Skip to content
curvenote

Paper: Evaluating probabilistic forecasters with sktime - an easy-to-use, highly configurable framework for reproducible science #120

Sign in to view logs

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 #120

Triggered via pull request May 31, 2024 22:50
@astrogildaastrogilda
synchronize #915
Status Failure
Total duration 1m 19s
Artifacts 1

publish.yml

on: pull_request_target
publish  /  strategy
6s
publish / strategy
Matrix: publish / preview
Matrix: publish / check
publish  /  summary
3s
publish / summary
Fit to window
Zoom out
Zoom in

Annotations

1 error
publish / check (scipy-2024-00_benchmarking_sktime, papers/benchmarking, false)
Process completed with exit code 1.

Artifacts

Produced during runtime
Name Size
submit-scipy-2024-00_benchmarking_sktime Expired
6.23 KB