Hi! I think there is an example in the repo:
https://github.com/allegroai/clearml/blob/master/examples/reporting/scatter_hist_confusion_mat_reporting.py
🙂
I'm happy you found a solution 🙂
RotundSquirrel78 , can you please check the webserver container logs to see if there were any errors
I'm not sure what you mean by leaderboard, but you can add custom metrics to the smart dashboard and sort by that if this is what you're looking for
Hi @<1585078763312386048:profile|ArrogantButterfly10> , you can fetch a task using it's id. Then with the task object in hand you can find the model in the artifacts section. For ease of use I suggest playing with dir(task)
in python
Hi OutrageousSheep60 , how did you add external links to a dataset? Can you provide a snippet?
In compare view you need to switch to 'Last Values' to see these scalars. Please see screenshot
You can run agent as many times as you want on your machine
Hi @<1825341965806342144:profile|DisgustedJellyfish66> , you basically see a blank screen in the webUI? Can you check if there are any errors in the API server or web server containers?
Is that the entire log? Any errors in the webserver container?
Hi @<1669152726245707776:profile|ManiacalParrot65> , is this a specific task or the controller?
Hi @<1541954607595393024:profile|BattyCrocodile47> , how does ClearML react when you run the scripts this way? The repository is logged as usual?
I don't think it's currently updated but the team is working on updating it. Hopefully it will be updated very soon 🙂
You can open developer tools (F12) and see in the UI what is happening when you create a new queue 🙂
Hi CheerfulGorilla72 ,
Tensorboard images aren't captures for you in ClearML?
How are you self hosting the ClearML server?
Hi PunyWoodpecker71 , I guess it means the task will never finish either
Do you mean reordering them with a drag and drop functionality or options for different orderings?
Can you export them somehow?
Hi @<1523701842515595264:profile|PleasantOwl46> , I think its a docker hub limitation for non paying accounts pulling too many images and unrelated to ClearML. You can always host your own artifactory as well.
I think you're right. But it looks like an infrastructure issue related to Yolo
Hi @<1546665634195050496:profile|SolidGoose91> , I think this capability exists when running pipelines. The pipeline controller will detect spot instances that failed and will retry running them.
Are you using the PRO or the open source auto scaler?
Hi ExasperatedCrocodile76 , I think you are correct. This is simply an info print out.
I think so, yes
Hi SuperiorCockroach75 , can you add logs from your ES container?
What do you mean? You control which version of the SDK you install (unless you just go for the latest)
Hi @<1785841629471444992:profile|CluelessSheep59> , looks OK. Give it a try and see what happens 🙂
Hi @<1523701122311655424:profile|VexedElephant56> , can you please elaborate a bit more on how you set up the server? Is it on top of a VPN? Is there a firewall? Is it a simple docker compose or on top of K8s?
What version of clearml
and clearml-agent
are you using, what OS? Can you add the line you're running for the agent?
There is an options for a configurations vault in the Scale/Enteprises licenses - basically applying global settings without having to edit clearml.conf
Are you running on your own server or the community server?