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https://issues.apache.org/jira/browse/SPARK-16618?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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mahendra singh updated SPARK-16618:
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Description: spark naive bayes does not support for binary classification .
I checked with both ML and MLLIB . According to current scenario Naive bayes
only support multi class classification . We have to write code for binary
classification also .As we know logistic regression support binary
classification . Mean we can not get ROC and PR curve using spark naive ,
even if we give only two class( category or distinct label values) (was: spark
naive bayes does not support for binary classification . I checked with both ML
and MLLIB . According to current scenario Naive bayes only support multi class
classification . We have to write code for binary classification also .As we
know logistic regression support binary classification . )
> Binary classification using Naive bayes
> ----------------------------------------
>
> Key: SPARK-16618
> URL: https://issues.apache.org/jira/browse/SPARK-16618
> Project: Spark
> Issue Type: Bug
> Components: ML, MLlib
> Affects Versions: 1.6.2
> Reporter: mahendra singh
> Fix For: 1.6.3
>
> Original Estimate: 96h
> Remaining Estimate: 96h
>
> spark naive bayes does not support for binary classification . I checked with
> both ML and MLLIB . According to current scenario Naive bayes only support
> multi class classification . We have to write code for binary classification
> also .As we know logistic regression support binary classification . Mean
> we can not get ROC and PR curve using spark naive , even if we give only two
> class( category or distinct label values)
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