Enable federated XGBoost using bootstrap aggregation in Task Runner #1918

	# This workflow will install Python dependencies, run tests and lint with a single version of Python
	# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

	name: TaskRunner

	on:
	pull_request:
	branches: [ develop ]
	types: [opened, synchronize, reopened, ready_for_review]

	permissions:
	contents: read

	env:
	# A workaround for long FQDN names provided by GitHub actions.
	FQDN: "localhost"

	jobs:
	build:
	if: github.event.pull_request.draft == false
	strategy:
	matrix:
	os: ['ubuntu-latest', 'windows-latest']
	python-version: ['3.8','3.9','3.10','3.11']
	runs-on: ${{ matrix.os }}
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install dependencies ubuntu
	if: matrix.os == 'ubuntu-latest'
	run: \|
	python -m pip install --upgrade pip
	pip install .
	- name: Install dependencies windows
	if: matrix.os == 'windows-latest'
	run: \|
	python -m pip install --upgrade pip
	pip install .
	- name: Test TaskRunner API
	run: \|
	python -m tests.github.test_hello_federation --template keras_cnn_mnist --fed_workspace aggregator --col1 col1 --col2 col2 --rounds-to-train 3 --save-model output_model

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