WeltXing/PySVM
PySVM : A NumPy implementation of SVM based on SMO algorithm. Numpy构建SVM分类、回归与单分类，支持缓存机制与随机傅里叶特征
This tool helps data scientists and machine learning practitioners train Support Vector Machine (SVM) models for various tasks. You can input your labeled datasets and, in return, get a trained model that can classify new data, predict numerical values, or identify unusual data points. It's designed for those who need a performant and customizable SVM solution.
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Use this if you need to build highly accurate classification, regression, or anomaly detection models with SVMs and want fine-grained control over the underlying algorithm.
Not ideal if you prefer using higher-level machine learning libraries that abstract away the algorithmic details or if your primary need is not SVMs.
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27
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2
Language
Python
License
MIT
Category
Last pushed
Nov 19, 2023
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