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name: your-workflow-name | ||
on: [push] | ||
jobs: | ||
run: | ||
runs-on: ubuntu-latest | ||
# optionally use a convenient Ubuntu LTS + DVC + CML image | ||
# container: docker://ghcr.io/iterative/cml:0-dvc2-base1 | ||
steps: | ||
- uses: actions/checkout@v2 | ||
# may need to setup NodeJS & Python3 on e.g. self-hosted | ||
# - uses: actions/setup-node@v2 | ||
# with: | ||
# node-version: '16' | ||
# - uses: actions/setup-python@v2 | ||
# with: | ||
# python-version: '3.x' | ||
- uses: iterative/setup-cml@v1 | ||
- name: Train model | ||
run: | | ||
# Your ML workflow goes here | ||
pip install -r requirements.txt | ||
python train.py | ||
- name: Write CML report | ||
env: | ||
REPO_TOKEN: ${{ secrets.GITHUB_TOKEN }} | ||
run: | | ||
# Post reports as comments in GitHub PRs | ||
cat results.txt >> report.md | ||
cml send-comment report.md |