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Paper: Evaluating probabilistic forecasters with sktime - an easy-to-use, highly configurable framework for reproducible science #114

Paper: Evaluating probabilistic forecasters with sktime - an easy-to-use, highly configurable framework for reproducible science

Paper: Evaluating probabilistic forecasters with sktime - an easy-to-use, highly configurable framework for reproducible science #114

Workflow file for this run

name: curvenote
on:
pull_request_target:
branches: ['2024']
permissions:
contents: read
pull-requests: write
jobs:
publish:
uses: curvenote/actions/.github/workflows/publish.yml@v1
with:
monorepo: true
id-pattern-regex: '^scipy-2024-(?:[a-zA-Z0-9-_]{3,25})$'
enforce-single-folder: paper
preview-label: paper
submit-label: true
venue: scipy
collection: '2024'
kind: Article
path: papers/*
ref: ${{ github.event.pull_request.head.sha }}
secrets:
CURVENOTE: ${{ secrets.CURVENOTE_TOKEN }}
GITHUB: ${{ secrets.GITHUB_TOKEN }}