UpsetTurkey67 The single set of online documentation ( https://clear.ml/docs/latest/docs ), denotes OSS/Free-SaaS/Paid features as such. For example: https://clear.ml/docs/latest/docs/configs/clearml_conf#configuration-vault
MelancholyElk85 Thanks for calling this to attention. What do you think would have made it easier for you to notice the available extended list content?
I would assume that a "type to match" option would also have helped?
Appreciate if you could https://github.com/allegroai/clearml/issues/new/choose so this can be pushed forward.
WittyOwl57 No worries 🙂 happens to the best!
@<1523709410411548672:profile|NuttyFox2> Since the default server user configuration does not require authentication, I'm assuming your use case calls for some users being authenticated where others are not?
Such mixed access mode is currently not on the near term roadmap for the OSS server - You should create a feature request to help push it into the development plan.
DefeatedCrab47 For the most part, mlflow can serve basic ML models using scikit-learn. In contrast, Trains was designed with more general purpose ML/DL workflows in mind, for which there's no "generic" way to serve models as different scenarios can use different input encoding, models results would be represented in a variety of forms, etc.
Consider also, that creating an HTTP endpoint for model inference is quite a breeze: there are multiple examples of Flask on top of any DL/ML framework w...
DepressedChimpanzee34 Always appreciated
Hi JuicyOtter4
The GUI search returns all experiments in the project that have your search string in their task id, name, description or any of their models' names.
You can use regex with the '.*' button in the search bar.
AverageRabbit65 Adding to SweetBadger76 's reference, e2e examples are available for the different pipeline implementation methods:
https://clear.ml/docs/latest/docs/guides/pipeline/pipeline_controller
https://clear.ml/docs/latest/docs/guides/pipeline/pipeline_decorator
https://clear.ml/docs/latest/docs/guides/pipeline/pipeline_functions
RotundHedgehog76 Have you tried clearml-data add --files .
? (Probably best to try on a smaller subset first)
WittyOwl57 I just used a couple of the experiments in the https://app.community.clear.ml/projects/764d8edf41474d77ad671db74583528d/ of the free tier server.
GentleSwallow91 For more information, look at what ClearML logs for your experiments: https://docs-testing.allegro.ai/docs/latest/docs/fundamentals/task#logging-task-information