[jira] [Created] (SPARK-17953) Fix typo in SparkSession scaladoc

2016-10-15 Thread Tae Jun Kim (JIRA) 
Tae Jun Kim created SPARK-17953:
---

 Summary: Fix typo in SparkSession scaladoc
 Key: SPARK-17953
 URL: https://issues.apache.org/jira/browse/SPARK-17953
 Project: Spark
  Issue Type: Documentation
  Components: Documentation
Reporter: Tae Jun Kim
Priority: Minor


At SparkSession builder example,
{code}
SparkSession.builder()
 .master("local")
 .appName("Word Count")
 .config("spark.some.config.option", "some-value").
 .getOrCreate()
{code}

should be

{code}
SparkSession.builder()
 .master("local")
 .appName("Word Count")
 .config("spark.some.config.option", "some-value")
 .getOrCreate()
{code}

There was one dot at the end of the third line
{code}
 .config("spark.some.config.option", "some-value").
{code}



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[jira] [Commented] (SPARK-14709) spark.ml API for linear SVM

2016-09-21 Thread Tae Jun Kim (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-14709?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15512391#comment-15512391
 ] 

Tae Jun Kim commented on SPARK-14709:
-

Cheer up guys! I'm looking forward to DF based SVM :-)
Always thanks for implementations!

> spark.ml API for linear SVM
> ---
>
> Key: SPARK-14709
> URL: https://issues.apache.org/jira/browse/SPARK-14709
> Project: Spark
>  Issue Type: New Feature
>  Components: ML
>Reporter: Joseph K. Bradley
>
> Provide API for SVM algorithm for DataFrames.  I would recommend using 
> OWL-QN, rather than wrapping spark.mllib's SGD-based implementation.
> The API should mimic existing spark.ml.classification APIs.



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