mlflow server dont start up on local window
I have mlflow installed on the virtual environment on the Windows machine. When I tried to start up a server by "mlflow ui", it ran on the local server and the port was opened but I saw "something went wrong" on the website and "WARNING:waitress.queue:Task queue depth is 1" on log
How to logout or signout of the model ui?
I’m having a bit of a headache with the MLflow UI. So, I logged into the MLflow tracking website earlier, and now I can’t seem to properly log out. It’s driving me nuts!
I’ve tried all sorts of things. First, I just closed the browser thinking that would do the trick. Nope, still remembered me when I opened it back up. Then I thought, “Okay, maybe a hard reload will sort this out.” But no dice there either.
There is data but MLflow Recipe throws “Input data must not be empty” error
As in jupyter notebook shows, I have run r.run("split") and suppose the data processing started and returned new df that I wanted to use in training. However, when I run r.run("train"), I am facing with mlflow.exceptions.MlflowException: Error has occurred during training of AutoML model using FLAML: AssertionError('Input data must not be empty.') error. Below you can see my yaml files
How do I compare two runs by metric-over-time, not just a single metric value?
I have my MLflow runs set up to log train/val loss regularly, like this:
Cannot load model from model registry in MLFlow by raise different directory
I attempted to load the model from model registry but failed. Here is the details.
502 Bad Gateway Error Message on MLFlow Server on EC2 with S3 Backend
For all practical purposes, my MLFlow Server appears to be functioning as expected. I dont see any issue with accessing the server, or any of the artifacts within experiments.