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. |