- PageRankBasic - Class in org.apache.flink.examples.java.graph
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A basic implementation of the Page Rank algorithm using a bulk iteration.
- PageRankBasic() - Constructor for class org.apache.flink.examples.java.graph.PageRankBasic
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- PageRankBasic.BuildOutgoingEdgeList - Class in org.apache.flink.examples.java.graph
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A reduce function that takes a sequence of edges and builds the adjacency list for the vertex where the edges
originate.
- PageRankBasic.Dampener - Class in org.apache.flink.examples.java.graph
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The function that applies the page rank dampening formula
- PageRankBasic.EpsilonFilter - Class in org.apache.flink.examples.java.graph
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Filter that filters vertices where the rank difference is below a threshold.
- PageRankBasic.JoinVertexWithEdgesMatch - Class in org.apache.flink.examples.java.graph
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Join function that distributes a fraction of a vertex's rank to all neighbors.
- PageRankBasic.RankAssigner - Class in org.apache.flink.examples.java.graph
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A map function that assigns an initial rank to all pages.
- PageRankData - Class in org.apache.flink.examples.java.graph.util
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Provides the default data sets used for the PageRank example program.
- PageRankData() - Constructor for class org.apache.flink.examples.java.graph.util.PageRankData
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- Params() - Constructor for class org.apache.flink.examples.java.ml.LinearRegression.Params
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- Params(double, double) - Constructor for class org.apache.flink.examples.java.ml.LinearRegression.Params
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- PARAMS - Static variable in class org.apache.flink.examples.java.ml.util.LinearRegressionData
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- PiEstimation - Class in org.apache.flink.examples.java.misc
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Estimates the value of Pi using the Monte Carlo method.
- PiEstimation() - Constructor for class org.apache.flink.examples.java.misc.PiEstimation
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- PiEstimation.Sampler - Class in org.apache.flink.examples.java.misc
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Sampler randomly emits points that fall within a square of edge x * y.
- PiEstimation.SumReducer - Class in org.apache.flink.examples.java.misc
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Simply sums up all long values.
- Point() - Constructor for class org.apache.flink.examples.java.clustering.KMeans.Point
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- Point(double, double) - Constructor for class org.apache.flink.examples.java.clustering.KMeans.Point
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- POINTS - Static variable in class org.apache.flink.examples.java.clustering.util.KMeansData
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- PojoExample - Class in org.apache.flink.examples.java.wordcount
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This example shows an implementation of Wordcount without using the
Tuple2 type, but a custom class.
- PojoExample() - Constructor for class org.apache.flink.examples.java.wordcount.PojoExample
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- PojoExample.Tokenizer - Class in org.apache.flink.examples.java.wordcount
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Implements the string tokenizer that splits sentences into words as a user-defined
FlatMapFunction.
- PojoExample.Word - Class in org.apache.flink.examples.java.wordcount
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This is the POJO (Plain Old Java Object) that is being used
for all the operations.