LSSVM: Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch). | 您所在的位置:网站首页 › lssvm python › LSSVM: Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch). |
Overview
This repository contains a Jupyter Notebook with a python implementation of Least Squares Support Vector Machine (LSSVM) on CPU and GPU, you can find a bit of theory and the implementation on it. For a more enjoyable view of the notebook: https://nbviewer.jupyter.org/github/RomuloDrumond/LSSVM/blob/master/LSSVM.ipynb To install dependencies run pip install -r requirements.txt on the main directory. Important libraries used: Pandas, for loading and preprocessing of the data; Sklearn, for scaling features; Numpy, for matrices computation on CPU version; PyTorch, for matrices computations on GPU version; Scipy, for the fast cdist function; |
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