Here is a list of all documented class members with links to the class documentation for each member:
- r -
- random
: BPRMF
- Random()
: Random
- RandomIndex
: DataSet
, IDataSet
- RankItems()
: IGroupRecommender
, Maximum
, Minimum
, PairwiseWins
, Average
, WeightedAverage
, GroupRecommender
- rating_range_size
: BiasedMatrixFactorization
- RatingCorrelationMatrix()
: RatingCorrelationMatrix
- RatingCrossValidationSplit()
: RatingCrossValidationSplit
- RatingPredictionEvaluationResults()
: RatingPredictionEvaluationResults
- Ratings
: FactorWiseMatrixFactorization
, IRatingPredictor
, ItemKNN
, KNN
, RatingPredictor
, TimeAwareRatingPredictor
, UserKNN
, Ratings
- ratings
: RatingPredictor
- RatingScale()
: RatingScale
- RatingsChronologicalSplit()
: RatingsChronologicalSplit
- RatingsPerUserChronologicalSplit()
: RatingsPerUserChronologicalSplit
- RatingsProxy()
: RatingsProxy
- RatingsSimpleSplit()
: RatingsSimpleSplit
- Read()
: AttributeData
, ItemData
, ItemDataRatingThreshold
, Items
, Ratings
, Track2Items
, MovieLensRatingData
, RatingData
, RelationData
, StaticRatingData
, TimedRatingData
- Read80Plus()
: Ratings
- ReadAlbums()
: Items
- ReadArtists()
: Items
- ReadCorrelationMatrix()
: CorrelationMatrix
- ReadGenres()
: Items
- ReadIntVector()
: VectorExtensions
- ReadMatrix()
: MatrixExtensions
- ReadTest()
: Ratings
- ReadTracks()
: Items
- ReadVector()
: VectorExtensions
- RecallAt()
: PrecisionAndRecall
- Recommender
: IHyperParameterSearch
- recommender
: GroupRecommender
- RecommenderParameters()
: RecommenderParameters
- recommenders
: Ensemble
- RecommendItems()
: FoldInRatingPredictorExtensions
- reg_i
: BPRMF
- reg_j
: BPRMF
- reg_mapping
: BPRMF_Mapping
- reg_u
: BPRMF
- RegAlpha
: TimeAwareBaseline
- RegI
: BPRMF
, BiasedMatrixFactorization
, FactorWiseMatrixFactorization
, KNN
, LatentFeatureLogLinearModel
, TimeAwareBaseline
, UserItemBaseline
- RegItemBiasAtFrequency
: TimeAwareBaselineWithFrequencies
- RegItemBiasByTimeBin
: TimeAwareBaseline
- RegJ
: BPRMF
- RegMapping
: BPRMF_Mapping
- RegU
: TimeAwareBaseline
, BiasedMatrixFactorization
, BPRMF
, FactorWiseMatrixFactorization
, KNN
, LatentFeatureLogLinearModel
, UserItemBaseline
- Regularization
: BPRLinear
, WRMF
, BiasedMatrixFactorization
, MatrixFactorization
- RegUserBiasByDay
: TimeAwareBaseline
- RegUserScaling
: TimeAwareBaseline
- RegUserScalingByDay
: TimeAwareBaseline
- RelativeDay()
: TimeAwareBaseline
- Remove()
: PosOnlyFeedback< T >
, IPosOnlyFeedback
, PosOnlyFeedback< T >
- RemoveFeedback()
: MostPopular
, BPRMF
, IIncrementalItemRecommender
, IncrementalItemRecommender
- RemoveItem()
: DataSet
, IDataSet
, PosOnlyFeedback< T >
, RatingsProxy
, StaticRatings
, BPRMF
, IncrementalItemRecommender
, BiasedMatrixFactorization
, IncrementalRatingPredictor
, MostPopular
, ItemAverage
, MatrixFactorization
, IIncrementalItemRecommender
, Ratings
, IIncrementalRatingPredictor
- RemoveRatings()
: UserAverage
, ItemAverage
, IIncrementalRatingPredictor
, IncrementalRatingPredictor
, MatrixFactorization
, UserKNN
, UserItemBaseline
, NaiveBayes
, GlobalAverage
, ItemKNN
- RemoveUser()
: IncrementalItemRecommender
, StaticRatings
, Ratings
, IIncrementalItemRecommender
, IIncrementalRatingPredictor
, RatingsProxy
, PosOnlyFeedback< T >
, BiasedMatrixFactorization
, MatrixFactorization
, DataSet
, BPRMF
, IDataSet
, MostPopular
, UserAverage
, IncrementalRatingPredictor
- Retrain()
: EntityAverage
- RetrainItem()
: ItemKNNPearson
, BPRMF
, ItemAttributeKNN
, BiasedMatrixFactorization
, ItemKNN
, ItemKNNCosine
, MatrixFactorization
- RetrainUser()
: BPRMF
, MatrixFactorization
, UserKNNPearson
, UserKNN
, UserKNNCosine
, UserAttributeKNN
, BiasedMatrixFactorization
, SVDPlusPlus
- row_list
: SparseBooleanMatrix
- RowAverage()
: MatrixExtensions
- RowDifference()
: MatrixExtensions
- RowInitNormal()
: MatrixExtensions
- RowScalarProduct()
: MatrixExtensions
- RowScalarProductWithRowDifference()
: MatrixExtensions