pybrain svm training and visualisation tool.

SMO K = kernel(trainPoints,trainPoints) c = margin TRAINSVM Summary of this function goes here Detailed explanation goes here -SMO K = kernel(trainPoints,trainPoints) c = margin TRAINSVM Summ

trainlssvm函数用于训练模型，主要有两种使用形式： [alpha, b] = trainlssvm({X,Y,type,gam,kernel_par,kernel,preprocess}) model = trainlssvm(model)或者model = trainlssvm(model, X, Y) X和Y分别是训练样本集的输入和输出数据。(The trainlssvm function is used for tr