[R] Bug fix for running R methods via ParallelizedPredictor (#2983) #4123

	name: Nursery Tests

	on: [push, pull_request]

	jobs:
	test:
	strategy:
	max-parallel: 1
	fail-fast: false
	matrix:
	python-version: ['3.8']
	platform: [ubuntu-latest]

	runs-on: ${{ matrix.platform }}

	if: contains(github.event.pull_request.labels.*.name, 'pr:test-nursery')

	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install MXNet (Linux)
	if: ${{ runner.os == 'Linux' }}
	run: pip install mxnet~=1.8.0
	- name: Install MXNet (Windows)
	if: ${{ runner.os == 'Windows' }}
	run: pip install mxnet~=1.7.0
	- name: Install other dependencies
	run: \|
	python -m pip install -U pip
	pip install torch==1.10.0+cpu --no-cache-dir -f https://download.pytorch.org/whl/cpu/torch_stable.html
	pip install pytorch-lightning~=1.5
	pip install -e ".[shell]"
	pip install -r requirements/requirements-test.txt
	pip install -r requirements/requirements-extras-sagemaker-sdk.txt
	pip install -r requirements/requirements-extras-m-competitions.txt
	pip install -r requirements/requirements-extras-anomaly-evaluation.txt
	pip install -r requirements/requirements-extras-autogluon.txt
	- name: Test with pytest
	run: \|
	pytest -n2 --doctest-modules test/nursery

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