defineData: Define dataset.

In ludovikcoba/rrecsys: Environment for Evaluating Recommender Systems

Define dataset.

Description

Defines your dataset, if either it is implicit or explicit.

Arguments

data	the dataset, class "matrix".
sparseMatrix	class "logical". If FALSE implies that the imput is a dense two dimensional matrix. If TRUE implies that the imput is arranges as coordinate list where entries are stored as list of (row, column, value) tuples.
binary	class "logical", defines if the item dataset consists of binary (i.e. NA/1) or non-binary ratings. Default value FALSE.
minimum	class "numeric", defines the minimal value present in the dataset. Default value 0.5.
maximum	class "numeric", defines the maximal value present in the dataset. Default value 5.
intScale	object of class "logical", if TRUE the range of ratings in the dataset contains as well half star values. Default value FALSE.
positiveThreshold	class "numeric", in case binary is TRUE, positiveThreshold defines the threshold value for binarizing the dataset (i.e. any rating value >= positiveThreshold will be transformed to 1 and all other values to NA(corresponding to a not rated item). Default value 0.5.

Value

Returns an object of class "dataSet".

See Also

See Also as dataSet-class.

Examples

data(mlLatest100k)

a <- defineData(mlLatest100k)

b <- defineData(mlLatest100k,binary = TRUE ,positiveThreshold = 3)

ludovikcoba/rrecsys documentation built on May 17, 2022, 2:33 a.m.