https://github.com/albarji/svm-playground

A playground to experiment with Support Vector Machine models in a visual way
https://github.com/albarji/svm-playground

Last synced: about 1 month ago
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A playground to experiment with Support Vector Machine models in a visual way

• Host: GitHub
• URL: https://github.com/albarji/svm-playground
• Owner: albarji
• License: mit
• Created: 2020-06-27T11:37:56.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-06-15T12:58:56.000Z (8 months ago)
• Last Synced: 2024-06-16T10:40:51.182Z (7 months ago)
• Language: Jupyter Notebook
• Size: 1.95 MB
• Stars: 3
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# SVM playground



  


  




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[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/albarji/svm-playground/c65e9ca0393e69f8c9319d0ddffc7bfd0f95fed0?filepath=svmgui.ipynb)

A playground to experiment with **Support Vector Machine** models in a visual way. Just use the binder link above to launch it!

Alternatively, if you want to run this playground locally, install a [python Anaconda distribution](https://www.anaconda.com/products/individual) and then create the environment using the provided environment file:

    conda env create -f environment.yml

After this, log into the environment

    conda activate svm-playground

and start Jupyter notebook with

    jupyter notebook

Open the notebook named `svmgui.ipynb` and you are ready to go!