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https://issues.apache.org/jira/browse/SPARK-23085?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23085:
------------------------------------

    Assignee: Apache Spark

> API parity for mllib.linalg.Vectors.sparse 
> -------------------------------------------
>
>                 Key: SPARK-23085
>                 URL: https://issues.apache.org/jira/browse/SPARK-23085
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.4.0
>            Reporter: zhengruifeng
>            Assignee: Apache Spark
>            Priority: Minor
>
> Both {{ML.Vectors#sparse(size: {color:#cc7832}Int, {color}indices: 
> Array[{color:#cc7832}Int{color}]{color:#cc7832}, {color}values: 
> Array[{color:#cc7832}Double{color}]}} and {{ML.Vectors#sparse(size: 
> {color:#cc7832}Int, {color}elements: 
> {color:#4e807d}Seq{color}[({color:#cc7832}Int, Double{color})])}} support 
> zero-length vectors.
> In old MLLib,
> {{MLLib.Vectors.sparse(size: {color:#cc7832}Int, {color}indices: 
> Array[{color:#cc7832}Int{color}]{color:#cc7832}, {color}values: 
> Array[{color:#cc7832}Double{color}])}} also supports it.
> However,
> {{ML.Vectors#sparse(size: {color:#cc7832}Int, {color}elements: 
> {color:#4e807d}Seq{color}[({color:#cc7832}Int, Double{color})])}} require a 
> positve length.
>  
> {code:java}
> scala> org.apache.spark.ml.linalg.Vectors.sparse(0, Array.empty[Int], 
> Array.empty[Double])
> res15: org.apache.spark.ml.linalg.Vector = (0,[],[])
> scala> org.apache.spark.ml.linalg.Vectors.sparse(0, Array.empty[(Int, 
> Double)])
> res16: org.apache.spark.ml.linalg.Vector = (0,[],[])
> scala> org.apache.spark.mllib.linalg.Vectors.sparse(0, Array.empty[Int], 
> Array.empty[Double])
> res17: org.apache.spark.mllib.linalg.Vector = (0,[],[])
> scala> org.apache.spark.mllib.linalg.Vectors.sparse(0, Array.empty[(Int, 
> Double)])
> java.lang.IllegalArgumentException: requirement failed: The size of the 
> requested sparse vector must be greater than 0.
>   at scala.Predef$.require(Predef.scala:224)
>   at org.apache.spark.mllib.linalg.Vectors$.sparse(Vectors.scala:315)
>   ... 50 elided
>  
> {code}



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