A B C D E F G H I J L M N P R S T misc
| avg | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| avg-method | Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods |
| avg-method | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| bestN | Class "topNList": Top-N List |
| bestN-method | Class "topNList": Top-N List |
| binarize | Class "realRatingMatrix": Real-valued Rating Matrix |
| binarize-method | Class "realRatingMatrix": Real-valued Rating Matrix |
| binaryRatingMatrix | Class "binaryRatingMatrix": A Binary Rating Matrix |
| binaryRatingMatrix-class | Class "binaryRatingMatrix": A Binary Rating Matrix |
| calcPredictionAccuracy | Calculate the Prediction Error for a Recommendation |
| calcPredictionAccuracy-method | Calculate the Prediction Error for a Recommendation |
| coerce-method | Class "binaryRatingMatrix": A Binary Rating Matrix |
| coerce-method | Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods |
| coerce-method | Class "ratingMatrix": Virtual Class for Rating Data |
| coerce-method | Class "realRatingMatrix": Real-valued Rating Matrix |
| coerce-method | Class "topNList": Top-N List |
| colCounts | Class "ratingMatrix": Virtual Class for Rating Data |
| colCounts-method | Class "ratingMatrix": Virtual Class for Rating Data |
| colCounts-method | Class "topNList": Top-N List |
| colMeans-method | Class "ratingMatrix": Virtual Class for Rating Data |
| colSds | Class "realRatingMatrix": Real-valued Rating Matrix |
| colSds-method | Class "realRatingMatrix": Real-valued Rating Matrix |
| confusionMatrix-class | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| denormalize | Normalize the ratings |
| denormalize-method | Normalize the ratings |
| dim-method | Class "ratingMatrix": Virtual Class for Rating Data |
| dimnames-method | Class "ratingMatrix": Virtual Class for Rating Data |
| dimnames<--method | Class "ratingMatrix": Virtual Class for Rating Data |
| dissimilarity | Dissimilarity and Similarity Calculation Between Rating Data |
| dissimilarity-method | Dissimilarity and Similarity Calculation Between Rating Data |
| dropNA | Sparse Matrix Representation With NAs Not Explicitly Stored |
| dropNA2matrix | Sparse Matrix Representation With NAs Not Explicitly Stored |
| dropNAis.na | Sparse Matrix Representation With NAs Not Explicitly Stored |
| evaluate | Evaluate a Recommender Models |
| evaluate-method | Evaluate a Recommender Models |
| evaluationResultList-class | Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods |
| evaluationResults-class | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| evaluationScheme | Creator Function for evaluationScheme |
| evaluationScheme-class | Class "evaluationScheme": Evaluation Scheme |
| evaluationScheme-method | Creator Function for evaluationScheme |
| frobenius | Error Calculation |
| funkSVD | Funk SVD for Matrices with Missing Data |
| getConfusionMatrix | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| getConfusionMatrix-method | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| getData | Class "evaluationScheme": Evaluation Scheme |
| getData-method | Class "evaluationScheme": Evaluation Scheme |
| getData.frame | List and Data.frame Representation for Recommender Matrix Objects |
| getData.frame-method | List and Data.frame Representation for Recommender Matrix Objects |
| getList | List and Data.frame Representation for Recommender Matrix Objects |
| getList-method | List and Data.frame Representation for Recommender Matrix Objects |
| getModel | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| getModel-method | Create a Recommender Model |
| getModel-method | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| getNormalize | Class "ratingMatrix": Virtual Class for Rating Data |
| getNormalize-method | Class "ratingMatrix": Virtual Class for Rating Data |
| getParameters | Internal Utility Functions |
| getRatingMatrix | Class "ratingMatrix": Virtual Class for Rating Data |
| getRatingMatrix-method | Class "ratingMatrix": Virtual Class for Rating Data |
| getRatings | Class "ratingMatrix": Virtual Class for Rating Data |
| getRatings-method | Class "ratingMatrix": Virtual Class for Rating Data |
| getRatings-method | Class "topNList": Top-N List |
| getResults | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| getResults-method | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| getRuns | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| getRuns-method | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| getTopNLists | Class "topNList": Top-N List |
| getTopNLists-method | Class "topNList": Top-N List |
| hasRating | Class "ratingMatrix": Virtual Class for Rating Data |
| hasRating-method | Class "ratingMatrix": Virtual Class for Rating Data |
| HybridRecommender | Create a Hybrid Recommender |
| image-method | Class "ratingMatrix": Virtual Class for Rating Data |
| Jester5k | Jester dataset (5k sample) |
| JesterJokes | Jester dataset (5k sample) |
| length-method | Class "topNList": Top-N List |
| MAE | Error Calculation |
| MovieLense | MovieLense Dataset (100k) |
| MovieLenseMeta | MovieLense Dataset (100k) |
| MovieLenseUser | MovieLense Dataset (100k) |
| MSE | Error Calculation |
| MSWeb | Anonymous web data from www.microsoft.com |
| normalize | Normalize the ratings |
| normalize-method | Normalize the ratings |
| nratings | Class "ratingMatrix": Virtual Class for Rating Data |
| nratings-method | Class "ratingMatrix": Virtual Class for Rating Data |
| plot | Plot Evaluation Results |
| plot-method | Plot Evaluation Results |
| predict | Predict Recommendations |
| predict-method | Predict Recommendations |
| predict.funkSVD | Funk SVD for Matrices with Missing Data |
| ratingMatrix | Class "ratingMatrix": Virtual Class for Rating Data |
| ratingMatrix-class | Class "ratingMatrix": Virtual Class for Rating Data |
| realRatingMatrix | Class "realRatingMatrix": Real-valued Rating Matrix |
| realRatingMatrix-class | Class "realRatingMatrix": Real-valued Rating Matrix |
| Recommender | Create a Recommender Model |
| Recommender-class | Class "Recommender": A Recommender Model |
| Recommender-method | Create a Recommender Model |
| recommenderRegistry | Create a Recommender Model |
| removeKnownItems | Class "topNList": Top-N List |
| removeKnownItems-method | Class "topNList": Top-N List |
| removeKnownRatings | Class "realRatingMatrix": Real-valued Rating Matrix |
| removeKnownRatings-method | Class "realRatingMatrix": Real-valued Rating Matrix |
| returnRatings | Internal Utility Functions |
| RMSE | Error Calculation |
| rowCounts | Class "ratingMatrix": Virtual Class for Rating Data |
| rowCounts-method | Class "ratingMatrix": Virtual Class for Rating Data |
| rowCounts-method | Class "topNList": Top-N List |
| rowMeans-method | Class "ratingMatrix": Virtual Class for Rating Data |
| rowSds | Class "realRatingMatrix": Real-valued Rating Matrix |
| rowSds-method | Class "realRatingMatrix": Real-valued Rating Matrix |
| sample-method | Class "ratingMatrix": Virtual Class for Rating Data |
| show-method | Class "Recommender": A Recommender Model |
| show-method | Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods |
| show-method | Class "evaluationResults": Results of the Evaluation of a Single Recommender Method |
| show-method | Class "evaluationScheme": Evaluation Scheme |
| show-method | Class "ratingMatrix": Virtual Class for Rating Data |
| show-method | Class "topNList": Top-N List |
| similarity | Dissimilarity and Similarity Calculation Between Rating Data |
| similarity-method | Dissimilarity and Similarity Calculation Between Rating Data |
| topNList | Class "topNList": Top-N List |
| topNList-class | Class "topNList": Top-N List |
| [-method | Class "evaluationResultList": Results of the Evaluation of a Multiple Recommender Methods |
| [-method | Class "ratingMatrix": Virtual Class for Rating Data |
| [<--method | Class "realRatingMatrix": Real-valued Rating Matrix |