贝叶斯判别法做了，中途报了以下错误：

贝叶斯判别法做了，中途报了以下错误： >> ObjBayes=NaiveBayes.fit(training,group); ??? Error using ==> NaiveBayes.fit>gaussianFit at 535 The within-class variance in each feature of TRAINING must be positive. The within-class variance in feature 18 25 29 43 49 58 68 69 72 76 77 79 83 85 86 93 99 in class 科技 are not positive. Error in ==> NaiveBayes.fit at 498             obj = gaussianFit(obj, training, gindex); >> ObjBayes=NaiveBayes.fit(training,group); ??? Error using ==> NaiveBayes.fit>gaussianFit at 535 The within-class variance in each feature of TRAINING must be positive. The within-class variance in feature 25 26 27 32 42 44 58 65 66 67 82 in class 新闻 are not positive.

然后我把涉及到的列全删除了，就可以用贝叶斯判别法做了。

原因：列（变量）太多了，导致协方差矩阵非正定，请删除无意义的列。