ok, I entered the container, replaced all 8081 to 8085 in every file, commited the container and changed the docker-compose.yml to use that image instead of the allegroai/clearml:latest and now it works 🙂

so I removed the entrypoint, and now I can see that it tries to install the packages, but it fails because it can’t download the repo

How are you using the agent?

but he isn’t using docker

right, but it’d still try to install it

that depends…would that only keep the latest version of each file?

but it would only be affecting that session in the terminal…so you would want to add it to your .bashrc

can you share you clearml.conf file? it should do that automatically if you set the development.default_output_uri key to “s3://{your_bucket}”

in linux you can run in a terminal:
export CLEARML_CONFIG_FILE=/new/path/to/conf

if I were to run an agent that would require to install pandas at some point I’d run it:
OPENBLAS="$(brew --prefix openblas)" clearml-agent daemon --queue default

you can either add it manually to the installed packages, or remove the installed packages and use a setup.py file to manage the installation process

for example I had to do a OPENBLAS="$(brew --prefix openblas)" pip install pandas to be able to install pandas on my M1 MAC

right, I’m saying I had to do that in my MAC. In your case you would have to point it to somewhere else. Please check where openblas is installed on your ubuntu

Hi ExasperatedCrocodile76 , I guess that you were able to install Scikit-learn and you were able to run it locally, and now you want to try it with an agent on the same machine.
The error is that it can’t find OpenBLAS:
` Run-time dependency openblas found: NO (tried pkgconfig and cmake)
Run-time dependency openblas found: NO (tried pkgconfig)

../../scipy/meson.build:130:0: ERROR: Dependency "OpenBLAS" not found, tried pkgconfig `My question is: did you export some env variabl...

thanks!

ok, but if you were to run it from a different machine (or a different user!) it wouldn’t work

just do:
import os.path as op dataset_folder = Dataset.get(dataset_id="...").get_local_copy() csv_file = op.join(dataset_folder, 'salary.csv')