evalModel-class: Evaluation model.

In ludovikcoba/rrecsys: Environment for Evaluating Recommender Systems

Evaluation model.

Description

Class that contains the data and a distribution of the uniform distribution of ratings onto k-folds.

Details

The fold_indices list contains the indexes to access the dataset on one dimension. A matrix can be addressed as a one dimensional array, considered as an extension of each column after another. E.g: in a matrix M with 10 rows and 20 columns, M[10] == M[10, 1]; M[12] == M[2,2].

Slots

data:

the dataset, class "matrix".

folds:

number of k - folds, class "numeric".

fold_indices:

a list with k slots, each slot represents a fold and contains the index of items assigned to that fold, class "list".

fold_indices_x_user:

a list that specifies specifically for each user the distribution of the items in the folds, class "list".

Methods

show

signature(object = "evalModel")

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