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Posted to issues@spark.apache.org by "Narine Kokhlikyan (JIRA)" <ji...@apache.org> on 2016/03/25 04:35:25 UTC

[jira] [Created] (SPARK-14147) SparkR - ML predictors return features with vector datatype, however SparkR doesn't support it

Narine Kokhlikyan created SPARK-14147:
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             Summary: 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)
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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