@<1523701070390366208:profile|CostlyOstrich36> I read those, but did not understand.

I have... its included in None

Ok, I checked: A is terminated. This is not what I thought would happen and not what I intended with my documentation. I should clarify that.

@<1523701083040387072:profile|UnevenDolphin73> : If I do, what should I configure how?

I expect either 'var1' to be 'b' or - better - there to be log of the change, so that I would be able to see how the value changed over time.

@<1523701087100473344:profile|SuccessfulKoala55> : I referenced this conversation in the issue None

@<1523701205467926528:profile|AgitatedDove14> : "does that make sense ?" Not really.

"you do not need to automatically Add/Log/Track things into the Task in the current process." - I do not need to automatically do [...]? You mean I can do it automatically, but alternatively I can do it manually? Do you mean I use close within a process to prevent automatic logging/adding/tracking? But, as far as I know, after I used close I am not able to log etc. manually either. So...

"Mark...

@<1523701083040387072:profile|UnevenDolphin73> : I see. I did not make the connection that output_uri=True is what I was missing. I thought this was the default. But the default is actually "None", which is different than "True".

I created None

@<1523701083040387072:profile|UnevenDolphin73> : I do not get this impression, because during update_weights I get the message

2023-02-21 13:54:49,185 - clearml.model - INFO - No output storage destination defined, registering local model C:\Users..._Demodaten_FF_2023-02-21_13-53-51.624362.model

KindChimpanzee37 : Ok, will do. (More question from my side though. :-D) But I need to have pretty good idea before presenting our concept to the bosses.

KindChimpanzee37 : Thank you so much! I asked follow up questions 🙂 .

Unbelievable! That worked.

missing a configuration option

Which one, where? Any idea? I did not set output_uri - do I have to do that?

I am refering to

• None
• None

@<1523701087100473344:profile|SuccessfulKoala55> Also, I think that - in this case, but also in other cases - the issue is not just the documentation, but also the design of the SDK.

It is documented at None ... super deep in the code. If you don't know that output_uri in TASK's (!) init is relevant, you would never know...

@<1523701083040387072:profile|UnevenDolphin73>

I have already been trying to contribute (have three pull requests), but honestly I feel it is a bit weird, that I need to update a documentation about something I do not understand, while I actually try to evaluate if ClearML is the right tool for our company...

But, I guess @<1523701070390366208:profile|CostlyOstrich36> wrote that in a different chat, right?

I mean those, that you see in the screen shot. The difference in code is - at least for me - to write

• parameters_data = {'custom1': 'no', 'custom2': False}; parameters_data = task.connect(parameters_data , name='data')
• task.set_user_properties(custom1='no', custom2=False)
  

Do you mean "exactly" as in "you finally got it" or in the sense of "yes, that was easy to miss"?

The first scenario is you standard "the code stays the same, the configuration changes" for the second step. Here, I want
The second and third scenario is "the configuration stays the same, the code changes", this is the case, e.g., if code is refactored, but effectively does the same as before.

@<1523701083040387072:profile|UnevenDolphin73> , you wrote

About the third scenario I'm not sure. If the configuration has changed, shouldn't the relevant steps (the ones where the configuration...

@<1523701083040387072:profile|UnevenDolphin73> : No, I love it ❤ . Now, I just have to read everything 😄 .

@<1523701205467926528:profile|AgitatedDove14> , you wrote

• Components anyway need to be available when you define the pipeline controller/decorator, i.e. same codebase

No you an specify a different code base, see here:

Is the code in this "other" repo downloaded to the agent's machine? Or is the component's code pushed to the machine on which the repository is?
If the second case is true: How is the other machine (on which the other repo is lying on) turned into an agent?

@<1523701083040387072:profile|UnevenDolphin73> : I am not sure who you mean by "user"? I am not aware that we are building an app... 😄 Do you mean a person that reruns the entire pipeline but with different parameters from the Web UI? But here, we are not able to let the "user" configure all those things.

Is there some other way - that does not require any coding - to build pipelines (I am not aware)?

Also, when I build pipelines via tasks, the (same) imports had to be done in each...

: What does

• The component code still needs to be self-composed (or, function component can also be quite complex)

Well it can address the additional repo (it will be automatically added to the PYTHONPATH), and you can add auxilary functions (as long as they are part of the initial pipeline script), by passing them to

helper_functions

mean? Is it not possible that I call code that is somewhere else on my local computer and/or in my code base? That makes thi...

"uncommitted changes" and "container" is also empty.

Also, I could not find any larger examples on github about Model, InputModel, or OutputModel. It's kind of difficult to build a PoC this way... 😅

It means "The syntax for the file name, folder name or volume label / disk is wrong" somthing along those lines. The [...] is the directory path to my project, which I opened in PyCharm and from which I run the commands in the Python Console.

Understand. Here I only see: