Optional
eta: numberLearning rate
Optional
lambda: numberRegularization constant
Optional
c: numberPenalty imposed on point prediction violations.
Optional
w: numberBuffer size
Optional
kernel: Kernel name
Optional
loss: "hinge" | "square" | "logistic" | "graph"Loss type name
Sparse Implicit online Learning with Kernels