R6 class representing a LaF csv data loader
R6 class representing a LaF csv data loader
dfstores the batch of data read from the csv file
new()Initialisation method.
DataSet.CSV$new(inf, n, yi, ...)
infpath to file or a LaF csv data model.
nnumber of rows to read ecah time from the csv file
yiindexes of the output variables
...additional arguments for the
LaF::detect_dm_csv function
siindex of slicing dimension after feature engineering
..connect..()Opens the connection with the csv file.
DataSet.CSV$..connect..(...)
...additional arguments for the
LaF::laf_open function
..get.data..()Return a batch of data of the wanted size.
DataSet.CSV$..get.data..()
nsize of the batch of data
...additional arguments for the process fucntion
feed()Feed a number with the data from the CSV file Returns X invisibly.
DataSet.CSV$feed(data = NULL, ...)
datalist composed by X (containing the features) and Y (containing the targets). If NULL a the list is created. If provided the numbers in ti will be fed in place.
...additional arguemnts to be passed to
dm()Returns the data model.
DataSet.CSV$dm()
clone()The objects of this class are cloneable with this method.
DataSet.CSV$clone(deep = FALSE)
deepWhether to make a deep clone.
It uses the capability of the LaF package to load sequentially batch of data from a csv file.