Continuous Machine Learning (CML) is an open-source tool that helps implement CI/CD style integration in the development of Machine Learning Models. CML helps evaluate different approaches and givesa visual report to make wiser decisions based on the criteria we set. The key file for CML to work is .github/workflows/cml.yaml
Below is an example of how a cml.yaml file looks like:
name: CML
on: [push]
jobs:
train-and-report:
runs-on: ubuntu-latest
container: docker://ghcr.io/iterative/cml:0-dvc2-base1
steps:
- uses: actions/checkout@v3
- name: Train model
env:
REPO_TOKEN: $
run: |
pip install -r requirements.txt
python train.py # generate plot.png
# Create CML report
cat metrics.txt >> report.md
echo '' >> report.md
cml comment create report.md
- sample file taken from one of the CML example repos