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add BART survival learner #1783

add BART survival learner

add BART survival learner #1783

Workflow file for this run

# 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@v3
- 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
run: |
pak::pkg_install('rstudio/reticulate')
reticulate::install_miniconda()
install.packages('keras')
keras::install_keras(extra_packages = c('IPython', 'requests', 'certifi', 'urllib3', 'tensorflow-hub', 'tabnet'))
reticulate::py_install(c('torch', 'pycox'), pip = TRUE)
shell: Rscript {0}
- uses: r-lib/actions/check-r-package@v2