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

2015-08-31 Thread Apache Spark (JIRA) 

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

Apache Spark reassigned SPARK-10117:


Assignee: Apache Spark  (was: Kai Sasaki)

> 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: Apache Spark
>
> 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", "1")
>   .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-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

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

2015-08-31 Thread Apache Spark (JIRA) 

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

Apache Spark reassigned SPARK-10117:


Assignee: Kai Sasaki  (was: Apache Spark)

> 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
>
> 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", "1")
>   .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-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org