Environment for Evaluating Recommender Systems


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Documentation for package ‘rrecsys’ version 0.9.7.3.1

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algAverageClass Baseline algorithms exploiting global/item and user averages.
algAverageClass-class Baseline algorithms exploiting global/item and user averages.
BPRclass Bayesian Personalized Ranking based model.
BPRclass-class Bayesian Personalized Ranking based model.
coerce-method Dataset class.
coerce-method Dataset class for tuples (user, item, rating).
colAverages Dataset class.
colAverages-method Dataset class.
colAverages-method Dataset class for tuples (user, item, rating).
colRatings Dataset class.
colRatings-method Dataset class.
colRatings-method Dataset class for tuples (user, item, rating).
dataChart Visualization of data characteristics.
dataSet Dataset class.
dataSet-class Dataset class.
defineData Define dataset.
defineData-method Define dataset.
dim-method Dataset class.
dim-method Dataset class for tuples (user, item, rating).
evalChart Visualization of data characteristics.
evalModel Creating the evaluation model.
evalModel-class Evaluation model.
evalModel-method Creating the evaluation model.
evalPred Evaluates the requested prediction algorithm.
evalPred-method Evaluates the requested prediction algorithm.
evalRec Evaluates the requested recommendation algorithm.
evalRec-method Evaluates the requested recommendation algorithm.
evalRecResults Evaluation results.
evalRecResults-class Evaluation results.
eval_nDCG Normalized Discounted Cumulative Gain
getAUC Returns the Area under the ROC curve.
getAUC,evalModel Returns the Area under the ROC curve.
getAUC-method Returns the Area under the ROC curve.
histogram Ratings histogram.
IBclass Item based model.
IBclass-class Item based model.
ml100k Movielens 100K Dataset
ml100k_array Movielens 100K Dataset
mlLatest100k Movielens Latest
ncol-method Dataset class.
ncol-method Dataset class for tuples (user, item, rating).
nrow-method Dataset class.
nrow-method Dataset class for tuples (user, item, rating).
numRatings Dataset class.
numRatings-method Dataset class.
numRatings-method Dataset class for tuples (user, item, rating).
PPLclass Popularity based model.
PPLclass-class Popularity based model.
predict Generate predictions.
predict, slopeOneclass Generate predictions.
predict-method Generate predictions.
predict-method Slope One model.
rankScore Rank Score
recommendHPR Generate recommendation.
recommendMF Generate recommendation.
results Evaluation results.
results-method Evaluation results.
rowAverages Dataset class.
rowAverages-method Dataset class.
rowAverages-method Dataset class for tuples (user, item, rating).
rowRatings Dataset class.
rowRatings-method Dataset class.
rowRatings-method Dataset class for tuples (user, item, rating).
rrecsys Create a recommender system.
rrecsys-method Create a recommender system.
rrecsysRegistry Create a recommender system.
setStoppingCriteria Set stopping criteria.
show-method Bayesian Personalized Ranking based model.
show-method Item based model.
show-method Popularity based model.
show-method SVD model.
show-method Item based model.
show-method Baseline algorithms exploiting global/item and user averages.
show-method Dataset class.
show-method Evaluation model.
show-method Evaluation results.
show-method Slope One model.
show-method Weighted Alternating Least Squares based model.
showDeltaError Set stopping criteria.
showStoppingCriteria Set stopping criteria.
slopeOneClass Slope One model.
slopeOneClass-class Slope One model.
sparseDataSet Dataset class for tuples (user, item, rating).
sparseDataSet-class Dataset class for tuples (user, item, rating).
sparsity Dataset class.
sparsity-method Dataset class.
summary-method Dataset class.
SVDclass SVD model.
SVDclass-class SVD model.
UBclass Item based model.
UBclass-class Item based model.
wALSclass Weighted Alternating Least Squares based model.
wALSclass-class Weighted Alternating Least Squares based model.
[-method Dataset class.
[-method Dataset class for tuples (user, item, rating).
_ds Dataset class.
_ds-class Dataset class.