https://github.com/skp-1997/mlflow-dagshub-tutorial

The Jupyter Notebook explains basic features of MLFlow experiment tracking using Dagshub
https://github.com/skp-1997/mlflow-dagshub-tutorial

dagshub jupyter-notebook mlflow mlops

Last synced: 8 months ago
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The Jupyter Notebook explains basic features of MLFlow experiment tracking using Dagshub

• Host: GitHub
• URL: https://github.com/skp-1997/mlflow-dagshub-tutorial
• Owner: skp-1997
• License: mit
• Created: 2024-08-21T07:10:30.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-21T09:05:22.000Z (about 1 year ago)
• Last Synced: 2025-01-02T14:34:46.591Z (9 months ago)
• Topics: dagshub, jupyter-notebook, mlflow, mlops
• Language: Jupyter Notebook
• Homepage:
• Size: 15.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# MLFlow-Dagshub-Tutorial

It explores the basic features of MLFlow experiments tracking using Dagshub.

I have taken three linear classifiers on simple binary classification dataset and training results are shared below.

# Experiment Results

The result visible on Dagshub is shown below