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mlpack
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Collaborative filtering. More...
Classes | |
| class | AverageInterpolation |
| This class performs average interpolation to generate interpolation weights for neighborhood-based collaborative filtering. More... | |
| class | BatchSVDPolicy |
| Implementation of the Batch SVD policy to act as a wrapper when accessing Batch SVD from within CFType. More... | |
| class | BiasSVDPolicy |
| Implementation of the Bias SVD policy to act as a wrapper when accessing Bias SVD from within CFType. More... | |
| class | CFModel |
| The model to save to disk. More... | |
| class | CFType |
| This class implements Collaborative Filtering (CF). More... | |
| class | CFWrapper |
| The CFWrapper class wraps the functionality of all CF types. More... | |
| class | CFWrapperBase |
| The CFWrapperBase class provides a unified interface that can be used by the CFModel class to interact with all different CF types at runtime. More... | |
| class | CombinedNormalization |
| This normalization class performs a sequence of normalization methods on raw ratings. More... | |
| class | CosineSearch |
| Nearest neighbor search with cosine distance. More... | |
| class | DummyClass |
| This class acts as a dummy class for passing as template parameter. More... | |
| class | ItemMeanNormalization |
| This normalization class performs item mean normalization on raw ratings. More... | |
| class | LMetricSearch |
| Nearest neighbor search with L_p distance. More... | |
| class | NMFPolicy |
| Implementation of the NMF policy to act as a wrapper when accessing NMF from within CFType. More... | |
| class | NoNormalization |
| This normalization class doesn't perform any normalization. More... | |
| class | OverallMeanNormalization |
| This normalization class performs overall mean normalization on raw ratings. More... | |
| class | PearsonSearch |
| Nearest neighbor search with pearson distance (or furthest neighbor search with pearson correlation). More... | |
| class | RandomizedSVDPolicy |
| Implementation of the Randomized SVD policy to act as a wrapper when accessing Randomized SVD from within CFType. More... | |
| class | RegressionInterpolation |
| Implementation of regression-based interpolation method. More... | |
| class | RegSVDPolicy |
| Implementation of the Regularized SVD policy to act as a wrapper when accessing Regularized SVD from within CFType. More... | |
| class | SimilarityInterpolation |
| With SimilarityInterpolation, interpolation weights are based on similarities between query user and its neighbors. More... | |
| class | SVDCompletePolicy |
| Implementation of the SVD complete incremental policy to act as a wrapper when accessing SVD complete decomposition from within CFType. More... | |
| class | SVDIncompletePolicy |
| Implementation of the SVD incomplete incremental to act as a wrapper when accessing SVD incomplete incremental from within CFType. More... | |
| class | SVDPlusPlusPolicy |
| Implementation of the SVDPlusPlus policy to act as a wrapper when accessing SVDPlusPlus from within CFType. More... | |
| class | SVDWrapper |
| This class acts as the wrapper for all SVD factorizers which are incompatible with CF module. More... | |
| class | UserMeanNormalization |
| This normalization class performs user mean normalization on raw ratings. More... | |
| class | ZScoreNormalization |
| This normalization class performs z-score normalization on raw ratings. More... | |
Typedefs | |
| using | EuclideanSearch = LMetricSearch< 2 > |
| typedef SVDWrapper< DummyClass > | ArmaSVDFactorizer |
| add simple typedefs | |
Enumerations | |
| enum | NeighborSearchTypes { COSINE_SEARCH, EUCLIDEAN_SEARCH, PEARSON_SEARCH } |
| NeighborSearchTypes contains the set of NeighborSearchPolicy classes that are usable by CFModel at prediction time. | |
| enum | InterpolationTypes { AVERAGE_INTERPOLATION, REGRESSION_INTERPOLATION, SIMILARITY_INTERPOLATION } |
| InterpolationTypes contains the set of InterpolationPolicy classes that are usable by CFModel at prediction time. | |
Functions | |
| template<typename DecompositionPolicy > | |
| CFWrapperBase * | TrainHelper (const DecompositionPolicy &decomposition, const CFModel::NormalizationTypes normalizationType, const arma::mat &data, const size_t numUsersForSimilarity, const size_t rank, const size_t maxIterations, const double minResidue, const bool mit) |
| template<typename NeighborSearchPolicy , typename CFType > | |
| void | PredictHelper (CFType &cf, const InterpolationTypes interpolationType, const arma::Mat< size_t > &combinations, arma::vec &predictions) |
| template<typename NeighborSearchPolicy , typename CFType > | |
| void | GetRecommendationsHelper (CFType &cf, const InterpolationTypes interpolationType, const size_t numRecs, arma::Mat< size_t > &recommendations, const arma::Col< size_t > &users) |
| template<typename NeighborSearchPolicy , typename CFType > | |
| void | GetRecommendationsHelper (CFType &cf, const InterpolationTypes interpolationType, const size_t numRecs, arma::Mat< size_t > &recommendations) |
| template<typename DecompositionPolicy > | |
| CFWrapperBase * | InitializeModelHelper (CFModel::NormalizationTypes normalizationType) |
| CFWrapperBase * | InitializeModel (CFModel::DecompositionTypes decompositionType, CFModel::NormalizationTypes normalizationType) |
| template<typename DecompositionPolicy , typename Archive > | |
| void | SerializeHelper (Archive &ar, CFWrapperBase *cf, CFModel::NormalizationTypes normalizationType) |
Collaborative filtering.
1.8.13