You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/08/02 04:38:20 UTC
[jira] [Commented] (SPARK-16843) Select features according to a
percentile of the highest scores of ChiSqSelector
[ https://issues.apache.org/jira/browse/SPARK-16843?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15403333#comment-15403333 ]
Apache Spark commented on SPARK-16843:
--------------------------------------
User 'mpjlu' has created a pull request for this issue:
https://github.com/apache/spark/pull/14449
> Select features according to a percentile of the highest scores of ChiSqSelector
> --------------------------------------------------------------------------------
>
> Key: SPARK-16843
> URL: https://issues.apache.org/jira/browse/SPARK-16843
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Affects Versions: 2.1.0
> Reporter: Peng Meng
> Priority: Minor
> Fix For: 2.1.0
>
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> It would be handy to add a percentile Param to ChiSqSelector, as in the scikit-learn one: http://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html
--
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