make BART training compatible for windows systems #2300

	# r cmd check workflow of the mlr3 ecosystem v0.3.1
	# https://github.com/mlr-org/actions
	on:
	workflow_dispatch:
	inputs:
	debug_enabled:
	type: boolean
	description: 'Run the build with tmate debugging enabled'
	required: false
	default: false
	push:
	branches:
	- main
	pull_request:
	branches:
	- main
	schedule:
	- cron: '0 4 * * 1'

	name: RCMD Check

	jobs:
	R-CMD-check:
	runs-on: ${{ matrix.config.os }}

	name: RCMD Check (${{ matrix.config.os }} (${{ matrix.config.r }}))

	strategy:
	fail-fast: false
	matrix:
	config:
	- {os: ubuntu-20.04, r: 'release'}
	- {os: ubuntu-20.04, r: 'devel'}

	env:
	GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}

	steps:
	- uses: actions/checkout@v4

	- uses: r-lib/actions/setup-pandoc@v2

	- uses: r-lib/actions/setup-r@v2
	with:
	r-version: ${{ matrix.config.r }}

	- uses: r-lib/actions/setup-r-dependencies@v2
	with:
	extra-packages: any::rcmdcheck
	needs: check

	- uses: mxschmitt/action-tmate@v3
	if: ${{ github.event_name == 'workflow_dispatch' && inputs.debug_enabled }}
	with:
	limit-access-to-actor: true

	- name: Install Python packages
	run: \|
	pak::pkg_install('reticulate')
	reticulate::install_miniconda(force = TRUE)
	reticulate::use_condaenv('r-reticulate')
	install.packages('keras')
	reticulate::py_install("pytorch-cpu")
	reticulate::py_install("tensorflow-cpu", pip = TRUE)
	survivalmodels::install_pycox(pip = TRUE, install_torch = FALSE)
	survivalmodels::install_keras(pip = TRUE, install_tensorflow = FALSE)
	shell: Rscript {0}

	- uses: r-lib/actions/check-r-package@v2

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