[
https://issues.apache.org/jira/browse/SPARK-16692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen updated SPARK-16692:
------------------------------
Target Version/s: (was: 1.6.0)
> multilabel classification to DataFrame, ML
> -------------------------------------------
>
> Key: SPARK-16692
> URL: https://issues.apache.org/jira/browse/SPARK-16692
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Reporter: Weizhi Li
> Priority: Minor
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> For the multi labels evaluations. There is a method to in MLlib named
> MultilabelMetrics: A multilabel classification problem involves mapping each
> sample in a dataset to a set of class labels. In this type of classification
> problem, the labels are not mutually exclusive. For example, when classifying
> a set of news articles into topics, a single article might be both science
> and politics.
> Added this method to support DataFrame in ML.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
