Matrix factorization with user and item biases for rating prediction, trained with plain vanilla SGD
Inheritance Hierarchy
NReco.CF.Taste.Impl.Recommender.SVD.AbstractFactorizer
NReco.CF.Taste.Impl.Recommender.SVD.RatingSGDFactorizer
NReco.CF.Taste.Impl.Recommender.SVD.SVDPlusPlusFactorizer
Namespace: NReco.CF.Taste.Impl.Recommender.SVD
Assembly: NReco.Recommender (in NReco.Recommender.dll) Version: 1.0.0.0 (1.0.0.0)
Syntax
The RatingSGDFactorizer type exposes the following members.
Constructors
Name | Description | |
---|---|---|
![]() | RatingSGDFactorizer(IDataModel, Int32, Int32) | Initializes a new instance of the RatingSGDFactorizer class |
![]() | RatingSGDFactorizer(IDataModel, Int32, Double, Double, Double, Int32, Double) | Initializes a new instance of the RatingSGDFactorizer class |
Methods
Name | Description | |
---|---|---|
![]() | createFactorization | (Inherited from AbstractFactorizer.) |
![]() | Equals | (Inherited from Object.) |
![]() | Factorize | (Overrides AbstractFactorizer.Factorize().) |
![]() | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
![]() | GetHashCode | Serves as a hash function for a particular type. (Inherited from Object.) |
![]() | GetType | Gets the Type of the current instance. (Inherited from Object.) |
![]() | itemIndex | (Inherited from AbstractFactorizer.) |
![]() | MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
![]() | prepareTraining | |
![]() | Refresh | (Inherited from AbstractFactorizer.) |
![]() | shufflePreferences | |
![]() | ToString | Returns a string that represents the current object. (Inherited from Object.) |
![]() | updateParameters | |
![]() | userIndex | (Inherited from AbstractFactorizer.) |
Fields
Name | Description | |
---|---|---|
![]() | biasLearningRate | |
![]() | biasReg | |
![]() | dataModel | |
![]() ![]() | FEATURE_OFFSET | |
![]() ![]() | ITEM_BIAS_INDEX | |
![]() | itemVectors | |
![]() | learningRate | |
![]() | learningRateDecay | |
![]() | numFeatures | |
![]() | preventOverfitting | |
![]() | randomNoise | |
![]() ![]() | USER_BIAS_INDEX | |
![]() | userVectors |
See Also