# Environment for Evaluating Recommender Systems

## Documentation for package ‘rrecsys’ version 0.9.7.3.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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.