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https://issues.apache.org/jira/browse/SPARK-11834?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15241511#comment-15241511
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Jeremy edited comment on SPARK-11834 at 4/14/16 5:03 PM:
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Looking into this JIRA, checkThresholdConsistency() and validateParams() are
not called in ml.classification.LogisticRegression.scala, and so I can set
inconsistent values with setThreshold() and setThresholds() and get predictions
that run cleanly and that are consistent with the value for setThreshold().
Checking the documentation, it has been updated to reflect that only binary
classes are supported.
was (Author: jeremynixon):
Looking into this JIRA, checkThresholdConsistency() and validateParams() are
not called in ml.classification.LogisticRegression.scala, and so I can set
> Ignore thresholds in LogisticRegression and update documentation
> ----------------------------------------------------------------
>
> Key: SPARK-11834
> URL: https://issues.apache.org/jira/browse/SPARK-11834
> Project: Spark
> Issue Type: Improvement
> Components: Documentation, ML
> Affects Versions: 1.6.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Priority: Minor
>
> ml.LogisticRegression does not support multiclass yet. So we should ignore
> `thresholds` and update the documentation. In the next release, we can do
> SPARK-11543.
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