Hi all, I was following Jeff Heaton Youtube for "Installing the NVIDIA Data Science Stack on Linux with a ThinkPad P53" and I got stuck where I need to create the Custom Data Science Stack Environments for "data-science-stack-tf2.env" for his last step on the video which he did not complete the steps.Any help would be greatly appreciated the following steps 1-4:
I am using lenova p15 with Ubuntu 20.01
Custom Data Science Stack Environments
The default environment includes many commonly used libraries and is meant to get users started quickly. It is expected that users will create their own environments with additional libraries, and slim down to only the libraries needed.
To create a fully pinned environment suitable for development, testing, CI/CD, and for production a stable environment must be produced.
1) Create an environments/FOO.env file with the libraries wanted.
2) Run data-science-stack pin FOO
3) Examine the pinned.yaml file produced and copy to the environments:
4) cp pinned.yaml environments/FOO.yaml
Hi all, I was following Jeff Heaton Youtube for "Installing the NVIDIA Data Science Stack on Linux with a ThinkPad P53" and I got stuck where I need to create the Custom Data Science Stack Environments for "data-science-stack-tf2.env" for his last step on the video which he did not complete the steps.Any help would be greatly appreciated the following steps 1-4: I am using lenova p15 with Ubuntu 20.01
Custom Data Science Stack Environments
The default environment includes many commonly used libraries and is meant to get users started quickly. It is expected that users will create their own environments with additional libraries, and slim down to only the libraries needed.
To create a fully pinned environment suitable for development, testing, CI/CD, and for production a stable environment must be produced.
1) Create an environments/FOO.env file with the libraries wanted. 2) Run data-science-stack pin FOO 3) Examine the pinned.yaml file produced and copy to the environments: 4) cp pinned.yaml environments/FOO.yaml