
String Support Vector Machine
svm_string.Rd
stringdot for support vector machines
Usage
svm_string(
x,
y,
mode = "unknown",
engine = "kernlab",
cost = NULL,
length = NULL,
lambda = NULL,
normalized = TRUE,
margin = NULL
)
Arguments
- mode
regression or classification
- engine
kernlab ksvm
- cost
A positive number for the cost of predicting a sample within or on the wrong side of the margin
- length
The length of the substrings considered
- lambda
The decay factor
- normalized
normalize string kernel values, (default = TRUE)
- margin
A positive number for the epsilon in the SVM insensitive loss function (regression only)