Update cml.yaml #8

	name: model-wine-quality
	on: [push]
	jobs:
	run:
	runs-on: ubuntu-latest
	# optionally use a convenient Ubuntu LTS + DVC + CML image
	# container: ghcr.io/iterative/cml:0-dvc2-base1
	steps:
	- uses: actions/checkout@v3
	# 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


	# Add images to the report
	echo "![Feature Importance](feature_importance.png)" >> report.md
	echo "![Residuals](residuals.png)" >> report.md

	# Create a comment with the report using CML
	cml comment report.md

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