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Packages that use RunningAverage | |
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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 |
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Subinterfaces of RunningAverage in org.apache.mahout.cf.taste.impl.common | |
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interface |
RunningAverageAndStdDev
Extends RunningAverage by adding standard deviation too. |
Classes in org.apache.mahout.cf.taste.impl.common that implement RunningAverage | |
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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
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class |
InvertedRunningAverageAndStdDev
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class |
WeightedRunningAverage
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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 | |
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RunningAverage |
WeightedRunningAverage.inverse()
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RunningAverage |
RunningAverage.inverse()
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RunningAverage |
InvertedRunningAverage.inverse()
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RunningAverage |
FullRunningAverage.inverse()
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RunningAverage |
FixedRunningAverage.inverse()
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Constructors in org.apache.mahout.cf.taste.impl.common with parameters of type RunningAverage | |
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InvertedRunningAverage(RunningAverage delegate)
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Uses of RunningAverage in org.apache.mahout.cf.taste.impl.eval |
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Methods in org.apache.mahout.cf.taste.impl.eval that return RunningAverage | |
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RunningAverage |
LoadStatistics.getTiming()
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Methods in org.apache.mahout.cf.taste.impl.eval with parameters of type RunningAverage | |
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static void |
OrderBasedRecommenderEvaluator.evaluate(DataModel model1,
DataModel model2,
int samples,
RunningAverage tracker,
String tag)
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static void |
OrderBasedRecommenderEvaluator.evaluate(Recommender recommender,
DataModel model,
int samples,
RunningAverage tracker,
String tag)
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static void |
OrderBasedRecommenderEvaluator.evaluate(Recommender recommender1,
Recommender recommender2,
int samples,
RunningAverage tracker,
String tag)
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