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https://issues.apache.org/jira/browse/SPARK-6244?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-6244:
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Priority: Minor (was: Major)
> Implement VectorSpace to easy create a complicated feature vector
> -----------------------------------------------------------------
>
> Key: SPARK-6244
> URL: https://issues.apache.org/jira/browse/SPARK-6244
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Kirill A. Korinskiy
> Priority: Minor
>
> VectorSpace is wrapper what implement three operation:
> - concat -- concat all vectors to single vector
> - sum -- sum of vectors
> - scaled -- multiple scalar to vector
>
> Example of usage:
> ```
> import org.apache.spark.mllib.linalg.Vectors
> import org.apache.spark.mllib.linalg.VectorSpace
> // Create a new Vector Space with one dense vector.
> val vs = VectorSpace.create(Vectors.dense(1.0, 0.0, 3.0))
> // Add a to vector space a scaled vector space
> val vs2 = vs.add(vs.scaled(-1d))
> // concat vectors from vector space, result: Vectors.dense(1.0, 0.0, 3.0,
> -1.0, 0.0, -3.0)
> val concat = vs2.concat
> // take a sum from vector space, result: Vectors.dense(0.0, 0.0, 0.0)
> val sum = vs2.sum
> ```
> This wrapper is very useful when create a complicated feature vector from
> structured objects.
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