plotResults: Methods for Results objects.

In GACFF: Genetic Similarity in User-Based Collaborative Filtering

Description

Provide standard methods for manipulating Results objects.

Usage

plotResults (active_users, obj_Results, 
                       xlab = "Iteration", ylab = "MAE",
           main = "MAE (New KNN+GA) in CF Recommender Systems", ...)

Arguments

active_users	A vector of all active users id.
obj_Results	An object of class "Results".
xlab, ylab, main	Graphics parameters.
...	Additional arguments passed on to the method.

Details

Methods for standard generic functions when dealing with objects of class "Results"

Value

a plot of the history of the process is produced with a NULL return value.

Examples

ratings <- matrix(c(  2,    5,  NaN,  NaN,  NaN,    4,
                    NaN,  NaN,  NaN,    1,  NaN,    5,
                    NaN,    4,    5,  NaN,    4,  NaN,
                      4,  NaN,  NaN,    5,  NaN,  NaN,
                      5,  NaN,    2,  NaN,  NaN,  NaN,
                    NaN,    1,  NaN,    4,    2,  NaN),nrow=6,byrow=TRUE)

active_users <- c(1:dim(ratings)[2])

Results.out <- Results(ratings, active_users, Threshold_KNN=4, max_scour=5, 
                     min_scour=1, PopSize=100, MaxIteration=50, 
                     CrossPercent=70, MutatPercent=20)

plotResults(active_users, Results.out, xlab = "Iteration", ylab = "MAE",
                main = "MAE (New KNN+GA) in CF Recommender Systems" )

GACFF documentation built on Dec. 20, 2019, 5:07 p.m.