Joseph K. Bradley created SPARK-7409:
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Summary: Designing multilabel abstractions for spark.ml
Key: SPARK-7409
URL: https://issues.apache.org/jira/browse/SPARK-7409
Project: Spark
Issue Type: Brainstorming
Components: ML
Reporter: Joseph K. Bradley
This JIRA is for discussing how to support multi-label prediction in the
Pipelines API (spark.ml package). Some issues to figure out are:
* Should there be abstractions?
** How should they relate to the existing single-label abstractions: Predictor,
Classifier, Regressor?
** How much code sharing can the abstractions provide?
* How should we support a mix of categorical and real-valued labels?
* How do we support structure among the labels? There could be no known
structure, a graphical structure, a chain structure, etc., depending on the
application/model.
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