What is kernel with ariticher?

Answer 1

In the context of machine learning and statistics, a kernel is a function that computes a similarity measure between two data points in a potentially high-dimensional space without explicitly mapping the points into that space. It allows algorithms, such as Support Vector Machines or Gaussian Processes, to operate in a higher-dimensional feature space using the "kernel trick," which saves computational resources and simplifies calculations. Common examples of kernels include the linear, polynomial, and radial basis function (RBF) kernels.