search for: targetvari

...all("mappred", node = node, fitted = fitted, data = data, n = as.integer(n), from = from, prob = prob, debug = debug) 2: map.prediction(node = node, fitted = object, data = data, n = extra.args$n, from = extra.args$from, prob = prob, debug = debug) 3: predict.bn.fit(values10$fitted, input$targetvariables, combn2, prob = TRUE, method = "bayes-lw") 4: predict(values10$fitted, input$targetvariables, combn2, prob = TRUE, method = "bayes-lw") 5: t(attr(predict(values10$fitted, input$targetvariables, combn2, prob = TRUE, method = "bayes-lw"), "prob")) 6: obser...

...re constant or all missing values - which prevents the model from being built. Can someone point me the right direction as to how I can automatically purge my data file of these useless fields. Thanks in advance, pdb train <- read.csv("TrainingData.csv") library(gbm) i.gbm<-gbm(TargetVariable ~ . ,data=train,distribution="bernoulli..... 1: In gbm.fit(x, y, offset = offset, distribution = distribution, ... : variable 5: var1 has no variation. -- View this message in context: http://r.789695.n4.nabble.com/eliminating-constant-variables-tp2284831p2284831.html Sent from the R...