Displaying 3 results from an estimated 3 matches for "bloodbrain".
2011 Aug 22
3
Ignoring loadNamespace errors when loading a file
On a Unix machine I ran caret::rfe using the multicore package, and I
saved the resulting object using save(lm2, file = "lm2.RData").
[Reproducible example below.]
When I try to load("lm2.RData") on my Windows laptop, I get
Error in loadNamespace(name) : there is no package called 'multicore'
I completely understand the error and I would like to ignore it and
2013 Feb 19
0
CARET. Relationship between data splitting trainControl
...x"
and the interplay between trainControl and the data splitting functions in
caret (e.g. createDataPartition, createResample, createFolds and
createMultiFolds)
To better frame my questions, let me use the following example from the
documentation:
*************************************
data(BloodBrain)
set.seed(1)
tmp <- createDataPartition(logBBB,p = .8, times = 100)
trControl = trainControl(method = "LGOCV", index = tmp)
ctreeFit <- train(bbbDescr, logBBB, "ctree",trControl=trControl)
*************************************
My questions are:
1) If I use createDataPart...
2013 Apr 14
1
Aggregate function Bagging
Good morning all.
I am doing bagging with package caret. I need bagging for a classification
problem. I am working with " bag".
bag(x, y, B = 10, vars = NULL, bagControl = bagControl(), ...)
bagControl(fit = NULL,
predict = NULL,
aggregate = NULL,
downSample = FALSE)
My fit function is:
svmFit <- function(x, y, ...)
{
library(e1071)