Github user mengxr commented on the pull request:
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LGTM except minor user guide issues, which will be addressed in SPARK-5503.
I've merged this into master. Thanks for the contributing! (Now MLlib depends
on GraphX.)
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--- Diff: docs/mllib-clustering.md ---
@@ -34,6 +34,26 @@ a given dataset, the algorithm returns the best
clustering result).
* *initializationSteps*
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--- Diff: docs/mllib-clustering.md ---
@@ -34,6 +34,26 @@ a given dataset, the algorithm returns the best
clustering result).
* *initializationSteps*
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala
---
@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala
---
@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache
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--- Diff:
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---
@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala
---
@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache
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--- Diff: mllib/pom.xml ---
@@ -103,6 +108,13 @@
typetest-jar/type
scopetest/scope
/dependency
+!--dependency
---
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--- Diff: docs/mllib-clustering-pic.md ---
@@ -0,0 +1,30 @@
+---
+layout: global
+title: Clustering - MLlib
+displayTitle: a
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala
---
@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache
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--- Diff: docs/mllib-clustering-pic.md ---
@@ -0,0 +1,30 @@
+---
--- End diff --
Shall we make it a section in `mllib-clustering.md`?
---
If
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--- Diff:
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---
@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache
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--- Diff:
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@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache
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@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache
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--- Diff:
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---
@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache
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--- Diff:
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---
@@ -0,0 +1,317 @@
+/*
+ * Licensed to the
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--- Diff:
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---
@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache
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--- Diff:
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@@ -0,0 +1,220 @@
+/*
+ * Licensed to the Apache
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@@ -0,0 +1,220 @@
+/*
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@@ -0,0 +1,220 @@
+/*
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@@ -0,0 +1,220 @@
+/*
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@@ -0,0 +1,220 @@
+/*
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---
@@ -0,0 +1,220 @@
+/*
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Github user mengxr commented on the pull request:
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@fjiang6 @javadba Please focus on the public APIs first and then the
implementation. The best way to check public APIs is generating the html doc
and look what are
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@@ -0,0 +1,220 @@
+/*
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@@ -0,0 +1,317 @@
+/*
+ * Licensed to the
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--- Diff: docs/mllib-clustering-pic.md ---
@@ -0,0 +1,30 @@
+---
--- End diff --
OK
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--- Diff: docs/mllib-clustering-pic.md ---
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+---
+layout: global
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+displayTitle: a
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--- Diff: mllib/pom.xml ---
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typetest-jar/type
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--- Diff: data/mllib/pic_data.txt ---
@@ -0,0 +1,299 @@
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[SPARK-4259][MLlib]: Add Power Iteration Clustering Algorithm with Gaussian
Similarity Function
Add single pseudo-eigenvector PIC
Including documentations, one property file and updated pom.xml
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For spectral clustering, the input should be pairwise distances, e.g.,
`RDD[(Long, Long, Double)]`. It could be converted into a Graph easily with
`fromEdgeRDD`. Besides,
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I have moved out the Gaussian / Affinity matrix calculations. It is not
clear where their new home / if they have a new home. Presently the testcases
rely upon them -
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--- Diff: mllib/src/test/resources/log4j.mllib.properties ---
@@ -0,0 +1,41 @@
+#
--- End diff --
Remove this file from the PR.
---
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@@ -0,0 +1,433 @@
+/*
+ * Licensed to the Apache Software
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RE:
Is it possible to do Gaussian similarity in another PR? It should be
part of the feature transformation but not within PIC. It would be easier for
code
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Is it possible to do Gaussian similarity in another PR? It should be part
of the feature transformation but not within PIC.
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@@ -0,0 +1,433 @@
+/*
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@@ -0,0 +1,140 @@
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Github user javadba commented on the pull request:
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Hi,
We have suggestion here: to separate the creation/definition of the input
graph from the PIC:
val G = PIC.createGaussianAffinityMatrix(sc,
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https://github.com/apache/spark/pull/4254#discussion_r23728918
--- Diff: mllib/src/test/resources/log4j.mllib.properties ---
@@ -0,0 +1,41 @@
+#
--- End diff --
OK
---
If your project is set up for it,
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