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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/08/20 04:44:46 UTC
[jira] [Assigned] (SPARK-10127) Add numpy-like indexing interface
for DenceMatrix
[ https://issues.apache.org/jira/browse/SPARK-10127?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-10127:
------------------------------------
Assignee: (was: Apache Spark)
> Add numpy-like indexing interface for DenceMatrix
> -------------------------------------------------
>
> Key: SPARK-10127
> URL: https://issues.apache.org/jira/browse/SPARK-10127
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Hiroshi Takahashi
>
> Currently, we don't have good interface to access sub-matrix.
> It's inconvenience to prototype manipulate matrix via spark-shell for the reason.
> My suggestion is to add operator "!" as operator of accessing sub-matrix instead of numpy's ().
> for example:
> {code}
> scala> import org.apache.spark.mllib.linalg.DenseMatrix
> import org.apache.spark.mllib.linalg.DenseMatrix
> scala> val dm = new DenseMatrix(3, 3, Array(1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0))
> dm: org.apache.spark.mllib.linalg.DenseMatrix =
> 1.0 2.0 3.0
> 4.0 5.0 6.0
> 7.0 8.0 9.0
> // get row
> scala> dm!(1)
> res0: org.apache.spark.mllib.linalg.DenseMatrix = 4.0 5.0 6.0
> // get (i, j)
> scala> dm!(1, 2)
> res1: Double = 6.0
> // get colmun
> scala> dm!((), 1)
> res2: org.apache.spark.mllib.linalg.DenseMatrix =
> 2.0
> 5.0
> 8.0
> // get columns between i and j-1
> scala> dm!((), (1, 3))
> res3: org.apache.spark.mllib.linalg.DenseMatrix =
> 2.0 3.0
> 5.0 6.0
> 8.0 9.0
> // get rows between i and j-1
> scala> dm!((1, 3))
> res4: org.apache.spark.mllib.linalg.DenseMatrix =
> 4.0 5.0 6.0
> 7.0 8.0 9.0
> // get sub-matrix between (i1, j1-1) and (i2, j2-1)
> scala> dm!((1, 3), (1, 3))
> res5: org.apache.spark.mllib.linalg.DenseMatrix =
> 5.0 6.0
> 8.0 9.0
> {code}
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