1. A method, comprising: accessing a set of kernel machine training data; partitioning the kernel machine training data into a set of partitioned training data based, at least in part, on a set of partition parameters; creating from the set of partitioned training data a partition matrix that approximates a kernel machine kernel matrix; and storing the partition matrix in a computer memory.