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Merge e1691d5f25 into 72eda9a24f

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ImperiumTakp 2023-07-17 21:40:32 -05:00 committed by GitHub
commit 7382d72eaa
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1 changed files with 42 additions and 49 deletions
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51
src/scala/com/twitter/simclusters_v2/scalding/UpdateKnownFor.scala
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@ -120,15 +120,15 @@ object UpdateKnownFor {
clusterScoresToFinalScore: ClusterScoresForNode => Double,
minNeighborsInCluster: Int
): Option[(Int, Double)] = {
val clusterToScores = statsOfClustersInNeighborhood.toList.flatMap {
statsOfClustersInNeighborhood
.toList
.flatMap {
case (clusterId, statsInNeighborhood) =>
val clusterOverallStats = clusterOverallStatsMap(clusterId)
if (statsInNeighborhood.nodeCount >= minNeighborsInCluster) {
Some(
(
clusterId,
clusterScoresToFinalScore(
getScoresForCluster(
statsInNeighborhood match {
case statsInNeighborhood if statsInNeighborhood.nodeCount < minNeighborsInCluster => None
case _ =>
val score = getScoresForCluster(
overallNeighborhoodStats,
statsInNeighborhood,
clusterOverallStats.nodeCount,
@ -136,16 +136,12 @@ object UpdateKnownFor {
globalAvgEdgeWeight,
truePositiveWtFactor
)
)
)
)
} else {
None
Some((clusterId, clusterScoresToFinalScore(score)))
}
} match {
case scores if scores.isEmpty => None
case _ => Some(clusterToScores.maxBy(_._2))
}
if (clusterToScores.nonEmpty) {
Some(clusterToScores.maxBy(_._2))
} else None
}
def updateGeneric(
@ -170,10 +166,11 @@ object UpdateKnownFor {
collectInformationPerNode(graph, inputUserToClusters, avgMembershipScore)
.mapValues {
case NodeInformation(originalClusters, overallStats, statsOfClustersInNeighborhood) =>
val newClusterWithScoreOpt = if (overallStats.nodeCount < minNeighborsInCluster) {
overallStats match {
case stats if (overallStats.nodeCount < minNeighborsInCluster) =>
nodesWithSmallDegree.inc()
None
} else {
case _ =>
pickBestCluster(
overallStats,
statsOfClustersInNeighborhood,
@ -183,22 +180,18 @@ object UpdateKnownFor {
clusterScoresToFinalScore,
minNeighborsInCluster
)
}
newClusterWithScoreOpt match {
} match {
case Some((newClusterId, score)) =>
if (originalClusters.isEmpty) {
emptyToSomething.inc()
} else if (originalClusters.contains(newClusterId)) {
sameCluster.inc()
} else {
diffCluster.inc()
originalClusters match {
case cluster if cluster.isEmpty => emptyToSomething.inc()
case cluster if cluster.contains(newClusterId) => sameCluster.inc()
case _ => diffCluster.inc()
}
Array((newClusterId, score.toFloat))
case None =>
if (originalClusters.isEmpty) {
emptyToEmpty.inc()
} else {
somethingToEmpty.inc()
originalClusters match {
case cluster if cluster.isEmpty => emptyToEmpty.inc()
case _ => somethingToEmpty.inc()
}
Array.empty[(Int, Float)]
}