Let’s look at an example of how you can use Polyaxon for your deep learning experiments. This example assumes that both Polyaxon is installed and running. And you are logged in to your Polyaxon account through the polyaxon-cli

Check that your cli is configured and you are logged in

The first step is to check that you are logged in and that you are running a version of CLI compatible with the platform.

polyaxon version --cli
polyaxon version --platform
polyaxon whoami

Create a project

Now we can create a project, you can do that with Polyaxon Dashboard or with polyaxon CLI

$ polyaxon project create --name=quick-start --description='Polyaxon quick start.'

Prepare your code

Polyaxon offers 2 options for tracking code, an in-cluster git server or tracking code on external platforms (Github, GitLab, Bitbucket, ...).

A project can only be linked to one repo (either in-cluster or on Github for example), in both cases, your workflow will be more or less similar.

We have created 2 quick-start guides to show how you can use each one of this options:

  • A guide to track code in-cluster.
  • A guide to track code on Github (N.B. you can use any other platform by just changing the repo url).