MOA_recommendation_engines: MOA recommendation engines

In RMOA: Connect R with MOA for Massive Online Analysis

MOA recommendation engines

Description

MOA recommendation engines

Usage

BRISMFPredictor(control = NULL, ...)

BaselinePredictor(control = NULL, ...)

Arguments

control	an object of class MOAmodelOptions as obtained by calling MOAoptions
...	options of parameters passed on to MOAoptions, in case control is left to NULL. Ignored if control is supplied

Value

An object of class MOA_recommender which sets up an untrained MOA model, which can be trained using trainMOA

See Also

MOAoptions, trainMOA

Examples

ctrl <- MOAoptions(model = "BRISMFPredictor", features = 10)
brism <- BRISMFPredictor(control=ctrl)
brism
baseline <- BaselinePredictor()
baseline

RMOA documentation built on July 18, 2022, 1:05 a.m.