- 4780 Views
- 5 replies
- 2 kudos
If I create a job from the web UI and I select Python wheel, I can add kwargs parameters. Judging from the generated JSON job description, they appear under a section named `namedParameters`.However, if I use the REST APIs to create a job, it appears...
- 4780 Views
- 5 replies
- 2 kudos
Latest Reply
@GabrieleMuciacc , in case of serverless compute job this can be pass as external dependency you can't use libraries. "tasks": [{ "task_key": task_id, "spark_python_task": { "python_file": py_file, ...
4 More Replies
- 3954 Views
- 2 replies
- 0 kudos
In an init script or a notebook, we can:pip install --index-url=<our private pypi url> --extra-index-url=https://pypi.org/simple <a module>In the cluster web UI (libraries -> install library), we can give only the url of our private repository, but n...
- 3954 Views
- 2 replies
- 0 kudos
Latest Reply
Hi @Philippe CRAVE Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answer...
1 More Replies
- 2189 Views
- 1 replies
- 0 kudos
I have a use case in mlflow with python code to find a model version that has the best metric (for instance, “accuracy”) among so many versions , I don't want to use web ui but to use python code to achieve this. Any Idea?
- 2189 Views
- 1 replies
- 0 kudos
Latest Reply
import mlflow
client = mlflow.tracking.MlflowClient()
runs = client.search_runs("my_experiment_id", "", order_by=["metrics.rmse DESC"], max_results=1)
best_run = runs[0]https://mlflow.org/docs/latest/python_api/mlflow.tracking.html#mlflow.tracking.M...
