Fix missing import for load_numpy_array_data in MLflow section #1

	name: Network Security CI/CD

	on:
	push:
	branches: [ main, master ]
	pull_request:
	branches: [ main, master ]

	jobs:
	test:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v2
	- name: Set up Python 3.9
	uses: actions/setup-python@v2
	with:
	python-version: 3.9
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements.txt
	pip install -e .
	- name: Run tests
	run: \|
	pytest --cov=networksecurity
	- name: Upload coverage report
	uses: codecov/codecov-action@v1

	dvc-tracking:
	runs-on: ubuntu-latest
	needs: test
	if: github.event_name == 'push'
	steps:
	- uses: actions/checkout@v2
	with:
	fetch-depth: 0
	- name: Set up Python 3.9
	uses: actions/setup-python@v2
	with:
	python-version: 3.9
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements.txt
	pip install -e .
	- name: Setup DVC
	uses: iterative/setup-dvc@v1
	- name: Configure DAGsHub credentials
	run: \|
	echo "machine dagshub.com login austinLorenzMccoy password ${{ secrets.DAGSHUB_TOKEN }}" > $HOME/.netrc
	chmod 600 $HOME/.netrc
	- name: Pull DVC data
	run: \|
	dvc remote add origin https://dagshub.com/austinLorenzMccoy/networkSecurity_project.dvc
	dvc pull
	- name: Run DVC pipeline
	run: dvc repro
	- name: Push DVC results
	run: dvc push
	- name: Log metrics to DAGsHub
	run: \|
	pip install dagshub
	python -c "from dagshub import dagshub_logger; dagshub_logger(metrics_path='reports/direct_training_metrics.json')"
	env:
	DAGSHUB_USER: austinLorenzMccoy
	DAGSHUB_REPO: networkSecurity_project

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