Details
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Umbrella
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Status: Resolved
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Major
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Resolution: Done
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None
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Description
This is an umbrella for expanding the set of data types which spark.ml Pipeline stages can take. This should not involve breaking APIs, but merely involve slight changes such as supporting all Numeric types instead of just Double.
Attachments
Issue Links
- is related to
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SPARK-15153 SparkR spark.naiveBayes throws error when label is numeric type
- Resolved
- relates to
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SPARK-5874 How to improve the current ML pipeline API?
- Resolved