spark-reviews mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From wangmiao1981 <...@git.apache.org>
Subject [GitHub] spark issue #16464: [SPARK-19066][SparkR]:SparkR LDA doesn't set optimizer c...
Date Fri, 06 Jan 2017 19:59:19 GMT
Github user wangmiao1981 commented on the issue:

    https://github.com/apache/spark/pull/16464
  
    I print out the values of each step of `seqOp`, `graph.vertices.aggregate(0.0)(seqOp,
_ + _)` just returns the `seqOp` of the last vertex.
    VertexID sequence for original model:
    -8 -6 -3 10 -5 4 11 -1 0 1 -2 6 -7 7 8 -10 -9 9 -4 3 -11 5 2
    For this sequence, it returns the value of Vertex2.
    VertexID sequence for the loaded model:
    3 5 2 -11 -5 4 11 -1 0 1 -2 6 -7 -8 7 -10 8 9 -9 -4 10 -6 -3
    For this sequence, it returns the value of Vertex -3.
    
    Actually, the value of Vertex2 is the same in both sequences (same of Vertex -3 too).
    
    It seems that `graph.vertices.aggregate(0.0)(seqOp, _ + _)`  doesn't returns the aggregated
value as it is supposed to return (i.e., `sum(SeqOp(Vertex_i))` ). 



---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org


Mime
View raw message