支持向量机的matlab 代码 Matlab 中关于evalin 帮助： EVALIN(WS,'expression') evaluates 'expression' in the context of the workspace WS. WS can be 'caller' or 'base'. It is similar to EVAL except that you can control which workspace the expression is evaluated in. [X,Y,Z,...] = EVALIN(WS,'expression') returns output arguments from the expression. EVALIN(WS,'try','catch') tries to evaluate the 'try' expression and if that fails it evaluates the 'catch' expression (in the current workspace). 可知evalin('base', 'algo')是对工作空间base 中的algo 求值（返回其值）。 如果是7.0 以上版本 >>edit svmtrain >>edit svmclassify >>edit svmpredict function [svm_struct, svIndex] = svmtrain(training, groupnames, varargin) %SVMTRAIN trains a support vector machine classifier % % SVMStruct = SVMTRAIN(TRAINING,GROUP) trains a support vector machine % classifier using data TRAINING taken from two groups given by GROUP. % SVMStruct contains information about the trained classifier that is % used by SVMCLASSIFY for classification. GROUP is a column vector of % values of the same length as TRAINING that defines two groups. Each % element of GROUP specifies the group the corresponding row of TRAINING % belongs to. GROUP can be a numeric vector, a string array, or a cell % array of strings. SVMTRAIN treats NaNs or empty strings in GROUP as % missing values and ignores the corresponding rows of TRAINING. % % SVMTRAIN(...,'KERNEL_FUNCTION',KFUN) allows you to specify the kernel % function KFUN used to map the training data into kernel space. The % default kernel function is the dot product. KFUN can be one of the % following strings or a function handle: % % 'linear' Linear kernel or dot product % 'quadratic' Quadratic kernel % 'polynomial' Pol...
