HI all,
I started testing my code (https://github.com/salexln/FinalProject_FCM)
with the latest Spark available in GitHub,
and when I run it I get the following errors:
*scala> val clusters = FuzzyCMeans.train(parsedData, 2, 20, 2.0)*
16/03/27 22:24:10 WARN BlockManager: Block rdd_8_0 alre
I see, so in order the RDD to be completely immutable, its content should be
immutable as well.
And if the content is not immutable, we can change its content, but cannot
add / remove data?
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Hi Yu,
thanks for the reply.
I only run it in my machine (in order to debug the algorithm) . What other
conditions did you have it mind?
My whole code is here: https://github.com/salexln/FinalProject_FCM
Best,
Alex
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Hi guys,
I know the RDDs are immutable and therefore their value cannot be changed
but I see the following behaviour:
I wrote an implementation for FuzzyCMeans algorithm and now I'm testing it,
so i run the following example:
import org.apache.spark.mllib.clustering.FuzzyCMeans
import org.apache.s
Thanks for the response, I have several more questions:
*1) you should run zinc incremental compiler*
I run "./build/zinc-0.3.9/bin/zinc -scala-home $SCALA_HOME -nailed -start"
but the compilation time of
"build/mvn -DskipTests package' is still about 9 mins. Is this normal?
*2) if you want brea
Hi guys,
I'm debugging my code in mllib/clustering but i'm not sure i'm doing it the
best way:
I build my changes in mllib using "build/mvn -DskipTests package" and then
running invoking my code using
"./bin/spark-shell"
My two main issues:
1) After each change the build (build/mvn -DskipTests p
One more question:
Is there a way only to build the MLlib using command line?
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-
Updating Maven version to 3.3.9 solved the issue
Thanks everyone!
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Hi all,
I'm getting build error when trying to build a clean version of latest
Spark. I did the following
1) git clone https://github.com/apache/spark.git
2) build/mvn -DskipTests clean package
But I get the following error:
Spark Project Parent POM .. FAILURE [2.338s]
Hi guys,
I'm working on implementation of FuzzyCMeans
(https://issues.apache.org/jira/browse/SPARK-2344),
and wanted your thought on whether should FuzzyCMeans class inherit from
KMeans?
On the one hand, they have a lot of in common, but on the other hand, other
algorithms based on KMeans (Bisecti
Hi guys,
Does anyone know what is the status of this issue?
(https://issues.apache.org/jira/browse/SPARK-2344)
Beniamino was supposed to add an implementation but it seems that his code
was removed from Github
(https://github.com/bdelpizzo/mllib-extension/blob/master/clustering/FCM.scala)
and h
Hi guys,
I'm working on the implementation of the FuzzyCMeans algorithm (Jira
https://issues.apache.org/jira/browse/SPARK-2344)
and I need to use some operations on Matrices (norm & subtraction)
I could not find any Scala\ Spark Matrix class that will support these
actions.
Should I implement th
thanks for the input.
at the moment , I don't have any code commits yet.
I wanted to discuss the algorithm implementation prior to the code
submission.
(never work with Git\ GutHub - so I hope this isn't very basic stuff)
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I opened a JIRA (https://issues.apache.org/jira/browse/SPARK-2344)
and a pull request for this (https://github.com/salexln/spark/pull/1)
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thanks for the response !
that's is exactly the way i wanted to implement it :)
I will create JIRA ticket and a request.
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guys??? anyone???
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Hi guys,
I'm new to Spark & MLlib and this may be a dumb question, but still
As part of my M.Sc project, i'm working on implementation of Fuzzy C-means
(FCM) algorithm in MLlib.
FCM has many things in common with K - Means algorithm, which is already
implemented, and I wanted to know whether
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