[jira] [Resolved] (SPARK-10117) Implement SQL data source API for reading LIBSVM data

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10117?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng resolved SPARK-10117.
-----------------------------------
       Resolution: Fixed
    Fix Version/s: 1.6.0

Issue resolved by pull request 8537
[https://github.com/apache/spark/pull/8537]

> Implement SQL data source API for reading LIBSVM data
> -----------------------------------------------------
>
>                 Key: SPARK-10117
>                 URL: https://issues.apache.org/jira/browse/SPARK-10117
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: Xiangrui Meng
>            Assignee: Kai Sasaki
>             Fix For: 1.6.0
>
>
> It is convenient to implement data source API for LIBSVM format to have a better integration with DataFrames and ML pipeline API.
> {code}
> import org.apache.spark.ml.source.libsvm._
> val training = sqlContext.read
>   .format("libsvm")
>   .option("numFeatures", "10000")
>   .load("path")
> {code}
> This JIRA covers the following:
> 1. Read LIBSVM data as a DataFrame with two columns: label: Double and features: Vector.
> 2. Accept `numFeatures` as an option.
> 3. The implementation should live under `org.apache.spark.ml.source.libsvm`.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org