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EvaluationExample.scala
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EvaluationExample.scala
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package net.sansa_stack.rdf.partition.spark.example
import net.sansa_stack.rdf.partition.spark.evaluation.PartitionAlgoMetrics
import net.sansa_stack.rdf.partition.spark.algo.{ObjectHashPartition, PathPartition, SOHashPartition, SubjectHashPartition}
import net.sansa_stack.rdf.partition.spark.utils.InitialGraph
import org.apache.spark.sql.SparkSession
object EvaluationExample {
def main(args: Array[String]): Unit = {
val path = "src/main/resources/Clustering_sampledata1.nt"
val master = "local[4]"
val session = SparkSession.builder()
.master(master)
.appName("Evaluation")
.getOrCreate()
val graph = InitialGraph.apply(session, path).cache()
val pp = new PathPartition(graph, session)
val shp = new SubjectHashPartition(graph, session)
val ohp = new ObjectHashPartition(graph, session)
val sohp = new SOHashPartition(graph, session)
val ppam = new PartitionAlgoMetrics(pp)
val spam = new PartitionAlgoMetrics(shp)
val opam = new PartitionAlgoMetrics(ohp)
val sopam = new PartitionAlgoMetrics(sohp)
println("PathPartition | SubjectHashPartition | ObjectHashPartition | SOHashPartition")
println("Duplication: "+ppam.duplication()+" | "+spam.duplication()+" | "+opam.duplication()+" | "+sopam.duplication())
println("Balance: "+ppam.balance()+" | "+spam.balance()+" | "+opam.balance()+" | "+sopam.balance())
println("Efficiency: "+ppam.efficiency()+" | "+spam.efficiency()+" | "+opam.efficiency()+" | "+sopam.efficiency())
}
}