i guess i was not so clear may be.. say e.g. you running lightgbm model training, by default it will take all the cpus available on the box and will run that many threads, now another task got scheduled on the same box now you have 2x threads with same amount of CPU to schedule on. So yes the jobs will progress but the progression will not be the same due to context switches which will happen way more than say if we have allowed on 1/2x threads for each job

any logs i can check or debug my side

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

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..

AgitatedDove14 Morning... so what should the value of "upload_uri" to set to, fileserver_url e.g. http://localhost:8081 ?

yes delete experiments which are old or for some other reason are not required to keep around

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

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

thanks

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 🙂

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

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

so i was expecting that uploaded model will be for example LightGBM.1104445eca4749f89962669200481397/models/Model%20object/model.pkl

ok will report back

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

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

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

trains is run using docker-compose allegroai/trains-agent-services:latest and allegroai/trains:latest

allegroai/trains-agent-service image hash 03dc85869afe

allegroai/trains image hash f038c8c6652d

i am simply proxying it using ssh port forwarding

will report back

screenshot

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

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

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

any example in the repo which i can go through

with this layout.. it didn't work earlier

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

thanks for the update... it seems currently i can not pass the http/s proxy parameters as when agent creates a new env and try to download some package its being blocked by our corp firewall... all outgoing connection needs to pass through a proxy.. so is it possible to specify that or environment variables to agent