GreasyPenguin14 makes total sense.
In that case I would say variants to the accuracy make sense to me, I would suggest:
title='trains', series='accuracy/day' and title='trains', series='accuracy/night'
Regrading hierarchy, from the implementation perspective a unique identifier is always the combination of title/series (or in other words metric/variant), introducing another level is a system wide change.
This means it might be more challenging than expected ...

Let me know if there is an issue 🙂

Hi @<1547028074090991616:profile|ShaggySwan64>
That sounds awesome ! may I suggest a PR to None ?

First let's try to test if everything works as expected. Since 405 really feels odd to me here. Can I suggest following one of the examples start to end to test the setup, before adding your model?

Yes you can 🙂 (though not on the open-source version)

Yes... I think that this might be a bit much automagic even for clearml 😄

Hi ProudMosquito87
My apologies there is still no concrete ETA ...
That said I think a good toy example would really help accelerate this process.
How about opening a PR with a nice hydra example, then we can start discussing implementation details based on the toy example ?

(you can find it in the pipeline component page)

ok so i accidentally (probably with luck) noticed the max_connection: 2 in the azure.storage config.

NICE!!!! 🎊
But wait where is that set?
None
Should we change the default or add a comment ?

This seems more complicated that I thought... I think you are correct, and it fails to load the entire module, let me check what I can do

Hmm, so currently you can provide help, so users know what they can choose from, but there is no way to limit it.
I know the Enterprise version has something similar that allows users to create a custom "application" from a Task, there you can define a drop and as such, but that might be an overkill here, wdyt?

Hi @<1523701295830011904:profile|CluelessFlamingo93>
What do you mean? what's the difference between ClearML server and self hosted? both are self hosted no?

What's the difference between the example pipeeline and this code ?
Could it be the "parents" argument ? what is it?

Actually scikit implies joblib 🙂 (so you should use scikit, anyhow I'll make sure we add joblib as it is more explicit)

Yes exactly like a Task (pipeline is a type of task)
'''
clonedpipeline=Task.clone(pipeline_uid_here)
Task.enqueue(...)
'''

Run clearml-agent and enqueue the pipeline ? What am i missing?

Yeah you can ignore those, this is some python GC stuff, seems to be related with the OS and python version

Hi @<1610083503607648256:profile|DiminutiveToad80>
You mean the pipeline logic? It should autodetect the imports of the logic function (like any Task.init call)
You can however call Task.force_requirements_env_freeze and pass a local requiremenst.txt
Make sure to call it before create the Pipeline object
None

For running the pipeline remotely I want the path to be like /Users/adityachaudhry/.clearml/cache/......

I'm not sure I follow, if you are getting a path with all your folders from get_local_copy , that's exactly what you are looking for, no?

repeat it until they are all dead 🙂

Woot woot!
awesome, this RC is stable you can feel free to use it, the official release is probably due to be out next week :)

but actually that path doesn't exist and it is giving me an error

So you are saying you only uploaded the "meta-data" i.e. a text file with links to the files, and this is why it is missing?

Is there a way to change the path inside the .txt file to clearml cache, because my images are stored in clearml cache only

I think a good solution would be to store the path in the txt file as relative path, i.e. instead of /Users/adityachaudhry/data/folder... as ./data/folder

I think I'm missing the connection between the hash-ids and the txt file, or in other words why is the txt file containing full path not relative path

Any reason not to ?

Done HandsomeCrow5 +1 added 🙂
btw: if you feel you can share how your reports looks like (screen shot is great), this will greatly help in supporting this feature , thanks

But 

Task.create

 is used by 

Task.init

Surprisingly , no 🙂

Hi SmoothSheep78
Do you need to import the previous state of the trains-server, or are you starting from scratch ?

Hi JollyChimpanzee19
What are the versions (clearml , TF , PT), also could you add one more line from the stack (I.e. which call triggered the exception)

For classification it's F1 score but for other task it maybe and I don't think that's problem. we just have to log it right?

Correct 🙂

Give me few days, I will work on your sugestions and then let you know if I am not able to do this

Sounds good!
BTW:
previous_tasks = Task.get_tasks(task_filter={'tags': 'best'}) local_model_file = previous_tasks[0].artifcats['my_model'].get_local_copy()

Hi FreshKangaroo33
clearml.conf is HOCON format, to parse you can use pyhocon:
https://github.com/chimpler/pyhocon
Or the built in version of clearml:
from clearml.utilities.pyhocon import ConfigFactory config_dict = ConfigFactory.parse_string(text).as_plain_ordered_dict()You can also just get the parsed object
from clearml.config import config_obj