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Posted to issues@spark.apache.org by "zhengruifeng (JIRA)" <ji...@apache.org> on 2018/08/03 02:08:00 UTC
[jira] [Commented] (SPARK-10413) ML models should support
prediction on single instances
[ https://issues.apache.org/jira/browse/SPARK-10413?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16567683#comment-16567683 ]
zhengruifeng commented on SPARK-10413:
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Is there a plan to expose {{{{predict}}}} in clustering algs? [~mengxr]
I just encounter a case in which this feature is needed.
> ML models should support prediction on single instances
> -------------------------------------------------------
>
> Key: SPARK-10413
> URL: https://issues.apache.org/jira/browse/SPARK-10413
> Project: Spark
> Issue Type: Umbrella
> Components: ML
> Reporter: Xiangrui Meng
> Priority: Critical
>
> Currently models in the pipeline API only implement transform(DataFrame). It would be quite useful to support prediction on single instance.
> UPDATE: This issue is for making predictions with single models. We can make methods like {{def predict(features: Vector): Double}} public.
> * This issue is *not* for single-instance prediction for full Pipelines, which would require making predictions on {{Row}}s.
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