如何在Amazon SageMaker Notebook中访问MLflow Web UI？本地地址失效求助

I get it, that 127.0.0.1:5000 not loading is frustrating—here's why it's happening and how to fix it quickly:

The problem is your SageMaker Notebook runs on a remote AWS instance, so 127.0.0.1 points to the instance's local loopback, not your own machine's. Your browser can't reach that private address directly. Let's go through two reliable solutions:

Option 1: Use SageMaker's Proxy (Easiest for Most Users) #

SageMaker has a built-in proxy system that lets you access services running on the instance via your notebook's URL. Here's how:

1. Start MLflow UI with the correct host binding
   In your notebook cell, run this command instead of just mlflow ui:

   !mlflow ui --host 0.0.0.0 --port 5000
   

   You'll see logs confirming it's listening on 0.0.0.0:5000 (instead of only the instance's localhost):

   [2019-04-09 11:15:52 +0000] [17980] [INFO] Listening at: http://0.0.0.0:5000 (17980)

2. Build your access URL
   SageMaker's proxy URL follows this pattern:

   https://<your-notebook-instance-name>.notebook.<aws-region>.sagemaker.aws/proxy/5000/
   

   For example, if your instance is named ml-experiment-notebook and you're in us-west-2, the URL would be:

   https://ml-experiment-notebook.notebook.us-west-2.sagemaker.aws/proxy/5000/
   

   Paste this into your browser, and you'll see the MLflow UI load up.

Option 2: SSH Port Forwarding (For Users with SSH Access) #

If you have SSH access to your SageMaker instance (using an EC2 key pair), you can forward the instance's 5000 port to your local machine:

1. Start MLflow on the instance (default host is fine here):

   !mlflow ui --port 5000
   

2. Run this SSH command on your local terminal (replace placeholders with your details):

   ssh -i /path/to/your-key.pem -L 5000:127.0.0.1:5000 ec2-user@<instance-public-ip>
   

   Once the SSH connection is active, you can open http://127.0.0.1:5000 in your local browser to access MLflow.

Option 1 is the go-to for most SageMaker users since it works directly through the notebook's web interface without extra setup.

内容的提问来源于stack exchange，提问作者emiliew