algAverageClass: Baseline algorithms exploiting global/item and user averages.
In rrecsys: Environment for Evaluating Recommender Systems
Description
Slots
Methods
See Also
Description
Container for the model learned using any average(global, user or item) based model.
Slots
alg:The algorithm denominator, of class "character".
data:the dataset used for training the model, class "matrix".
average:average calculated either globally, on user or item, class "matrix".
Methods
showsignature(object = "algAverageClass")
See Also
rrecsys documentation built on June 10, 2019, 1:02 a.m.
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Description Slots Methods See Also
Description
Container for the model learned using any average(global, user or item) based model.
Slots
alg:The algorithm denominator, of class
"character".data:the dataset used for training the model, class
"matrix".average:average calculated either globally, on user or item, class
"matrix".
Methods
showsignature(object = "algAverageClass")
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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