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Posted to issues@spark.apache.org by "mahendra singh (JIRA)" <ji...@apache.org> on 2016/07/19 07:03:20 UTC
[jira] [Updated] (SPARK-16618) Binary classification using Naive
bayes
[ https://issues.apache.org/jira/browse/SPARK-16618?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
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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