63 predict confidence #120

	name: Test Notebooks

	on:
	push:
	branches: [ "main" ]
	pull_request:
	branches: [ "main" ]

	jobs:
	test-notebooks:
	runs-on: ubuntu-latest

	strategy:
	fail-fast: false
	matrix:
	notebook: [
	"Anomaly-detection.ipynb",
	"Custom-models.ipynb",
	"Quantitative-evaluation.ipynb",
	]

	steps:
	# Check out the repository code
	- name: Checkout repository
	uses: actions/checkout@v4

	# Set up Python
	- name: Set up Python
	uses: actions/setup-python@v3
	with:
	python-version: '3.10' # Only for one python version to save on resources

	# Install dependencies
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements.txt
	pip install -r requirements-dev.txt
	pip install nbconvert jupyter
	pip list

	# Install dtaianomaly locally
	- name: Install dtaianomaly
	run: pip install .

	# Test the notebooks
	- name: Execute Anomaly detection notebook
	run:
	jupyter nbconvert --to notebook --execute notebooks/${{ matrix.notebook }}

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