Hello Emo Spritr
Thanks for reaching out to us, for Azure Machine Learning studio, only two-class SVM is supported as a component of Azure Machine Learning Studio. Use this component to create a model that is based on the support vector machine algorithm.
Support vector machines (SVMs) are a well-researched class of supervised learning methods. This particular implementation is suited to prediction of two possible outcomes, based on either continuous or categorical variables. After defining the model parameters, train the model by using the training components, and providing a tagged dataset that includes a label or outcome column.
In Azure Machine Learning SDK, you can develop your SVM model and apply different kernel function as this guidance -
https://www.geeksforgeeks.org/major-kernel-functions-in-support-vector-machine-svm/
Please take a look and share more details so that I can provide more information to you.
I hope this helps.
Regards, Yutong
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