I am running MLflow with several users can instanciate experiments.
Is there any way to override user_id which is set to system username?
Looking for a solution which works with start_run block.
Any ideas?
with mlflow.start_run():
start_run
doesn't support user_id
as argument, and its kwargs are actually Run tags, so you need to work with other functions.
In order to do what you need, you have to create for yourself the run from a FileStore
object, then wrap this new run
inside an ActiveRun
wrapper, that after the with-block will automatically finish the run passed as argument.
The code should look like this.
import time
import mlflow
from mlflow import ActiveRun
from mlflow.store.tracking.file_store import FileStore
now = int(time.time() * 1000) # mlflow default when start_time is None
fs = FileStore()
run = fs.create_run(
experiment_id = None, # defaults to "0"
user_id = "your_user_id", # your actual user-id
start_time = now,
tags = {},
)
with ActiveRun(run) as arun:
...
# after with block, run is finished
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