# PREDICTION -------------------------------------------------------------- # LES METHODES SUIVANTES PERMETTENT DE PREDIRE LA PROBA D'INTERET POUR # LES TROIS CLASSES SUIVANTES : train, randomForest, RandomForest{party} setGeneric("VT.predict", function(rfor, newdata, type){standardGeneric("VT.predict")} ) setMethod( f = "VT.predict", signature = c(rfor = "RandomForest", newdata = "missing", type = "character"), function(rfor, type = "binary"){ if(! type %in% c("binary", "continous")) stop("Type must be Binary or continous") if(type == "binary"){ tmp <- predict(rfor, OOB = T, type = "prob") tmp <- unlist(tmp) tmp <- tmp[seq(2, length(tmp), 2)] }else{ message("continous is not done yet") tmp <- NULL } return(tmp) } ) setMethod( f = "VT.predict", signature = c(rfor = "RandomForest", newdata = "data.frame", type = "character"), function(rfor, newdata, type = "binary"){ if(! type %in% c("binary", "continous")) stop("Type must be Binary or continous") if(type == "binary"){ tmp <- predict(rfor, newdata = newdata, type = "prob") tmp <- unlist(tmp) tmp <- tmp[seq(2, length(tmp), 2)] }else{ message("continous is not done yet") tmp <- NULL } return(tmp) } ) setMethod( f = "VT.predict", signature = c(rfor = "randomForest", newdata = "missing", type = "character"), function(rfor, type = "binary"){ if(! type %in% c("binary", "continous")) stop("Type must be Binary or continous") if(type == "binary"){ # no longer available in all version ?! # tmp <- rfor$vote[, 2] # get the "o" prob tmp <- predict(rfor, type = "prob")[, 2] # We want to get the "o" prob }else{ message("continous is not done yet") tmp <- NULL } return(tmp) } ) setMethod( f = "VT.predict", signature = c(rfor = "randomForest", newdata = "data.frame", type = "character"), function(rfor, newdata, type = "binary"){ if(! type %in% c("binary", "continous")) stop("Type must be Binary or continous") if(type == "binary"){ tmp <- predict(rfor, newdata = newdata, type = "prob")[, 2] # We want to get the "o" prob }else{ message("continous is not done yet") tmp <- NULL } return(tmp) } ) setMethod( f = "VT.predict", signature = c(rfor = "train", newdata = "ANY", type = "character"), function(rfor, newdata, type = "binary"){ return(VT.predict(rfor$finalModel, newdata, type)) } ) setMethod( f = "VT.predict", signature = c(rfor = "train", newdata = "missing", type = "character"), function(rfor, type = "binary"){ return(VT.predict(rfor=rfor$finalModel, type=type)) } )