Create cml.yaml #15
Workflow file for this run
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name: wine-quality | ||
on: [push] | ||
jobs: | ||
run: | ||
runs-on: ubuntu-latest | ||
# optionally use a convenient Ubuntu LTS + DVC + CML image | ||
container: docker://dvcorg/cml.py3: lastest | ||
steps: | ||
- uses: actions/checkout@v2 | ||
# may need to setup NodeJS & Python3 on e.g. self-hosted | ||
# - uses: actions/setup-node@v3 | ||
# with: | ||
# node-version: '16' | ||
# - uses: actions/setup-python@v4 | ||
# with: | ||
# python-version: '3.x' | ||
# - uses: iterative/setup-cml@v1 | ||
- name: Train model | ||
env: repo_token: ${{ secrets.GITHUB_TOKEN }} | ||
run: | | ||
# Your ML workflow goes here | ||
pip install -r requirements.txt | ||
python train.py | ||
echo "## MODEL METRICS" > report.md | ||
cat metrics.txt >> report.md | ||
echo "## Data Viz" >> report.md | ||
cml-publish feature_importance.png --md >> report.md | ||
cml-publish residuals.png --md >> report.md | ||
cml-send-comment report.md | ||