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Packages that use net.sf.jagg | |
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net.sf.jagg | Provides the classes and API necessary to perform aggregate operations. |
Classes in net.sf.jagg used by net.sf.jagg | |
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AbstractCovarianceAggregator
This abstract class represents covariance-like aggregator calculations over numeric values. |
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AbstractVarianceAggregator
This abstract class represents variance-like aggregator calculations over numeric values. |
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AggregateValue
This class represents the result of a "group by" operation, where certain fields of a type are selected for a "group by", and certain values can be extracted by referring to Aggregators . |
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Aggregation
The Aggregation class performs the actual aggregation
operations. |
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Aggregation.Builder
This Builder class follows the "Builder" pattern to create
an Aggregation object. |
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Aggregator
This abstract class allows for the state necessary to implement aggregate functions. |
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AggregatorCache
Created as a wrapper around a HashMap that maps aggregator specification strings to Lists of Aggregators . |
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AvgAggregator
This class represents the "avg" aggregator over numeric values. |
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CollectAggregator
This class allows represents the "collect" aggregator over any values. |
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ConcatAggregator
This class represents the "concatenation" aggregator over any values for which toString is well-defined, with an optional separator
String between values. |
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CorrelationAggregator
This class represents the "coefficient of correlation" aggregator over two sets of numeric values. |
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CountAggregator
This class represents the "count" aggregator over any values. |
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CovarianceAggregator
This class represents the "sample covariance" aggregator over two sets of numeric values. |
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CovariancePopAggregator
This class represents the "population covariance" aggregator over two sets of numeric values. |
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DoubleDouble
A DoubleDouble is used when extra precision is necessary to
cut way down on floating point errors. |
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GeometricMeanAggregator
This class represents the "geometric mean" aggregator over numeric values. |
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HarmonicMeanAggregator
This class represents the "harmonic mean" aggregator over numeric values. |
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LinearRegressionAggregator
This class represents the "linear regression" aggregator over two sets of numeric values. |
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LinearRegressionStats
This class represents all statistics generated by a LinearRegressionAggregator . |
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MaxAggregator
This class represents the "max" aggregator over Comparable
values. |
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MethodCache
Created as a wrapper around a HashMap that maps property names
to Methods . |
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MethodCall
A MethodCall bundles a Method object and an array
of parameter values together so they can go together into a Map
as the value. |
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MinAggregator
This class represents the "min" aggregator over Comparable
values. |
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ModeAggregator
This class represents the "mode" aggregator over Comparable
values. |
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PercentileAggregator
This class allows represents the "percentile" aggregator over numeric values. |
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ProductAggregator
This class allows represents the "product" aggregator over numeric values. |
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PropertyScanner.Token
Enumeration for the different types of Tokens. |
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StdDevAggregator
This class represents the "sample standard deviation" aggregator over numeric values. |
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StdDevPopAggregator
This class represents the "population standard deviation" aggregator over numeric values. |
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SumAggregator
This class represents the "sum" aggregator over numeric values. |
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TwoPropAggregator
This abstract class allows for the state necessary to implement aggregate functions over two variables (properties). |
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VarianceAggregator
This class represents the "sample variance" aggregator over numeric values. |
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VariancePopAggregator
This class represents the "population variance" aggregator over numeric values. |
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