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Posted to issues@spark.apache.org by "Nick Pentreath (JIRA)" <ji...@apache.org> on 2017/02/24 07:16:44 UTC
[jira] [Comment Edited] (SPARK-3246) Support weighted SVMWithSGD
for classification of unbalanced dataset
[ https://issues.apache.org/jira/browse/SPARK-3246?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15882113#comment-15882113 ]
Nick Pentreath edited comment on SPARK-3246 at 2/24/17 7:15 AM:
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Since {{mllib}} is in maintenance mode and {{LinearSVC}} was added in SPARK-14709 (and supports {{weightCol}}, I am going to close this as Wont Fix
was (Author: mlnick):
Since {{mllib}} is in maintenance mode and {{LinearSVC}} was added in SPARK-14709, I am going to close this as Wont Fix
> Support weighted SVMWithSGD for classification of unbalanced dataset
> --------------------------------------------------------------------
>
> Key: SPARK-3246
> URL: https://issues.apache.org/jira/browse/SPARK-3246
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 0.9.0, 1.0.2
> Reporter: mahesh bhole
>
> Please support weighted SVMWithSGD for binary classification of unbalanced dataset.Though other options like undersampling or oversampling can be used,It will be good if we can have a way to assign weights to minority class.
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