Use ArcPy to Train Support Vector Machine Model

[chenkh1]

Support Vector Machine (SVM): SVM is a binary classification algorithm that finds the hyperplane that best separates the two classes. SVM can handle high-dimensional datasets, is effective in handling nonlinear relationships, and can be extended to multiclass classification.

first import the necessary ArcPy libraries, including the Spatial Analyst module (which contains the svm_classifier function). We then set the input raster and training data, as well as the parameters for the SVM model, including the kernel type and the C value (which determines the trade-off between maximizing the margin and minimizing the classification error).

We then create a new instance of the svm_classifier class, passing in the input raster, the target field, the training data, and the kernel type and C value. We then save the trained model to disk using the save method of the model object.