[DOC] - Tutorial on long-horizon forecasting #95
Workflow file for this run
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| name: Models Performance | |
| permissions: write-all | |
| on: | |
| pull_request: | |
| types: [opened, synchronize, reopened] | |
| defaults: | |
| run: | |
| shell: bash -l {0} | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.ref }} | |
| cancel-in-progress: true | |
| jobs: | |
| run-models-performance: | |
| runs-on: ubuntu-latest | |
| strategy: | |
| fail-fast: false | |
| env: | |
| TIMEGPT_TOKEN: ${{ secrets.TIMEGPT_TOKEN }} | |
| PLOTS_REPO_URL: https://github.com/Nixtla/nixtla/blob/docs-figs-model-performance | |
| steps: | |
| - name: Clone repo | |
| uses: actions/checkout@v2 | |
| - name: Set up environment | |
| uses: mamba-org/setup-micromamba@v1 | |
| with: | |
| environment-file: environment.yml | |
| create-args: python=3.9 | |
| cache-environment: true | |
| - name: Install pip requirements | |
| run: pip install ./ | |
| - name: Run evaluation | |
| run: python -m action_files.models_performance.main | |
| - name: Upload images to new branch main | |
| run: | | |
| git config --global user.email [email protected] | |
| git config --global user.name AzulGarza | |
| git push https://[email protected]/nixtla/nixtla.git --delete docs-figs-model-performance || true | |
| git checkout -b docs-figs-model-performance | |
| git add -f "*.png" | |
| git commit -m "[cd] update png images" || echo "No changes to commit" | |
| git push https://[email protected]/nixtla/nixtla.git HEAD:docs-figs-model-performance | |
| - name: Upload results to the PR | |
| uses: actions/github-script@v6 | |
| with: | |
| script: | | |
| const fs = require('fs'); | |
| const markdown = fs.readFileSync('./action_files/models_performance/summary.md', 'utf8'); | |
| await github.rest.issues.createComment({ | |
| issue_number: context.issue.number, | |
| owner: context.repo.owner, | |
| repo: context.repo.repo, | |
| body: markdown | |
| }); | |
| github-token: ${{ secrets.GITHUB_TOKEN }} | |