zhengruifeng created SPARK-23085:
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Summary: 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
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}
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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