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https://issues.apache.org/jira/browse/SPARK-2909?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-2909:
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Description: SparseVector in pyspark does not currently support indexing,
except by examining the internal representation. Though indexing is a pricy
operation, it would be useful for, e.g., iterating through a dataset
(RDD[LabeledPoint]) and operating on a single feature. (was: Vectors
(DenseVector and SparseVector) in pyspark do not currently support indexing,
except by examining the internal representation. Though indexing is a pricy
operation, it would be useful for, e.g., iterating through a dataset
(RDD[LabeledPoint]) and operating on a single feature.)
> Indexing for SparseVector in pyspark
> ------------------------------------
>
> Key: SPARK-2909
> URL: https://issues.apache.org/jira/browse/SPARK-2909
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, PySpark
> Reporter: Joseph K. Bradley
> Priority: Minor
>
> SparseVector in pyspark does not currently support indexing, except by
> examining the internal representation. Though indexing is a pricy operation,
> it would be useful for, e.g., iterating through a dataset (RDD[LabeledPoint])
> and operating on a single feature.
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