Weizhi Li created SPARK-16692:
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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.
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