great, thank you!

thanks!
by application you mean the web UI? is it possible to estimate the amount of calls it's performing when idle? while viewing an experiment? or some other typical usage?

yes the agent has already cloned the same repo in the first task (from the same account with the same user and token).
do you mean the full log of the machine itself? the full log of the failed task is attached already

no, im clonning only from gitlab.
another issue i had regarding clonning git raised when i tried using clearml-agent daemon, it was unable to find my git user name (i used the --git-user and --git-pass args). how can one debug these issues, if possible at all from the user side?

it seems like it does finds the requirments file otherwise why would it install tsfel tsfresh and some other "non-basic" packages?

we would love to get some clarifications as well, how does strings should be provided? what is the step size param in the uniform type? is it normal that all unused hyperparams in the HPO are displayed as str typein the UI?
thanks!

from the consule logs i can see that:
entry_point = preprocessing.py
working_dir = Scripts/Volvo/volvo_data_alignment

so how can i make clearml to install my req file? i thought that it is automatically detects the req file in the cloned repository..

installed packages before the task is running:

# Python 3.10.10 | packaged by Anaconda, Inc. | (main, Mar 21 2023, 18:39:17) [MSC v.1916 64 bit (AMD64)]

GitPython == 3.1.31
bokeh == 2.4.3
boto3 == 1.26.158
botocore == 1.29.158
clearml == 1.11.1
h5py == 3.8.0
holoviews == 1.16.0
joblib == 1.2.0
lightgbm == 3.3.5
mat73 == 0.60
matplotlib == 3.7.1
numpy == 1.23.5
pandas == 1.5.3
pytest == 7.3.1
scikit_learn == 1.3.0
scipy == 1.10.1
shapely == 2.0.1
sktime == 0.21.0
statsmodels == 0.13.5
t...

my repo structure is:
|----my_package
|----scripts
|----some_folder
|----some_folder
|----task_script.py
|----requirements.txt

censored aws credentials

yes @<1523701087100473344:profile|SuccessfulKoala55> , i'm using the pro plan, "Hyperparameter Optimization" app

we are using the community server (pro account). full configuration is attached.

It seems that when the working directory is set to '.' (root of the cloned repo) I am able to import my package as expected.
I thought about your solution but then it requires me to push every time I change my package which is inconvenient.

since it is specifying the pandas==1.5.3 i thought it might be pulling the req file from my main branch so i updated the req file there as well (since i am working on a different branch) and it didn't changedanything (as you might expect)

here is an example of the logged values, I was hoping for a way to log them so they could be visualize better.. any advice (beside making my own plot and log it)?

well there is no default one.. and in the docs there is nothing about it. would be nice to add a minimal requirements for the AMI in the docs, instead of just writing "The AWS AMI to launch".
thanks for the answer :)

conf file:

# ClearML SDK configuration file
api { 
    # Tomer Roditi's workspace
    web_server: 

    api_server: 

    files_server: 

    # corractions server
    credentials {"access_key": "****", "secret_key": "****"}
}
sdk {
    # ClearML - default SDK configuration

    storage {
        cache {
            # Defaults to system temp folder / cache
            default_base_dir: "~/.clearml/cache"
            # default_cache_manager_size: 100
  ...

@<1523701070390366208:profile|CostlyOstrich36> i just edited my question, can you refer to it pls.

Thanks!

It worked, thanks! i spent a few hours trying to figure it out 😅

update:
--docker-args "-v some_dir:other_dir -v some_dir:other_dir" is the correct format