Joseph K. Bradley created SPARK-8418:
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Summary: Add single- and multi-value support to ML Transformers
Key: SPARK-8418
URL: https://issues.apache.org/jira/browse/SPARK-8418
Project: Spark
Issue Type: Sub-task
Components: ML
Reporter: Joseph K. Bradley
It would be convenient if all feature transformers supported transforming
columns of single values and multiple values, specifically:
* one column with one value (e.g., type {{Double}})
* one column with multiple values (e.g., {{Array[Double]}} or {{Vector}})
We could go as far as supporting multiple columns, but that may not be
necessary since VectorAssembler could be used to handle that.
Estimators under {{ml.feature}} should also support this.
This will likely require a short design doc to describe:
* how input and output columns will be specified
* schema validation
* code sharing to reduce duplication
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