## 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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