look forward to the new job workflow part in 0.16 then 🙂

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

i know it support conda.. but i have another system wide env which is not base .. say ml so wondering if i can comnfigure trains-agent to use that... not standard practice but just asking if it is possible

screenshot

test package is not installed but its in the current working directory

AgitatedDove14 it seems uploading artifact and uploading models are two different things when it comes to treating fileserver... as when i upload artifact it works as expected but when uploading model using outputmodel class, it wants output_uri path.. wondering how can i as it to store it under the fileserver like artifacts LightGBM.1104445eca4749f89962669200481397/artifacts/Model%20object/model.pkl

thanks

it still tries to create a new env

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

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..

thanks for your help AgitatedDove14

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

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

ok will give it a try and let you know

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

TimelyPenguin76 also is there any reason for trating show and imshow differently

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

or is there any plan to fix it in upcoming release

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

so as you say.. i don't think the issue i am seeing is due to this error

whereas i am using simple matplotlib now

i don't need this right away.. i just wanted to know the possibility fo dividing the current machine into multiple workers... i guess if its not readily available then may be you guys can discuss to see if it makes sense to have it on roadmap..

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

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 🙂