| /dports/devel/R-cran-caret/caret/R/ |
| H A D | plsda.R | 140 out <- object$obsLevels[apply(tmpPred, 1, which.max)]
141 out <- factor(out, levels = object$obsLevels)
146 tmpOut[,i] <- object$obsLevels[apply(tmpPred[,,i,drop=FALSE], 1, which.max)]
151 y = object$obsLevels),
189 y = object$obsLevels),
228 obsLevels <- levels(y) functionVar
235 obsLevels <- colnames(y)
236 if(is.null(obsLevels)) stop("the y matrix must have column names")
237 oldY <- obsLevels[apply(y, 1, which.max)]
249 out$obsLevels <- obsLevels
[all …]
|
| H A D | splsda.R | 21 classIndex <- object$obsLevels[apply(tmpPred, 1, which.max)]
22 factor(classIndex, levels = object$obsLevels)
28 tmpPred <- as.data.frame(tmpPred[,-length(object$obsLevels)], stringsAsFactors = TRUE)
50 obsLevels <- levels(y) functionVar
58 obsLevels <- colnames(y)
59 if(is.null(obsLevels)) stop("the y matrix must have column names")
60 oldY <- obsLevels[apply(y, 1, which.max)]
72 out$obsLevels <- obsLevels
88 train <- train[, -length(obsLevels), drop = FALSE]
|
| H A D | heldout.R | 66 if(is.character(prd$obs) && !is.null(x$obsLevels))
67 prd$obs <- factor(prd$obs, levels = x$obsLevels)
68 if(is.character(prd$pred) && !is.null(x$obsLevels))
86 prd$obs <- factor(prd$obs, levels = x$obsLevels)
87 if(is.character(prd$pred) && !is.null(x$obsLevels))
166 if(is.null(x$obsLevels)) {
173 if(all(x$obsLevels %in% colnames(prd))) {
174 lev <- x$obsLevels
188 if(is.null(x$obsLevels)) {
195 if(all(x$obsLevels %in% colnames(prd))) {
[all …]
|
| H A D | plotClassProbs.R | 70 obsLevels <- levels(object$obs) functionVar
74 measure.vars = if(length(obsLevels) == 2) obsLevels[1] else obsLevels)
92 form <- if(length(obsLevels) == 2)
98 xlab = paste("Probability of", obsLevels[1]),
|
| H A D | probFunction.R | 7 obsLevels <- levels(modelFit) functionVar
15 if(!is.null(obsLevels)) classprob <- classProb[, obsLevels]
|
| H A D | createModel.R | 13 "createModel" <-function(x, y, wts, method, tuneValue, obsLevels, pp = NULL, last = FALSE, sampling… argument
48 param = tuneValue, lev = obsLevels,
60 modelFit$obsLevels <- obsLevels
|
| H A D | extractProb.R | 20 obsLevels <- levels(models[[1]]) functionVar
51 tempTrainPred <- factor(tempTrainPred, levels = obsLevels)
74 tempTestPred <- factor(tempTestPred, levels = obsLevels)
101 tempUnkPred <- factor(tempUnkPred, levels = obsLevels)
116 predClass <- factor(predClass, levels = obsLevels)
117 obs <- factor(obs, levels = obsLevels)
|
| H A D | classLevels.R | 9 if(!isS4(x$finalModel) && !is.null(x$finalModel$obsLevels))
10 return(x$finalModel$obsLevels)
|
| H A D | updates.R | 98 obsLevels = levels(object$trainingData$.outcome), nameattr
117 args$obsLevels <- levels(args$y)
|
| H A D | predict.train.R | 163 obsLevels <- levels(object) functionVar
164 out <- out[, obsLevels, drop = FALSE]
|
| H A D | extractPrediction.R | 18 obsLevels <- levels(models[[1]]) functionVar
127 pred <- factor(pred, levels = obsLevels)
128 obs <- factor(obs, levels = obsLevels)
|
| H A D | learning_curve.R | 107 test_perf <- mod$control$summaryFunction(test_preds, lev = mod$finalModel$obsLevels)
123 app_perf <- mod$control$summaryFunction(app_preds, lev = mod$finalModel$obsLevels)
|
| H A D | train_recipes.R | 104 rec_model <- function(rec, dat, method, tuneValue, obsLevels, argument
168 modelFit$obsLevels <- obsLevels
188 obsLevels <- levels(object$fit) functionVar
193 if (!is.null(obsLevels))
194 classprob <- classProb[, obsLevels]
244 obsLevels = lev,
371 obsLevels = lev,
443 obsLevels = lev,
706 obsLevels = lev,
883 obsLevels = lev,
[all …]
|
| H A D | bag.R | 434 obsLevels <- levels(object@data@get("response")[,1]) globalVar
435 if(!is.null(obsLevels))
438 probMatrix <- matrix(unlist(rawProbs), ncol = length(obsLevels), byrow = TRUE)
440 colnames(out) <- obsLevels
|
| H A D | confusionMatrix.R | 382 lev <- x$obsLevels
392 lev <- x$obsLevels
509 lev <- data$obsLevels
|
| H A D | workflows.R | 111 obsLevels = lev,
369 obsLevels = lev,
496 obsLevels = lev,
|
| H A D | adaptive.R | 63 obsLevels = lev,
287 obsLevels = lev,
576 obsLevels = lev,
|
| H A D | train.default.R | 843 obsLevels = classLevels,
1436 obsLevels = classLevels,
|
| H A D | selectByFilter.R | 301 obsLevels = classLevels, nameattr
498 obsLevels = classLevels, nameattr
|
| H A D | rfe.R | 316 obsLevels = classLevels, nameattr
1839 obsLevels = classLevels, nameattr
|
| /dports/devel/R-cran-caret/caret/man/ |
| H A D | caret-internal.Rd | 34 obsLevels,
|