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A MLOps Dashboard Automatically Created With GitHub Pages

This dashboard renders information in your repo relevant to machine learning projects automatically by using GitHub Actions and GitHub Pages.

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Sections:

  • Summary: uses the /metadata/summary.md file located your repo. This is meant to be a high level summary of your model. A recommended format for this is discussed in Model Cards for Model Reporting.

  • Reports: these pages automatically render Jupyter notebooks located in the /notebooks directory of your repo.

  • Model Timeline: this is a timeline view of relevant milestones for your ML project. This page is generated by /metadata/timeline.json in your repo, which is system generated 1.

  • Completed Pipeline Runs: This shows the most recent pipeline runs. This page is generated by /metadata/pipeline_runs.json in our repo, which is system generated 1.

  • Deploy: A click-to-deploy mechanism for others to run your training pipeline and serve your model on the infrastructure of your choice. This is under construction.

  1. This system has not been designed yet. ↩ ↩2