https://github.com/jarnorfb/pydata_berlin_sacred

Lightning Talk about sacred at PyData Berlin
https://github.com/jarnorfb/pydata_berlin_sacred

experiment-tracking machine-learning sacred tutorial

Last synced: 12 months ago
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Lightning Talk about sacred at PyData Berlin

• Host: GitHub
• URL: https://github.com/jarnorfb/pydata_berlin_sacred
• Owner: JarnoRFB
• Created: 2019-02-10T22:14:20.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-07-18T14:29:37.000Z (about 7 years ago)
• Last Synced: 2025-04-12T07:45:58.068Z (over 1 year ago)
• Topics: experiment-tracking, machine-learning, sacred, tutorial
• Language: Jupyter Notebook
• Homepage:
• Size: 166 KB
• Stars: 9
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Machine Learning Experiments with Sacred @PyData Berlin

A short introduction to [sacred](https://github.com/IDSIA/sacred) for logging machine learning experiments.

## Installation

If you want to run the notebook offline, you will need conda and docker:

    $ conda env create -f environment.yml

    $ cd sacred_setup

    $ docker-compose up -d

    $ cd ..

    $ conda activate sacred

    $ jupyter notebook

Once you are finished stop all the running containers

    $ cd sacred_setup

    $ docker-compose stop