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Alexander Ulanov commented on SPARK-5912:
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I've almost written the ChiSquared sect
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Alexander Ulanov commented on SPARK-5912:
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Sure, I can. Could you point me to some
Alexander Ulanov created SPARK-5575:
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Summary: Artificial neural networks for MLlib deep learning
Key: SPARK-5575
URL: https://issues.apache.org/jira/browse/SPARK-5575
Project: Spark
Issue
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Alexander Ulanov commented on SPARK-5386:
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Thank you, it might be the problem. I w
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Alexander Ulanov edited comment on SPARK-5386 at 1/23/15 6:52 PM:
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Alexander Ulanov updated SPARK-5386:
Description:
Code:
import org.apache.spark.mllib.rdd.RDDFunctions._
import breeze.linalg._
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Alexander Ulanov commented on SPARK-5386:
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Thank you for suggestions.
1. count() d
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Alexander Ulanov commented on SPARK-5386:
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My spark-env.sh contains:
export SPARK_
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Alexander Ulanov commented on SPARK-5386:
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I allocate 8G for driver and each worke
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Alexander Ulanov updated SPARK-5386:
Environment:
Overall:
6 machine cluster (Xeon 3.3GHz 4 cores, 16GB RAM, Ubuntu), each runs 2
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Alexander Ulanov updated SPARK-5386:
Description:
Code:
import org.apache.spark.mllib.rdd.RDDFunctions._
import breeze.linalg._
Alexander Ulanov created SPARK-5386:
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Summary: Reduce fails with vectors of big length
Key: SPARK-5386
URL: https://issues.apache.org/jira/browse/SPARK-5386
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-5256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14286706#comment-14286706
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Alexander Ulanov commented on SPARK-5256:
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I've implemented my proposition with Ve
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Alexander Ulanov commented on SPARK-5362:
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https://github.com/apache/spark/pull/41
Alexander Ulanov created SPARK-5362:
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Summary: Gradient and Optimizer to support generic output (instead
of label) and data batches
Key: SPARK-5362
URL: https://issues.apache.org/jira/browse/SPARK-5362
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Alexander Ulanov commented on SPARK-5256:
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Also, asynchronous gradient update migh
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Alexander Ulanov commented on SPARK-5256:
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I would like to improve Gradient interf
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Alexander Ulanov edited comment on SPARK-2623 at 12/12/14 7:31 PM:
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Alexander Ulanov commented on SPARK-2623:
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Relevant PR: artificial neural networks
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Alexander Ulanov commented on SPARK-4752:
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The initial implementation can be found
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Alexander Ulanov edited comment on SPARK-4752 at 12/5/14 12:51 AM:
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Alexander Ulanov created SPARK-4752:
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Summary: Classifier based on artificial neural network
Key: SPARK-4752
URL: https://issues.apache.org/jira/browse/SPARK-4752
Project: Spark
Issue Type:
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Alexander Ulanov commented on SPARK-3403:
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Thanks, Sam! Posted to OpenBLAS: https:
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Alexander Ulanov edited comment on SPARK-3403 at 9/19/14 7:16 AM:
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Alexander Ulanov commented on SPARK-3403:
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Posted to netlib-java: https://github.c
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Alexander Ulanov commented on SPARK-3403:
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Thank you, your answers are really help
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Alexander Ulanov edited comment on SPARK-3403 at 9/5/14 9:53 AM:
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Alexander Ulanov commented on SPARK-3403:
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I managed to compile OpenBLAS with MING
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Alexander Ulanov commented on SPARK-3403:
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Yes, I tried using netlib-java separate
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Alexander Ulanov updated SPARK-3403:
Attachment: NativeNN.scala
The file contains example that produces the same issue
> NaiveBa
Alexander Ulanov created SPARK-3403:
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Summary: NaiveBayes crashes with blas/lapack native libraries for
breeze (netlib-java)
Key: SPARK-3403
URL: https://issues.apache.org/jira/browse/SPARK-3403
Pro
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Alexander Ulanov commented on SPARK-1473:
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I've implemented Chi-Squared and added
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Alexander Ulanov edited comment on SPARK-1473 at 8/8/14 8:27 AM:
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Alexander Ulanov commented on SPARK-1473:
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Does anybody work on this issue?
> Fea
Alexander Ulanov created SPARK-2329:
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Summary: Add multi-label evaluation metrics
Key: SPARK-2329
URL: https://issues.apache.org/jira/browse/SPARK-2329
Project: Spark
Issue Type: New Featur
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Alexander Ulanov commented on SPARK-:
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The micro averaged Precision and Recall
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Alexander Ulanov commented on SPARK-:
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Hi Jun,
I've already implemented this
Alexander Ulanov created SPARK-:
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Summary: Add multiclass evaluation metrics
Key: SPARK-
URL: https://issues.apache.org/jira/browse/SPARK-
Project: Spark
Issue Type: New Feature
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