Issue open on the clearml-server github https://github.com/allegroai/clearml-server/issues/89 . Thanks for your help.

yes tag is fixed

Thanks a lot I'll check how to do this correctly

Thansk for the ouput_uri can I put in the ~/trains.conf file ?

Ok fine.

I call it like that:
logger.clearml_logger.report_image( self.tag, f"{self.tag}_{iteration:0{pad}d}", epoch, image=image ) `` self.tag is train or valid . iteration is an int for the minibatch in the epoch

Wow, that really nice. I did almost the same code, TrainsLogger , TrainsSaver , and all the OutputHandler . I'll use your version instead and put any comment if I find something.

🙇

Oh it works with an _ .

If this issue happens again is there any log I can provide for help/debug ?

Any reason for / to not work?

I made the experiment on the allegroai demo server and it's the same https://demoapp.trains.allegro.ai/projects/fcf3f3fb1013434eb2001870990e5e94/experiments/6ed32a2b5a094f2da47e6967bba1ebd0/output/debugImages . I really think it's a technical limitation to not display all the image am I right ?

Thanks!

Well, I use ignite and trains-server with a logging similar to ignite.contrib.handlers so I will be very happy to test this integration.

dashboard

It works well I just need to use the task.id for the task='' I tough I could use the task.name it's perfect thanks AgitatedDove14 .

So I see two options:
Reducing the number of image reported (already in our plan) Make on big image per epoch

Even simpler than a github, this code reproduce the issues I have.

SuccessfulKoala55 feel free to roast my errors.

I'm in a process to setup a trains stack for my projects and so far it work great thank for this awesome work.

I have made some changes in the code
logger.clearml_logger.report_image( self.tag, f"{self.tag}_{epoch:0{pad}d}", iteration=iteration, image=image ) `` epoch range is 0-150 iteration range is 0-100And the error is still there
` General data error (TransportError(503, 'search_phase_execution_exception', 'Trying to create too many buckets. Must be less than or equal to: [10000] but was [10001]. This limit can be set by changing the [search.max_buckets] clus...

Is it better on clearml or clearml-server ?

I have 6 plots with one or 2 metrics. But I have a lot of debug samples.

AgitatedDove14 This is what I expected for the community version. It would really nice to have a read-only link. My use case is when I have a merge request for a model modification I need to provide several informations for our Quality Management System one is to show that the experiment is a success and the model has some improvement over the previous iteration. Obviously I don't want the reviewer to see all my failed experiments 😉 . So yes it should be really nice to have read-only ...

Oh can't wait to see this feature 👀

You need to change a setting in your host machine to make the elasticsearch working.

Is it possible to get all the iteration for one specific metric ? Lets say I have this metric logged. Will I be able to retrieve these series ?

To retrieve metrics from an experiment I use this:
` from trains_agent import APIClient

client = APIClient()

client.events.get_scalar_metric_data(task=task_id, metric="name_of_metric") `Thanks to AgitatedDove14 that point this to me.

Oh sorry, I was thinking about ignite (I don't know why) not trains. The only way I know is to use a different name when saving. I personnaly use f"{file_name}_{epoch}_{iteration}" .