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This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.

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LSSVMlib

Library of python classes for performing Least-Squares Support Vector Machine (LS-SVM) machine-learning modeling. The classes are build to conform to the scikit-learn API allowing for smooth integration with scikit-learn based projects.

Implementation details: Tutorial webpage

Status

  • Regressor Class
  • Classification Class

Install & uninstall in Jupyter-notebook and Google colaboratory

!python -m pip install git+https://github.com/DannyVanpoucke/LSSVMlib#egg=LSSVMlib
!python -m pip uninstall git+https://github.com/DannyVanpoucke/LSSVMlib#egg=LSSVMlib

Dependencies

(i.e. implemented with)

  • Python 3.7.3
  • sklearn 0.21.2
  • pandas 0.24.2
  • numpy 1.16.4
  • scipy 1.2.1

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Please open an issue if you encounter a bug.

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This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.

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  • Jupyter Notebook 98.1%
  • Python 1.9%