[GitHub] [spark] shahidki31 commented on a change in pull request #24230: [SPARK-27295][GraphX] Provision to provide the initial scores for source nodes while running Personalized Page Rank

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shahidki31 commented on a change in pull request #24230: [SPARK-27295][GraphX] Provision to provide the initial scores for source nodes while running Personalized Page Rank
URL: https://github.com/apache/spark/pull/24230#discussion_r271144876
 
 

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 File path: graphx/src/main/scala/org/apache/spark/graphx/lib/PageRank.scala
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 @@ -189,6 +189,33 @@ object PageRank extends Logging {
       numIter: Int,
       resetProb: Double = 0.15,
       sources: Array[VertexId]): Graph[Vector, Double] = {
+    val sourcesWithScores = sources.map((_, 1.0))
+    runParallelPersonalizedPageRank(graph, numIter, resetProb, sourcesWithScores)
+  }
+
+  /**
+   * Run Personalized PageRank for a fixed number of iterations, for a
+   * set of starting nodes in parallel. Returns a graph with vertex attributes
+   * containing the pagerank relative to all starting nodes (as a sparse vector) and
+   * edge attributes the normalized edge weight
+   *
+   * @tparam VD The original vertex attribute (not used)
+   * @tparam ED The original edge attribute (not used)
+   *
+   * @param graph The graph on which to compute personalized pagerank
+   * @param numIter The number of iterations to run
+   * @param resetProb The random reset probability
+   * @param sources The list of (source, initial score) to compute personalized pagerank from
+   * @return the graph with vertex attributes
+   *         containing the pagerank relative to all starting nodes (as a sparse vector
+   *         indexed by the position of nodes in the sources list) and
+   *         edge attributes the normalized edge weight
+   */
 
 Review comment:
   @since 3.0.0 ?

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