I followed the instructions <a href="https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/linux-dsvm-intro#jupyter-notebook" rel="nofollow">here</a>.
I am on the Ubuntu VM via SSH. I tried to access IP:8000 but Chrome says the Site can't be reached. Port 8000 is indeed open by default as mentioned in the docs.
Instructions don't mention if I have to start
jupyterhub so I tried that and got this error -
username@fastai:~ $ jupyterhub [I 2018-04-02 00:25:41.018 JupyterHub app:871] Writing cookie_secret to /home/username/jupyterhub_cookie_secret [I 2018-04-02 00:25:41.036 alembic.runtime.migration migration:117] Context impl SQLiteImpl. [I 2018-04-02 00:25:41.037 alembic.runtime.migration migration:122] Will assume non-transactional DDL. [I 2018-04-02 00:25:41.067 alembic.runtime.migration migration:327] Running stamp_revision -> 3ec6993fe20c [W 2018-04-02 00:25:41.388 JupyterHub app:955] No admin users, admin interface will be unavailable. [W 2018-04-02 00:25:41.389 JupyterHub app:956] Add any administrative users to `c.Authenticator.admin_users` in config. [I 2018-04-02 00:25:41.389 JupyterHub app:983] Not using whitelist. Any authenticated user will be allowed. [E 2018-04-02 00:25:41.414 JupyterHub app:1525] Failed to bind hub to http://127.0.0.1:8081/hub/ [E 2018-04-02 00:25:41.414 JupyterHub app:1623] Traceback (most recent call last): File "/anaconda/envs/py35/lib/python3.5/site-packages/jupyterhub/app.py", line 1621, in launch_instance_async yield self.start() File "/anaconda/envs/py35/lib/python3.5/site-packages/jupyterhub/app.py", line 1523, in start self.http_server.listen(self.hub_port, address=self.hub_ip) File "/anaconda/envs/py35/lib/python3.5/site-packages/tornado/tcpserver.py", line 142, in listen sockets = bind_sockets(port, address=address) File "/anaconda/envs/py35/lib/python3.5/site-packages/tornado/netutil.py", line 197, in bind_sockets sock.bind(sockaddr) OSError: [Errno 98] Address already in use
Before I read about jupyterhub in the docs, I tried starting
jupyter notebook which gave me this error.
[C 04:00:12.963 NotebookApp] Bad config encountered during initialization: [C 04:00:12.963 NotebookApp] No such notebook dir: ''/dsvm/Notebooks''
It seemed to run fine after generating a config file using
jupyter notebook --generate-config and editing it but I still couldn't reach it via Chrome despite opening up all ports.
<strong>UPDATE</strong><br /> Today I installed an X2Go client and found the <a href="https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/dsvm-ubuntu-intro#jupyter-notebook" rel="nofollow">jupyter notebook icon</a> on the desktop but starting that threw this error - Failed to run Jupyter.desktop Failed to parse the desktop file: Key file contains line '/anaconda/pkgs/notebook-5.4.0-py27_0/info/icon.png' which is not a key-value pair, group, or comment
Looks like that file calls jupyter notebook which throws the same error as before.Answer1:
JupyterHub should be running on port 8000 at startup. Can you double-check its status with <em>systemctl status jupyterhub</em>? And have you double-checked in the portal that port 8000 is open?
If JupyterHub reports that it's running and listening on port 8000, there may be a firewall blocking the connection. Some users have had success with forwarding port 8000 over SSH in this case, then connecting to localhost:8000.Answer2:
This was caused by a bug which has since been fixed on the later versions of the Deep learning VM.
See <a href="https://github.com/MicrosoftDocs/azure-docs/issues/6811" rel="nofollow">this Github issue</a> for more details.