To setup an environment that matches OCI Data Science, a container image must be built. With a Data Science compatible container image you can do the following -
- Build and Publish custom conda packs that can be used within Data Science environment. Enable building conda packs in your CICD pipeline.
- Install an existing conda pack that was published from an OCI Data Science Notebook.
- Develop code locally against the same conda pack that will be used within an OCID Data Science image.
Prerequisites
- Install docker on your workstation
- Internet connection to pull dependencies
- If the access is restricted through proxy -
- Setup proxy environment variables
https_proxy
,https_proxy
andno_proxy
- For
Linux
Workstation - update proxy variables indocker.service
file and restart docker - For
mac
- update proxy setting in the docker desktop
- Setup proxy environment variables
- ADS cli is installed. Check CLI Installation section
here<../../quickstart>
Build a container image with name ml-job
ads opctl build-image job-local