[jira] [Updated] (SPARK-16692) multilabel classification to DataFrame, ML
[ 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
[jira] [Updated] (SPARK-16692) multilabel classification to DataFrame, ML
[ https://issues.apache.org/jira/browse/SPARK-16692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Weizhi Li updated SPARK-16692: -- Summary: multilabel classification to DataFrame, ML (was: multi labels evaluations to Dataframe. ) > 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
