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

once i removed the seaborn plot then CM plots becomes visible again

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

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

not so sure.. ideally i was looking for some function calls which enables me to create a sort of DAG which get scheduled at given interval and DAG has status checks on up streams task ... so if upstream task fails.. downstream tasks are not run

an example achieving what i propose would be greatly helpful

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

yeah that would solve it i think.. so what is the normal cadence for release.. every month or quarter ?

as when it run first time after .trains/venv-build cleaning, it output this message for this package - pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1593275161868/work wondering why it specify this package as for most other packages it just prints the version number

not just fairness but the scheduled workloads will be starved of resources if say someone run training which by default take all the available cpus

as i am seeing now my plots but they are lending into metrics section not plot section.

whereas i am using simple matplotlib now

any logs i can check or debug my side

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

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

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

in the above example task id is from a newly generated task like Task.init() ?

you replied it already.. it was execute_remotely called with exit_true argument

or is there any plan to fix it in upcoming release

ah ok.. anyway to avoid it or change it on my side

simply changing to show doesn't work in my case as i am displaying CM.. what about if i use matshow

ok will give it a try and let you know

it may be that i am new to trains but in my normal notebook flow they both are images and i as trains user expected it to be under the Plot section as i think this is an image.. as in nutshell all matplotlib plots display data as an image 🙂

TimelyPenguin76 yeah when i run matplotlib with show plots does land under Plot section... so its mainly then the imshow part.. i am wondering why the distinction and what is the usual way to emit plots to debug samples

thanks... i was just wondering if i overlooked any config option for that... as cpu_set might be possibility to for cpu

i ran it this week

i could use k8s but thats bit overkill currently

ok... is there any way to enforce using a given system wide env.. so agent doesn't need to spend time with env. creation

i am simply proxying it using ssh port forwarding

trains-agent version as mentioned is 0.16.1 and server is 0.16.1 as well