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8 × Eureka!and should it work across your workspace, i.e. does not matter if task id changed? just always keep a single model with the same filename? i'm really worried this could break a lot of the reproducible/repeateable flow for your process.
if you want something that could work in either case, then maybe the second option is better
with upload I would strongly recommend against doing this
script runs, tries to register 4 models, each one of them is exactly found in the path, size/timestamp is different. then it will update the old 4 models with the new details and erase all the other fields
so what I am describing is exactly this - once you try to create an output model from the same task, if the name already exists - do not create a new model, just update the timestamp on the old one
wait, I thought this is without upload
what a turn of events π so lets summarize again:
upkeep script - for each task, find out if there are several models created by it with the same name if so, make some log so that devops can erase files DESTRUCTIVELY delete all the models from the trains-server that are in DRAFT mode, except the last one
https://github.com/allegroai/trains/issues/193 for future reference (I will update later)
Welcome! The machines are the ones you install and run the trains-agent daemon on, and creating the queues can be done via the trains-agent cli or the webapp UI
Its built in π and Its for... "Services"
https://github.com/allegroai/trains-server#trains-agent-services--
I've been waiting so eagrly for this, I made a playlist! https://open.spotify.com/playlist/4XBqPUgxHD5dbhcYqANzNo?si=G0E_s-OaQzefKIJ0wDkzHA
Hi RobustHippopotamus53 , I think this it just the place to ask this, we are all ClearML users here π Let me ask you this - did you merge and also push? When I forget to push after merging a PR I think this is the same error message I get.
What about cloning and setting "last commit in branch" ?
EnviousStarfish54 I recognize this table π i'm glad you are already talking with the right person. I hope you will get all your questions answered.
EnviousStarfish54 that is the intention, it is cached. But you might need to manage your cache settings if you have many of those, since there is an initial sane setting for the cache size. Hope this helps.
MiniatureCrocodile39 lets get that fixed πͺ could you post the link here?
EnviousStarfish54 lets refine the discussion - are you looking at structured data (tables etc.) or unstructured (audio, images etc)
Difficult without a reproducer, but I'll try: How did you get the logger? Maybe you forgot parentheses at task.get_logger() ?
Thanks for your interest in the enterprise offering πΆοΈ I would much rather if we kept this slack workspace for the open-source solution we all know and love. You can email me at mailto:ariel@clear.ml for more info. For a short answer: the Data lineage is about an order of magnitude cooler, and hyperdatasets can be thought of "beyond feature stores for unstructured data". Does this help?
Sure we do! Btw MiniatureCrocodile39 iirc I answered one of your threads with a recording to a webinar of mine
HighOtter69 so if you manually change the color of one of them, the others change for you as well?!
The colors are controlled by the front-end so not programmatically, but it is possible and (in my opinion) convenient to do so manually via clicking the appropriate position on the legend. Does this meet your expectations?
As I wrote before these are more geared towards unstructured data and I will feel more comfortable, as this is a community channel, if you continue your conversation with the enterprise rep. if you wish to take this thread to a more private channel I'm more than willing.
Aha so my flower detector example is not the best one to start with... My suggested route would be framework then experiment tracki g and then ochestration. If you wish to "cut corners" you could try our hyperparam blogpost https://link.medium.com/uGA6DePqmeb
Shh AgitatedDove14 you're dating yourself π