How to write simple predict() function for ClassificationSVM

Question

Robert Kowalski 2016-12-2

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/315177-how-to-write-simple-predict-function-for-classificationsvm

评论： Aditi Vedalankar 2018-9-10

I have trained ClassificationSVM. What is the simplest way to write function working like predict( SVMModel , X ) ? I would be gratefull for equation containing properties names from ClassificationSVM class.

Thanks !

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Iddo Weiner 2016-12-2

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/315177-how-to-write-simple-predict-function-for-classificationsvm#answer_245764

在 MATLAB Online 中打开

First you'd have to select features, check out:

https://www.mathworks.com/discovery/feature-selection.html

for info and/or ideas on how to do this.

You'll also need to decide what kind of model you're using, for the standard multi-linear regression check out the documentation on regress()

https://www.mathworks.com/help/stats/regress.html?s_tid=srchtitle

Now - if you really want the simplest model, I'd say you could skip feature selection and just run:

regress(labels, features)

and this will give you the regressor for each feature. Now your model is simply

prediction = A1*feature1 + ... + AN*featurenN

But I would generally advise against this, mainly becasue of the danger of overfitting. I suggest building a train and test based algorithm

3 个评论
显示 1更早的评论隐藏 1更早的评论

ramayya venna 2017-1-23

编辑：ramayya venna 2017-1-23

Did you get the answer? I also have the same doubt. In my case, I am using polynomial kernel (hence beta is an empty matrix). How can I write simple predict function to test new data sample?

Aditi Vedalankar 2018-9-10

dear all, I have similar doubt . I have trained model generated by classification learner model. now when i use it for predicting the test data, the error appears as Function 'subsindex' is not defined for values of class 'cell'.

Error in trainClassifier (line 48) predictors = inputTable(:, predictorNames);

Error in Test_svm1 (line 7) [trainedClassifier, validationAccuracy] = trainClassifier(trainingData); pl help

请先登录，再进行评论。