Add clf-model model from model/clf-model with label1, label2 labels (… #32

	name: train-model
	on:
	push:
	paths:
	- "data/**"
	- "stages/**"
	- "params.yaml"
	- "dvc.*"
	jobs:
	train-model:
	runs-on: ubuntu-latest
	environment: cloud
	permissions:
	contents: read
	id-token: write
	steps:
	- uses: actions/checkout@v3
	with:
	ref: ${{ github.event.pull_request.head.sha }}
	- uses: iterative/setup-cml@v1
	- uses: actions/setup-python@v2
	with:
	python-version: "3.9"
	# This block is using Iterative Sandbox AWS User
	# Comment it out if using your own credentials
	- uses: aws-actions/configure-aws-credentials@v1
	with:
	aws-region: us-east-1
	role-to-assume: arn:aws:iam::342840881361:role/SandboxUser
	- name: Setup Git User
	run: cml ci
	env:
	REPO_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }}
	- name: Train model
	env:
	REPO_TOKEN: ${{ secrets.PERSONAL_ACCESS_TOKEN }}
	# Uncomment the below if using your own credentials
	# AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
	# AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
	# AWS_SESSION_TOKEN: ${{ secrets.AWS_SESSION_TOKEN }}
	run: \|
	pip install -r requirements.txt
	dvc pull
	dvc repro
	dvc push
	# Create CML report
	echo "## Metrics" >> report.md
	dvc metrics show --md >> report.md
	echo "## Confusion Matrix" >> report.md
	cml publish eval_plots/cm.png --md >> report.md
	cml send-comment report.md

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