Uses of Interface
org.apache.mahout.cf.taste.impl.common.RunningAverage

Packages that use RunningAverage
org.apache.mahout.cf.taste.impl.common   
org.apache.mahout.cf.taste.impl.eval   
 

Uses of RunningAverage in org.apache.mahout.cf.taste.impl.common
 

Subinterfaces of RunningAverage in org.apache.mahout.cf.taste.impl.common
 interface RunningAverageAndStdDev
           Extends RunningAverage by adding standard deviation too.
 

Classes in org.apache.mahout.cf.taste.impl.common that implement RunningAverage
 class FixedRunningAverage
           A simple class that represents a fixed value of an average and count.
 class FixedRunningAverageAndStdDev
           A simple class that represents a fixed value of an average, count and standard deviation.
 class FullRunningAverage
           A simple class that can keep track of a running average of a series of numbers.
 class FullRunningAverageAndStdDev
           Extends FullRunningAverage to add a running standard deviation computation.
 class InvertedRunningAverage
           
 class InvertedRunningAverageAndStdDev
           
 class WeightedRunningAverage
           
 class WeightedRunningAverageAndStdDev
          This subclass also provides for a weighted estimate of the sample standard deviation.
 

Methods in org.apache.mahout.cf.taste.impl.common that return RunningAverage
 RunningAverage WeightedRunningAverage.inverse()
           
 RunningAverage RunningAverage.inverse()
           
 RunningAverage InvertedRunningAverage.inverse()
           
 RunningAverage FullRunningAverage.inverse()
           
 RunningAverage FixedRunningAverage.inverse()
           
 

Constructors in org.apache.mahout.cf.taste.impl.common with parameters of type RunningAverage
InvertedRunningAverage(RunningAverage delegate)
           
 

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

Methods in org.apache.mahout.cf.taste.impl.eval that return RunningAverage
 RunningAverage LoadStatistics.getTiming()
           
 

Methods in org.apache.mahout.cf.taste.impl.eval with parameters of type RunningAverage
static void OrderBasedRecommenderEvaluator.evaluate(DataModel model1, DataModel model2, int samples, RunningAverage tracker, String tag)
           
static void OrderBasedRecommenderEvaluator.evaluate(Recommender recommender, DataModel model, int samples, RunningAverage tracker, String tag)
           
static void OrderBasedRecommenderEvaluator.evaluate(Recommender recommender1, Recommender recommender2, int samples, RunningAverage tracker, String tag)
           
 



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