Man pages for ludovikcoba/rrecsys
Environment for Evaluating Recommender Systems
| algAverageClass | Baseline algorithms exploiting global/item and user averages. |
| BPRclass | Bayesian Personalized Ranking based model. |
| dataChart | Visualization of data characteristics. |
| dataSet-class | Dataset class. |
| defineData | Define dataset. |
| ds-class | Dataset class. |
| evalChart | Visualization of data characteristics. |
| evalModel | Creating the evaluation model. |
| evalModel-class | Evaluation model. |
| evalPred | Evaluates the requested prediction algorithm. |
| evalrec | Evaluates the requested recommendation algorithm. |
| evalRecResults | Evaluation results. |
| getAUC | Returns the Area under the ROC curve. |
| histogram | Ratings histogram. |
| IBclass | Item based model. |
| ml100k | Movielens 100K Dataset |
| mlLatest100k | Movielens Latest |
| nDCG | Normalized Discounted Cumulative Gain |
| PPLclass | Popularity based model. |
| predict | Generate predictions. |
| rankScore | Rank Score |
| recommend | Generate recommendation. |
| rrecsys | Create a recommender system. |
| setStoppingCriteria | Set stopping criteria. |
| slopeOneClass | Slope One model. |
| sparseDataSet-class | Dataset class for tuples (user, item, rating). |
| SVDclass | SVD model. |
| UBclass | Item based model. |
| wALSclass | Weighted Alternating Least Squares based model. |
