Create the training data for each of the k models in k-fold cross validation evaluation
Create the training data for each of the k models in k-fold cross validation evaluation
createTrainDataFolds(
data,
folds = 10,
id = getOption("latrend.id"),
seed = NULL
)data |
A |
folds |
The number of folds. By default, a 10-fold scheme is used. |
id |
The trajectory identifier variable. |
seed |
The seed to use, in order to ensure reproducible fold generation at a later moment. |
A list of data.frame of the folds training datasets.
Other validation methods:
createTestDataFolds(),
createTestDataFold(),
latrendBoot(),
latrendCV(),
lcModel-data-filters
data(latrendData) trainFolds <- createTrainDataFolds(latrendData, folds = 10, id = "Id") trainFolds <- createTrainDataFolds(latrendData, folds = 10, id = "Id", seed = 1)
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