Awesome

Setup DVC Action

Data version control (DVC) is open-source, Git version control for machine learning projects. Benefits include:

• Reproducible and shareable machine learning models and pipelines
• Git version large datasets and models without Git-LFS
• Git diffs for model and data metrics across commits, tags and branches

The iterative/setup-dvc action is a JavaScript action that sets up DVC in your workflow.

Usage

This action can be run on ubuntu-latest, macos-latest, windows-latest. When running on windows-latest, Python 3 is a dependency that should be setup first (and there's an action for that).

Basic usage:

steps:
  - uses: actions/checkout@v2

  - uses: iterative/setup-dvc@v1

Windows:

steps:
  - uses: actions/checkout@v2

  - uses: actions/setup-python@v2
    with:
      python-version: '3.x'

  - uses: iterative/setup-dvc@v1

A specific version can be pinned to your workflow using the version argument.

steps:
  - uses: actions/checkout@v2

  - uses: iterative/setup-dvc@v1
    with:
      version: '1.0.1'

Inputs

The following inputs are supported.

• version - (optional) The version of DVC to install. A value of latest will install the latest version of DVC. Defaults to latest.

Outputs

Setup DVC has no outputs.