I think this is referring to your configuration file ~/clearml.conf follow the instructions in the message to remove it or you can just ignore it
DilapidatedDucks58 , regarding internal workings - MongoDB - all experiment objects are saved there. Elastic - Console logs, debug samples, scalars all is saved there. Redis - some stuff regarding agents I think
Hi RotundHedgehog76 , from API perspective I think you are correct
RobustRat47 , Hi!
Do you mean the task position in the queue?
Hi @<1679299603003871232:profile|DefeatedOstrich25> , please add the full log of the run
Very similar to a task, a project has also a unique identifier - the ID (Although I think project names are also unique)
You can get the project ID either from UI (If you go to a specific project, the project ID will be in the url) or from the api as documented in:
https://clear.ml/docs/latest/docs/references/api/projects#post-projectsget_all
or from the sdk as documented here:
https://clear.ml/docs/latest/docs/references/sdk/task#taskget_project_id
Plug that project ID into the filter ...
Part of the docker compose, there is a container with a special agent that works specifically for managing services for the system, like the pipelines controllers
@<1774245260931633152:profile|GloriousGoldfish63> , you can simply use Task.set_name - None
I think this is what you're looking for
Hi @<1590514584836378624:profile|AmiableSeaturtle81> , did you have a chance to try out the solution suggested in GitHub and play with it a bit?
Hi @<1547028031053238272:profile|MassiveGoldfish6> , you would want to use the output_uri parameter of Task.init
Hi Juan, can you please elaborate? What is pac? What is failing to clone the repo, can you provide an error message?
What is the dataset URL you see in the UI? If you go to the dataset, there should be a view to the dataset link
VexedCat68 , what errors are you getting? What exactly is not working, the webserver or apiserver? Are you trying to access the server from the machine you set it up on or remotely?
Hi DeterminedOwl36 , are you sure the file is there? Can you access it via console?
LethalCentipede31 , it appears we had an internal issue with a load balancer, it was fixed a couple of minutes after your comment 🙂
ShinyLobster84 , can you please elaborate? I'm guessing your jupyter notebook? How are you running it? Did you run the experiment from it?
Hi @<1523701504827985920:profile|SubstantialElk6> , I think as long as the ports are open and pods can communicate between themselves and it should work
Can you verify you ~/.clearml.conf has proper configuration. If you dofrom clearml import Task t=Task.init()Does this work?
Hi SubstantialElk6 ,
Define prior to running the pipeline, which tasks to be running on which remote queue using which images?
What type of pipeline steps are you running? From task, decorator or function?
Make certain tasks in the pipeline run in the same container session, instead of spawning new container sessions? (To improve efficiency)
If they're all running on the same container why not make them the same task and do things in parallel?
MagnificentWorm7 , I'm taking a look if it's possible 🙂
As a workaround - I think you could split the dataset into different versions and then use Dataset.squash to merge into a single dataset
https://clear.ml/docs/latest/docs/references/sdk/dataset#datasetsquash
Hi @<1529271098653282304:profile|WorriedRabbit94> , are you still failing to login? app.clear.ml, right?
JitteryCoyote63 , projects.get_all_ex is fired when UI is loaded/pages are navigated to.
Regarding the self hosted version channel, usually these things are discussed and revealed in community talks that are done once in a while. Considering that the community server was recently updated I would give an educated guess of a week or two until ClearML self hosted version is released 🙂
Hi @<1581454875005292544:profile|SuccessfulOtter28> , you can archive an experiment, go into the archive and then you can delete from there
@<1556812486840160256:profile|SuccessfulRaven86> , where did you read that? The community server is persistent
@<1691620877822595072:profile|FlutteringMouse14> , can you try upgrading to the latest available? 1.8.1rc2
Hi @<1535069219354316800:profile|PerplexedRaccoon19> , you can do it if you run in docker mode
Hi @<1734020208089108480:profile|WickedHare16> , what issues are you facing?
Hi @<1536881167746207744:profile|EnormousGoose35> , you can integrate ClearML into your existing code with the two simple lines of
from clearml import Task
task = Task.init(...)
To see how it works and looks 🙂
You can contact the sales team via the contact form 🙂