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: about 1 month 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 6 years ago)
- Default Branch: master
- Last Pushed: 2019-07-18T14:29:37.000Z (almost 6 years ago)
- Last Synced: 2025-03-26T03:01:44.519Z (about 2 months 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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README
[](https://mybinder.org/v2/gh/JarnoRFB/pydata_berlin_sacred/master?filepath=index.ipynb)
# 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 notebookOnce you are finished stop all the running containers
$ cd sacred_setup
$ docker-compose stop