#' @export
makeRLearner.classif.hdrda = function() {
makeRLearnerClassif(
cl = "classif.hdrda",
package = "sparsediscrim",
par.set = makeParamSet(
makeNumericLearnerParam(id = "lambda", default = 1, lower = 0, upper = 1),
makeNumericLearnerParam(id = "gamma", default = 0),
makeDiscreteLearnerParam(id = "shrinkage_type", default = "ridge", values = c("ridge", "convex")),
makeNumericVectorLearnerParam(id = "prior"),
makeNumericLearnerParam(id = "tol", default = 1e-06),
makeLogicalLearnerParam(id = "projected", default = FALSE, when = "predict")
),
properties = c("numerics", "twoclass", "prob"),
name = "High-Dimensional Regularized Discriminant Analysis",
short.name = "hdrda",
callees = "hdrda"
)
}
#' @export
trainLearner.classif.hdrda = function(.learner, .task, .subset, .weights = NULL, ...) {
d = getTaskData(.task, .subset, target.extra = TRUE)
sparsediscrim::hdrda(x = as.matrix(d$data), y = d$target, ...)
}
#' @export
predictLearner.classif.hdrda = function(.learner, .model, .newdata, ...) {
p = predict(.model$learner.model, as.matrix(.newdata), ...)
if (.learner$predict.type == "response") {
return(p$class)
} else {
return(p$posterior)
}
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.