.g. you delete the experiment in the MLFlow UI, go on holidays, come back renewed and refreshed and are greeted by your previously working code no longer working), Lightning throws a ResponseError('too many 500 error responses').
I will create a PR with a proposed simple fix.
What version are you seeing the problem on?
v2.5
How to reproduce the bug
Error messages and logs
mlflow.exceptions.MlflowException: API request to http://localhost:5000/api/2.0/mlflow/runs/create failed with exception HTTPConnectionPool(host='localhost', port=5000): Max retries exceeded with url: /api/2.0/mlflow/runs/create (Caused by ResponseError('too many 500 error responses'))
Environment
Current environment
#- PyTorch Lightning Version (e.g., 2.5.0):
#- PyTorch Version (e.g., 2.5):
#- Python version (e.g., 3.12):
#- OS (e.g., Linux):
#- CUDA/cuDNN version:
#- GPU models and configuration:
#- How you installed Lightning(`conda`, `pip`, source):
More info
No response
The text was updated successfully, but these errors were encountered:
Bug description
If one tries to log to a deleted MLFlow experiment, (e.g. you delete the experiment in the MLFlow UI, go on holidays, come back renewed and refreshed and are greeted by your previously working code no longer working), Lightning throws a ResponseError('too many 500 error responses').
I will create a PR with a proposed simple fix.
What version are you seeing the problem on?
v2.5
How to reproduce the bug
Error messages and logs
Environment
Current environment
More info
No response
The text was updated successfully, but these errors were encountered: