svmtrain
svmtrain is a function commonly found in machine learning libraries, notably in MATLAB's Statistics and Machine Learning Toolbox, used for training Support Vector Machines (SVMs). SVMs are powerful supervised learning models used for both classification and regression tasks. The primary goal of svmtrain is to find an optimal hyperplane that best separates data points belonging to different classes in a high-dimensional space, or to fit a model that predicts a continuous output.
The function typically takes training data, including feature vectors and corresponding labels, as input. Users can
Upon successful training, svmtrain returns a trained SVM model object. This model object encapsulates the learned