AssignFolds: Partition training data
In AndrewjSage/RFLOWESS: A robust approach to random forest regression
Description
Usage
Arguments
Value
Description
Function to partition training cases into folds for a given number of repetitions of cross validation
Will typically be called within PartitionData, which is used in parameter tuning step.
Usage
1
AssignFolds(ntrain, cvfolds)
Arguments
ntrain
number of training cases
cvfolds
number of folds for cross validation (must evenly divide number of training cases)
Value
returns an array containing
1- indices of training cases
2- fold numbers
AndrewjSage/RFLOWESS documentation built on May 26, 2019, 6:38 a.m.
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Description Usage Arguments Value
Description
Function to partition training cases into folds for a given number of repetitions of cross validation Will typically be called within PartitionData, which is used in parameter tuning step.
Usage
1 | AssignFolds(ntrain, cvfolds)
|
Arguments
ntrain |
number of training cases |
cvfolds |
number of folds for cross validation (must evenly divide number of training cases) |
Value
returns an array containing 1- indices of training cases 2- fold numbers
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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