Weizhi Li created SPARK-16692: --------------------------------- Summary: multi labels evaluations to Dataframe. 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
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