rename pkg --> aggexp

[aggexp.git] / aggexp / R / m_SVMclassif.R

diff --git a/aggexp/R/m_SVMclassif.R b/aggexp/R/m_SVMclassif.R
new file mode 100644 (file)
index 0000000..30e9a2b
--- /dev/null
+++ b/aggexp/R/m_SVMclassif.R
@@ -0,0 +1,47 @@
+#' @include b_Algorithm.R
+
+#' @title SVM Algorithm
+#'
+#' @description SVM classifier.
+#' Inherits \code{\link{Algorithm}}
+#'
+#' @field kernel TODO
+#' @field someParam TODO
+#'
+SVMclassif = setRefClass(
+       Class = "SVMclassif",
+
+       fields = c(
+               kernel = "numeric",
+               someParam = "logical"
+       ),
+
+       contains = "Algorithm",
+
+       methods = list(
+               initialize = function(...)
+               {
+                       callSuper(...)
+                       #TODO
+               },
+               predict_noNA = function(XY, x)
+               {
+                       if (nrow(XY) <= 5)
+                               return (10) #TODO
+
+                       require(kernlab, quietly=TRUE)
+                       XY[,"alert"] = XY[,"Measure"] > 30
+                       alertsIndices = XY[,"alert"]
+                       XY[alertsIndices,"alert"] = "alert"
+                       XY[!alertsIndices,"alert"] = "noalert"
+                       XY[,"alert"] = as.factor(XY[,"alert"])
+                       XY[,"Measure"] = NULL
+
+                       ks = ksvm(alert ~ ., data=XY)
+                       pred = as.character(predict(ks, as.data.frame(x)))
+                       pred[pred == "alert"] = 70
+                       pred[pred == "noalert"] = 10
+                       return (as.numeric(pred))
+               }
+       )
+)