so just under models dir rather than artifact... any way to achieve this or i should just treat it as artifact ?

seems like setting to fileserver_url did the trick

yeah i still see it.. but that seems to be due to dns address being blocked by our datacenter

with this layout.. it didn't work earlier

my use case is more like 1st one where run the training at a certain given schedule

or is there any plan to fix it in upcoming release

its not that they are blank.. whole page is blank including plotly plots

AgitatedDove14 no it doesn't work

seems like if i remove the plt.figure(figsize=(16, 8)) i start to see the figure title but not figure itself

i understand.. its just if i have a docker image with correct env.. i would prefer if trains-agent can use that directly

any logs i can check or debug my side

it still tries to create a new env

thanks Martin.. at least something to go with.. as if i have any issue then i know which component logs to look for

thanks for your help AgitatedDove14

this looks good... also do you have any info/eta on next controller/service release you mentioning

as if its couple of weeks away.. i can wait

whereas i am using simple matplotlib now

allegroai/trains-agent-service image hash 03dc85869afe

i think for now it should do the trick... was just thinking about the roadmap part

looking at the above link, it seems i might be able to create it with some boilerplate as it has concept of parent and child... but not sure how status checks and dependency get sorted out

thanks for letting me know.. but it turns out after i have recreated my whole system environment from scratch, trains agent is working as expected..

AgitatedDove14 when using OutputModel(task, name='LightGBM model', framework='LightGBM').update_weights(f"{args.out}/model.pkl") i am seeing this in the logs No output storage destination defined, registering local model /tmp/model.pkl when i got to trains UI.. i see the model name and details but when i try to download it point to the path file:///tmp/model.pkl which is incorrect wondering how to fix it

AgitatedDove14 sorry having issues on my side to connect to server to test it.. but directory structure when i execute the command is like this
Directory layout: ~/test/scripts/script.py ~$ python -m test.scripts.script --args

thanks

the use case i have is to allow people from my team to run their workloads on set of servers without stepping over each other..

i could use k8s but thats bit overkill currently

is it because of something wrong with this package build from their owner or something else

also one thing i noticed.. when i report confusion matrix and some other plots e.g. seaborn with matplotlib.. on server side i can the plots are there but not visible at all

any example in the repo which i can go through

i can not check the working directory today due to vpn issues in accessing server but script path was -m test.scripts it was missing script from it