only string

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

I dont think that has to do anything with the value zero, the lines that should come out of 'mean' and 'median' have the value of None under quantile, but have a dre_0.5 assoxiated with them. those lines appear in the notebook and not in the ui

` alabaster==0.7.12
appdirs==1.4.4
apturl==0.5.2
attrs==21.2.0
Babel==2.9.1
bcrypt==3.1.7
blinker==1.4
Brlapi==0.7.0
cachetools==4.0.0
certifi==2019.11.28
chardet==3.0.4
chrome-gnome-shell==0.0.0
clearml==1.0.5
click==8.0.1
cloud-sptheme==1.10.1.post20200504175005
cloudpickle==1.6.0
colorama==0.4.3
command-not-found==0.3
cryptography==2.8
cupshelpers==1.0
cycler==0.10.0
Cython==0.29.24
dbus-python==1.2.16
decorator==4.4.2
defer==1.0.6
distlib==0.3.1
distro==1.4.0
distro-info===0.23ubuntu1
doc...

Actually I removed the key pair, as you said it wasn't a must in the newer versions

so?

but using that code - how would I edit fileds?

Okay Jake, so that basically means I don't have to touch any server configuration regarding the file-server on the trains server. It will simply get ignored and all I/O initiated by clients with the right configuration will cover for that?

Let's take a step back. Let's remove the clearml-services from the docker compose for a second, and run it manually (then you can control everything). Once you have it running manually, let's try to replicate the setup back to the docker compose, make sense ?

I'd prefer not to docker-compose down as researchers are actively working on it, what do you say that I will manually kill the services agent and launch one myself?

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

now I'm curious what is the effect of _allow_extra_fields_

I re-executed the experiemnt, nothing changes

Loading part from task B:
` def get_models_from_task(task: clearml.Task, model_artifact_substring: str = 'iter_') -> dict:
"""
Extract all models saved as artifacts with the specified substring

:param task: Task to fetch from
:param model_artifact_substring: Substring for recognizing models among artifacts
:return: Mapping between iter number and model instance
"""

# Extract models from task (models are named iter-XXX where XXX is the iteration number)
model_...

I can easily see how this problem can reoccur

Why would I have 0.15.1 if I followed the instructions of the docs?

I manually deleted the allegroai/trains:latest image, that didn't help either

but shouldn't the :lastest make it redownload the right image?

Wait, suddenly the UI changed to 0.16.1, seems like I was shown a cached page

sudo curl https://raw.githubusercontent.com/allegroai/trains-server/master/docker-compose.yml -o /opt/trains/docker-compose.yml

my bad, I didn't look at the upgrade section

mmmm got it

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

SuccessfulKoala55 :shrug:

looks like it did pull the right image

Still happens

the explicity of the variable queue makes it feels like it runs somewhere else

let me try to docker-compose down --rmi all