How to train SVM

Question

neha gautam 2018-5-8

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/399762-how-to-train-svm

回答： Sindhu 2023-9-5

Hi, Is there anyone who will help me in SVM for classification in Matlab code. i have completed my work until feature extraction and after feature extraction, I have created mxn size of the matrix where n is the number of samples and mx1 is the array of each image/character.

Please guide that, how I have to arrange the training dataset that I can train SVM.

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Answer 1

Walter Roberson 2018-5-8

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https://ww2.mathworks.cn/matlabcentral/answers/399762-how-to-train-svm#answer_319297

在 MATLAB Online 中打开

https://www.mathworks.com/help/stats/svmtrain.html

"Input Arguments:

Train: Matrix of training data, where each row corresponds to an observation or replicate, and each column corresponds to a feature or variable."

That is already the form that your indicate your data is in, so you do not need to do anything further to prepare it. Just call

svmtrain(YourMatrix, Vector_of_target_information)

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Walter Roberson 2018-5-8

What is class(tar) and size(tar) ?

neha gautam 2018-5-8

image.png

My training dataset is 26x2600 and target is 1x2600, I have solved the previous error. now I get a new one.

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Answer 2

Ameer Hamza 2018-5-8

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/399762-how-to-train-svm#answer_319294

在 MATLAB Online 中打开

The easiest way to get started and visualize is to use Classification Learner App. Start it using this command

classificationLearner

Then you can start a new session. Import your data. In the model type choose SVM. Several SVM models are available. Choose advanced and choose advanced training options. Then press train to start training. When Training is complete, it will visualize result using several graphs. You can also export the model to the workspace for further processing.