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Read a training set built from prototypes, to train a classifier for supervised classification.
readTrainSet(traindir, keep_ = FALSE, operations = NULL, RclusTool.env = initParameters())
character vector specifying the path of the training set.
boolean: if FALSE (default), the '_' directory is not considered in the training set.
list of data.frames describing all preprocessing operations.
environment in which all global parameters, raw data and results are stored.
prototypes data.frame containing the features of each prototype associated to a class.
readTrainSet reads a training set built from prototypes, to train a classifier for supervised classification
dropTrainSetVars
# NOT RUN { rep <- system.file("extdata", package="RclusTool") traindir <- file.path(rep, "train_example") train <- readTrainSet(traindir) # }
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