rrecsys: defineData – R documentation

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defineData

Define dataset.

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

`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`.

Returns an object of class "dataSet".

data(mlLatest100k)

a <- defineData(mlLatest100k)

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

Environment for Evaluating Recommender Systems

v0.9.7.3.1

GPL-3

Authors

Ludovik Çoba [aut, cre, cph], Markus Zanker [ctb], Panagiotis Symeonidis [ctb]

Initial release

2018-02-10