to fix it, I excluded this var entirely from the docker-compose

the level of configurability in this thing is one of the best I've seen

it is the location of the repo

TimelyPenguin76 , this can safely be set to s3:// right?

but nowhere in the docs does it say anything about the permissions for the IAM

Now I see the watermarks are 2gb

I'll anonimyze it and paste it in a sec

SuccessfulKoala55

actually i was thinking about model that werent trained uaing clearml, like pretrained models etc

Manual model registration?

Where is the docker-compose file? It's not at /opt (again, I didn't place it anywhere, I'm just using the ami)

you want to see its contents?

not manually I assume that if I deleted the image, and then docker-composed up, and I can see the pull working it should pull the correct one

I was here, but I can't find info for the questions I mentioned

👍

Searched for "custom plotly" and "log plotly" in search, didn't thinkg about "report plotly"

The latest, I curl ed the docker-compose like 10 minutes ago

I'd go for

` from trains.utilities.pyhocon import ConfigFactory

config = ConfigFactory.parse_file(CONF_FILE_PATH) `

which permissions should it have? I would like to avoid full EC2 access if possible, and only choose the necessary permissions

oops m ybad

Happens on my incognito aswell

` name: XXXXXXXXXX

on:
workflow_dispatch

jobs:
test-monthly-predictions:
runs-on: self-hosted
env:
DATA_DIR: ${{ secrets.RUNNER_DATA_DIR }}
GOOGLE_APPLICATION_CREDENTIALS: ${{ secrets.RUNNER_CREDS }}
steps:
# Checkout
- name: Check out repository code
uses: actions/checkout@v2

  # Setup python environment
  - name: Setup up python environment using Poetry
    run: |
      /home/elior/.poetry/bin/poetry env use python3.9
  ...

SuccessfulKoala55 ⬆ sorry for the delay, was at a meeting

when using the first checkout action, it goes checks out the repo

I also ran it without $(pwd) on the Create Clearml task templates section, I added it because of CostlyOstrich36 's comments but it didn't help

cluster.routing.allocation.disk.watermark.low:

The only way to change it is to convert apiserver_conf to a dictionary object ( as_plain_ordered_dict() ) and edit it

this?

whatttt? I looked at config_obj didn't find any set method

Another Q on that - does pyhocon allows me to edit the file while keeping the comments in place?