How to get the mathematical equation of a model trained using Regression learner toolbox

53 次查看（过去 30 天）
Sirish Selvam
Sirish Selvam 2022-4-9
回答： Ravi 2023-12-21
I have created an SVM model using the regression learner. I have exported the trained model as well. How do I get the mathematical equation behind the model, that has all the coefficients and parameters that have been computed in the process of training?

请先登录，再回答此问题。

回答（1 个）

Ravi
Ravi 2023-12-21
Hi Sirish Selvam,
I understand that you want to find the mathematical equation of the trained SVM model. Unfortunately, the mathematical equation of SVM is quite complex unlike the linear regression models.
There is no direct way to obtain the mathematical equation of the trained SVM, but you can still obtain the parameters, coefficients and bias term of the support vector machine model trained by accessing the model properties.
Let us assume the model trained is “svm_model”. We can access the support vectors, coefficients, and bias term as follows.
% Extract support vectors and coefficients
supportVectors = svm_model.SupportVectors;
coefficients = svm_model.Alpha;
% Extract bias term (if present)
bias = svm_model.Bias;
To learn more about the SVM model and its properties, please refer to the following link.
fitrsvm - https://www.mathworks.com/help/stats/fitrsvm.html
I hope this solution resolves the issue you are facing.
Thanks,
Ravi Chandra

类别

在 Help Center 和 File Exchange 中查找有关 Support Vector Machine Regression 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by