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使用libsvm和遗传算法优化支持向量机的cost和gamma参数

C++ 24.53% C 17.56% MATLAB 0.21% Java 25.45% Python 32.26%

ga-svm's Introduction

使用libsvm和遗传算法优化支持向量机的cost和gamma参数

Windows平台使用方法

1. 安装Python
2. 使用命令提示符进入'classification'目录(做分类)或者'regression'目录(做回归)
3. 运行命令"python start_evolution.py sample_training_data.txt sample_test_data.txt"

目录结构

classification/     genetic algorithm source files for svm classification
linux/              Linux platform libsvm executables
misc/               other libsvm files
pygene/             the Python genetic algorithm package
regression/         genetic algorithm source files for svm regression
windows/            Windows platform libsvm executables

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