trainLSFControl {caretLSF} | R Documentation |
Control of printing and resampling for trainLSF
trainLSFControl( method = "boot", number = ifelse(method == "cv", 10, 25), verboseIter = TRUE, returnData = TRUE, p = 0.5, index = NULL, numWorkers = 5, buffer = 20, pause = 10, lsf = lsf.ctrl())
method |
The resampling method: boot , cv ,
LOOCV , LGOCV (for repeated training/test splits), or
oob (only for random forest, bagged trees, bagged earth, bagged flexible discriminant analysis, or conditional tree forest models) |
number |
Either the number of folds or number of resampling iterations |
verboseIter |
A logical for printing a training log. |
returnData |
A logical for saving the data |
p |
For leave-group out cross-validation: the training percentage |
index |
a list with elements for each resampling iteration. Each list element is the sample rows used for training at that iteration. |
numWorkers |
the number of nodes that the job should be split across |
buffer |
a multiplier for the job kill threshold: how many times slower than the slowest job does a task have to be before it is stopped |
pause |
number of seconds between checking the current jobs |
lsf |
a list of optional control parameters for submitting
jobs. See lsf.ctrl for more details |
An echo of the parameters specified
max Kuhn