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https://issues.apache.org/jira/browse/SPARK-14147?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15211373#comment-15211373
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Sun Rui commented on SPARK-14147:
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I am not familiar with ML. my question is that is there any reason that data of
vector type be collected back to R side and how will it be manipulated? Can ML
be solely done on Scala side? and do you know any existing R data type that
can map to the vector type?
> 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
> Components: SparkR
> 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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