Stochastic Gradient Descent (SGD) example and functionality #220

	name: docs test

	# Run this workflow when a review is requested on a PR that targets the main
	# branch, or the PR is closed
	on:
	pull_request:
	types: [review_requested, closed]
	pull_request_review:
	types: [submitted, dismissed]

	# Prevent multiple PRs from building/deploying the docs at the same time
	concurrency:
	group: ${{ github.workflow }}

	# test that the docs build
	# (but don't deploy to gh-pages)
	jobs:
	build_docs:
	runs-on: ubuntu-20.04
	strategy:
	max-parallel: 4
	matrix:
	python-version: ["3.10"]
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	# cache the Python environment, including installed dependencies
	# (speeds up tests more than caching pip cache)
	- name: Cache/Restore the Python env
	uses: actions/cache@v3
	env:
	cache-name: cache-python${{ matrix.python-version }}-env
	with:
	path: ${{ env.pythonLocation }}
	key: ${{ env.pythonLocation }}-${{ hashFiles('setup.py') }}
	- name: Install doc dependencies
	run: \|
	pip install .[dev]
	- name: Install Pandoc dependency
	run: \|
	sudo apt-get install pandoc
	- name: Cache/Restore the .mpol folder cache
	uses: actions/cache@v3
	env:
	cache-name: cache-mpol-dls
	with:
	# files are stored in .mpol
	path: ~/.mpol
	# the "key" is the hash of the download script
	key: ${{ hashFiles('docs/download_external_files.py') }}
	- name: Build the docs
	run: \|
	make -C docs clean
	make -C docs html

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