搜索资源列表
shenjingwangluo
- 里面有两个实验，包括PPT和实验的代码，可以帮助一些想学习神经网络的朋友一个大忙。-We now have an easy scr ipt (easy.py) for users who know NOTHING about svm. It makes everything automatic--from data scaling to parameter selection. The parameter selection tool grid.py generates the follo
gridsearch
- 这是一个libsvm grid的改进,除了可以搜索分类中的C和gamma,还可以搜索小的整数.-This file is a slight modification of grid.py of libsvm. In addition to parameters C, gamma in classification, it searches for epsilon as well. Usage: grid.py [-log2c begin,end,step] [-log2g begin
SVMcgForClass
- 关于SVM处理分类问题的网格方法寻找最优参数的脚本文件，可以参照-SSVM processing classification problem about the grid method looking for the best parameters of the scr ipt, may follow
LS-SVM
- 本文主要研究 LS-SVM 算法的基本原理及基于其实现时间序列预测 的方法。针对超参数选择困难的问题，采用多级网格搜索和遗传算法的方法对 超参数的取值进行优化-This paper studies the basic principles of the LS-SVM algorithm and time series prediction based on its implementation. Difficult to select for hyper parameter, multi
SVMcgForClass
- svm(支持向量机)对于分类问题网格参数优化（c，g） -svm grid for best c and g
sklearn-SVM
- 支持向量机(SVM)——分类预测，包括核函数调参，不平衡数据问题，特征降维，网格搜索，管道机制，学习曲线，混淆矩阵，AUC曲线等(Support vector machine (SVM) - classification prediction, including kernel function parameter adjustment, unbalanced data problem, feature dimensionality reduction, grid search, pipelin