Uses of Interface
org.apache.mahout.cf.taste.model.Preference

Packages that use Preference
org.apache.mahout.cf.taste.impl.eval   
org.apache.mahout.cf.taste.impl.model   
org.apache.mahout.cf.taste.impl.recommender.svd   
org.apache.mahout.cf.taste.model   
 

Uses of Preference in org.apache.mahout.cf.taste.impl.eval
 

Methods in org.apache.mahout.cf.taste.impl.eval with parameters of type Preference
protected  void RMSRecommenderEvaluator.processOneEstimate(float estimatedPreference, Preference realPref)
           
protected  void AverageAbsoluteDifferenceRecommenderEvaluator.processOneEstimate(float estimatedPreference, Preference realPref)
           
protected abstract  void AbstractDifferenceRecommenderEvaluator.processOneEstimate(float estimatedPreference, Preference realPref)
           
 

Uses of Preference in org.apache.mahout.cf.taste.impl.model
 

Classes in org.apache.mahout.cf.taste.impl.model that implement Preference
 class BooleanPreference
          Encapsulates a simple boolean "preference" for an item whose value does not matter (is fixed at 1.0).
 class GenericPreference
           A simple Preference encapsulating an item and preference value.
 

Methods in org.apache.mahout.cf.taste.impl.model that return Preference
 Preference GenericUserPreferenceArray.get(int i)
           
 Preference GenericItemPreferenceArray.get(int i)
           
 Preference BooleanUserPreferenceArray.get(int i)
           
 Preference BooleanItemPreferenceArray.get(int i)
           
 

Methods in org.apache.mahout.cf.taste.impl.model that return types with arguments of type Preference
 Iterator<Preference> GenericUserPreferenceArray.iterator()
           
 Iterator<Preference> GenericItemPreferenceArray.iterator()
           
 Iterator<Preference> BooleanUserPreferenceArray.iterator()
           
 Iterator<Preference> BooleanItemPreferenceArray.iterator()
           
 

Methods in org.apache.mahout.cf.taste.impl.model with parameters of type Preference
 void GenericUserPreferenceArray.set(int i, Preference pref)
           
 void GenericItemPreferenceArray.set(int i, Preference pref)
           
 void BooleanUserPreferenceArray.set(int i, Preference pref)
           
 void BooleanItemPreferenceArray.set(int i, Preference pref)
           
 

Method parameters in org.apache.mahout.cf.taste.impl.model with type arguments of type Preference
static FastByIDMap<PreferenceArray> GenericDataModel.toDataMap(FastByIDMap<Collection<Preference>> data, boolean byUser)
          Swaps, in-place, Lists for arrays in Map values .
 

Constructor parameters in org.apache.mahout.cf.taste.impl.model with type arguments of type Preference
BooleanItemPreferenceArray(List<? extends Preference> prefs, boolean forOneUser)
           
BooleanUserPreferenceArray(List<? extends Preference> prefs)
           
GenericItemPreferenceArray(List<? extends Preference> prefs)
           
GenericUserPreferenceArray(List<? extends Preference> prefs)
           
 

Uses of Preference in org.apache.mahout.cf.taste.impl.recommender.svd
 

Methods in org.apache.mahout.cf.taste.impl.recommender.svd that return Preference
 Preference ParallelSGDFactorizer.PreferenceShuffler.get(int i)
           
 

Methods in org.apache.mahout.cf.taste.impl.recommender.svd with parameters of type Preference
protected  void ParallelSGDFactorizer.update(Preference preference, double mu)
          TODO: this is the vanilla sgd by Tacaks 2009, I speculate that using scaling technique proposed in: Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent section 5, page 6 can be beneficial in term s of both speed and accuracy.
 

Uses of Preference in org.apache.mahout.cf.taste.model
 

Methods in org.apache.mahout.cf.taste.model that return Preference
 Preference PreferenceArray.get(int i)
           
 

Methods in org.apache.mahout.cf.taste.model with parameters of type Preference
 void PreferenceArray.set(int i, Preference pref)
          Sets preference at i from information in the given Preference
 



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