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Posted to issues@spark.apache.org by "Ram Sriharsha (JIRA)" <ji...@apache.org> on 2015/05/22 01:36:17 UTC
[jira] [Comment Edited] (SPARK-7404) Add RegressionEvaluator to
spark.ml
[ https://issues.apache.org/jira/browse/SPARK-7404?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14555285#comment-14555285 ]
Ram Sriharsha edited comment on SPARK-7404 at 5/21/15 11:35 PM:
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scikit learn and R provide a variety of regression metrics
http://scikit-learn.org/stable/modules/model_evaluation.html#regression-metrics
http://artax.karlin.mff.cuni.cz/r-help/library/rminer/html/mmetric.html
R2 score and RMSE seem like natural metrics to make available via the Evaluator.
was (Author: rams):
sickout learn and R provide a variety of regression metrics
http://scikit-learn.org/stable/modules/model_evaluation.html#regression-metrics
http://artax.karlin.mff.cuni.cz/r-help/library/rminer/html/mmetric.html
R2 score and RMSE seem like natural metrics to make available via the Evaluator.
> Add RegressionEvaluator to spark.ml
> -----------------------------------
>
> Key: SPARK-7404
> URL: https://issues.apache.org/jira/browse/SPARK-7404
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 1.4.0
> Reporter: Xiangrui Meng
> Assignee: Ram Sriharsha
>
> This allows users to tune regression models using the pipeline API.
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