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From "Narine Kokhlikyan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-14147) SparkR - ML predictors return features with vector datatype, however SparkR doesn't support it
Date Fri, 25 Mar 2016 03:36:25 GMT

    [ https://issues.apache.org/jira/browse/SPARK-14147?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15211364#comment-15211364
] 

Narine Kokhlikyan commented on SPARK-14147:
-------------------------------------------

cc: [~sunrui] [~shivaram]

> SparkR - ML predictors return features with vector datatype, however SparkR doesn't support
it
> ----------------------------------------------------------------------------------------------
>
>                 Key: SPARK-14147
>                 URL: https://issues.apache.org/jira/browse/SPARK-14147
>             Project: Spark
>          Issue Type: Bug
>            Reporter: Narine Kokhlikyan
>
> It seems that ML predictors in SparkR return an output which contains features represented
with vector datatype, however SparkR doesn't support it and as a result features are being
displayed as an environment variable.
> example: 
> prediction <- predict(model, training)
> DataFrame[Sepal_Length:double, Sepal_Width:double, Petal_Length:double, Petal_Width:double,
features:vector, prediction:int]
> collect(prediction)
>     Sepal_Length Sepal_Width Petal_Length Petal_Width                   features prediction
> 1            5.1         3.5          1.4         0.2 <environment: 0x10b7a8870>
         1
> 2            4.9         3.0          1.4         0.2 <environment: 0x10b79d498>
         1
> 3            4.7         3.2          1.3         0.2 <environment: 0x10b7960a8>
         1



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