02. Setting Up MLflow Experiments To a Remote Server | DagsHub | MLOps
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- Опубліковано 19 сер 2024
- Code : github.com/ent...
In this video, we will set up MLflow experiments to a remote server which is dagshub.
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Hey bappy, this is tanmay. Nice video buddy go ahead with his kind of approach
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Thank you Sir
hi, I want to see my previous experiments on another PC . Do I have to follow the same procedure or is there any other way? please reply🙏🙏
Thank you☺🙏
Hi sir I have mailed you about an error please check.
Thank you, sir. Currently, I can only share my experiment results with others through dagshub repo but not dagshub mlflow server, is there any way to manage that? Or how do you share your exp?
Do you know how to resolve this error?
MlflowException: API request to endpoint /api/2.0/mlflow/runs/create failed with error code 403 != 200. Response body: ''
I came across with the same error, create a new token/password in dagshub and export it in the git bash then run the code.
Hi Bappy, please help me out on this, I followed this and ran into this problem. My dagshub does not give a tracking url, instead this :import dagshub
dagshub.init(repo_owner='byname', repo_name='repo_name', mlflow=True)
import mlflow
with mlflow.start_run():
mlflow.log_param('parameter name', 'value')
mlflow.log_metric('metric name', 1)