Github user WeichenXu123 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21119#discussion_r184343934
--- Diff: python/pyspark/ml/clustering.py ---
@@ -1156,6 +1156,201 @@ def getKeepLastCheckpoint(self):
return self.getOrDefault(self.keepLastCheckpoint)
+class _PowerIterationClusteringParams(JavaParams, HasMaxIter,
HasPredictionCol):
+ """
+ Params for :py:attr:`PowerIterationClustering`.
+ .. versionadded:: 2.4.0
+ """
+
+ k = Param(Params._dummy(), "k",
+ "The number of clusters to create. Must be > 1.",
+ typeConverter=TypeConverters.toInt)
+ initMode = Param(Params._dummy(), "initMode",
+ "The initialization algorithm. This can be either " +
+ "'random' to use a random vector as vertex
properties, or 'degree' to use " +
+ "a normalized sum of similarities with other
vertices. Supported options: " +
+ "'random' and 'degree'.",
+ typeConverter=TypeConverters.toString)
+ idCol = Param(Params._dummy(), "idCol",
+ "Name of the input column for vertex IDs.",
+ typeConverter=TypeConverters.toString)
+ neighborsCol = Param(Params._dummy(), "neighborsCol",
+ "Name of the input column for neighbors in the
adjacency list " +
+ "representation.",
+ typeConverter=TypeConverters.toString)
+ similaritiesCol = Param(Params._dummy(), "similaritiesCol",
+ "Name of the input column for non-negative
weights (similarities) " +
+ "of edges between the vertex in `idCol` and
each neighbor in " +
+ "`neighborsCol`",
+ typeConverter=TypeConverters.toString)
+
+ @since("2.4.0")
+ def getK(self):
+ """
+ Gets the value of `k`
+ """
+ return self.getOrDefault(self.k)
+
+ @since("2.4.0")
+ def getInitMode(self):
+ """
+ Gets the value of `initMode`
+ """
+ return self.getOrDefault(self.initMode)
+
+ @since("2.4.0")
+ def getIdCol(self):
+ """
+ Gets the value of `idCol`
+ """
+ return self.getOrDefault(self.idCol)
+
+ @since("2.4.0")
+ def getNeighborsCol(self):
+ """
+ Gets the value of `neighborsCol`
+ """
+ return self.getOrDefault(self.neighborsCol)
+
+ @since("2.4.0")
+ def getSimilaritiesCol(self):
+ """
+ Gets the value of `similaritiesCol`
+ """
+ return self.getOrDefault(self.binary)
+
+
+@inherit_doc
+class PowerIterationClustering(JavaTransformer,
_PowerIterationClusteringParams, JavaMLReadable,
+ JavaMLWritable):
+ """
+ Model produced by [[PowerIterationClustering]].
--- End diff --
The doc is wrong. Copy doc from scala side.
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