Fitrsvm matlab, fitrsvm trains or cross-validates a support vector machine (SVM) regression model on a low- through moderate-dimensional predictor data set. Mdl = fitcsvm(Tbl,ResponseVarName) returns a support vector machine (SVM) classifier Mdl trained using the sample data contained in the table Tbl. the result of the libsvm (using svmtrain function) was used along with svmpredict to the successfully predict with new input parameters as followed: fitrsvm trains or cross-validates a support vector machine (SVM) regression model on a low- through moderate-dimensional predictor data set. Train a RegressionSVM model using fitrsvm and the sample data. 2 支持向量机回归模型训练 第一部分：内容介绍 第二部分：函数介绍 第三部分：例子（2-3个） 本模块已在1. 1中进行了详细的介绍 1. 2. To train an SVM regression model, see fitrsvm for low-dimensional and moderate-dimensional predictor data sets, or fitrlinear for high-dimensional data sets. fitrsvm supports mapping the predictor data using kernel functions, and supports SMO, ISDA, or L 1 soft-margin minimization via quadratic programming for objective-function minimization. RegressionSVM models store data, parameter values, support vectors, and algorithmic implementation information.
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