Optionaleta: numberLearning rate
Optionallambda: numberRegularization constant
Optionalc: numberPenalty imposed on point prediction violations.
Optionalw: numberBuffer size
Optionalkernel: Kernel name
Optionalloss: "hinge" | "square" | "logistic" | "graph"Loss type name
Fit model.
Training data
Target values
Returns predicted values.
Sample data
Predicted values
Update model parameters with one data.
Training data
Target value
Sparse Implicit online Learning with Kernels